||||||H|l||l|IIIIHIHIIIHilillllllllllllllil “HQIIEIIIIQSOO885 7173 This is to certify that the PESTICIDE USE INFORMATION FLOWS AND COMPETENCIES' OF AGRITEX EXTENSION AGENTS IN THE MIDLANDS AND dissertation entitled . MASHONALAND CENTRAL PROVINCES OF ZIMBABWE presented by RAYMOND TAFUNGISRA KUJEKE i ' has been accepted towards fulfillment of the requirements for _Ph D degreein Agricultural and extension Education a/Kéffiif/ 1 Major professor 7/26/93 ate MS U is an Affirmative Acn’on/ Equal Opportunity Institution 0-12771 LIBRARY Michigan State University ‘— .A—_ PLACE IN RETURN BOX to remove this checkout from your record. TO AVOID FINES return on or before date due. A DAIE DUE DATE DUE DATE DUE ‘u -———————— ' a c v —-_———— I ‘ I. . i M SU Is An Affirmative Action/Equal Opportunity Institution cwrchmava PESTICIDE USE INFORMATION FLOWS AND COMPETENCIES OF AGRITEX EXTENSION AGENTS IN THE MIDLANDS AND MASHONALAND CENTRAL PROVINCES OF ZIMBABWE By Raymond Tafungiswa Kujeke A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Agricultural and Extension Education 1993 John Bobbitt, Advisor ABSTRACT PESTICIDE USE INFORMATION FLOWS AND COMPETENCIES OF AGRITEX EXTENSION AGENTS IN THE MIDLANDS AND MASHONALAND CENTRAL PROVINCES OF ZIMBABWE By Raymond Tafungiswa Kujeke There is an insufficient knowledge base on the effectiveness of public extension systems in developing countries. Specifically, little is known about the interaction of technology use by small-scale farmers and the extension organizational behavior, and, the technical competencies required of extension agents. The main objective of this study was to determine the nature of information flows and the technical competencies of public extension agents in Zimbabwe with respect to pesticide use. Data were collected from a sample of 209 Agritex extension agents in the Midlands and Mashonaland Central provinces using a questionnaire. The data related to extension agent technical competence, use of information sources and channels, attitudes, and technical support needs with respect to pesticide use. There was wide variance in technical competence. Using multiple regression, the following independent variables had a significant influence on variation in competence scores: age, gender, level of in-service training received, contact and use of private sector representatives as information sources. There were no significant relationships between Cepyright by RAYMOND TAFUNGISWA KUJEKE 1993 This work is dedicated to Mashoko Alfred Kujeke, alias Mao, who would have been first. ACKNOWLEDGMENTS I am grateful to Dr. John "Frank" Bobbitt for his support as my major advisor and chairperson of the dissertation committee. The support from the other committee members, Dr Richard Bernsten, Dr. Jake Wamhoff and Dr. James Dearing is also appreciated. I am indebted to the Rotary Foundation and The World Bank for sponsoring my doctoral studies. Special thanks to the counsellors Cheryl Kane and Dr. Ron Nichols for all the help. The field research was sponsored in part by Shell Developments (Zimbabwe); thanks to Frank Dyson for extending resources during the field work in Zimbabwe. Various people provided useful critic and feedback during the study. I benefited from attending and interacting with faculty and fellow doctoral candidates at the Summer Institute for African Agricultural Research at the University of Wisconsin-Madison. Thanks also to Dr. Olivia Muchena of the University of Zimbabwe for useful insights during the fieldwork. The study was made possible by the cooperation of the Zimbabwe Ministry of Lands, Agriculture and Water Development, the Agritex director, and all the Agritex extension staff who took the time to participate despite the arduous drought conditions at the time. Last my appreciation and love go to my wife, Noline, and family (especially Gogo - pure Murozvi weWedza!) for their unwavering support and encouragement throughout this endeavor. I hope this inspires and makes them proud. vi TABLE OF CONTENTS Rae LIST OF TABLES ................................................... x LIST OF FIGURES ................................................. xii LIST OF ABBREVIATIONS AND ACRONYMS .......................... xiii CHAPTER I INTRODUCTION .................................................... 1 Problem Statement ............................................. 3 Study Objectives ............................................... 4 Research Questions ............................................. 5 Research Hypotheses ............................................ 5 Assumptions and Limitations of the Study ............................ 7 Definition of Terms ............................................. 8 Scope and Significance of the Study ................................. 9 Overview of the Dissertation ..................................... 10 CHAPTER II BACKGROUND OF THE STUDY ...................................... 11 Conceptual Framework ......................................... 11 The Technology Transfer Paradigm .......................... 12 The Non-formal Agricultural Education Paradigm ............... 15 Organizational Behavior ................................... 18 Organizational Communication ............................. 20 Agricultural Extension in Developing Countries ....................... 21 Public Sector Extension ................................... 22 Private Sector Extension .................................. 23 Extension Organization ................................... 24 Problems with Public Extension Systems ...................... 25 Country Setting ............................................... 27 Agriculture ............................................. 27 Extension .............................................. 29 Pesticide Use ........................................... 34 Summary .................................................... 36 vii Table of Contents (cont’d) Pa e CHAPTER III ‘2‘ LITERATURE REVIEW .............................................. 37 Information Needs and Sources ................................... 37 Farmer Pesticide Use Information Needs and Sources ............ 42 Agritex Pesticide Use Information Needs and Sources ............ 45 Prrvate Sector Pestrcrde Use Information Needs and Sources ....... 47 PPRI Pesticide Use Information Needs and Sources ............. 48 Information Channels ..................................... 50 Mass Media Channels .................................... 54 Technical Competence .......................................... 56 Factors Influencing Performance ............................ 59 Extension Agent Technical Support Needs ........................... 63 Training ............................................... 63 Attitudes to Pesticide Use ............... - ........................ 66 Summary .................................................... 67 CHAPTER IV RESEARCH PROCEDURES ........................................... 70 Study Design ................................................. 70 Target Population ............................................. 71 Sampling .................................................... 72 Development of Survey Instrument ................................ 74 Validity ..................................................... 75 Reliability ................................................... 77 Distribution and Collection of the Questionnaire ...................... 78 Data Analysis ................................................ 79 N ull Hypotheses ......................................... 80 CHAPTER V STUDY FINDINGS .................................................. 83 Demographic Characteristics of Respondents ........................ 83 Technical Competence .......................................... 92 Regression Analysis ...................................... 95 Information Sources and Channels ....................... . ......... 102 Information Sources for Pesticide Use ........................ 102 Use of Information Sources ................................ 104 Contact with Pesticide Companies ........................... 107 Comments on Information Sources .......................... 110 Attitudes toward Pesticide Use ................................... 111 Technical Support Needs ........................................ 121 Summary of Written Comments .................................. 125 viii Table of Contents (cont’d) Bags: CHAPTER VI SUMMARY, CONCLUSIONS AND RECOMMENDATIONS .................. 126 Summary .................................................... 126 The Research Problem .................................... 126 Research Questions ...................................... 127 Methodology ........................................... 129 Assumptions and Limitations of the Study .................... 130 Study Findings .......................................... 131 Conclusions and Implications ..................................... 137 Recommendations ............................................. 142 Areas for Further Study ......................................... 147 APPENDICES Agritex: Research Approval Letter ................................ 148 Letters to Chief Agricultural Officers ...... - ........................ 149 Agritex Organizational Chart ..................................... 150 Agritex Field Staff by Gender .................................... 151 UCRIHS Approval Letter ....................................... 152 Cover Letter and Questionnaire .................................. 157 Comments on Information Sources ................................ 169 Factor Analysis of Attitude Variables .............................. 172 BIBLIOGRAPHY ................................................... 176 LIST OF TABLES Table 2.3.92 1. Zimbabwe - Land Use Categories .................................... 28 2. Agritex - Technical and Extension Personnel ............................ 33 3. Agritex - Budget Allocations and Expenditure (1982-87) ................... 63 4. Extension Agent Sample by Rank in Organization ........................ 72 5. Extension Agent Sample by Location ......................... . ......... 73 6. Correlation Matrix of Extension Agent Demographic Variables .............. 92 7. Extension Agent Pesticide Application Skills ............................ 93 8. Extension Agent Pesticide Products Knowledge . .i ........................ 93 9. Extension Agent Knowledge of General Pest Management ................. 94 10. Withdrawn/Banned Products Mentioned in Product Recommendations ....... 95 11. Semi-partial Multiple Regression Coefficients for Independent Variable Sets . . . 96 12. Units of Measurement, Means and Standard Deviations for Independent Variables in the Regression Analysis ............................... 97 13. Multiple Regression Analysis of Independent Variables on Extension Agent Competency Score ............................................. 98 14. Importance of Pesticide Use Information Sources Mentioned by Extension Agents ...................................................... 102 15. Extension Agents’ Perceived Importance of Agritex Officers and Sales Representatives/ Dealers as Pesticide Use Information Sources ........... 103 16. Ranking of Information Sources based on Frequency of Use ................ 104 17. Extension Agents’ Frequency of Use of Formal and Informal Channels for Pesticide Use Information ....................................... 105 List of Tables (cont’d) 11le Page 18. Extension Agents’ Frequency of Use of Rich and Lean Media Channels ....... 106 19. Extension Agents’ Contact with Pesticide Company Representatives (1991-92) . . 108 20. Analysis of Variance for Extension Agents’ Use of the Radio and Demographic Variables .................................................... 109 21. Extension Agents’ Attitudes toward Agritex ............................. 112 22. Means, F-values, and Significance of F -va1ues for Extension Agent Attitudes to Agritex Variables ...................... - ........................ 113 24. Means, F -values, and Significance of F-values for Extension Agent Attitudes to Pesticide Company and Representative Variables ..................... 115 25. Extension Agents’ Attitudes toward Small-scale Farmers ................... 116 26. Means, F—values, and Significance of F-values for Extension Agent Attitudes to Farmer Variables .............................................. 117 27. Extension Agent Attitudes toward Pesticide Use Information and Knowledge . . . 119 28. Means, F-values, and Significance of F-values for Extension Agent Attitudes to Information and Knowledge Variables .............................. 120 29. Extension Agent Attendance at Agritex In-service Training Courses .......... 122 30. Availability of Bools and other Print Materials for Extension Agents ......... 123 31. Availability of Protective Clothing for Extension Agents ................... 124 32. Frequency of Preferred Topics listed by Extension Agents .................. 125 LIST OF FIGURES Saute Rage 1. Conceptual Framework ............................................ 35 2. Conceptual Framework of Agricultural Knowledge Systems ................. 40 3. Categories of Decision-makers in Pest Management in Zimbabwe ............ 41 4. Hierarchy of Media Richness ....................................... 52 5. Components of Extension Agent Performance Assessment ................. 61 6. Extension Agent Age Distribution .................................... 84 7. Extension Agent Gender ........................................... 86 9. Highest Agricultural Qualification Attained .............. . .............. 88 10. Position in Agritex ................................................ 89 90 11. Extension Agent Length of Service ................................... LIST OF ABBREVIATIONS AND ACRONYMS AGRITEX - Department of Agricultural, Technical and Extension Services CILCA - International Liaison Committee for Food Crops Programs CSO - Central Statistical Office DCC - Drug Control Council DR&SS - Department of Research and Specialist Services ESAP - Economic Structural Adjustment Program EW - Extension Worker HSB - Hazardous Substances Board 1PM - Integrated Pest Management MLAWD - Ministry of Lands, Agriculture and Water Development MTU . Mobile Training Unit (Agritex) NARS - National Agricultural Research Systems NGO - Non-governmental Organization PPRI - Plant Protection Research Institute PVO - Private Voluntary Organization PSC - Public Service Commission SMS - Subject Matter Specialist T&V - Training and Visit System of Extension ZFC - Zimbabwe Fertilizer Corporation ZIDS - Zimbabwe Institute of Development Studies CHAPTER I INTRODUCTION There is an abundance of literature on the shortcomings of importing agricultural technology for small-scale farmers in the developing world. Agricultural technology, like machinery and agricultural chemicals, has often led to spectacular increases in farm production and improvements in the quality of life in industrially-developed countries. However, it has somehow failed to prove itself when put to the test in developing countries. The common reasons for this failure include the inappropriateness of the technology, and, a lack of compatibility between the technology and the social environmental setting in which it is used. The technology transfer systems of most developing countries are inappropriate. A common assumption in most transfer systems is that there is a natural, and inevitable, unidirectional relationship between the formal research process and the process of transferring the research know-how and its adoption by farmers. Research emphasis has now broadened from focusing on why agricultural technology does or does not diffuse in these environments, to ways of understanding and developing the institutions responsible for technology transfer, and on the indigenous knowledge systems of different farmers. This is an acknowledgement of the obvious findings that knowledge transfer is not always a unilateral movement from the research system to the farmer, and, of the need for research on communication as a process. Farmers and service institutions generate knowledge which also needs to be developed and disseminated by extension organizations. Extension, the conscious use of communication of information, and the institutions responsible for technology transfer are 2 important elements in the diffusion process. There is a need for better understanding of the processes of technological innovation and dissemination of useful technical knowledge within the extension systems of developing countries. Human resource development and multidimensional technology transfer capacity are critical areas in determining the effectiveness of public agricultural extension systems. Pesticides, by controlling pest populations directly or reducing/ preventing pest damage, provide a novel and relatively fast technology for increasing agricultural production. While there is evidence that pesticides alone do not lead to sustainable pest management in agriculture, most developing countries experience constraints in resources to generate a body of knowledge on alternate pest management strategies. The use of pesticides and other agricultural inputs by small-scale farmers in Zimbabwe is increasing. This increase is likely to continue before other means of pest control become cost-effective for small-scale users. There is still an inadequate empirical base on the subject of agricultural service provision in developing countries. Specifically, little is known about the manner in which organization network structure affects information flow. Knowledge about the relationship between agricultural extension organization structures and information flow has remained at a global level because there has been a paucity of research attempts to address, empirically, the features of organizational systems and the flow of specific information. The goal of this study was to identify and / or generate useful information for the improvement of the technical competencies of Zimbabwean extension agents through the development of more appropriate training and technical information networks. The study focused on pesticide use, as one example of agricultural technology, to assess the technical 3 competency of extension agents, and the technical information flows within the public extension organization, Agritex. Problem Statement It has been shown that the efficient use of agricultural chemicals by farmers requires adequate support from extension. The technical competence of agricultural extension agents regarding appropriate pesticide use is an important factor in their ability to meet the technical advisory needs of farmers. Technical competency of extension agents is likely to be influenced by a variety of factors, such as their educational qualifications, the quantity and quality of in-service training they receive, and the availability of relevant technical information and/or other resources to assist and update. The formal qualifications of public extension agents in Zimbabwe, as in other developing countries, are relatively low, especially as one goes down the ranks of the organizational hierarchy. Small-scale farmers tend to have limited interaction with the extension system, and specifically with adequately trained extension agents. There is no formal evaluation of extension agents for specific knowledge or skills regarding the use of pesticides. Private companies manufacture and market agricultural chemicals with minor formal obligations regarding both farmer and extension agent knowledge and skills. The technical support provided by pesticide companies to farmers is narrow, generally limited to the purchased products, and not extended to the broader range of agricultural production and management problems. The promotion of improved agricultural practices, is, and will likely remain, primarily a public sector function. Agritex is the predominant public agricultural extension 4 organization in Zimbabwe. Agritex’s ability to create and/or disseminate relevant technical information is therefore critical. For an "external" technology like pesticides, this ability is influenced by the strength of its communication links with pesticide research, manufacturing, and, marketing organizations. The knowledge levels of extension agents, and the technical, funding and administrative limitations of Agritex to facilitate the flow of technical information, are key factors in determining the level of effectiveness of technical support for pesticide use available to small-scale farmers. Extension efforts have generally been inadequate in promoting learning of agricultural technology by extension agents. Study Objectives The primary purpose of this study was to determine the nature of technical information flows, and the technical competencies and needs of selected Agritex field extension agents regarding the use of pesticides. The secondary purpose was to evaluate the perceptions of key personnel in the pesticide industry, pesticide use organizations, and senior Agritex personnel regarding the technical support needs of Agritex field extension agents. 5 Research Questions To meet the purposes of the study, the major questions that guided the research process were: 1. What are the technical competencies of Agritex extension agents regarding pesticide use? 2. What sources and channels are used to disseminate technical information related to pesticide use within Agritex? 3. What are the attitudes of Agritex extension agents toward pesticide use? 4. What are the technical support needs of Agritex extension agents regarding pesticide use management? Research Hypotheses The following research hypotheses were set a priori, and tested in an attempt to provide answers to the research questions: 0 es' ' -.t .. Collo't‘ ‘o _ esio ents 'waop " .- s (1) Technical competence is related to the extension agents’ formal qualifications. (2) Technical competence is related to the level of in-service training received by extension agents. 6 (3) Technical competence is related to the extension agents’ level of on-the-job experience. (4) Technical competence is related to other demographic characteristics of extension agents. a'oS esa a (1) Other organizations are perceived 'by extension agents as more important sources of information than Agritex. (2) Extension agents use formal more than informal channels in the acquisition of pesticide use information. (3) Media richness affects the extension agents’ use of pesticide information sources and channels. (4) Use of information sources and channels is related to the extension agents’ demographic characteristics. 3 ' ‘ s' s’ ' s w est' 'd s (1) Extension agents’ attitudes toward pesticide use are related to demographic characteristics. 4' hn' u 0 Needs e ardin Pestic'de se Marta e (1) There is a need to improve technical support to Agritex field extension agents regarding pesticide management. (2) Agritex should be responsible for supporting field extension agents in pesticide use management. 7 (3) Pesticide companies should be responsible for supporting extension agents in pesticide use management. (4) There is a need for formal communication between field extension agents and the pesticide company’s technical specialists. Assumptions and Limitations of the Study The main focus of the study was limited to Agritex extension agents for practical and financial considerations. Data was not collected from other extension agents, for example those in the private sector, or farmers, who are the primary end-users of pesticides. Because of the severity of the drought at the time of data collection, only two of Zimbabwe’s eight provinces were selected for the study. There was selection bias in that the two provinces, Midlands and Mashonaland Central, were somewhat less affected by the drought, and, are usually more productive. The findings are therefore not generalizable nationally, and also may have been influenced by the unusual environmental conditions at the time of data collection. The study was limited to management and use of pesticide information. The findings, conclusions and recommendations are bound to the characteristics of this technology, which may not be applicable to other types of agricultural technology. Assessment of the extension agents’ technical competence was by proxy, using responses to written questions. Lack of a more practical assessment of competence was therefore a methodological limitation. The underlying assumption was that written responses could provide a reliable measure of competence, and further, that honest responses would be disclosed. 8 Definition of Terms WWW - a chemical used to control pest populations (including weeds) directly, or to reduce or prevent pest damage. Attitude - a general and enduring positive or negative feeling about some person, object or issue. Communication — the process of creating shared meaning among two or more people through verbal and nonverbal transaction. Competengg - an underlying characteristic of a person that results in effective and/ or superior performance in a job. Electmnigmegja - used broadly to refer to radio, telephone, television and computers. W - Agritex personnel employed in the field and technical divisions. W - the style of action within an extension system. W - an extension organization, such as a ministry of agriculture extension system or university-based extension system. W - the chosen course of action, such as multi-step information flow strategy or multimedia strategy. W - educational techniques used by the extension system, particularly by its field staff in communicating with farmers. W - official paths of message/ information flow prescribed by the organization’s chain of command. W - unofficial and informal networks (”the grapevine”) used by organization members for message/ information flow. 9 Wang! - a means of passage, for example verbal, print or electronic media, for transmitting a message from one point to another. W - the transmission of messages between two or more persons, or, discrete points in a system. [W199 - a person or point of origin, such as an individual or organization, that provides or initiates a message. Witness - the capacity of a medium to facilitate shared meaning. Rich media (for example, face-to-face communication or telephone) has the highest capacity to facilitate shared meaning. Lean media (newspapers or journals) has the lowest capacity. Sales representati g - person employed in a sales capacity by or for a pesticide company. WIS - farmers engaged in agricultural activities in the communal and resettlement areas. Used synonymously with communal farmers. WWI.“ - implies an understanding of, and proficiency in, a specific kind of activity, particularly one involving methods, processes, procedures or techniques. W - in a broad sense, information that is put to use. Scope and Significance of the Study There is growing concern regarding the cost-effectiveness of public agricultural services in developing countries. With increasing competition for public resources, agricultural extension organizations have to show their relevance in more specific terms, rather than the old adage of attempting to help all farmers, everywhere, with all their needs. This may require refocusing public extension programs to doing only that which they are capable of doing. One potential alternative to the traditional public extension system is 10 greater involvement and cooperation with private extension. Attempts at revamping public extension systems require closer scrutiny of what they are currently doing and a listing of their specific capabilities and needs in the various facets of extension programming. The study considered the case of pesticide use amongst small-scale farmers in Zimbabwe, and attempted to evaluate the role of the public extension system and the competencies of its field extension staff. The general aim was to add more knowledge and insights for strengthening the extension system, especially in the area of extension agent performance and integrating public and private extension. Overview of the Dissertation Chapter I has provided a brief introduction, statement of the problem, and the major research questions and hypotheses that guided the study. The key assumptions and limitations of the study were summarized. Chapter 11 sets the conceptual framework, gives an overview of pertinent issues related to extension and extension organizations in developing countries. The chapter concludes with a brief description of Zimbabwe, background information on the public extension organization, Agritex, and lastly, pesticide use. Chapter III is a review of literature related to the research problem. The research design and procedures used in the study are detailed in Chapter IV. Chapter V presents details of the study findings. The final Chapter is a summary of the study, the conclusions, and recommendations. Copies of the main protocol documents, and relevant and / or lengthy secondary and primary data items are listed in the appendices. CHAPTER II BACKGROUND OF THE STUDY This chapter begins by setting out the conceptual framework for the research problem. A discussion of some key concepts and issues related to the provision of agricultural extension services in developing countries follows. The chapter concludes with some background information on Zimbabwe and its agricultural systems, the public extension organization, Agritex, and, lastly pesticide use. Conceptual Framework While there is almost universal agreement on the need for extension in agricultural development, there are diverse views on extension organization and functions. A key criterion for this divergence is how one defines extension. Extension can be viewed as a purely technology transfer function, or, as a non-formal agricultural education or rural human capital development function (Maalouf, 1991). How one defines extension is an important consideration in planning, implementing and evaluating interventions aimed at improving agricultural performance. 11 12 The Technology Transfer Paradigm The phrase ”technology transfer" often has different interpretations to different writers, and in different disciplines. Most definitions of technology transfer tend to emphasize the physical product(s) and its attributes. The concept of technology transfer is broader than the common, narrow notion of the product and / or its features. It includes the process of knowledge transfer. The knowledge and skills of extension agents regarding agricultural chemical use, for example, should be considered as technology. In this context, the movement of technical information between the organization’s members, formally or otherwise, can therefore be viewed as technology transfer. Technology transfer can be broadly defined as the communication of information that is put to use (Dearing, 1993). Thus theories from organizational communication are useful in understanding how technology and organizations interact. To make technology transfer successful requires overcoming the many barriers to communication encountered when individuals use different vocabularies, have different motives, represent organizations of widely differing cultures, and when the referents of the transactions may vary from highly abstract concepts to concrete products (Williams and Gibson, 1990). The underlying assumption of most extension programs in Africa has been that the main cause of farmer resistance to new technologies is psychological (Lele, 1976). The adoption and use of new technologies is necessary for the achievement of food security (UNDP, 1991). Rukuni (1991), identifies new technology produced by public and private investments in agricultural research, as one of five "prime movers" necessary for sustainable agricultural development. The need for technology and its adoption differs greatly within the diverse agricultural systems and farmers of developing regions. The 13 technological innovations promoted by extension agents are seldom aimed at resource-poor farmers (Kesseba, 1989). The absence of a specific policy framework for an effective technology generation and transfer system in public extension institutions leads to inadequate organizational and institutional arrangements for meeting extension goals. There are many cases of failed technology in developing countries. The material impact of this failure is illustrated by broken-down machinery in the rural countryside, for example. The lack of ownership, or access to technology, is not the central element contributing to the poverty of small farmers (Kesseba, 1989). Technological developments also have psychological effects; if imported technology seems all-powerful, people may feel that their efforts to improve the land and grow better crops are futile (IDS, 1991). While a strong case can be made against the negative impact of "external” technology, especially if this involves ignoring resource constraints and the capacity of farmers to generate knowledge, there is also danger in being unreceptive to outside innovations. lt ov ' Diffusion is the process by which an innovation is communicated through certain channels over time among the members of a social system (Rogers, 1983). Rogers describes it as a special type of communication in that the messages are concerned with new ideas. Agricultural extension services are a common form of public-sector support of knowledge diffusion (Birkhaeuser, 1991). Early work on diffusion of agricultural innovations tended to focus on the innovation and the adoptersl. Innovation was thought to be the best single 1Rogers (1983) and F eder (1985) provide reviews of adoption and diffusion of agricultural innovations studies. 14 indicator of the multi—faceted dimension called modernization, the individual-level equivalent of development (Rogers, 1976). In most diffusion studies, information is collected from the potential adopters, commonly farmers, to access the pattern of acceptance or rejection of an innovation. The pro-innovation bias of most diffusion studies is reflected in the terminology used to describe the spread of an innovation. Typically those who accept the innovation early are referred to as pioneers, innovators and / or progressive. Conversely, those taking up the innovation either late or not at all are called laggard, resistant to change, backward, and, a variety of other terms that blame them for not taking up the innovation. Mahajan and Peterson (1985) provide quantitative explanations of various diffusion models. They argue that for the basic diffusion model, the rate of diffusion of an innovation at any given time is a function of the gap between the total number of possible adopters at that time, and the number of previous adopters. The classical diffusion model is inadequate for explaining multiple adoptions, innovation modifications, and discontinuancez. Research findings on the specific effects of access to agricultural information on. adoption behavior are limited. Thomas, et a1. (1990) argue that part of the difficulty of specifying the effects of information is due to researchers’ use of few types of information sources, or their lumping of information sources into a single construct. The source or system in which diffusion occurs has generally been given less attention for most agricultural innovations. A common underlying assumption is that the social system is static relative to the innovation. Diffusion was, and in some cases still is, conceived as a unidirectional 2Mahajan & Peterson (1985) discuss these limitations and provide extensions and refinements of the classical diffusion model. 15 process in which knowledge and the desire to change originates in the research and/or extension systems, and then "diffuses" to the potential adopters. It is only recently that communication networks within agricultural organizations have begun to be regarded as an important criterion of organizational efficiency in diffusing technical innovations. The processes of organizational communication are critical in determining the efficiency of information flow. Within the organization, the interaction between technology development sources and receivers, both in and out of the organization, will differ and thus affect the knowledge transfer process. Rogers ( 1983) contends that agricultural diffusion is relatively centralized, in that key decisions about which innovations to diffuse, how to diffuse them, and to whom, are made by a small number of technically expert officials near the top of a diffusion system. The Non—formal Agricultural Education Paradigm Since most people cannot come to school, school must go to them. Anonymous. Technology is not a sufficient condition for increasing agricultural productivity. The premise of non-formal education is the existence of knowledge differences between what the farmer knows and available knowledge. New technology in not a necessary condition for improving productivity if farmer practices lag behind available knowledge. Extension is therefore primarily a deliberate intervention aimed at raising the knowledge level of farmers. 16 W Theories of learning provide a philosophical basis of the non-formal education paradigm. Many education experts have observed that understanding how a person learns, and helping people understand how to learn is a major requisite for a successful educational program3. This understanding is especially important for adult education programs since participants have different needs than those in more conventional learning situations (Pigg et aL, 1980). On the value of learning theories, Hill (1977) notes that theories do not give us solutions, but they do direct our attention to those variables that are crucial in finding solutions. Learning theories abound in the literature of psychology and education, a situation that reflects both the variety of approaches taken in conceptualizing learning and the lack of consensus on any one of them (Griffith, 1984). Three areas of direct relevance to the non-formal education paradigm are the ideas of behaviorist, cognitive and experiential learning theorists“. Behaviorists emphasize the need for carefully studying the changes associated with attempting to change the learner’s ways of doing things using stimulus-response studies. Most notable amongst the early behaviorists was Pavlov and his famous work demonstrating the effects of ”conditioned" and ”unconditioned” stimulus on dogs. Pavlov also advanced the concept of inhibition which illustrated how learners can be distracted by external stimuli or if the conditioned stimulus is repeated without a reward. Skinner developed the latter to the concept of Operant conditioning, which is the process of presenting and withholding rewards to shape behavior. Another behaviorist, Thorndike put less emphasis on the role 3See for example Knowles (1973). 4Bower & Hilgard (1981) provide a comprehensive review of learning theories. 17 of understanding, but on the bonds between sense impressions and impulses to act. This bond, commonly called connectionism, stresses the importance of practice because it permits the power of the reward to strengthen the bond between the stimulus and the response. Cognitive theorists emphasize the organization of experience within the mind of the learner as a major variable of learning. The Gestalt and functionalism are two prominent cognitive theories. Gestalt theory deals with the ways experience is recorded in the mind and how it is used to provide solutions to problems and conflicts. Learning is viewed, not as an isolated event, but a process occurring within the larger context of the learner’s experience. Extension education programs should therefore be guided by the learner’s background of experience in the presentation of new information. John Dewey was one of the more prominent advocates of the functionalism theory which asserts that human beings solve problems through thoughtful interaction with their environment (Griffith, 1984). Extension educators are most helpful when they teach their clients approaches to problem- solving instead of simply giving answers to their questions. Experiential learning theory defines learning as a sequence of events with one or more identified learning objectives, requiring active involvement by participants in one or more points in the sequence (Walter & Marks, 1981). Active involvement requires experience-based training and engages learners in deciding what is to be learned, how it is to be learned and how their achievement is to be assessed. Unlike the other learning theories, experiential learning is normative and expresses a value position. The non-formal education agricultural paradigm emphasizes the value of change through teaching. It falters in not explicitly examining the basis for choosing the changes to be promoted. Education is not a neutral experience. Every educative experience 18 expresses a value position either explicitly or implicitly (Griffith, 1984). Paulo Freire (1990) sums up the nature of knowledge transfer: Knowledge is not extended from those who consider that they know to those who consider that they do not know. Knowledge is built up in the relations between human beings and the world, relations of transformation, and perfects itself in the critical problematization of these relations. The research problem was also conceptualized as arising from other general areas in extension and agricultural development. The following background reviews concepts and issues from three areas: (1) organizational behavior and communication, (2) agricultural extension in developing countries, (3) the country setting and Agritex. Organizational Behavior Understanding how organizations work provides insights into possible ways in which they can be more effective. Organizational issues are of central importance when reviewing reasons for the low productivity of Africa’s present extension services (Moris, 1991). To analyze the issue of administrative and management incapacity, for the improvement of communication networks, it is necessary to examine how organizations function and how they respond to internal and external problems. Bureaucracy is the most common form of public organizational structure in developing countries. There is an abundance of literature on the characteristics of bureaucracies. The concept of “bureaucracy” is commonly used to describe huge, inflexible and impersonal organizations. Max Weber is credited with specifying the characteristics of the bureaucracy, as an ideal organizational form (Schermerhorn et al., 1988). The reasons for this assertion lie in the bureaucracy’s organizational form. Using Weber’s criteria, the ideal bureaucracy 19 is not hindered by the personal whims of the leader or by traditional procedures since the means used are those which will best achieve stated goals. The typical bureaucracy also has a well defined hierarchy of authority, which ranks members of the organization in terms of power and a system of rules. The result is a highly efficient system of coordination and control. This system perspective can be developed further to the contingency theory of behavior. The basic proposition of contingency theory is that there are no universal principles of management that can be applied uncritically (Gannon, 1979). Each situation needs to be analyzed in terms of such key variables as technology and external environmental uncertainty before an appropriate course of action is taken. This is the essence of the situational theory of behavior. Weber’s concept of an ideal bureaucracy has been criticized for a number of reasons. Mullins (1985) lists some of the criticisms. In the case of public sector bureaucracies there is a demand for uniformity of treatment, regularity of procedures and accountability for their operations. The overemphasis on rules and procedures, record-keeping and paperwork may become more important in its own right, than as a means to an end. Officials may develop a dependence upon bureaucratic status, symbols and rules. Initiative may be stifled and when a situation is not covered by a complete set of rules or procedures there is a lack of flexibility or adaptation to changing circumstances. Position and responsrbilities in the organization can lead to officious bureaucratic behavior. There also may be a tendency to conceal administrative procedures from outsiders. Impersonal relations can lead to stereotyped behavior and a lack of responsiveness to individual incidents or problems. Other critics of Weber’s work have also indicated its lack of attention to the informal organization and the development of groups with goals of their own. Argyris (1964) claims that bureaucracies restrict the psychological growth of the individual and cause a feeling of 20 failure, frustration and conflict. In most bureaucracies there is a tendency toward "goal displacement," where the means become ends in themselves and more important than the actual goals. Schwartz (1991) argues that the administration of a public sector extension service requires some bureaucracy but the critical question is its appropriate size. She notes that bureaucracies expand far more easily than they contract; between 1959 and 1980 African countries added 1,000 new extension agents per year. The public extension system in Zimbabwe increased its personnel by 40% during the period 1981-90 (Pazvakavambwa, 1991). In 1990 the Zimbabwean government initiated economic reforms which include a 25% reduction in the size of the civil service (Zimbabwe Government, 1991). Agritex is not ”immune" to the reductions and organizational changes proposed in the World Bank- initiated economic structural adjustment program (ESAP) in Zimbabwes. The key question is whether the organization can remain focused on the substance of extension, given the difficulties bureaucracies have in implementing significant organizational changes. Organizational Communication Communication is a process in which participants create and share information with one another in order to reach mutual understanding (Rogers, 1983). Mutual understanding or shared meaning occurs when information is placed within a context. There are three basic models of communication: linear, interactional and transactional. * 5C. Chidavanyika, World Bank Harare Office, personal communication (December, 1992). 21 The linear model provides the simplest description of the communication process. It represents communication as the one-way flow of a message from a source to a receiver. A source transmits a message through a channel to a receiver. The source must encode the message and the receiver must decode it. The linear model is similar to, and is often described as, radio transmission. The interactional model emphasizes the two-way nature of communication. The receiver provides feedback to the source, therefore reversing or exchanging roles during the process. The transactional model emphasizes communication as mutual and reciprocal. Both parties are equally important and influential in determining the outcome of the communication process. Encoding and decoding is a simultaneous process and not step-wise as in the interactional model. There is therefore no sharp distinction between source and receiver roles. The models of communication used in an organization are key factors influencing the learning styles of its members and consequently its clientele, the credibility of the organization and the messages transmitted, and, the relative use of formal and informal sources and channels of information. Agricultural Extension in Developing Countries Extension is a key component of the development strategies for the agricultural sector in most developing countries. Agricultural extension services were established throughout Africa during the colonial period (Eicher & Baker, 1982). During this period, the role of the extension agents was essentially coercive. With independence, the focus of most extension services in African countries has shifted to a more persuasive approach, and, on increasing the availability of extension services to farmers. Despite the numerous efforts 22 to improve the effectiveness of national extension programs, resources invested in extension services generally have a low return (Arnon, 1989; Gill, 1989). An extension approach is the style of action within a system (Axinn, 1988; Contado, 1990). There are various approaches to the provision of extension. Differences in extension approaches are influenced by the source of funds. and the type of organization responsible for organizing extension activities (UNDP, 1990). The major extension approaches can be broadly divided into those provided by public and private sector organizations. Public Sector Extension Most public sector extension in developing countries is provided through government ministries of agriculture or rural development. The justification for government assuming responsibility for extension is that the extension program, though aimed at improving the efficiency of agricultural production, can actually contribute to general economic growth and in many cases to export earnings (Arnon, 1989). Ministries of rural development tend to emphasize socioeconomic goals, while those of agriculture are more production and technology transfer oriented (UNDP, 1990). The general ministry-based agricultural extension approach is the most widely found type of extension service in Sub-Saharan Africa (FAQ, 1990; Kesseba, 1989; Moris, 1991). There is however, great variability between countries and different systems within each country. For example, in Francophone Africa, the Ministry of Agriculture often does not have major implementation responsibilities (Moris, 1991). The ministry-based approach is typically multi-purpose and multi-functional, and the extension agents are frequently the only continuing governmental presence in their service 23 area (UNDP, 1990). The staff in public extension systems tend to see themselves as civil servants rather than farmers’ advisers; typically they spend a significant amount of time on "non-extension" activities. It is partly for this reason that management systems like the World Bank-promoted Training and Visit System (T&V) have been introduced in a number of public extension systems in developing countries. To a lesser extent, public extension in Sub-Saharan Africa is organized through University-based, Commodity-based, and, Integrated approaches. Public sector extension was criticized in the 19805 for not doing enough, not doing it well, and for not being relevant (Rivera, 1991). Rivera further argues that there were at least three major responses to the criticism of public extension. First were the efforts to improve or revitalize these systems; second were the moves to privatize public extension. The third response was to encourage alternative diffusion practices. Private Sector Extension Private sector extension tends to focus on technology transfer. The UNDP (1990) classifies private sector extension into four categories: commodity, input, knowledge, and client group served. Commodity-based extension systems are usually organized through quasi-government organizations or private sector companies for an important cash or export crop. Input-supply systems are typically organized by private firms offering technical advice on the use of a specific agricultural input(s), such as pesticides, seed varieties or equipment. Knowledge systems are often provided by consultants who provide specialized technical and managerial advice and services on a fee basis. Such specialized services are generally tailored to large-scale specialized firms and individuals and do not cater for most small-scale 24 producers. Client-based systems are generally provided by private voluntary organizations (PVOs) or nongovernmental organizations (N 603). Input supply companies consider extension services as part of the backstopping and promotion activities of their enterprise (Cornelissen, 1991). Cornelissen estimates that input supply firms in Zimbabwe employ approximately 160 representatives / extension workers who generally spend 8 months a year on extension services; these firms spend a total of about 239.6 million per year on extension services". The private sector is playing an increasingly important role in agricultural research and technology transfer in developing countries and, in general spends more money on linking the two activities, than is the case in the public sector (Pray & Echeverria, 1990). Extension Organization Most government extension services are organized as territorial hierarchies, with headquarters staff in the capital city, subordinate levels at province, region or district, and a broad base of geographically dispersed field workers in the lowest sub-areas (Arnon, 1989). The conventional extension model is based on ”top-down” diffusion of technical innovations, from research or other external sources, and down through the ranks of the extension organization. Extension services in most developing countries are provided in a complex environment, making it difficult and usually inappropriate, to focus on a few specific aspects. Moris (1991) discusses the complexity of the organizational contexts of agricultural extension in developing countries. Agricultural extension can be analyzed from a policy, social, or —_ ‘Estimate includes extension services in commercial and small-scale agricultural sectors. 25 natural science perspective. For example, those who conceive of extension as technology transfer may focus on communicating information about new technology like pesticides to farmers; those who deal with community problems could emphasize issues like leadership, empowerment and participation within the community; while the natural scientist may analyze trends using a geographical or biological approach. Problems with Public Extension Systems Public extension organizations in developing countries face a variety of problems. The effects of specific problems will vary between organizations and also at different times in the development process. Common problems of public extension organizations include organizational defects and operational weaknesses, ineffective extension personnel, economic constraints, deficient linkages with other institutions involved in development and, political, cultural, social and institutional constraints (Arnon, 1989). Within the organizational and operational sphere, specific problems include (1) insufficient numbers of well-trained extension personnel, (2) extension services that emphasize the higher potential areas and well-to-do farmers, (3) lack of adequate transportation, facilities, and equipment for the extension field staff, (4) lack of career development opportunities and adequate incentives for good work, (5) poor organization and management of resources, (6) insufficient linkage between extension and research, and with other rural service agencies, and, (7) the failure of extension to reach small-scale subsistence farmers, especially women-headed farm households and young families, with appropriate technology and other effective services (FAO, 1990). 26 Many factors contribute to these problems, making it difficult to design simple strategies for strengthening public agricultural systems. The World Bank concedes that ".....evaluations of its own efiorti indicated that extension systems were poorly managed and that the technology being promoted was often irrelevant" (Cleaver, 1992). A significant number of these problems originate from within the extension organization, not from the external environment (Orie, 1982). This would indicate a need for the improvement of both administrative and technical capacity within the public agricultural extension organizations in developing countries. Evidence shows that the low professional competencies of extension agents, common in developing countries, are a key factor that limits their effectiveness. Without adequate well-trained staff members, extension organizations are limited in their ability to plan and execute sound educational programs and related technology transfer activities. The educational qualifications of extension personnel in most developing countries tend to be very low in relation to the assignments and responsibilities they are expected to carry out (FAO, 1990). The capacity of the educational institutions is limited and not well linked to extension. Recommendations after studies of the Kenyan extension system, point to "an urgent need to catalog the technical competencies needed by the extension personnel in their various work areas" (Ongondo, 1984). There is need to put more emphasis on the quality of staff rather than focus only on the quantitative issue of extension agent to farmer ratio. There is evidence to indicate that even when the agent : farmer ratio is favorable, extension workers tend to seek out a minority of better-off farmers (Moris, 1991). 27 Country Setting Zimbabwe is a land-locked country situated between the Zambezi and Limpopo rivers in southern Africa. The total land area is 389,370 square kilometers (150,333 square miles), which is about the same size as Japan or. California. The population in 1992 was estimated at 10.4 million, with an annual growth rate of 3.1% (Daily Gazette, 1992). By developing country standards, Zimbabwe has a well diversified economy with advanced industrial and monetary sectors. With an estimated per capita income of US $670 in 1989, it is classified as a lower-middle income country (World Bank, 1992). The country has a markedly dualistic economy with a strong, modern sector that produces most of the consumer goods found in industrialized countries accompanied by massive urban unemployment (Muir, 1991). The annual inflation rate averaged about 15% per annum in the 1980-90 decade. Agriculture Zimbabwe is divided into five natural regions on the basis of soil type, rainfall and other climatic factors. The first three regions are suitable for intensive crop and livestock production whereas the remaining two offer limited scope for agricultural development (C80, 1985). Agriculture is divided into three main sub-sectors, large-scale commercial, small-scale commercial, and, communal and resettlement. Large-scale commercial farms occupy most of the intensive farming regions, while the communal and resettlement are located in semi-intensive and extensive farming regions. Commercial famtland is privately owned, while communal and resettlement land is farmed under a traditional tenure system. 28 At least 60% of the national population resides on communal and resettlement land under traditional tenure rights. The division of Zimbabwe’s farmland, summarized in Table 1, is estimated as 58% communal (including resettlement areas), 38% large-scale commercial, and 4% small-scale commercial (former Purchase Areas). Land distribution per person is highly skewed in favor of large-scale commercial farming. Land resettlement and policy issues are possibly the most central critical issue in the agricultural sector. For example, there are proposals for the resettlement of 110,000 families on about 5 million hectares currently in the large-scale commercial sector, and also the possibility of a higher land tax 1 for under-utilized land to bring more land onto the market (Zimbabwe Government, 1991). Table 1: Zimbabwe - Land Use Categories Sector Total area % of total % of Families (million ha) area arable land Non-agricultural 5.84 15.0 - - Large-scale commercial 12.65 32.5 38.3 4300 Small-scale commercial 1.42 3.7 4.3 8530 Communal & Resettlement 18.99 48.8 57.5 900,120 TOTAL 38.90 100 100 912,950 Sources: Central Statistical Office, 1985; Agritex, 1990. 29 Since independence in 1980, the volume of agricultural production has been increasing at an erratic pace, with an average annual growth rate of 4.5% between 1979 and 1985 (Zimbabwe Government, 1986). Agriculture is a priority sector of government policy, with the small-scale farming sub-sector identified as a key area of focus. This policy is aimed at redressing imbalances resulting from thecountry’s pre-independence, colonial era. The agricultural sector is coordinated by the Ministry of Lands, Agriculture and Water Development (MLAWD). Through its departments and parastatals (quasi-government corporations), the ministry is responsible for the entire array of agricultural activities (Zimbabwe Government, 1986). The budget for the ministry averaged 6.2% of the national budget for the period 1985-927. Extension The dominant agricultural extension system in Zimbabwe can be classified as a general, ministry-based approach. There are a number of other extension systems, such as the commodity-centered system for tobacco, private sector extension centered on agricultural inputs, and, many relatively small nongovernmental organizations (NGOs) using a variety of extension approaches. The different systems are mainly a result of political and economic factors, and the diverse nature of the agricultural sector in agro-ecological potential, clientele character and production systems. The major agricultural extension organization is the Department of Agricultural, Technical and Extension Services (Agritex), based in the MLAWD. Agritex’s main objective 7Calculated from data in World Bank Agriculture Sector Memorandum, May 1991. 30 is the implementation of government agricultural policy through the provision of technical and extension services. Agritex (1990) states its official mandate as: To assist in the implementation of the policy of government in relation to the development of the agricultural industry of the country, taking into consideration the rural development essential for successful, productive and stable agriculture. Increase the productivity of agriculture with special emphasis on the communal, resettlement, cooperatives, small-scale farmer and large scale farmers in that priority order. \ Stimulate the adoption of appropriate proven agricultural conservation and management practices leading to increased, sustained and profitable production. Promote the development of people on the land, thus improving the standard of living and the quality of life. (a 3) Its target clientele, in order of priority, are: communal and resettlement area farmers, small-scale commercial area farmers, and large-scale commercial area farmers (Agritex, 1990). Before independence in 1980, two separate extension systems served the communal and commercial farmers, respectively. Agritex is a relatively new organization, 7 created in 1981 after the merger of the two extension departmentss. Although Agritex is the only government department with a widespread representation at grass roots level, it covers only about 60% of communal area farmers (Cornelissen, 1991). Like other departments in the public sector, Agritex has undergone many substantial policy changes since 1980. There has been a shift away from the coercive and prescriptive approach that was typical of the colonial era. —_ 8Agritex was created through the amalgamation of the Dept. of Conversation and Extension (CONEX) within the former Ministry of Agriculture, the Dept. of Agricultural Development (DEVAG) within the former Ministry of Lands, Natural Resources and Rural Development. Under the previous structure, CONEX was responsible for providing technical and extension services to commercial and former African Purchase Land farmers, while DEVAG provided those services in the former Tribal Trust Lands. 31 Agritex obtains most of its funding from government budgetary allocations. For the period 1981-92, Agritex budget allocations were approximately 0.6% and 11% of the national and MLAWD budgets, respectively. In the 1990-91 fiscal year, about 80% of the departmental budget was spent on personnel costs; 65-70% is considered as a workable maximum percentage to ensure sufficient funds for extension activities (Cornelissen, 1991). Agritex is headed by a director, assisted by three deputy directors, each responsible for a division. These divisions are Technical, Field and Irrigation services (Appendix 2). The technical services division is made up of six specialist branches: crop production, livestock production, planning, training, agricultural engineering, and agricultural management services. It serves as the main link between agricultural research and the field extension services. The field services division is mainly engaged in communication of extension messages to farmers. It is also tasked with liaising with other government and non-government organizations in the agricultural sector. The irrigation division is relatively new, created in 1985, specifically to address, the issue of stabilizing production in low rainfall areas (Zimbabwe Government, 1986). The department employs approximately 2,500 field technical and extension personnel Human resources in Agritex are decentralized with over 90% of the field stafi stationed at provincial or district offices. Most the field staff are frontline extension workers and supervisors, who reside within the small-scale farmers’ community. At the officer level, the staff is divided into administrative and technical. The administrative staff, like regional and agricultural officers are responsible for the day-to-day management activities while technical staff are more engaged in advising and training within their respective specialist areas. With an extension worker to farmer ratio of 1 to 485, Zimbabwe has a higher intensity of 32 extension coverage than the 1 to 1,809 average for Sub-Saharan Africa9 (Ashworth, 1990; FAO, 1990). Female field extension agents comprise about 10% of the total field staff, which is slightly higher than the average for Sub«Saharan Africa of 7% (Appendix 2; FAQ, 1990). The breakdown of Agritex staff in the technical and field divisions by their official ranks, is shown in Table 2. , In 1983 the government obtained a World Bank/IFAD loan to strengthen agricultural research and extension (World Bank, 1983). Agritex experimented with the World Bank-promoted Training and Visit System (T&V) during the early 1980s. After assessment of the impact of the T&V system in. the two districts (Shurugwi and Chiwundura) in which the system was tried, the department does not intend to adopt the major components of the system”. Pazvakavambwa (in press) summarizes the main concerns with the pilot T&V as: The Training & Visit system of extension is more suitable in the case where extension staff are not previously trained in agriculture. The system is too rigid in approach and lacks the flexibility to make it more relevant to the needs and environment of the small scale farmer. The system is too mechanical in its implementation and does not allow for multiple diversity in cropping enterprise as is characteristic of the small farmers. Training and Visit is heavy on resources, some of which are extremely limiting e.g. transport. Although Zimbabwe has a good network of rural roads, the provision of adequate transport facilities for the extension service is still to be achieved. Pazvakavambwa concludes that the pilot T&V system had limited success and needs to be modified to suit clientele needs by injecting sufficient flexibility to match available resources. 9Ratio for Zimbabwe includes extension supervisors. 1"J. Makadho, Agritex Director, personal communication, October, 1992. 33 Table 2: Agritex - Technical and Extension Personnel11 Rank Number % Director ‘ 1 2 Assistant Directors (Field, Technical & Ag. Engineering) 3 Chief Agricultural Extension Officers 9 Chief Agricultural Specialists 8 Principal Agricultural Extension Officers 2 ‘ 16 Principal Agricultural Specialists 8 District Agricultural Extension Officers 49 2 Subject Matter Specialists 164 6.5 Agricultural Extension Officers 211 8 Agricultural Extension Supervisors 322 13 Technicians , 29 Research Assistants 10 1'5 :gricultural Extension Workers 1 679 67 TOTAL 2 509 100 nSource: Hakutangwi, 1992; staff numbers exclude the engineering division and administrative section. 34 Pesticide Use Pesticide use is regulated mostly by the Plant Protection Research Institute (PPRI) which is a branch of the Department of Research and Specialist Services (DR&SS) in the MLAWD. All pesticides offered for sale and distribution, except for veterinary remedies, fall under the Pesticides Regulations of the Fertilizer, Farm Feeds and Remedies Parliamentary Act of 1977. The Hazardous Substances and Articles Regulations of 1985 specify the policies for the safe use of pesticides. The official purpose of registration is to ensure the least hazardous and most efficient use for all sectors of the community (Allcock & Leece, 1980). The agro-chemical industry has about 14 companies, of which 6 are subsidiaries of international corporations. The Agricultural Chemicals Industry Association (ACIA) represents the interests of pesticide companies. All pesticides for agricultural use require a license from the DR&SS before their release onto the market. Efficacy evaluation of new pesticides is a prerequisite for licensing. Efficacy evaluation is conducted by several organizations including the PPRI, the Cotton Research Institute, the Department of Veterinary Services, the University of Zimbabwe, the Tobacco Research Board, and pesticide companies. There are over 450 registered pesticides in the country and it is estimated that the country uses pesticides worth Z$250 million per annum (Financial Gazette, 1992). Eighty percent of the pesticides are used directly in agriculture (FAO, 1991). Small-scale farmers account for only about 5% of pesticide sales; the bulk of the pesticides are used in the large- scale commercial sector and state farms. Only one pesticide, copper oxychloride, is wholly manufactured in the country; the active ingredients for the rest of the pesticides are imported, using scarce foreign exchange, and only the formulation takes place locally. 35 «ONES mouoooel Eons \Aue .cEeoTeoz 5039.3: \BcoEwNEoucO 5996 croouxm ‘geaoaezooh ¥EO>>w§F R = Research, F = Farmers, E = Extension. Figure 2: Conceptual Framework of Agricultural Knowledge Systems 41 Pesticide use information is required by a variety of users for decision-making in pest management. The decision-makers can be divided into four main categories: farmers, extension services, legislation and regulation services, and the private sector. Figure 3 illustrates the main categories and institutions requiring pesticide use information for the small-scale agricultural sector in Zimbabwe. SMALL-SCALE FARMERS ‘ REGULATORY SERVICES (Communal & Resettlement) (PPRI, DCC & HSB) "‘ Cost-effective control " Monitoring " Marketing and technical information " Regulation ‘ Legislation EXTENSION SERVICES PRIVATE SECTOR (Agritex, Company reps & others) (Pesticide companies) " Advisory service “ Manufacturing ‘ Education " Marketing * Monitoring * Research Figure 3: Categories of Decision-makers in Pest Management in Zimbabwe 42 Each category can be further sub—divided in terms of their specific requirements: why they need the information, what kind of information they need, how it should be managed and distributed, and how best to ensure that it is cost-effective and focused on practical decision-making (Putter & Van der Graaff, 1989). For information gaps to be reduced, it is necessary first, to identify the information needs of users. Farmer Pesticide Use Information Needs and Sources In the forefront of pest management is the farmer, who is supported by state institutions and the private sector. While there is now substantial literature on the need for farmer involvement, Roling argues that understanding the need for farmer participation is often clouded by the metaphors used to describe the process by which technology is developed and delivered: Farmers tend to be seen as passive recipients - users of technology developed by other people. At best, it is acknowledged that some feedback on farmers’ reactions to a new technology is desirable in order to refine that technology, but this is likely to be regarded as a need for mere fine-tuning Roling, 1989. About 15% of the estimated 900,000 families in the communal and resettlement areas use chemicals or pesticides for pest and disease control on their crops. Use of pesticides and other inputs is greater in the higher potential agro-ecological zones (Chipika, 1990). Most of the pesticide use is on maize and cotton where 85% and 50% of the small- scale farmers growing these respective crops in 1989 applied pesticides (Sunga et al., 1990). The most common pesticide for maize pests is Thiodan (endosulfan), which is used for \ controlling stalkborer, M M. At' 3%, herbicide use has had one of the lowest 43 adoption rates; most small-scale farmers continue to practice hand weeding using family or hired labor (Chipika, 1990). A survey of communal farmers in Makonde district estimated that 70% of the respondents needed instruction in the use of agro-chemicals (Mutuma et al., 1987). Technical information on pesticide use in small-scale farming areas is limited, and, generally unreliable. Research on the relationship between farmer awareness of specific technologies and . agricultural productivity is limited. Studies by Govereh (1991) on the impact of technology adoption in marginal rainfall areas of Zimbabwe showed a positive relationship between farmer awareness of recommended technologies and maize yields. Awareness and use of recommended technologies contributed for about 15.3% of the variation in maize yields (Govereh, 1991). Studies of small-scale farmers in Transkei showed significant positive correlations between total crop yield and three communication factors: extension contact, group media contact and mass media contact (Brembridge, 1986). An economic study of cotton farmers in Tanzania concluded that there is a positive correlation between knowledge of cotton-growing recommendations and technical efficiency but no significant correlation between technical efficiency and seeking agricultural information (Shapiro & Muller, 1977). In a survey of the Training and Visit (T&V) Project in Shurugwi and Chiwundura districts of the Midlands province in Zimbabwe, 12.5% of farmers in the T&V groups attributed lack of knowledge about pest control and pesticide use as the main reason for not using pesticides (Agritex, 1992). The proportion was higher (25.8%) for farmers who were not in T&V groups. Errors in farmer’s estimates of the productivity of pesticides result from uncertainty about the levels and effects of pest populations, or, uncertainty about the effectiveness of pest control. Pingali and Carlson (1985) modelled behavior in a sample of apple farmers 44 in North Carolina (U.S.A.) in an uncertain environment, and identified the human capital variables with the largest effect in reducing subjective errors as farmer experience (age), formal schooling, data collection time (scouting), and, attendance at specialized extension training sessions. Many communication channels can be used to provide links between farmers and the external sources of information. Choice of the most appropriate channel will depend on farmers’ access and their ability to use the channel. Illiteracy is a common problem limiting the information channels farmers can use. In developing technical information for farmers, emphasis needs to be placed on unambiguous design and on tailoring the content for particular target groups (Hoeng, 1989). Sophisticated pest management techniques like integrated pest management (IPM) are relatively more knowledge-intensive. Studies by Hanneman and Farnsworth (1981) on crop input use decisions, found information to be the major determinant in the decision to adopt IPM for cotton farmers in California. Adoption of IPM in less developed regions also could be facilitated by improving the flow of information to farmers. Thomas et al. (1990) propose an adoption—agrisystem model using diffusion theory and aspects of farming systems theory. Using this model they found significant relationships between sources of information, personal and farm characteristics, and beliefs about IPM amongst Texas cotton growers. 45 Agritex Pesticide Use Information Needs and Sources Contact between Agritex extension agents and communal area farmers varies. A 1990 nationwide survey by the Zimbabwe Institute of Development Studies (ZIDS) reports that less than half of communal area farmers have some contact with extension (ZIDS, 1990). A 1982 study of four districts however showed a higher level of contact (55%) between communal farmers and Agritex extension workers (Bratton, 1986)”. Bratton noted that membership in farmer organizations was the major factor explaining differences in the level of contact; 86% for group members compared to 31% for individual farmers. There is limited empirical research on the content and appropriateness of extension messages to communal farmers. Historically, the tendency within Agritex has been to import, wholesale, the recommendations for the resource-endowed commercial sector. Studies by Agritex (1985), Ashworth (1990) and Govereh (1991) indicate that the extension advice given to small-scale farmers is biased toward better-off farmers in the more productive agro-ecological zones. Most of the extension workers’ advice to farmers is given for management practices that occur early in the agricultural season (Agritex, 1983). Relatively less attention is given to mid- and late-season practices like weeding, pest control and harvesting. Results from an Agritex/Cilca Project in Wedza found that 62.7% of the farmers surveyed considered extension worker advice as inappropriate especially with regard to labor and financial requirements (Agritex, 1985). There is evidence showing that overall, Agritex extension efforts have a positive influence on communal farmer productivity; there is also evidence 12Guruve, Wedza, Gum and Dande districts. 46 that some of the recommendations are not sensitive to the diverse agricultural production patterns and resource endowments of small-scale farmers. Field extension agents require a great variety of pesticide use information to meet the technical needs of farmers. Information is needed on: (3) symptoms of pest attack, (b) field diagnosis of pests, (c) life cycles of pests, . (d) pest frequency, (e) pest movement between countries and regions, (f) survey methods, (g) data collection and processing, (h) safe and efficient pesticide use, and, (i) pesticides application methods. The potential farmer demand for information on pest management is therefore very high. It is not likely that an individual extension agent will have adequate and first-hand information on all the aspects of pests and pest management. Field extension agents are therefore likely to require support from their colleagues, technical experts and other sources to meet their information requirements. With specialization and diversification, the information needs of Agritex will increase. Cornelissen (1991) contends that Agritex will not be able to expand horizontally (number of activities) and vertically (level of sophistication) sufficiently to cope with the increasing information requirements. This increasing inability might affect Agritex’s credibility. Ashworth (1990) expresses concern with respect to the content of a variety of extension messages delivered by Agritex, indicating that the credibility of extension is at risk when communal area farmers view many recommendations as inappropriate. Agritex extension agents are frequently the only links between the rural community and outside organizations. They tend to be involved in "non-extension” activities like organizing the supply of agricultural chemicals on behalf of farmers. Agritex extension agents are involved in facilitating farmer "Supply Marketing Groups" as part of their work activities. In 1990, a total of 175 supply marketing group meetings were organized by 47 Agritex field staff; 36 of these meetings were in Mashonaland Central province13 (Agritex, 1990). Such meetings reduce the time available for educational activities on input use between extension agents and their clients. Where production and distribution facilities are inadequate, technology transfer agents tend to concentrate more on input delivery than on information dissemination, which inevitably weakens the research-technology links (Merrill- Sands & Kairnowitz, 1989). Private Sector Pesticide Use Information Needs and Sources The pesticide industry in Zimbabwe has about 14 companies that are affiliated to the Agricultural Chemicals Industry Association (ACIA). The primary need for technical information by pesticide companies is to secure local registration for their products, which is a prerequisite for distribution and sale. To meet this end, companies require information from the developers and manufacturers of the pesticide, and also data on the product’s efficacy. Private sector extension activities vary widely and tend to be closely aligned with marketing activities. Private sector input and extension services are biased toward the larger and more commercially-oriented farmers. Since information has a value and can be marketed (the price is determined by the merits of the information to the user), the knowledge generated by the private sector will not always be diffused or made a public good (Cornelissen, 1991). After meeting the requirements for pesticide registration, commercial firms are under no legal obligation to provide more technical information on their product, except that “— 13No figures were reported for Midlands province. 48 on the product label. In general, very little technical information is provided by marketing companies to Agritex extension agents and small-scale farmers; companies tend to provide advertising or other marketing information to support product sales. PPRI Pesticide Use Information Needs and Sources The Plant Protection Research Institute (PPRI), a branch of the Department of Research and Specialist Services (DR&SS) in the MLAWD, is the major legislation and regulation organization for pesticide use in Zimbabwe. The Drug Control Council (DCC) in the Ministry of Health and Child Care regulates the use of veterinary remedies like cattle and dog dips that are also used by farmers. The main requirements for pesticide registration are: (a) Phytotoxicity data, short and long-term toxicological information for the specific pesticide, (b) Registration of the pesticide in the manufacturer’s country of origin, (c) Local evaluation of the new pesticide for efficacy; were possible a pesticide registered for similar pests is used for comparison in the evaluation trials, and, (d) Registration of the applicant(s) as a commercial company in Zimbabwe. Allcock & Leece, 1980; Dzemwa & Muchenal4 A substantial amount of technical information, especially on efficacy against local pests, is generated through local evaluation of new pesticides. The information generated is however more applicable to large-scale commercial farms and research stations, where 1“Ms Dzemwa, Pesticide Registration Ofl‘icer & Dr. Muchena, former head of the Plant Protection Research Institute, DR&SS, personal communication, October, 1992. 49 most evaluation and registration trials are conducted. No pesticide registration trials are conducted in small-scale farming areas although representatives of pesticide companies occasionally put in demonstration trials in communal areas. The enforcement of pesticide legislation is a general problem throughout the southern Africa sub-region (FAO, 1991). The Pesticides Regulations in the Fertilizer, Farm Feeds and Remedies Act of 1977 are the basis for public policy and strategy decisions regarding pesticide use in Zimbabwe. This legislation was formulated before the initiation of the Economic Structural Adjustment Program (ESAP), which recommends the gradual deregulation of most imports. There are some "loopholes" in the current legislation on pesticide use. Inadequacies in the current pesticide policies include: (1) Lack of a clear policy governing the importation of pesticides by individual users, especially in view of the recently introduced open general import license (OGIL), and, (2) There is no legal requirement for a minimum level of competence for both users (farmers and other applicators) and technical advisers (for example extension agents and representatiVes of commercial companies). Post-registration activities are necessary to ensure the effectiveness of a registration scheme. The FAO (1991) lists such activities as including: monitoring the quality of pesticides in the market, determination of residue levels on food crops, evaluation of compliance to labelling requirements, environmental effects, enforcement of regulations, training programs on safe use of pesticides, licensing of various activities pertaining to pesticides, disposal of unwanted pesticides, and control of advertisements. The PPRI is 50 involved in very limited post-registration activities, and has generally depended on the goodwill of pesticide companies for compliance with the regulations. In summary, the issue of the most appropriate source of information for small-scale farmers is complex and therefore debatable. Cornelissen (1991) argues that neither the public sector nor the private sector will provide farmers with unbiased information. The public sector tends to be influenced by national priorities and goals, and by its bureaucratic agenda. Private sector information is usually tied to the sale of a product, limited to specific commodities, or to religious and / or political objectives (common in NGOs). For this study, the researcher decided it would not be feasible to collect adequate information directly from all four categories of decision-makers; primary data collection was limited to ranking currently used, and preferred sources of information sources from selected Agritex extension agents. Information Channels Channel or media choice involves more than simple common sense; it is a complex process that is influenced by the interplay of messages, symbols and contextual influence (Trevino et al., 1990). The main channel for public sector dissemination of agricultural knowledge is usually the extension service (Feder & Slade, 1985). Common channels used for transmitting pesticide information to farmers include: (a) mass media, such as radio, television, newspaper, and leaflets from government and commercial sources, (b) personal contact with extension agents, dealers, stockists and representatives of commercial firms, either on an individual basis or in groups, and, 51 (c) personal contact with other farmers. The capacity of a medium to facilitate communication is called media richness (Trevino et al., 1990). Media richness can be classified based on a blend of four criteria: 1. The availability of m’ stant feedback, making it possible for communicators to converge quickly upon a common interpretation or understanding. 2. The capacity of the medium to transmit W such as body language, voice tone, and inflection, to convey interpretations. 3. The use of W rather than numbers, to convey subtleties. 4. The W of the medium. Trevino et al., 1990. To assess the role of various channels of information diffusion, it is necessary to review farmers’ ranking of information sources for that particular technology. Because the main characteristic of new technology is the lack of familiarity by farmers, public involvement through the utilization of agricultural extension and mass media is an obvious policy tool (Feder & Slade, 1985). Studies conducted in the 1950s and 1960s to evaluate different types of media in agriculture concluded that no one medium is best, but the selected medium must be adapted to the message, target audience, and social environment (Wete, 1991). There is general agreement in the literature that media should be used as a complement to personal contact with front line extension staff (Schwartz, 1991). Face-to- face communication is considered as the richest media or channel for transmitting messages (Figure 4). 52 MEDIA RICHNESS MEDIUM A HIGH Face-to-face Telephone Letters Memos Special reports Newspapers Technical bulletins Technical journals LOW Adapted from Trevino et al. (1990) Figure 4: Hierarchy of Media Richness Use of face-to-face communication in agriculture is limited because of the relative dispersion of researchers, extension agents and farmers, which make it very inefficient and at times impractical, for transmitting technical messages. Studies by Feder & Slade in Northwest India indicate that the more available extension agents are, the more likely they are to be the main source of technical information. Irrespective of the availability of extension, the more complex or risky practices have a higher tendency to be learned from extension. This implies that for complex practices, extension agents should try to maximize their direct interaction with farmers, while simpler practices can be diffused through contact farmers (Feder & Slade, 1985). 53 Because of the limitations of face-to-face communication in field extension, mass media has an important role to play in supporting extension activities. Participants at a World Bank African extension specialists’ workshop agreed that: (a) mass media is very effective in creating awareness and farmers can always approach the extension agent for details, . (b) media, such as radio, can efficiently reinforce the convictions of farmers that new technologies are worthwhile, (c) an environment for adoptiOn can be promoted through mass media, (d) mass media can be a morale-booster for the farmers, when the extension recommendations confirm what the farmers themselves have been doing, and, (e) mass media provides the quickest way of reaching a large number of farmers in a very short time and would therefore be very useful in times of emergencies, such as a large-scale pest attack. Venkatesan & Schwartz, 1992.(p. 59). Communication devices such as publications, audio-visual materials, radio programs, training courses and seminars can be used to disseminate information in a variety of. situations. They require careful planning, adequate funding, and strong commitment; in many cases they require specific skills and creative talents (Merrill-Sands & Kaimowitz, 1989). Information about relatively simple technologies, such as seed varieties, can often be disseminated through informal channels since they generally do not entail major changes in the production system. More complex technologies require formal links, such as training technology transfer agents and producing detailed information materials. Such technologies may therefore require a larger direct role from extension agents (Bindlish & Evenson, 1993). 54 Mass Media Channels In SubSaharan countries, mass media channels are generally controlled by government and managed by ministries or departments other than those of agriculture. Radio is the oldest communication technology used for the transfer of agricultural information, and also the most diversified and widely accessible of all modern mass media (Wete, 1991). It is the most common mass media vehicle in many African countries. Radio has a relatively low cost, high potential reach and the capacity to transcend literacy and language barriers. In Zimbabwe, the stateocontrolled Zimbabwe Broadcasting Corporation (ZBC) has an exclusive educational channel, Radio Four, which occasionally broadcasts agricultural programs. Agritex beams regular radio programs on various topics aimed at communal farmers. A survey of farmers in Makonde district found that 37.5% had access to a radio; 34% of the farmers with access found the programs educative, informative and useful (Mutuma, et al. 1987). Sixty-six percent of the respondents felt that the radio programs were not worthwhile due to scheduling constraints, and lack of access to a radio or to the resources advised in the programs. Although radio can be an effective tool for communication with field staff and farmers, it is for the most part one-way. Since most of the target audience is generally unavailable during normal working hours, there may be scheduling constraints and competition from the usual entertainments channels or programs. Though Agritex has promoted radio listening groups, the existence of information / communication systems becomes practically negligible in the more remote communal area regions (Moyo & Page, 1992). 55 Television, like radio, is useful for one-way transmission of messages. It has the added advantage of providing visual images that enhance the quality of the message. Television’s main limitation is cost, which severely limits coverage for rural communities. There are relatively few examples of the successful application of television in agricultural information transfer (Wete, 1991). Wete concludes that until cost-effective solutions to production, distribution and maintenance problems are found, television will remain an elitist medium favoring wealthier consumers and urban over rural areas. Within the Agritex Training Branch there is a Mobile Training Unit (MTU), which uses audio-visual aids for farmer training. To make the program content appropriate for specific areas, the actual production of video tapes is decentralized; this approach requires training staff all over the country in the use of equipment and has led to some problems with equipment maintenance (Schwartz, 1991). Evaluations of the programs of the MTU indicate that the visits by the unit are too infrequent for tangible results, and that the conditions in which farmers are shown the audio-visual aids are not conducive to learning (Gwekwerere, 1991). The emergence of new forms of electronic media like TV, audio and video cassettes, has led to the neglect of the potential role of print media in information transfer. Print media has a distinct cost advantage over electronic media. It is less subject to scheduling constraints and the messages in print can usually be retrieved for future use. The usefulness of print media is subject to the level of literacy of the audience. Illiteracy of the audience reduces the potential for print media to diagrams and pictorial forms. There is an inadequate empirical base on the subject of agricultural information sources and channels for small-scale farmers in Zimbabwe. Much of the focus has been on generating new knowledge with little regard for how, and if, the knowledge is transmitted. This study used self-appraisal to identify the sources and channels available to extension 56 agents for pesticide use information, and, also to rank these and other preferred modes of information transfer. Technical Competence Competence is commonly determined by a person’s being able to perform a given task. It implies an understanding of, and proficiency in, a specific kind of activity, particularly one involving methods, processes, procedures or techniques. Task performance provides an indication of the required competencies, but does not define the competencies directly. There are many ways of defining competence. The most popular and dangerous technique for defining competence is to accept the judgement of experts, as happens in expert consensus (Pottinger, 1979). Selective perception, beliefs and value systems contaminate objectivity. Colley (1989) defines competence as ”skills developed through learned knowledge that will be applied in a practical and meaningful way.” Klemp (1980) defines job competency as an underlying characteristic of a person which results in effective and/or superior performance in a job. An underlying characteristic, in a sense, may be knowledge, skill, trait, self-schema or motive which a person may possess. Klemp (1979) defines these underlying characteristics as: Ell-QM is a set of usable information organized around a specific content area, for example, knowledge of mathematics. Skill is the ability to demonstrate a set of related behaviors or processes, like logical thinking. W is a person’s image of himself or herself, and his or her evaluation of that image, for example self image as a professional. 57 M9112: is a recurrent concern for a goal state or condition which drives, selects, and directs behavior of the individual, for example the need for efficacy. . (p. 43) These underlying characteristics are referenced to an external performance criteria. The idea that a competence is causally related to. effective performance means that the development of competency should lead to increased effectiveness. Therefore competence precedes performance. Academic and other professional credentials are the major criteria for the recruitment of public extension agents. In spite of significant empirical evidence that credentials are not causally related to, and often not even correlated with performance in the world of work, the common sense notion that an academic credential represents at least a minimal level of competence is hard to overcome (Pottinger, 1979). The method by which a competency is measured becomes the Operational definition of that competency. For example, an operational definition of competence might be the score obtained on an assessment instrument. According to Pottinger (1979) it is necessary to differentiate measuring techniques according to two separate but important dimensions to predict who will be competent performers. First, it is necessary to differentiate techniques which identify critical dimensions of the job from those that identify critical characteristics of job performers. Second, one must differentiate techniques that identify critical job or performer characteristics that are task, situation, or level specific from those which identify critical job or performer characteristics that are broad or generalizable across job situations and widely varied career performance levels. There have been some studies conducted to evaluate the competence of extension agents in public extension systems in deveIOping countries. Most studies are centered on 58 perceptions and/or ranking of a variety of broad job or performer characteristics that are related to performance. Using a list of 150 competencies divided into nine categories, a case study of public extension agents in Swaziland found no differences in the perceptions of the professional extension competency categories when examined by the individual’s demographic characteristics (Easter, 1985). In Nigeria, Ayewon (1983) surveyed public extension agents in Bendel State to assess the needed competencies using perceptions to 61 professional competency statements. Respondents indicated that 98.4% of the competency statements were highly needed, and that they should be learned on the job or through in- service training. In a survey in Uganda, extension agents, supervisors and trainers considered 31 competencies as important, with the competency "Iatowing sources of desired technical infomration, " ranked as the most important; few significant relationships were found between the professional competencies and the respondents’ demographic characteristics (McCaslin & Najjingo, 1991). The researchers concluded that the needs for professional competencies were independent of the type of extension worker in the region. Skill areas Nigerian extension agents indicated most competency, were not necessarily the most important to them; in other words there, there was no perfect match or convergence between skills and competencies presented and the importance of such skill areas for extension work (Igodan et al., 1990). 59 Factors Influencing Performance Job perfonnance is the single most pervasive outcome van'able in micro-organizational research. Slaw, I984. Waldman and Spangler (1989) provide a comprehensive review of the theory and research of the determinants of job performance. They note that job performance has been researched from different subject areas like abilities, motivation, leadership, group processes and feedback, with little attempt to piece together these subject areas together into an overall model. They propose an integrated model of job performance with three areas: ability, motivation and opportunity”. Zuidema (1989) suggests a simpler framework, consisting of five categories of factors that influence performance: 1. Eggnsipp agent attrjbptg - these include the personal characteristics and traits that contribute to the behaviors and attitudes of the agent; many civil service appraisal systems focus on these characteristics and traits. 2. WM - these include the technical knowledge and skills resulting from education and experience, and, the professional skills achieved through training and experience. 3. WW — these are personnel policies (including remuneration) that influence motivation, and, organizational procedures that set the conditions for the work environment; they can have significant influence on extension agent performance. 4. Management and support services - this includes the level of financial support for important inputs for extension activities. 5. floggam opportunities and activities - the mandates and defined programs of the extension organization set the limits for extension agents and form the basis for allocation of resources. 1S’Opportunity variables are factors in the individual’s work environment such as tools & mformation, work conditions, leadership behavior, and, rules & procedures. 60 Figure 5 illustrates the components of extension agent performance assessment and demonstrates the relationship of these five factors to the results and impact of extension efforts. The inputs are the extension agents (personal attributes, knowledge, and skills), organizational policies and procedures, and, management and support services. These inputs are applied to the processes that correspond to the program activities of extension agents. The activities result in outputs and eventually outcomes. Performance assessments can, and often do, take account of all these components (Zuidema, 1989). 61 Extension Agents *Personal characteristics *Knovledge & skills Program Organizational Policies and Procedures Activities of Results Iurpact Extension Management and Support Services INPUTS PROCESSES OUTPUT ' ourcoua Adapted from Zuidema, 1989. ' Figure 5: Components of Extension Agent Performance Assessment 62 There is a need for more job performance research in the extension institutions of developing countries. As suggested by Waldman and Spangler (1989), research should include causal modelling with an appropriate mix of antecedent variables, longitudinal studies to assess the effects of interventions, and, investigations of the causal differences between various aspects of performance. This study was limited to assessing abilities and the interactions between antecedent variables and abilities in one specific performance area. For this study, variation in extension agent competence regarding pesticide use (Y) was conceived as dependent on three general independent variables: demographic characteristics (X1), training (X2), and access to information sources and channels (X3). Each general variable was composed of a set of specific variables identified in the literature review or judged to be potentially influential to the competence variable. Therefore: Extension agent competency, Y = f { X1, X2, X3 } The extension agents’ age, gender, formal qualifications (academic and agricultural), position in the organization and length of experience were included in the demographic variable set. The training variable set included both pre- and in-service formal training in pest management. The information variable set consisted of items measuring the level and frequency of contact between extension agents and various sources and channels of pesticide use information. 63 Extension Agent Technical Support Needs Training Extension staff training is coordinated by. the Training Branch in Agritex. Almost all of the department’s funding for training comes from government budgetary allocations. For the period 1982 to 1987, only about 4% of the Agritex budget was allocated for training, field trials and irrigation (Table 3). During the same period, over 70% of the government budget allocation was used for staff salaries, wages and allowances. Table 3: Agritex - Budget Allocations and Expenditure (1982-87)a 82/83 83/84 84/85 85/86 86/87 Government Sources 14,642 17,302 19,988 23,406 27,724 External Sources 149 344 2,064 3,895 " Salaries, Wages, Allowances 11,559 12,860 15,150 17,857 21,404 Subsistence and Transpbrt 2,000 3,000 3,473 4,037 4,367 Incidental Expenses 360 400 380 385 425 Training, field trials, Irrigation 600 867 748 854 1,250 Land use Planning 25 25 41 50 75 Farm Running Expenses 18 30 49 57 63 Buildings & equipment 130 120 147 165 140 Source: Ndimande, 1988. a - ZS ’000 " - figures not available 64 Most extension agents participate in at least one Agritex course every year. During the period 1981-91, the Training Branch offered 28 different types of in-service courses with a total of 3,895 participants (Cornelissen, 1991). The average duration of Agritex courses is 4 days (Agritex, 1990). The Training Branch also produces an in-house magazine, "News and Views.” There are very few documented studies evaluating the quality of Agritex staff training in the department. While the services provided by Agritex expanded tremendously during the 1980’s, particularly in the small-holder sector, the quality of service has been steadily deteriorating and coverage has been inadequate mainly as a result of underfinancing of the department’s operational budget (Cornelissen, 1991). The services have also suffered from high staff turnover caused by the unattractive conditions of service prevailing in the civil service (Cornelissen, 1991). Pazvakavambwa (1991) claims that Agritex has a very strong in-service training branch which ".....has almost dispensed of the need to follow the Training and Visit guidelines. " The technical support needs of extension agents depend on the tasks they are to perform, their basic training, and their ability to upgrade and update knowledge and skills on the job. The basic training for extension workers in Agritex is a two or three-year agricultural certificate or diploma. There is evidence indicating that extension agents often receive adequate technical training, but with minimum preparation in communication skills and extension methodology (Lindley & Gonzalez, 1983). Hakutangwi (1990) contends that basic training at certificate, diploma and graduate levels is inadequate in preparing personnel for extension, and that there is a limit to which in-service training can correct the inadequacies of basic training. There may therefore be a gap between the curriculum in agricultural training institutions and the knowledge and skills required of extension agents. 65 For example, this gap is reflected by the lack of a full course in agricultural extension in the certificate and diploma level agricultural institutions (Dengu, 1988). Further, there is no comprehensive course in crop protection in the current curricula for the agricultural certificate course. Hakutangwi (1990) concludes that the need for more formal links between Agritex and the agricultural training institutions is critical. At the pre-service level, training must emphasize extension methodology, communication skills, understanding human behavior and the development of a clear philosophical approach to the principles of extension (Lindley & Gonzalez, 1983). A study by Brooks (1982) of the in-service training needs of county extension agents in Florida concluded that, overall, a greater degree of competence perception was found associated with greater number of years employed. However, a greater degree of competence perception was associated with least man/ days of training annually. Research in Sierra Leone refutes the importance of formal training alone in job performance. Using a Job- Design, Satisfaction, and Performance (DSP) Model to evaluate village extension workers (VEWs) in India, Lakoh (1988) concludes: More technical training in agriculture and high social status did not relate positively with job satisfaction. Similarly, a high level of formal training in agriculture does not necessarily mean that job performance is also high. The findings show that VEWs with a more formal training in agriculture and high social status are less likely to make frequent visits to farmers. Those who are well-versed with local dialects and well-skilled in establishing interpersonal relations perform well in their job. They are likely to make more frequent contacts with farmers. This finding suggests that relational analysis of homophily (similarity) and heterophily (dissimilarity) between extension agents and farmers may require closer consideration since they influence performance. Rogers and Bhowmik (1970) discuss some 66 propositions on the utilization of homophily and heterophily as "sensitizing concepts" in different communication situations. With increasing diversification and specialization, Agritex will not be able to provide specialist services and should therefore discontinue to pretend delivering services on "all crops everywhere" (Cornelissen, 1991). Cornelissen recommends that Agritex demarcates areas of competence for their own services and for those which could be provided by the private sector, without creating parallel structures, but only a continuum of complementary functions. Such services could include subccontracting for mass media programs and inviting the private sector for the sponsorship of disseminationmaterials, formal joint ventures for applied research, demonstration fields, field days, and, the training of Agritex extension agents (Cornelissen, 1991). For this study, pesticide use technical support needs for extension agents were assessed from extension agents’ responses on the questionnaire, and, person-to-person interviews with available senior personnel in Agritex, PPRI, the MLAWD, and the pesticide industry. Attitudes to Pesticide Use Attitude can be defined as a general positive or negative feeling about some person, object or issue (Petty & Cacioppo, 1981). Attitude and its measurement are common features of social science research. O’Keefe (1990) notes that there are three underlying points of consensus concerning the concept of attitude: 67 (1) Attitudes are learned, as opposed to being innate. Attitudes are generally taken to be a function of the sorts of experiences a person has; with changing experiences, a person’s attitude may change. (2) Attitudes are taken to be [elatjvply enduring, as distinct from a temporary emotional state like a mood. (3) Attitudes are taken to inflpencp condug. Attitudes exert an influence on behavior. This influence may not be simple and direct but attitudes are presumed to play some role in action. (p. 18) There are a variety of techniques for measuring attitudes. Measuring procedures can be divided into two major categories: direct and indirect (Petty & Cacioppo, 1981). With direct procedures, a person is asked to provide a self-report of his or her attitude. With indirect procedures, an attempt is made to measure a person’s attitude without the person knowing it. For this study, the direct procedure, using a Likert-type scale for opinion statements, was used to assess the attitudes of extension agents to aspects of pesticide use amongst small-scale farmers. Summary A major constraint in improving pest management in developing countries is the gap between knowledge needed at the farm and that of which the farmer is aware. This gap may be due to lack of provision of required information, poor dissemination or poor reception. There is some evidence from Zimbabwe and other developing countries that awareness, and use of technical information on pesticide use, has a direct impact on farm productivity. The four broad categories of pesticide information users are farmers, regulatory agencies, extension services and private companies. 68 About 15% of the estimated 900,000 small-scale farmers in Zimbabwe use agricultural chemicals. Pesticide use is greater in the higher potential agro-ecological zones. Most of the pesticide use is on cotton and maize. There is evidence of farmer adaptation of the technological recommendations from extension agents. Technical information on pesticide use for small-scale farmers is limited and generally unreliable. Agritex has the most widely spread extension service catering for about 60% of the small-scale farmers. It uses a variety of information channels for dissemination of information. The extension service has minimal involvement in the pesticide registration system. Most of the Agritex recommendations for pesticide use are based on commercial application rates. A small portion of the department budget is used for staff training. There is a paucity of empirical studies on the professional and technical competencies of Agritex extension agents regarding the tasks they are expected to perform. There are about 14 companies involved in formulating and marketing pesticides. After meeting the requirement for registration, companies have few obligations to provide more technical information on their products. The small-scale farming sector accounts for only about 5% of pesticide sales, making it unattractive for companies to invest heavily in this sub-market. Pesticide companies tend to get involved in the small-scale sector for political rather than profit reasons. The pesticide registration and monitoring services in Zimbabwe are generally better than in most other SuboSaharan African countries. With the current deregulation of the economy there are however some weaknesses in the pesticide registration and post- registration policies and procedures. There are relatively few knowledge-attitude-practice (KAP) studies of extension agents in Zimbabwe. Specifically, there are few documented studies evaluating the attitudes 69 of Agritex extension agents to technoloy, farmer practices and know-how, and, the extension organization. CHAPTER IV RESEARCH PROCEDURES This chapter details the research procedures used for addressing the study objectives. It consists of the following eight sections in order: study design, target population and sampling, development of the survey instrument, instrument validity and reliability, distribution and collection of the questionnaire, and, data analysis. The research hypotheses listed in Chapter 1 are restated as null hypotheses in the data analysis section. Study Design The primary purpose of this study was to determine the nature of pesticide use information flows, and the technical competencies and needs of selected Agritex field extension agents. A descriptive research design was chosen as appropriate. Descriptive research is concerned with “what is” (Borg & Gall, 1983). It is aimed at describing systematically a situation or area of interest factually and accurately. Quantitative and qualitative data was collected through a survey of selected extension agents in two provinces and interviews with senior personnel in organizations involved in pesticide use. The author conducted the survey in Zimbabwe over a five-month period, from August to December of 1992. During the time of the survey, the country was going through a severe drought which necessitated some changes in the research design. Time and scheduling constraints precluded the possibility of formal and systematic interviews with all relevant senior officers 70 71 in the Agritex. The study therefore focused on junior officers although some relevant comments from the available senior officers are incorporated in the discussion sections of the study findings chapter. Most field extension agents were actively involved in drought relief activities, like organizing food handouts, which limited the time available for them to participate in the study. To increase efficiency in data collection, the questionnaire was administered to groups of respondents wherever possible. Target Population After consulting with senior Agritex staff on the details of conducting the fieldwork, two alterations were made to the original research design. First, it was decided to select two, rather than four, of the country’s eight provinces, Midlands and Mashonaland Central, as the primary areas of focus. This was mainly because the effects of the drought in these two provinces were relatively less severe, therefore increasing the likelihood of finding field staff available to participate in the study. In normal rainfall years these two provinCes are relatively more productive with a higher proportion of small-scale farmers engaged in market agriculture. Consequently the inferences from the final sample are limited to Midlands and Mashonaland Central provinces, and not generalizable nationally. Secondly, it was decided to focus on junior extension staff as they are the primary contacts for farmers; senior field staff are stationed at district or provincial offices and their responsibilities, though varied, tend to be more administrative. The target population was Agritex field extension agents stationed in the Midlands and Mashonaland Central provinces of Zimbabwe. This population has approximately 500 72 male and female extension agents working in the eleven districts that make up the two provinces. Sampling A probability-proportional-to-size (PPS) sample was used to select respondents in Midlands province. Respondents were randomly selected from the districts using the staff lists at the provincial office as a sampling frame. In Mashonaland Central province, the sample consisted of available extension agents in five of the six districts. The latter sampling technique in Mashonaland Central province was adopted due to difficulties encountered in attempting to select respondents randomly. Most Agritex personnel were engaged in drought-related activities, and consequently no responses could be obtained from Guruve district. The final sample was 209 extension agents; 133 from Midlands province and 76 from Mashonaland Central (Tables 4 & 5). Two extension agents declined to respond to the questionnaire; one was due to a personal bereavement, and the other had less than one day as an employee of Agritex. Table 4: Extension Agent Sample by Rank in Organization Rank ' Population Sample Extension officers 52 15 Senior extension supervisors 12 3 Extension supervisors 55 18 Extension workers 375 160 TOTAL 494 1961‘ —_ —_ 1‘5'Ihirteen respondents did not indicate their rank in the questionnaire. 73 Table 5: Extension Agent Sample by location Province District” Population18 Sample Sampling fraction Mvuma ‘ 29 15 .52 Zvishavane 21 15 .71 Gokwe 107 40 .37 MIDLANDS Kwekwe 38 20 .52 Mberengwa 38 20 .52 Shurugwi/Gweru . 56 23 .41 Sub-total 289 133 .46 Bindura 28 3 .11 CBNTRAI. Guruve 35 0 - Darwin/Rushinga 50 31 .62 Centenary 11 6 .55 Shamva 25 16 .64 __ Sub-total 172 76 .44 TOTAL 461 209 .45 1"Based on Agritex and not administrative boundaries. ' 18From provincial staff lists as at October, 1992. 74 Development of Survey Instrument In surveys it is usually not possible to assess the correctness of the respondents’ answer(s). Accuracy or “veridicafity' of recall is a major concern in survey methodology (Strube, 1987). Determination of an appropriatesurvey instrument was based on a review of the information needs of the study, an assessment of the costs and available resources, and the likely environment to be encountered by the researcher in the survey area. Agritex extension agents were considered as the primary information source for the study. The limited agricultural activities due to the drought, and other resource constraints, reduced the opportunity for field observation or interviews as alternate information sources. Time and cost factors favored the use of a structured questionnaire as the data collection instrument. Agritex is a typical bureaucratic government agency with a top-down management approach. Consequently, both written and a verbal explanation of the objectives of the study were provided for most respondents by the author (an outsider), to minimize the potential bias and suspicion in subject responses. A self-administered questionnaire was selected as a convenient data collection method. The questionnaire was developed from the research questions and hypotheses listed in Chapter I. The questionnaire was structured as four sections, to solicit responses as per the basic research questions. A copy of the questionnaire, the cover letter and explanation used in the field is included in Appendix 4. The survey instrument was submitted to, and approved by, the Michigan State University Committee on Research Involving Human Subjects (UCRIHS) prior to data collection (Appendix 3). 75 Validity Validity is a descriptive term that the instrument accurately reflects the concept that it is intended to measure (Babbie, 1986). A survey is considered valid to the extent that it measures what, and only what it is supposed to measure. Validity attempts to measure the degree to which the survey data or results are free from systematic bias. To be valid the instrument must not be affected by extraneous factors that systematically "push” or "pull” the results in one particular direction (Alreck & Settle, 1985). There are four types of validity that are generally considered in competency assessment (Klemp, 1979). These are content, construct, concurrent and predictive validity. Content validity, the most common measure, emphasizes the extent to which the indicators measure the different aspects of the concept. To insure content validity of the questionnaire, the following steps were taken: (a) A panel of experts comprising of the members of the author’s dissertation committee, and other selected faculty at Michigan State University were engaged to assess the content validity of the instrument. (b) Senior Agritex personnel and faculty from the University of Zimbabwe reviewed and made comments on the drafts of the questionnaire. (c) Discussions were held with respondents in two pre-test groups and with other researchers to determine the appropriateness of the level of language used, and to modify aspects of language use to local norms. Construct validity is the degree to which a test relates statistically to other tests of the same competency or to tests of different competencies with which it is expected to have a theoretical relationship. The objective in gathering construct evidence is to determine 76 what psychological construct is being measured by a test and how well it is being measured (Ary et al., 1990). It combines both a logical and an empirical approach. Two aspects of the logical approach are, to ask if the elements the test measures are the elements that make up the construct, and, to inspect the items to determine if they seem appropriate for assessing the elements in the construct (Ary et al., 1990). The empirical approach was incorporated into the instrument by adapting some of the sample questions used in the Michigan Certification of Applicators Test (CBS, 1991). Concurrent validity is a measure of statistical correlation between test performance and the criterion measure of interest, in this case, job performance (Klemp, 1979). Concurrent validity was assessed by determining the correlation between product knowledge test scores and self-assessment of job performance items on the questionnaire. This procedure yielded a significant correlation of .52 (p< .001). According to Klemp (1979), if construct validity has been established and the concurrent validity is high, there is evidence that the competency has been 'operationalized" correctly and its measurement is related to performance. Evidence of prediCtive validity is demonstrated if an intervention aimed at increasing a competency led to both higher test scores and a greater performance effectiveness in relation to the external criterion. Predictive validity was not established since no intervention was planned for in the study objectives. It is seldom possible to obtain predictive validity in educational settings and concurrent validity is a more practical measure (Klemp, 1979). 77 Reliability Reliability means the freedom from random error (Alreck & Settle, 1985). The key question in determining reliability is whether the same data values would be obtained each time in repeated observations of the same phenomenon. A test that is unreliable will show variation in scores due more to weaknesses of the test itself than to differences among the people taking it. The respondents’ ability to recall specific items/issues was of particular concern because of the drought which had suppressed most agricultural activity in the preceding season. Questions that required the respondent to assess the frequency of repeatedly eXperienced events, or time dating of events were therefore kept to a minimum. Since there had been few farming activities in the survey area in the preceding agricultural season, questions of the "have you ever" type were preferred to those of the "how often" or "when did you last” type. This is because the latter type of questioning increases memory load and requires a complicated judgement step (Strube, 1987). The questionnaire was pilot tested on two groups of respondents similar to, but not included in the final sample. After each session, a discussion was held with each group to obtain feedback on aspects of the questionnaire. This included determining that the questions were clear and appropriately structured, for example avoiding double questions and negatives, and threatening and/ or sensitive questions. An attempt was made to ensure that the questionnaire terminology and expected knowledge was at a level appropriate for the respondents. Reliability was also assessed by the consistency of responses using item-item correlations. Cronbach’s alpha, a measure of internal consistency, was used as a measure 78 of reliability on selected Likert-type questions. Cronbach’s alpha computed for the selected items ranged from .70‘ to .89, which is acceptable. A split-half reliability model based on eight attitudinal items yielded the following acceptable coefficients: Correlations between forms a- .71 Equal-length Spearman-Brown = .83 Guttman split-half = .77 Correlation between forms is the correlation between the two halves. The equal length Spearman-Brown coefficient is what the reliability would be if it was made up of two equal parts that have a four-item reliability of .71. The, Guttman split-half is the coefficient if no assumption is made about equal reliability or variance between the two halves. A disadvantage of split-half coefficients is that the results depend on the allocation of items to halves (Norusis, 1988). Distribution and Collection of the Questionnaire After meeting with the Agritex director, and the chief of crop production, introduction letters and a summary of the research procedures were sent to the provincial heads of extension in Midlands and Mashonaland Central provinces (Appendix 1). Meetings were then held with the provincial heads to clarify any outstanding issues and to finalize ‘ plans for data collection. Wherever possible the author administered the questionnaire during regular staff meetings at district and provincial offices. When this was not feasible, the author requested the assistance of the district agricultural extension officer (DAEO) of that area to administer the questionnaires. About sixty percent of the questionnaires were administered by the author. In all cases, respondents were not allowed to communicate with 79 one another, or to have access to secondary material (for example books and technical bulletins) since most of the objective-type questions in the instrument were simple and readily available from manuals or books. All questionnaires were collected by the researcher or the DAEO after completion by the respondents. On average, the respondents took approximately thirty minutes to complete the questionnaire. The questionnaires were manually checked and the data entered into a computer soon after collection; the period from data collection to entry was four days on average. Non-response error was insignificant in Midlands since only two of the selected agents did not respond. In Mashonaland Central it was not possible to estimate the non- response error since the sampling plan was compromised to selecting available agents. This was an inevitable limitation of the study design. Data Analysis Before data analysis, consideration was given to the question of inference of the findings in Mashonaland province as the sample was not totally random due to constraints in accessing all the selected subjects. Statistical tests revealed no significant differences in extension agents’ demographic characteristics between the two provinces, and within the five districts of Mashonaland Central sampled. The author considered that the reasons for lack of randomness (the unforeseen drought relief commitments of the target population in Mashonaland Central, and, the study’s timing and resource constraints) were unlikely to have introduced obvious bias in subject selection given the high sampling fraction (40%). Further there was no uniqueness in the Mashonaland Central sub-sample demographic A 80 characteristics when compared with Midlands province and some available population parameters. The author’s subjective judgement was that the results were likely to be applicable to all the extension agents in Mashonaland Central province. However, statistical tests were conducted separately for the two sub-samples and are reported as such where the results and/or conclusions were different. SPSS PC+ Version 4.0 statistical analysis package was used for data entry and analysis. The first part of the analysis was a description of the sample using basic distributional characteristics like response frequencies, means and standard deviations. Relationships between selected variables, for example demographic characteristics and attitudes, were also analyzed. The second part of the analysis involved testing the following null hypotheses for each research question stated in Chapter 1. Null Hypotheses t' ' ec' tne' e'ide sa (1) There is no significant difference in extension agents’ technical competence related to the formal qualifications attained. (2) There is no significant difference in extension agents’ technical competence related to the level of in-service training in pesticide use received. (3) There is no significant difference in extension agents’ technical competence related to the level of on-the-job experience. (4) There is no significant difference in extension agents’ technical competence related to other demographic characteristics. 81 Qngn'pn 2: Pesticide Use Information Spurces and Channels ( 1) There is no significant difference between extension agents’ perception of Agritex and pesticide companies as sources of pesticide use information. (2) There is no significant difference between extension agents’ use of formal and informal channels in the acquisition of pesticide use information. (3) There is no significant difference in extension agents’ acquisition of pesticide use information related to media richness. (4) There are no significant differences in extension agents’ use of information sources and channels related to other demographic characteristics. 3' ’ t' estwr es'id se (1) There are no significant differences in extension agents’ attitudes to pesticide use related to age. (2) There are no significant differences in extension agents’ attitudes to pesticide use related to gender. (3) There are no significant differences in extension agents’ attitudes to pesticide use related to formal qualifications. (4) There are no significant differences in extension agents’ attitudes to pesticide use related to position in Agritex. (5) There are no significant differences in extension agents’ attitudes to pesticide use related to length of service in Agritex. 82 'o : ech ' Su 0 ee 5 Re ar in Pesticide Use Ma ement (1) There is a need to improve technical support to Agritex field extension agents regarding pesticide management. (2) Agritex should be responsible for supporting field extension agents in pesticide use management. (3) Pesticide companies should be responsible for supporting extension agents in pesticide use management. (4) There is a need for formal communication between field extension agents and the pesticide company’s technical specialists. Factor analysis was used to identify and aggregate item responses to attitudinal questions using item-item correlations. Semi-partial and stepwise multiple linear regression analysis were used to identify specific independent variables which contributed to the variance in extension agents’ competency scores. Throughout the analysis, a .05 probability level was used as the basis for testing hypotheses. CHAPTER V STUDY FINDINGS The major objectives of this study were to determine the nature of technical information flows, and the technical competencies of selected Agritex extension agents in the Midlands and Mashonaland Central provinces of Zimbabwe regarding the appropriate use of pesticides. This chapter presents the study findings. The findings are presented and discussed in six major sections: (a) Demographic characteristics of respondents, (b) Extension agent technical competence, (c) Information. sources and channels, (d) Attitudes to pesticide use, (e) Pesticide use technical support needs, and, (f) Comments on the questionnaire. The results for the null hypotheses listed in Chapter IV are presented in the respective sections for the research question. Demographic Characteristics of Respondents The usable sample consisted of 209 extension agents. Demographic variables provide some insights into the characteristics of Agritex extension agents. This section summarizes the following demographic characteristics of the respondents: age, gender, formal ' qualifications (academic and agricultural), position and years of service in Agritex. 83 84 Extension Agent Age The average age of extension agents in the sample was 39 years. The average for female agents was lower at 29 years. There was a wide range in age, with the youngest agent being 21, and the oldest 60 years of age; the range for female agents was 23 to 40 years. Figure 6 shows the age distribution for all the respondents. About 30% of agents were in the 31 to 40 age range. The normal retirement age for Agritex personnel, like other civil servants is 65 years. Early voluntary retirement is one option being considered for the proposed reduction in the size of the civil service (Zimbabwe Government, 1991). Extension Agent Age 41-50 51-60 21-30 31-40 Age (years) Figure 6: Extension Agent Age Distribution 85 Gender There were 20 (10%) female extension agents in the sample (Figure 7). This proportion is similar to the overall representation of females within the field division (Appendix 2). Agritex started actively recruiting female extension agents in the 1980s when the agricultural institutions increased their intakes of female students. Most of the communal farmers serviced by extension agents are female”. There are few empirical studies on farmers’ gender preferences for Agritex extension support. A survey of women farmers in Makonde district by Mutuma, et al. ( 1987) found that while communication was perceived as better with female than male extension workers, 41.9% of the respondents were indifferent to the gender of the agent. Validity of gender-based studies is limited since the majority of farmers in communal areas have never been serviced by a female extension agent. Academic Qualifications Over half of the respondents had attained an ”ordinary level" (11 years) of schooling or higher. An ordinary level certificate, with passes in English and science, was the current minimum qualification for entry into the agricultural certificate-granting institutions”. For the diploma-granting colleges (Chibero and Gwebi), the minimum entry qualification was at least two "advanced level" passes. Since the late 1980s, the recruitment tendency has been 19Mutuma, et al. (1987) estimate the number of female farmers as 60-70% of all communal farmers; due mainly to labor migrancy, an average of 45% of rural households are headed by females. 20There are 4 institutions: Mlezu, Kushinga Phikelela, Rio Tinto and Esigodini. 86 to select candidates with higher academic grades due to a tremendous increase in applications”. Figure 8 shows the highest academic level attained for the total sample. The 27 respondents (13.4%) with the lowest academic qualification (Grade 7 or Standard 6) were all males. Gender of Respondents Figure 7: Extension Agent Gender Male 90% Female 10% 21In 1987 Chibero College received 10,800 applications for about 70 places (Mutuma et al., 1987). 87 Academic Qualifications 0 Frequency s Form 2/J.C. Form 4/‘0' ’Form 4 Qualification Grade 7/Std 6 Figure 8: Highest Academic Level Attained Agricultural Qualifications Most extension agents, 92%, are agricultural certificate holders (Figure 9). Those with an agricultural diploma and / or university degree have the rank of agricultural extension officer or higher. The entry qualifications for the agricultural certificate training institutions were raised in the early 19805. The extension agents recruited since then have higher academic qualifications than their predecessors. 88 Agricultural Qualifications Degree 2% ....... Diploma 6% Figure 9: Highest Agricultural Qualification Attained Rank in Agritex Most of the extension agents sampled were extension workers (Figure 10). Extension workers are the front-line extension agents who have relatively close contact with farmers. All extension workers reside in the communal areas in which they work. Like Other government departments, the entry position, promotions and other conditions of service are governed by the Public Service Commission (PSC). There are two distinct entry level positions, extension worker or officer. Public service regulations stipulate that 89 agricultural certificate holders cannot be promoted to the rank of agricultural extension officer without attaining a higher academic qualification, such as a diploma or university degree. Therefore most extension workers are likely to remain at the same rank for the rest of their careers within the organization. Extension Agent Ranks Extenslon workers 8295 Officers 8% Supervleors 11% Figure 10: Position in Agritex 90 Length of Working Experience The average length of working experience in Agritex was 13.7 years. There was a wide range, 37 years (0.4 to 38), in the length of service between the extension agents. About 46% of the agents had worked in the department for less than 10 years (Figure 11). Length of Working Experience «to 10-20 21-30 >30 Years employed in Agritex Figure 11: Extension Agent Length of Service 91 Relationships Between Demographic Characteristics There was a high frequency of correlation between the demographic variables measured in the questionnaire. Table 6 summarizes the relationships between demographic characteristics for the total sample. There was a relationship between gender and age (.33), and between gender and the length of service in the organization (.32). Female extension agents were significantly younger than their male counterparts. This was to be expected because Agritex started recruiting female agents in the 1980s. There was a strong negative correlation (-.70) between age and the highest level of schooling attained, and a moderate negative correlation between age and highest agricultural qualification attained (-.19). Younger extension agents had higher academic and agricultural qualifications overall. The minimum entry qualifications for the agricultural certificate training institutions (Mlezu, Esigodini, Rio Tinto and Kushinga Phikelela) were raised from junior certificate (form 2) to ordinary level (form 4), during the 19803. The negative correlations between length of service and the level of schooling, and the former and level of basic agricultural training indicates that in general, extension agents do not attain higher formal credentials on the job. Agritex policy on long-term formal training is to support only selected extension officers who already have diplomas or degrees for post-graduate training”. The correlation between the various demographic variables made it necessary to use statistical tests that simultaneously account for other compounding variables. 22Hakutangwi, Agritex Chief Training Officer, personal communication, September, 1992. Table 6: Correlation Matrix of Extension Agent Demographic Variables 92 Age Gender Schooling Training Rank Service Age 1.0 .33“ -.70** -.19"' .01 .91" Gender 1.0 -.25" -.05 .03 .32“ Schooling 1.0 .48" .26" -.69"* Training 1.0 .83" -.18* Rank 1.0 .03 finice 1.0 ‘

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