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D . degree in Geography g%/%K:1VZ/geg/ / Major professor A, ‘ ,/ Jack Williams Date 5/4/f5 MS U is an Affirmative Action/Equal Opportunity Institution 042771 MSU RETURNING MATERIALS: Place in book drop to LIBRARJES remove this checkout from up. your record. FINES will be charged if book is returned after the date stamped below. / “what 96 ’M’Vb#_ '10 17, 93 l i-"flfiwwi DE? 193%“; "\ l Jar .‘j' ‘NBYzlolginm CV» N 5896 (if APR (2 30 3065 DECENTRALIZATION OF SEOUL: THE NEW TOWN MOVEMENT IN THE METROPOLITAN REGION BY Jin Hwan Lee A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Geography 1985 Haing Ryo To My Wife, ACKNOWLEDGEMENT The preparation of this dissertation was supported by many persons. I first wish to express my sincere appreciation to Dr. Jack F. Williams, committee chairperson, for his guidance, kindness, and encouragement through my graduate studies. His patience and support contributed to this study is gratefully acknowledged. My deepest appreciation. and gratitude are extended to my doctoral committee members, Dr. Ian M. Matley, Dr. Joe T. Darden, and Dr. Bruce Wm. Pigozzi, who have provided encouragement and Support, and given me constructive and scholarly criticisms in the preparation of this study. A special thanks goes to Dr. Gary Manson, chairman of Geography, for his consideration during my stay at Michigan State University. I also wish to thank my friends and COlleagues, particularly Stephanie Sambrook, Chris Sutherland, Dr. Mohammad Kamiar, Marty Stepper and Fatemeh Behforooz for their encouragement and help in this dissertation. During my survey in Korea in 1983, all the faculty in the Department of Geography, Seoul National UniversitYr and iii others encouraged me and provided me with materials for this research. In this regard, I am deeply grateful to professors Ji-Ho Lee, Chan Lee, Sang-Ho Kim, Jae-Ki Hwang, Ki—Suk Lee, Man Ik Hwang, and Sam Ock Park at Seoul National University. My indebtness is extended to professor Won Kim at Seoul City Industrial College, Dr. Won—Yong Kwon in the Korea Research Institute for Human Settlements, Yun—Kil Jo in the Office of Banweol Township, and Won—Je Yu in the Banweol Branch Office of the Industrial Sites and Water Resources Development Corporation for their help in data collection. Finally, for my wife, Haing Ryo, and two sons, John and James, enough can not be said of their moral support, sacrifice, and love during the last several years. Also, I am deeply grateful to my parents, my mother-in—law, and sister-in—law, Haing Ja, for providing me with their love and support throughout my studY- iv TABLE OF CONTENTS Ixist of Tables......................................vii Irist of Figures......................................ix CHAPTER ONE.......................................... 1 INTRODUCTION.................................... 1 Statement of the Problem........................ 2 Types and Functions of New Towns................ 3 Application of the New Town Concept............. 8 Study Area...................................... 9 Objectives of the Study.........................12 Methodology.................................. Significance of the Study.................... Organization of the Study.................... Chapter Notes...................................25 o o o a o o a o - NM 0—4 wwm CHAPTER TWO..........................................29 DEVELOPMENT POLICIES FOR NEW TOWNS IN KOREA.....29 The New Town Movement in Korea..................30 New Town Development in the Seoul Metropolitan Region..........................................45 Policies of New Town Development in Sungnam and Banweol...................... ..... ..........47 Summary.................. ..... ... ...... .........67 Chapter Notes...................................69 CHAPTER THREE.................... ........ ............73 l URBAN LAND USE PATTERNS IN SUNGNAM AND BANWEOL..73 Urban Land Use Patterns in Sungnam..............77 Urban Land Use Patterns in Banweol..............87 Summary.........................................99 Chapter Notes....................... ..... ......103 CHAPTER FOUR... ..... ......................... ..... DIFFERENT CHARACTERISTICS OF INTERACTIONS BETWEEN SUNGNAM AND BANWEOL.................. Analysis of Interactions between Sungnam and Other Urban Centers...................... Analysis of Interactions between Banweol and Other Urban Centers...................... Summary............. ......... ................ Chapter Notes................................ CHIAPTER FIVE...................................... MEASUREMENTS OF GOAL ACHIEVEMENT IN SUNGNAM AND BANWEOL: INDUSTRIAL DIVERSIFICATION AND ECONOMIC BASES............................... Some Aspects of Industrial Diversification in the New Towns................................ Urban Economic Bases in the New Towns........ Summary................... ...... ...... ....... Chapter Notes. ........ ....................... CHAPTER SIX....................................... MEASUREMENTS OF GOAL ACHIEVEMENT IN SUNGNAM AND BANWEOL: JOB OPPORTUNITIES AND URBAN SERVICES..................................... The Balance Between Job Opportunities and Job Seekers........... ..... ...... ....... ......... Comparison of Urban Services and Facilities between the New Towns and Seoul ....... ....... Summary..................................... Chapter Notes................................ CHAPTER SEVEN..................................... SUMMARY AND CONCLUSIONS...................... Summary...................................... Conclusions.................................. Chapter Notes................................ BIBLIOGRAPHY...................................... vi .132 .132 .148 .157 .160 .162 .162 .162 .168 .179 .182 .183 .183 .183 .192 .201 .202 _—_’——— LIST OF TABLES Table Page 2.]. Development of New Towns in Korea, by Popula- tion and Function ................................ 34 2..2 Population of Cities in the SMR (1981) ..... . ..... 49 2.23 Population Growth in the SMR .............. .......50 2.4 Concentration of Headquarters of Enterprises in Seoul and the SMR ................................ 52 2.5 Land Price of Residential Area by Township in Gyonggi Province (Sungnam, 1968) ................. 57 2.6 Land Price of Residential Area by Township in Gyonggi Province (Banweol, 1978) ................. 58 2.7 Housing Shortages in Seoul... .................... 62 3.1 Distribution of Functional Land Use in Sungnam and Banweol ...................................... 89 3.2 Areas of Functional Districts per 1,000 Persons (1982). ............. ... ......................... 100 2 4.1 R , Beta Weight, and F—Value for Sungnam to Explain Variation, Standardized Regression Coefficient, and Significance, Respectively ..... 110 4.2 Fifty-one Places Corresponding with Sungnam.....115 2 4.3 R , Beta Weight, and F-Value for Banweol to Explain Variation, Standardized Regression Coefficient, and Significance, Respectively ..... 122 4.4 Places Corresponding with Banweol ............... 125 5.1 Industrial Categories in Sungnam ................ 138-9 Ti 5-2 Gini Indexes in Sungnam ......................... 140 5. Industrial Categories in Banweol ................ 143-4 5.-4 Gini Index in Banweol ........................... 146 5..5 Location Quotients (LO) in the New Towns ........ 152 .6 Basic and Non-Basic Activities in the New Towns.154 5-'7 Numbers of Industrial Categories in the New Towns Based on Values of Location Quotients ..... 156 6.1. Daily Commuters Crossing to and from Sungnam, 1982........ ................... . ................ 165 6.22 Daily Commuters Crossing to and from Banweol, 1982 ....... ..... ............ . ............. . ..... 167 6.3 Comparison of Educational Facilities and Matriculating Ratios (1982) ..................... 169 6.4 Comparison of Health and Recreational Facilities ...................................... 173 6.5 Comparison of Transportation Facilities ......... 176 6.6 Comparison of Housing (1981) .................... 176 \ viii LIST OF FIGURES o Page .10 .35 .80 .85 .91 .92 ..141 ..141 ..141 Figure 1.1. Location of Banweol and Sungnam, and Ten Cities in the Seoul Metropolitan Region....... 2.]. New Towns in Korea............................ 3.1. Distribution of Land Use in Sungnam........... 3.2 Patterns of Street Distribution in Sungnam.... 3.3 Distribution of Land Use and Street Patterns in Banweol.................................... 3.4 Distribution of Neighborhood Units in Residential Districts of Banweol.............. 4.1 Location of Places Based on Residuals (Sungnam).114 4.2 Location of Places Based on Residuals (Banweol).124 5.1 Lorenz Curve....................................134 5.2 Lorenz Curves Showing Industrial Diversification in Sungnam.................... 5.3 Lorenz Curves Showing Industrial Diversification in Banweol.................... 5.4 Comparison of Industrial Diversification between Sungnam and Banweol................... 6.1 Comparison of Number of Households with Number of Houses Constructed in Seoul, Sungnam I and Banweol, 1977-1981 ............. .............178 ix CHAPTER ONE INTRODUCTION Urban growth has produced many social and environmental prxoblems in urban areas. Complex urban problems continue to agnglomerate until a city's growth is impaired, when growth nc> longer flows toward the city center, but out to suburban ernzirons. The direction of metropolitan growth, in general, goes through the following four stages: (1) central city in-migration, hinterland out-migration; (2) central city out—migration, suburban growth dominance, and rural hinterland out-migration; (3) central city and older suburban out-migration, far suburban and exurban in— migration; (4) metropolitan out-migration, exurban and rural in-migration. South Korea has experienced central city in-migration, accelerated by industrialization, since the 1960s. The country's five-year economic plans have emphasized industrialization and the expansion of foreign trade, over the last two decades, that has resulted in a concentration of industrial facilities in urban areas and fostered rural to urban migration. The strong pull effect of urban areas served to accelerate their polarized development. As a result of the influx of population to the large C:it:ies, urban problems have been intensified. For example, “more: than one-fifth of Korea's population is concentrated in tile <:apital city of Seoul. Seoul's increase in population SiJice the 19605 has resulted in urban problems such as trnaffic jams, inadequate housing, inappropriate distribution of" industrial and commercial facilities and pollution, as vnall as military vulnerability from attack by North Korea. Truese situations have led authorities to try the (establishment of "new towns" as a means of resolving these Iarban problems. Thus, Seoul city authorities and central government officials chose Sungnam and Banweol as new town sites in 1968 and in 1977, respectively. Statement of the Problem Although several new towns have been built in Korea, there are very few studies in Korean and virtually nothing in Western languages on the relationship between decentralization and the development of new towns around Seoul. Moreover, there are few, if any, studies comparing new towns with each other and examining the success or failure of their development, particularly in Third World nations. In this regard, it has not been determined whether the goals of new town development have been achieved. Therefore, the problem of this research is to determine whether new town development has achieved the goal of est:al31ishing independent new towns in the Seoul Metropolitan Region. Types and Functions of New Towns The functions of new towns vary according to their tyqoes. Previous researchers have classified new towns into several types . Gliege described three kinds of new towns as iruiependent new towns, satellite new towns, and new towns 2 irr—town. Alonso divided new towns into only two categories: satellite and independent new towns.3 He indicated that new towns were "independent" if they could employ their own residents, or were "satellite" if there were a substantial amount of commuting to other centers. He does not include growth centers in the new town category. W.T. Watterson and R.S. Watterson divide new towns into four groupings: satellite, add—on (additions to existing small towns and cities capable of conversion to growth centers), new towns in—town, and free-standing new towns. Pressman mentions independent new towns, satellite new towns, and expanded new towns.5 Synthesizing the studies cited above, new towns can be categorized as (1) independent new towns, (2) satellite new towns, or (3) new towns in-town. A new town's type varies, depending on its functions. I nd ependent New Towns Independent new tOWns are geographicallly separated frrnn metropolitan regions. As the term indicates, they are iruiependent from the metropolis in employment opportunities 6 arui other socioeconomic activities. The original intent of iruiependent new towns was to absorb surplus metropolitan 7 pcnpulation and provide for self—sufficiency. Self— SLrEficiency and balanced development remain the most ianortant functions in establishing independent new towns. Self—sufficiency implies independence along three main lines of development. First, efforts are made to provide job opportunities for residents in the independent new towns, in order to minimize the number of people who must commute daily to a more distant workplace. In other words, the aim is to reduce the distance residents journey to work and assure economic viability by providing jobs within the independent 9 new towns equal to the number of potential job seekers. If the new town has an oversupply of job seekers without sufficient job opportunities or vice versa, there will be cross movement, 10 employment. with workers traveling to the outside for To create a balance between job opportunities and job seekers, the strategy for developing independent new towns emphasizes the establishment of 11 industrial facilities to provide job opportunities. Second, efforts are undertaken to diversify industry in tile new town, so that its employment structure will not be dLDHuinated by a single firm or type of employment. The reaarson for this is to prevent a catastrophe in employment if a AmuazmAbmsm .u:®EQO~m>oa :30? 302 Law mmqowumuum wo >U5Lm < .mucmemAuuwm smear qu QDJUADmcm cummomwm cmouox wze .NA .d .nnmA .AOQZCMm CA cmfim acoEQoAm>ma one .coAuusuumcoo mo >ubchwz 0;? .mm .Q .mmmq .Emcoczm :A :mAd acmemodw>wa 0:9 .mvm .Q .NmmH .Emcocsm mo Leone: .me .Q .opmA .Emcmczm ca acmEdvo>oQ cans: uOu :mAm acmewwcmuummm one .ucoEcuo>oo >DAO Emcoczm 0:9 umOz30m C.COA mm.~h odo~ oom.~m odOA oom.nm odoAima>.mva odoA.mmm.NMA o.oo~ www.mmA Amboe m.eq om.~m o.em Nam.~m s.mm ~o~.~m m.vm «mo.om >.mm www.ms A.AG mmm.mm mumam :mdc m.o~ mw.vA iiii iiii iiii iiii c.5m oom.vm o.om omw.~v iiii iiii qubcowuo v.AA o~.m A.vA ANA.m ~.vA mm~.m A.A oom.~ ~.A oow.~ o.m mna.m AcqubmspcA m.m oS.A m.m who.A m.~ v~0.A v.0 ohm.o >.o ohm.o o.~ wmm.A Amflouoeeou m.A~ om.mA o.nm on.m~ N.h~ amh.m~ m.m mmv.w v.0 mmv.m m.m~ Amv.mm.AmAAchAmmm ucou A Exv bcwo A Exv ucoo A Exv ucmo A Ex. ucmo A Exv ucoo A Ex. iuwa mou< iuo mmu< iuom mmu< iuwm mon< iumm mwu< iumd mmu< NmmA an¢~ hhmA mnma whmA mwmA A003cmm Emcmcsm Aowzcmm Dcm Emcoczm CA mm: tam; Amcoquucsm mo codaznduumAe n~.m me1ii3ui'..:m£-.:;- 118 portion of Sungnam residents, 1.3 percent, but, based on its proximity to Japan, it has the largest port for foreign trade in Korea and exports manufactured products from Sungnam. In 1980, sixty-nine industries in Sungnam exported textile, chemical, machinery, electronic, and electrical products worth $212,059,000.l3 Raw materials used in Sungnam can also be imported through Pusan. These exporting and importing activities could be a major source of the more frequent than estimated calls from Sungnam to Pusan. Taegu is the provincial capital of Gyongbuk province and more calls than estimated could also be related to business activities. Taegu is famous for spinning and raw silk manufacturing in Korea. These textile manufacturing activities, connected with textile industries in Sungnam, could be a source of the greater than expected frequency of calls. Negative Residuals. Places of negative residuals are scattered in the Seoul Metropolitan Region and Kangwon province. The Seoul Metropolitan Region contains six places of much fewer calls than expected: Seoul, Dongduchon, Osan, Ansong, Onyang, and Hongsong. There are various reasons that may explain the fewer calls than expected. Seoul's fewer than expected calls may result from the large number of Sungnam residents making trips between Sungnam and Seoul. In 1983, about 46,000 residents of Sungnam a day made round 14 trips between Sungnam and Seoul. These residents are not 119 likely to use long distance telephone from Sungnam to Seoul because they have the ability to visit Seoul in person and are likely to make any necessary local calls while they are in Seoul. For example, daily commuters can use public phones or telephones at their work place in Seoul to call Seoul residents. Osan and Dongduchon also have fewer calls than expected. Osan and Dongduchon are military cities which have army bases, which could be a reason for fewer personal calls from Sungnam. In order words, Sungnam's personal calls are not likely to have large effect on the military cities. Hongsong, Ansong, and Onyang are located in rural areas which are relatively isolated. This isolated location may result in fewer calls from Sungnam to them than predicted. Kangwon province which is situated in the central eastern part of Korea, has many places of negative residuals. The province is more isolated than others because of several large mountain ranges. Particularly, Chechon and Yongwol have many fewer calls from Sungnam than expected. These places are both relatively isolated and have military bases which may result in fewer calls than expected. Another place which is isolated in the southern coast area, Chinju, also has fewer calls than predicted. That area is the origin of a very small portion of Sungnam 15 residents. Furthermore, Chinju is a center of a rural area 120 located far from Sungnam which may result in fewer calls from Sungnam to Chinju than predicted. Analysis of Interactions between Banweol and Other Places Estimating Parameters in the Gravipy Model for Banweol The data on telephone calls from Banweol to eighty- seven places were used for the interaction model. These eighty-seven places are all the places with which Banweol corresponds every day. Using the average number of calls a day, the resulting multiple regression equation is expressed as: LogIBj = —l.440 + 0.665 Log Pj - 0.539 DBj (4.6) (—4.600) (12.520) (—6.136) In the equation 4.6, values in parantheses are t- values, and the constant a has a negative value of -1.440. B The constant, a , includes the value of Banweol's population B variable, P . P is a constant in the gravity model because B B Banweol‘s population remains the same in each of eighty— seven comparisons. The negative value of the constant indicates a very small value based on the small population of Banweol. Size of population is directly related to the frequency of telephone call interactions. If one unit of Log P increases, the value of Log I increases by b or 0.665 Bj B units. In comparison with Sungnam's equation (4.5), the value of b in Banweol's equation (0.665) is larger than B 121 that of Sungnam (0.495). This indicates that the population variable in the Banweol equation (4.6) is more sensitive to the interaction variable of telephone calls than that in the Sungnam equation (4.5). According to the estimation of each multiple regression equation for Banweol and Sungnam, the original hypothesis that the partial coefficient of Banweol (b ) is larger than that of Sungnam (b ) was supported. BIn this study, population sizes ofsother places were more sensitive to interactions of the industrial base than interactions of the residential base. Meanwhile, the effect of distance was opposite to that of population size in the gravity model. With the increase of distance, interactions decreased. In equation 4.6, the partial regression coefficient of distance, c , has a value of 0.539, so that if one unit of Log D . iicreases, the value of Log I . decreases by 0.539. BThe value of c (0.539) is less tggn unity and relatively small, which mean: that the effect of distance is a minor barrier to telephone call interactions. Moreover, compared with Sungnam, the value of c in the Banweol equation of 0.539 is smaller than B the c of 0.853 in the Sungnam equation. This means that S the distance effect of Sungnam is more sensitive in interactions than that of Banweol. This result supports the original hypothesis that the value of the partial coefficient in the Sungnam equation, c , is larger than that S . jm.1fl.-... H" V," ' 122 in the Banweol equation, c . As a result, the population size function of Banweol with its industrial base is more sensitive to telephone call interactions than that of Sungnam with its residential base, whereas the distance function of Sungnam is more sensitive to telephone call interactions than that of Banweol. The coefficient of determination, R2, is 0.694 in Table 4.3. This indicates that the gravity model equation (4.6) accounts for 69.4 percent of the variation in the telphone call data explained by population and distance data. This is a substantially large explanation. 2 TABLE 4.3: R , Beta Weight, and F-Value for Banweol to Explain Variation, Standardized Regression Co- efficient, and Significance, Respectively. Beta Weight R2 Population Distance F-value 0.694 0.755 -O.370 95.427 To explain the significance of equation 4.6, the F-test was used. The F-value, 95.427, was found to be larger than the critical F-value, 2.71 at the 0.05 significance level. According to this result, the null hypothesis that partial coefficients are identical (b =c =0) was rejected. Instead, the result accepted the alterfiatgve hypothesis that partial coefficients are not identical (t>#C#0), that the multiple B B regression equation (4.6) is significant. 123 One-tailed t-test was used for explaining the significance of the relationship between each independent variable and the dependent variable because it allows for determination of the direction of relationship. Given that the size of population is positively related to interactions, while the amount of distance is negatively related to interactions, the t-value of population, 12.520, and absolute t—value of distance, 6.136, were found to be larger than the critical t-value of 1.670 at the 0.05 significance level. This result rejected the null hypothesis that no relationship exists between population size and telephone calls, and between distance and telephone calls. The alternative hypothesis that there are relationships between each independent variable and the dependent variable was accepted. Interpreting Residuals in Banweol's Case A map of residuals can show how variation in the transformed data, that was not explained by the gravity model, is distributed among eighty—seven places. The multiple regression equation 4.6 explained 69.4 percent of the variation, while 30.6 percent of the variation in the telephone call data remained unexplained (Table 4.3). The map of residuals accounts for the unexplained 30.6 percent of variation. In Figure 4.2, eighty—seven places are classified into five categories based on intervals of .9. . .; I’ll-iii“? 13f.» 124 ~m3 . r _ I 0.396 to 0.790 :1 0.000 to 0.395 o 0.000 to ~0395 o —0.396 to —0,790 o—o.791 to —0.838 * Banweol » 0 '00 hl—hb—L—d 4 kilometers Figure 4.2 Location of Places Based on ReSiduals (Banweol) 125 TABLE 4.4: Places Corresponding with Banweol Number Place Number Place 1 Chorwon 45 Chomchon 2 Sokcho 46 Chochiwon 3 Chongok 47 Hongsong 4 Pochon 48 Daechon 5 Dongduchon 49 Chongyang 6 Munsan 50 Gongju 7 Chunchon 51 Nonsan 8 Gapyong 52 Taejon 9 Uijongbu 53 Sangju 10 Wondang 54 Uisong 11 Kimpo 55 Kumsong 12 Ganghwa 56 Gumi l3 Inchon 57 Kimchon l4 Seoul 58 Daeya 15 Kurye 59 Yegwan 16 Hongchon 60 Taegu l7 Kangnung 61 Pohang l8 Donghae 62 Gyongju l9 Samchok 63 Kunsan 20 Yangpyeong 64 Iri 21 Gwangju 65 Kimje 22 Sungnam 66 Chonju 23 Anyang 67 Muju 24 Suwon 68 Chongup 25 Osan 69 Namwon 26 Yongin 70 Kwangju 27 Ichon 71 Mokpo 28 Yoju 72 Sunchon 29 Wonju 73 Yosu 3O Yongwol 74 Namhae 31 Chechon 75 Samchonpo 32 Chungju 76 Chinju 33 Ansong 77 Changryong 34 Pyongtaek 78 Haman 35 Dangjin 79 Masan 36 Taean 80 Milyang 37 Sosan 81 Eonyang 38 Yesan 82 Ulsan 39 Sinjang 83 Yangsan 40 Onyang 84 Kimhae 41 Chonan 85 Pusan 42 Chongju 86 Cheju 43 Yongju 87 Sogwipo 44 Andong Alumi- 'jflE:”' 126 residual value: two categories of positive residuals and three categories of negative residuals. Positive Residuals. Places of much greater positive residuals are concentrated in the Seoul Metropolitan Region and the southeastern part of the country. The Seoul Metropolitan Region includes Osan, Pyongtaek, Yongin, and Sungnam that experience greater than expected calls from Banweol. These locations are near Banweol and several rationale may explain the greater than expected telephone traffic. Osan and Pyongtaek have army bases, and are located relatively near Banweol. These military functions and close location may explain the reason for more calls than expected. The dominant industrial function of Banweol produces a large amount of correspondence with military cities unlike Sungnam whose residential function decreases such interaction. Yongin is famous for such tourist attractions as a Natural Farm and a Folk Village, as well as for spinning industries. These tourist facilities may require food and manufacturing products from Banweol that result in frequent telephone interaction. Meanwhile, although Sungnam has a dominant residential function, it also has three industrial districts which may require more calls from Banweol to Sungnam than would otherwise be expected. The southeastern part of the country contains Kumsong and Eonyang as places with high positive residuals 127 indicating greater than expected telephone interactions with Banweol. Kumsong produces mineral resources such as graphite and gold and is located on the Jungang railroad line connecting Seoul and Kyongju. Eonyang produces iron ore and is located on the Gyongbu freeway connecting Seoul and Pusan. These mineral resources and convenient facilities for transporting them may result in more calls than would otherwise be expected. Negative Residuals. Three places receiving much fewer calls than predicted were Sangju, Chomchon, and Samchonpo. Sangju and Chomchon are rural centers located in isolated basins and have no particular industrial functions. The lack of industrial base and the physical condition could result in fewer calls from Banweol than would otherwise be predicted. Another place, Samchonpo, is situated in the southern coastal area of the country far from Banweol and also has no strong industrial base. Although Samchonpo is one of the most important fishing ports in Korea, fish and other marine products are seldom sent from Samchonpo to Banweol because of the long distance. The absence of an industrial base and the long distance largely explain the relative lack of calls from Banweol to Samchonpo. 128 Summary Through examination of the multiple regression equations for Sungnam and Banweol, several detailed findings can be summarized. First, the result of comparisons of the partial coefficients for population and distance between Sungnam and Banweol supported the hypothesis that the population size function of Banweol affects telephone interactions more than that of Sungnam, while the distance function of Banweol has contributed less to the interactions than that of Sungnam. This result can be related to the observation that business calls based on Banweol's industrial dominance correspond with market volume which is related to population size, whereas personal calls based on Sungnam's residential dominance significantly correspond with distance. Second, when the data on telephone calls were used in the gravity model, the distance exponents in both Banweol's and Sungnam's equations were less than unity. Considering that many studies of migration, shopping trips, and intercity travel flows have placed the distance exponent at about 2, the exponents for Banweol and Sungnam were relatively small. This result indicates that when data on telephone calls are used, distance decay may be regarded as a minor barrier. 129 Third, regional origins of households could be closely related to personal interactions by telephone. A dominant example was the frequency of telephone calls between Sungnam and the Kwangju area, which was the origin of a large portion of Sungnam's residents. Fourth, mineral resources and convenient transportation facilities were shown to be closely related to interactions with the industrial new town. Examples were the greater than expected frequency of calls between Banweol and Kumsong, and between Banweol and Eonyang. Fifth, military cities were seen to be more closely related to the industrial new town than the residential new town. There were many more calls between the industrial new town and military cities than expected, whereas there were fewer calls between the residential new town and the military cities Osan and Pyongtaek. Finally, interactions by telephone calls were found to be more closely related to functions of the new towns. That is, the number of telephone calls were based more on the industrial or residential function of the new town. 130 CHAPTER NOTES 1 Martin Cadwallader, "Towards a Cognitive Gravity Model: The Case of Consumer Spatial Behavior," Regional Studies 15 (l981):275-76. 2 R. Abler, J.S. Adams, and P. Gould, Spatial Organization (London: Prentice Hall, 1972), p. 221. 3 Kingsley E. Haynes and A. Stewart Fotheringham, Gravity and Spatial Interaction Model (Beverly Hills: Sage Publications, Inc., 1984), p. 16. 4 P.E. White and R.I. Woods, "Spatial Patterns of Migration Flows," in The Geographical Impact of Migration, ed. Paul White and Robert Woods (London: London Group, Ltd., 1980), PP. 39-40. 5 Carl Hammer and F.C. Ikle, "Intercity Telephone and Airline Traffic Related to Distance and the Propensity to Interact," Sociometry 20 (1957): 314. 6 D.A. Krueckeberg and A.L. Silvers, Urban Planning Analysis: Methods and Models (New York: John Wiley & Sons, 1974), p. 298. 7 Dean S. Rugg, Spatial Foundations of Urbanism (Dubuque, Iowa: Wm. C. Brown, Co., 1979), p. 115. 8 T.H. Poister, Public Programs Analysis: Applied Research Methods (Baltimore: University Park Press, 1978), p. 456. 9 R. Abler, J.S. Adams, and P. Gould, op. cit., p. 225. 10 The Sungnam City Government, Develepment Plan in Sungnam (Sungnam: Sungnam City Government, 1983), p. 30. (In Korean). 11 Interview with professor Won Kim, Seoul City Industrial College, Seoul, 27 July 1983, and professor Ki- Suk Lee, Seoul National University, Seoul, 7 August 1983. 12 The Sungnan City Government, op. cit., p. 30. 13 Ibid., p. 102. 131 14 Unpublished data on the survey of daily trips of Sungnam's residents, 1983, the Sungnam City Government, Sungnam, Korea. (In Korean). 15 The Sungnam City Government, op. cit., p. 30. CHAPTER FIVE MEASUREMENTS OF GOAL ACHIEVEMENT IN SUNGNAM AND BANWEOL: INDUSTRIAL DIVESIFICATION AND ECONOMIC BASES This chapter reports some aspects of the goal achievement of the new towns of Sungnam and Banweol. As mentioned previously, the most important goal of new towns is to establish self-sufficient and balanced development in employment and living conditions. This chapter concentrates on an examination of self-sufficiency and balanced development in the economic structure of the two new towns, Sungnam and Banweol. In examining this goal achievement, two catgories are considered: (1) industrial diversification, and (2) basic and non-basic activities of the new towns. The industrial diversification within the new towns represents the internal structure of industrial composition, whereas basic and non—basic activities relate to the external structure, as well as the internal structure, of the economic bases of the new towns. Some Aspects of Industrial Diversification in the New Towns One goal of new town development is industrial diversification in terms of categories of industries and 132 133 employment in the industries. Gratton states the goal of new town development as: A diversified industrial structure is a major policy objective of the new town programme... New towns should be self-contained and balanced communities for working and living. Such balance can only be achieved through a diversified industrial structure. Only the manufacturing sector is dealt with in examining the degree of industrial diversification in this study. The degree of industrial diversification indicates the degree of inequality of distribution between industrial categories and employment. The idea of a diversified industrial structure for community development has been supported by many studies, such as those by Rodgers, Conkling, Clemente and Sturgis, Parr, Conroy, and Taylor. For explaining the industrial diversification based on industrial categories and employment, the Gini index is useful. The Gini index represents the degree of inequality of distribution between industrial categories and the number of employees of the industries in the new towns, based on the. Lorenz curve shown in Figure 5.1.4 The closer the Lorenz curve comes to the diagonal, the more even the spread of employment over the industrial categories. The Gini index measures the area between the diagonal of perfect equality and the Lorenz Curve. That is, it is defined as the ratio A/A+B, and ranges from O to 100. Zero means perfect equality of distribution (Industrial Cumulative share of total employment (Y) 134 09/ (be Cumulative share of numbers of industrial categories (X) Figure 5.1 Lorenz Curve. z~—: -' I‘ .— 135 diversification) and one hundred means perfect indquality (domination by a single firm). The Gini index (G) can be calculated by using the 5 following equation: 1 1 k (i-l, i /2"/2 E . . y_ 0:100 12;: Xi j=l Y3 + 3’: -__-3._ (5.1) % where, Xi = unit of categories of industries in a town Yi = cumulative share of employment Yj = length of parallel lines of trapezoids formed by plotting the adjacent cumulative Y values as functions of their corresponding cumulative X values. Poister suggested general categories of associations 6 between two variables from 0 to 100. The categories of the criteria are as follows: (a) 0: no association; (b) 1-9: negligible; (c) 10-29: low; (d) 30-49: moderate; (e) 50-69: substantial; (f) 70-99: very strong; and (g) 100: perfect asociation. This researcher adopted Poister's criteria for explaining the Gini index in this study. In general, the larger the size of a population in a city, the more diversified its industry. This is based on many studies which mentioned the city of the larger 7 population has more industrial diversification. The population of Sungnam is about eight times that of Banweol. In accordance with this situation the following hypothesis regarding industrial diversity states: ——.— _.~. ‘9. ”...—A 6A 136 The degree of industrial diversification in Sungnam is larger than that of Banweol. In order to examine this hypothesis, degree of diversification of industries in Sungma and Banweol were studied using the Gini indexes. Industrial Diversification in Sungnam Industries in Sungnam were concentrated in three small industrial districts in the city (Figure 3.2). These industries were generally light industries. Data on industrial categories and employees of the industries in 1979, 1980, and 1982 were used for producing the Gini indexes. These industries were classified into fifty-five categories (three digit industrial categories) in Table 5.1 according to the U.S. Standard Industrial Classification ASEEL code of 1979. The Gini indexes in 1979, 1980 and 1982 are shown in Table 5.2 and the Lorenz curves are shown in Figure 5.2. These Gini indexes and Lorenz curves were produced by using the data on employment for each industrial category, which were ranked from smallest employment to largest employment.8 The percentage data are cumulative. Each industrial category has the same proportion, whereas employment in each industrial category has a different proportion based on the number of employees in each cateogory. 137 The value of the Gini index for 1979 was the largest, 56.834, whereas that of 1982 was the smallest, 54.666. These values were relatively large in explaining the inequality of industrial distribution. According to the criteria for association between two variables from 0 to 100 by Poister,9 degrees of industrial diversification in Sungnam in 1979, 1980 and 1982 were moderate. This means that the composition of industries in Sungnam was not highly diversified. However, the value of the Gini indexes decreased slightly over the period between 1979 and 1982. There were few changes in distribution of industrial categories and employment. In 1979, 147 firms in Sungnam had a total of 34,116 employees. In comparison with the number of firms and employees in Banweol, the average number of employees in each firm in Sungnam, 220, was much larger than that of Banweol at 68. Based on the two digit industrial classification, food, textile, primary metals, and electric and electronic products industries had large numbers of employees, more than 3,000, respectively. Based on the three digit industrial classification, bakery, knitting, footwear, nonferrous rolling, and communication equipment industries had large numbers of employees, respectively. This situation indicated that consumer goods, such as bakery, knitting and footwear products, were dominant among Sungnam's industries in 1979, based on Sungnam's large ATL3ACCL AAAA A.....AAA....A A AAA... 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A UbAcCAAnz; ------iiiAm .......... m ................ mm iiiiiiii m iiiiiiiiiiiiiii mmiiiiiiiii--M----------i-iii-------Amwwaiuwmmm ................ cam.N ANA.N N Nee.N NAN.N e mmo.N sAw.N e .AAcL esot_uucoz Am A Am A >AA:_:NPA Acou— Amm A AAtsz mom N Nvm N Avm o AooAm oAmo: >A1§AAL AoAOE moomoAmEu mEAAL Aons mwoonQEm mEAAL AcAoe imovonmEm mEAAL AnAATAU m. AnAAvAU NA icon AC .02 no .32 icon mo .02 A0 .C2 inzm A0 .02 A: .02 >AcasAc; >A:Tv_:; NmmA ommA mhmA AcALAm:U:A AtAAAm:C:A cochA::C EMAAXAJm AAA moA.2.3:AAks AsA AAw:N:_A A A.: mt:_<% 140 population. Meanwhile, plywood, miscellaneous chemicals, petroleum, iron foundries, miscellaneous metals, and household appliance industries, had very small numbers of employees. Most of these industries generally manufacture producer goods. Therefore, Sungnam was found to be dominant in the manufacture of consumer rather than producer goods. TABLE 5.2: Gini Indexes in Sungnam Index 1979 1980 1982 Gini 56.834 55.117 54.666 . In 1980, 160 firms in Sungnam employed a total of 33,227 persons. Although the number of firms increased in 1980, the number of employees decreased compared to 1979. The average number of employees of each firm in 1980 was smaller than in 1979. This was perhaps due to the serious economic recession at that time. Characteristics of composition of industries in 1980 were very similar to those of 1979. Bakery, knitting, footwear, nonferrous rolling, and communication equipment industries had larger numbers of employees, whereas miscellaneous chemicals, iron foundries, miscellaneous metals, metal working, and household applicance industries had small numbers of employees in 1980. 141 Cumulative Percent oi Employment 100 60 — Diagonal 40 1 900 20 L 0 20 40 60 BO 1 00 Cumulative Percent of Indusmal Categories Figure 5.2 Lorenz Curves Showrng Industrial DiverSiiication in Sungnam Cumulative Percent oi Employment 100 80 .. 60 l- 0 a l i gona 19“ 40 - 1902 20 P 1931 0 l l 1 0 20 40 60 80 100 Cumulative Percent of industrial Categories Figure 5.3 Lorenz Curves Showing industrial DiverSitication in BanweOI Cumulative Percent 0! Employment 100 80 60 40 20 Cumulative Percent of Industrial Categories Figure 5.4 Comparison oi Industrial Diversification between Sungnam and Banwe0i 142 In 1982, 165 firms in Sungnam had 36,236 employees. The number of firms and employees slightly increased in 1982 over 1980 and industrial distribution was the most diversified in 1982, according to the Gini index. The larger the size of the population in Sungnam, the more diversified its industry over time. The respective sizes of industrial categories, as to employment, were very similar to those of 1979 and 1980. That is, Sungnam was dominant in industries producing consumer goods, rather than producer goods. Industrial Diversification in Banweol All manufacturing firms in Banweol were concentrated in one industrial district. That industrial district has mainly light industries. Data on industrial categories and employees who worked in the industrial district in Banweol in 1981, 1982, and 1983, which were available for this study, were used for producing the Gini indexes. These industries were classified into sixty categories (three digit industrial categories) in Table 5.3 based on the SIC code of 1979. 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N.e N c:...c_ mzc._c.:c: NON m h—d v hm— m. _c.cE m..:...£:CZ mum c. mew e. «cw .. ......m ...”..5. .wwwe moo>m_¢sm mew.u .muoe mvo>c.aeu metqu _Muo& moo>c_dem ms..L ilwmuwwwc a. ~ W MM®~ CZ u: CZ ILDW ...C .02 MC .02 IDS” iao .CZ t—C .CZ >.CUL.€L Nam. .mm_ .wa.u;ni.tc_ «7...»: ...CC _C¢3:r.: c. 1.2.33.1»... .... suits. “mi? _c. . .15.:— z._:<._. 145 industries in Banweol were more diversified than those of Sungnam. This result did not support the hypothesis that the degree of industrial diversification in Sungnam is greater than that of Banweol. Even though the size of population in Banweol was one-eighth that of Sungnam, the composition of industries in Banweol was more diversified than that of Sungnam. Thus, the tendency for larger cities to have more diversified industry (manufacturing) was not supported by the experience of these new towns in the Seoul Metropolitan Region. Sungnam had larger differences between the number of employees in respective industrial categories than Banweol. For example, the five smallest industrial categories in terms of number of employees in Sungnam in 1982 had 41, 50, 53, 56 and 70 employees each, respectively, whereas the five largest industrial categories in terms of number of employees had 3,675, 3,366, 2,939, 2,627, and 2,131 employees each, respectively. In contrast, Banweol had smaller differences in numbers of employees between industrial categories than Sungnam. For instance, the five smallest industrial categories in Banweol in 1982 had 12, 13, 27, 28 and 62 employees each, respectively, while the five largest industrial categories had 1,668, 1,019, 695, 660, and 508 employees each, respectively. Banweol had a larger number of firms than Sungnam, but differences in employment among industrial categories in Banweol were smaller than those in Sungnam. These characteristics 146 reflected different degrees of industrial diversification between Sungnam and Banweol. In other words, industries in TABLE 5.4: Gini Indexes in Banweol Index 1981 1982 1983 Gini 46.907 43.992 40.870 Banweol were more diversified than those of Sungnam. The Gini indexes for Banweol decreased over the period from 1981 to 1983 indicating that the degree of industrial diversification in Banweol gradually increased over that time. In 1981, 188 firms in Banweol employed 12,178 workers. Distribution of employment in Banweol was much different from that of Sungnam. In contrast to Sungnam's dominance in manufacturing consumer goods, Banweol was dominant in manufacturing producer goods such as primary metals, machinery, electric and electronic products, and transportation equipment. Each of these industrial categories had more than one hundred employees. According to the three digit industrial classification, vehicle equipment, electrical industrial apparatus, nonferrous foundries, and basic steel products had the largest number of employees in comparison with other industrial categories . ,..4MJ§¢.~MU;.._ 147 in Banweol. In contrast, the industrial categories ‘of textiles, soaps and cleaners, pottery, and miscellaneous clay and glass products had considerably smaller numbers of employees. Banweol did not have any food and instrument products industries in 1982. The number of firms in Banweol increased from 188 in 1981 to 232 in 1982. These 232 firms in Banweol employed 15,979 persons. In 1982, the industrial categories of chemicals, primary metals, machinery, electric and electronic products, and transportation equipment had large numbers of employees in comparison with other industrial categories in Banweol. The number of employees in chemical products and transportation equipment increased especially remarkably over time. According to the three digit industrial classification, the category of vehicle equipment was the most dominant in number of employees in Banweol. This could be due to an emphasis on car-exports by the government. In 1983, 258 firms in Banweol had 17,927 employees. In comparison with Sungnam, the number of firms in Banweol was much larger but the total number of employees was much smaller than in Sungnam. Likewise, the average number of employees of each firm in Banweol was 68, much fewer than the 220 in Sungnam or a ratio of 3.4. The distribution of industries in Banweol in 1983 was the most diversified. The larger the population grew in Banweol, the more diversified 148 its industry became over time. In contrast to the slight increase of industrial diversification in Sungnam, the increase of industrial diversification in Banweol was rapid and became larger each year. The rapid industrial diversification may have been based on the development policy for Banweol, which emphasized moving small size industries from Seoul to Banweol. The majority of industries in Banweol were more evenly distributed with the average firm size smaller in number of employees than Sungnam in 1983. As mentioned previously, this situation causes diversification of industries in Banweol. On the other hand, the characteristics of the distribution of industrial categories in 1983 were similar to those in 1981 and 1982. That is, Banweol remained dominant in the manufacture of producer goods rather than consumer goods in 1983. Urban Economic Bases in the New Towns The economic base model classifies a region's economic activity into basic and non-basic activities. "Basic" means the economic activities for export from an urban center to other places in response to external demand, whereas the "non-basic" represents local economic activities in response to internal demands of the urban center. To measure the economic activities, the location quotient technique is used 10 because it is quick and requires little data. 149 The location quotient (LQ) is the ratio of an industry's share of the economic activity of an urban center to that industry's share of the national economy. That is, the location quotient can be expressed as: v-i IL. lr _ ________________ . .2 LQ — E / Eln (5 ) r E n where, LQ = location quotient E, = employment in industry i in town j 111' E = total employment in town j r E, = employment in industry i in the nation in E1 = total employment in the nation. Leigh identifies economic activities based on the value of the location quotient as: Activities, with location quotients above unity, are also basic economic activities, providing goods and services surplus to local demand, exporting them to external markets and channelling income into the local economy... Activities (with location quotients below one) are assumed to be satisfying less than the total local demands for the goods and services they produce (imports fill the gap). Norcliffe explains the implications of economic activity in 13 terms of a region's self-sufficiency. 150 It is generally assumed that a location quotient of unity indicates that a region is exactly self— sufficient. A value below one indicates net imports, while an amount above unity represents production surplus to local needs that is exported. Thus, the value of the location quotient above unity represents export activity (basic activity), whereas that below unity indicates local consumption or import activity (non-basic activity). A location quotient at unity indicates self-sufficiency in the town. In addition, local activity is assumed to depend on 14 export activity and to be proportional to it. For example, total activity (T) consists of basic activity (B) and non—basic activity (N). The resulting simple equation 15 can be expressd as: T = B + N (5.3) N = a.B (5.4) T = (l + a) B (5.5) In equation 5.5, the term, 1+a, is referred to as an economic base multiplier which measures the total impact of a unit of export activity. The basic activity (B ) of a ti town's employment (E ) in industry (i) can be calculated by ti 16 using the following equation. B = 1 - (l/LQ ) E , for LQ >1 (5.6) t' . 151 Based on equation 5.6, the basic activity can be calculated. Non—basic activity can then be produced by using equation 5.3. With the basic activity and the non-basic activity, the multiplier can be derived using equation 5.4 and used to anticipate future total activity in the town based on the equation 5.5. Using the location quotient technique, the economic bases of the two new towns, Sungnam and Banweol, were examined in order to determine their self-sufficiency. Economic Activities in Sungnam Based on Location Quotients For producing values of location quotients for Sungnam, available data on employment in twelve sectors of the economy in 1982 were used (Table 5.5). According to the calculations of location quotients using equation 5.2, ten out of twelve industrial categories have location quotients above unity, and two categories have values below unity. Of these ten categories, only the chemical and petroleum category has the value, 1.01, which is almost unity. So, this can be regarded as an industry which has a self-sufficient function. Nine categories are considered industries which have location location above unity. Of these nine categories, seven are manufacturing activities which have export functions. The consumer goods include food, textile and leather, lumber and furniture, printing 1532 .au..m..m.m mouox .cumoc o:~::m.a U.SOCOUm one .mmm..Nmm— .xoonumw> .mudummumbm .owZCmm . ma?— .00...C .x002.o¢> ..-...p. ... ....csa._p... as? .mma. .mzumum amendeUCH .y0.uum.c .m.uum:©c. .oozcmm on. .0 mo...0 wnk .mmo. .Emcocsm :. :c.a .coego_o>o: ..:¢6:uw>ou >u.U Emcocsm on? .Nca. .xuo.oou~o Hmauumsvcu mm.0x .mwumbmm .m.u.m:p:. no.0x .c oc...0 _c..:c; "mot.::m oooo.. omm.oN oooo.. .ae.ao. ooco.. oco.eNe.e. me... Lust... :6 .... mwc>»..LE; .....C... .ee.N. NNcm. ecv.e. mNN..m VNNm. em..me me.m. N...Nmm.e .c.:+ --- mN. c..c. NNN oNN.m mm.. ooeo. on.m o.ec. ..e.oco c:_ecc. \.:¢.:m.mcz --- mm. NmNc. eNm em..m ea.. N.m.. o.o.o. SNNo. emo.m.... e_mmc.:;2 \_ .... .01 --- NN. NN.c. 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Nee.NN. cast >..>.b0< OJ co.u m¢m>o.aem >ad>quu< 04 :o.. mom>o.mEm :OH. moo>o.QEm no..cowmcu U.mmm .0. iucac.¢ .0 .02 0.mmm LO. iHCQOLa .5 .02 i.000LL .c .02 .1...m:T:_ mc¢>c.csm mwo>c.QEm .omz:mm Emcmczm :0..mz : wc3CP 302 0:. c. .O;. m.:c..::0 :0. ....LC; ”m.m :;: 1 9 7 Export LQ = l l - Self- sufficient LQ < 1 2 5 Import On the other hand, food, retail and wholesale, and restaurant and lodging categories for Sungnam had export functions, while those of Banweol had import functions, based on the roles set for the new towns by the government (i.e., Sungnam is primarily residential and Banweol has a 157 manufacturing function in producer goods). Both Sungnam and Banweol have import functions in the medical care and public service categories. In other words, both new towns have weak medical and public services. Summary This chapter examined some aspects of goal achievements in new town development, which are diversified industrial composition, and urban economic bases for self-sufficiency. From the examination of the goal achievements, several major findings can be summarized. First, the result of examination of industrial diversification using the Gini indexes did not support the hypothesis that the degree of industrial diversification in Sungnam was larger than that of Banweol. Only the manufacturing sectors was dealt with in examining the degree of industrial diversification. This was hypothesized based on size of population. However, the results of examination based on the Gini indexes found the degree of industrial diversification in Banweol to be larger than that in Sungnam. One reason for a more diversified industrial composition in Banweol was the more evenly distributed industrial categories. Another reason was that industrial diversification had been more influenced by development policies for the new towns than by population size in new towns in the Seoul Metropolitan Region. More diversified 158 industrial composition in Banweol than in Sungnam was traceable, in part, to the development policy which emphasized moving only small-size industries from Seoul to Banweol. However, if Banweol had some large assembly plants, such as automobiles, ship building yards, and fertilizer plants, rather than small factories which produce only parts of automobiles and ships, the resulting industrial diversification would be different from the present situation. Second, industrial diversification has increased over time. In both Sungnam and Banweol, values of the Gini indexes have gradually decreased over time. This means that industrial diversification in Sungnam and Banweol has increased over a period of time. But the degrees of industrial diversification between Sungnam and Banweol are different. Values of the Gini indexes in Sungnam have slightly decreased over time, whereas those of Banweol have greatly decreased over time. The result is that industrial diversification in Banweol has been more rapid than in Sungnam over time. Third, concentrations of employment based on industrial categories were different between Sungnam and Banweol. Sungnam was dominant in manufacturing consumer goods such as food and textile products, whereas Banweol was dominant in manufacturing producer goods such as machinery and metal. ~3:w..:... “Lam 159 Fourth, both Sungnam and Banweol were found to have more export functions than import or self—sufficient functions. In the case of Sungnam, nine out of twelve industrial categories had export functions. In Banweol, seven out of twelve industrial categories had export functions. This also indicates that cities located around Seoul have more export functions than import functions. Fifth, both Sungnam and Banweol had import activities in service sectors such as medical care and public service. That is, the service sectors were weak in the new towns. Finally, considering all twelve categories together, it could be concluded that overall Sungnam was relatively more balanced in its economic base than Banweol. This was based on the values of location quotients and basic/non-basic ratios. This result represented that the economic base of Sungnam was more similar to that of the nation than Banweol's. However, according to industrial categories, the results of the examination in urban economic bases would be varied. Also, results would differ between planned cities, which have particular purposes, and naturally grown cities. 160 CHAPTER NOTES 1 Chris Gratton, "Industrial Diversification in New Towns," Urban Studies 16 (June 1979):157. 2 Allan Rodgers, "Some Aspects of Industrial Diversification in the United States," Economic Geography 33 (Jan. l957):16. Edgar C. Conkling, "South Wales: A Case Study in Industrial Diversification," Economic Geography 39 (July 1963):258-59. Frank Clemente and Richard B. Sturgis, "Population Size and Industrial Diversification," Urban Studies 8 (Feb. l971):65-68. John B. Parr, "Specialization, Diversification and Regional Development." The Professional Geographer 17 (November l965):22—23. Michael E. Conroy, "The Concept and Measurement of Regional Industrial Diversification," Southern Economic Journal 41 (January l975):492. J. Taylor, "A Definition of Industrial Diversification," Urban Studies 16 (June 1979):105. 3 Joe T. Darden, "The Residential Segregation of Blacks in Detroit, 1960-1970." International Journal Of Comparative Sociology 17 (March-June 1976):84. 4 Chris Gratton, op. cit., p. 159. J.T. Darden, A.S. Tabachneck, and R.J. Raine, "Algorithm 8: Graphic and Mathematical Descriptions of Inequality, Dissimilarity, Segregation or Concentration," Environment and Planning 12 (l980):230. 6 T.H. Poister, Public Programs Analysis: Applied Research Methods (Baltimore: University Park Press, 1978):456. 7 Frank Clemente and Richard B. Sturgis, op. cit., p. 65. Ronald W. Crowley, "Reflections and Further Evidence on Population Size and Industrial Diversification," Urban Studies 10 (Feb. l973):94. John P. Blair, "Population Size and the Extent of Industrial Diversification: A Comment," Urban Studies 13 (Feb. 1976):81. 8 Gini indexes and Lorenz curves were produced by using a computer program for Gini at the Michigan State University Computer Center. 9 Theodore H. Poister, op. cit., p. 456. 161 10 Andrew M. Isserman, "The Location Quotient Approach to Estimating Regional Economic Impacts," Journal of American Institute of Planners 43 (January l977):33. Lay J. Gibson and M.A. Worden, "Estimating the Economic Base Multiplier: A Test of Alternative Procedures," Economic Geography 57 (April l981):156. ll G.B. Norcliffe, "Using Location Quotients to Estimate the Economic Base and Trade Flows," Regional Studies 17 (June l983):l63. 12 Roger Leigh, "The Use of Location Quotients in Urban Economic Base Studies," Land Economics 46 (May 1970):202. 13 C.B. Norcliffe, op. cit., pp. 163-164. 14 Andrew M. Isserman, op. cit., p. 33. 15 Ibid., p. 34. 16 Ibid., p. 34. C.B. Norcliffe, op. cit., p. 164. 17 Dean S. Rugg, Spatial Foundation of Urbanism (Dubuque, Iowa: Wm.C. Brown Company Publishers, 1979), p. 184. Ray M. Northam, Urban Geography (New York: John Wiley & Sons, Inc., 1975), p. 154. James H. Johnson, Urban Geography (Oxford: Pergamon Press, Ltd., 1972), p. 70. John M. Mattila and W.R. Thompson, "The Measurement of the Economic Base of the Metropolitan Area," Land Economics 31 (August 1955):226. John W. Alexander, "The Basic-Nonbasic Concept of Urban Economic Functions," Economic Geography 30 (January 1954):259. CHAPTER SIX MEASUREMENTS OF GOAL ACHIEVEMENT IN SUNGNAM AND BANWEOL: JOB OPPORTUNITIES AND URBAN SERVICES This chapter also concerns self—sufficient and balanced development of the new towns, Sungnam and Banweol, in employment and living conditions. As mentioned previously, the most important goal of new towns is to explain self— sufficient and balanced development in employment and living conditions. This chapter concentrates on an examination of the following categories: (1) the extent of the new towns' self-sufficiency in providing job opportunities for their residents, and (2) the extent of the new towns' self— sufficiency in providing the urban services and facilities necessary to attract and retain residents. Specifically, the issues are the balance between job opportunities and job seekers in the new towns, and their urban services and facilities in comparison with Seoul. The Balance Between Job Opportunities and Job Seekers To maintain self—sufficient and balanced development of the new towns in employment and public services (including 162 . .. - .imlufit-Ef' -« 163 facilities), the new towns should provide appropriate job opportunities for their residents. If a new town supplies jobs in numbers corresponding to the demand for jobs by the residents of the new town, the residents can work within their local community. However, if the new town cannot supply adequate numbers of appropriate job opportunities for its residents, workers must commute to other places. In general, journeys within a new town are called "local journeys," whereas "crossing journeys" are the sum of (l) journeys by a town's residents to other places to work and (2) journeys by outsiders to work in the new town. The ratio of local to crossing journeys represents an "index of l commuting independence." It can be simply expressed as: LC I _ IC + oc (6.1) where: I = index of cummuting independence LC = the number of local commuters IC = the number of commuters crossing to the town CC = the number of commuters crossing from the town The higher the value of the index of commuting independence, the more self-sufficient and balanced the town. Using the value of the index, therefore, the 164 self-sufficiency of the new towns was examined. As previously noted, Banweol had a dominant industrial base that provided job opportunities for its residents, whereas Sungnam had a dominant residential role for its residents. Another aspect was that Banweol is located farther from the mother city of Seoul (35 km) than Sungnam (20 km). Generally, the longer the distance the smaller the number of commuters. Based on these functions and locations of the new towns, the hypothesis regarding the index of commuting independence was expressed as: The value of the index of commuting independence for Banweol is higher than that of Sungnam. Index of Commuting Independence for Sungnam The numbers of commuters crossing between Sungnam and other places are shown in Table 6.1. Seoul, Inchon, Suwon, and Gwangju were the major job destinations of Sungnam's crossing commuters. Of the four, Seoul was easily the most dominant, as the destination or origin of 89.1 percent of total commuters. In 1982, the total number of employed persons in Sungnam was 109,4912 and the number of crossing commuters was 53,210. The number of local commuters, therefore, could be inferred as 56,281, which was calculated by subtracting the number of crossing commuters from the total number of employed persons in Sungnam. 165 TABLE 6.1: Daily Commuters Crossing to and from Sungnam, 1982 Gwanju Seoul Inchon Suwon Township Others Total From Sungnam 41,514 1,060 2,254 127 1,625 46,580 To Sungnam 3,801 110 289 284 2,146 6,630 Combined Crossing Journeys 45,315 1,170 2,543 411 3,771 53,210 SOURCE: Transportation Department of the Sungnam City Government, "Unpublished Data on Commuters," 1982. Development Plan in Sungnam, 1983. The index of commuting independence for Sungnam produced by the equation 6.1 was thus 1.058. The value of the index was relatively small because the proportion of crossing commuters represented almost one—half the total of employed persons, demonstrating that Sungnam could not provide sufficient job opportunities for its residents. At the same time, the ratio of workers commuting from Sungnam to other places to workers commuting from other places to Sungnam confirmed the relative lack of job opportunities in Sungnam. That is, the number of commuters from Sungnam to other places was 7.0 times larger than the number commuting to Sungnam from other places. Since the majority of out- commuters from Sungnam travelled to jobs in Seoul, the new 166 town of Sungnam must still be considered dependent on Seoul for employment. Index of Commuting Independence for Banweol The numbers of commuters crossing to and from Banweol are shown in Table 6.2. The four cities of Seoul, Anyang, Inchon, and Suwon were major sources of employment for commuters who crossed from Banweol and provided some workers who crossed to Sungnam. Seoul was the most dominant source of jobs for workers from Banweol, as was the case for Sungnam. The total number of employed persons in Banweol was 20,390 in 1982.3 Given that the number of crossing commuters total 7,618 (See Table 6.2), the number of local commuters (by subtraction) was 12,772. By using the same equation (6.1), the index of commuting independence for Banweol was calculated to be 1.677, which indicates the ratio of local commuters to crossing commuters. The index of commuting independence for Banweol of 1.677 was greater than that of Sungnam at 1.058, indicating that Banweol was more self-sufficient in employment lthan Sungnam. This result supports the hypothesis that the value of the index of commuting independence in Banweol, with its industrial functions, would be higher than that of Sungnam. 167 TABLE 6.2: Daily Commuters Crossing to and from Banweol, 1982 Seoul Anyang Inchon Suwon Others Total To Banweol 3,790 1,529 681 504 307 6,811 From Banweol 347 188 63 90 119 807 Combined Crossing Journeys 4,137 1,717 744 594 426 7,618 SOURCE: The Office of Banweol Industrial District, Industrial Status, 1982, Guideline for Industries, 1983. The commuting pattern for Banweol was also different from that of Sungnam. Banweol had 8.4 times more in- commuters than out-commuters, that is, a much larger number of non-local persons coming into Banweol to work than the number of local persons leaving Banweol to work elsewhere, whereas Sungnam had just the opposite. Banweol provided more job opportunities than needed by its residents, whereas Sungnam provided fewer job opportunities than needed. This result reflects the observation that Banweol is a predominantly industrial new town providing sufficient job opportunities, whereas Sungnam is a predominantly residential new town providing insufficient job opportunities. 168 Comparison of Urban Services and Facilities between the New Towns and Seoul As noted earlier, one of the government's primary objectives in promulgating new towns is to relieve the industrial and population pressure on Korea's capital of Seoul that is straining its infrastructure and reducing its quality of life. In this regard, the quality and quantity of urban services and facilities provided in the new towns are important in inducing Seoul's residents and industries to move into the new towns. Accordingly, comparisons were made of urban services and facilities between each new town and Seoul. Components compared were: education, health and recreation, transportation, and housing, because these are the essential urban services and facilities. Educational Facilities One way to measure educational facilities could be to deal with a ratio of classrooms to a number of classes. In order to examine the sufficiency of educational facilities in the new towns, the 1982 ratios of numbers of classrooms to numbers of classes in elementary, middle and high schools, were obtained for Seoul, Sungnam and Banweol. The ratios for the new towns were then compared with those of Seoul at all three levels (Table 6.3). A ratio value greater than unity indicated that the new town provided 169 Table 6.3: Comparison of Educational Facilities and Matriculating Ratios (1982) School Seoul Sungnam Banweol Classes 19,001 901 105 Classrooms 15,372 602 92 Facility Ratio 0.809 0.668 0.876 Elementary ------------------------------------------------- Graduates 189,672 7,057 547 Matriculates 188,692 6,756 531 Matriculating Ratio 0.995 0.957 0.971 Classes 7,832 282 6 Classrooms 7,856 329 16 Facility Ratio 1.003 1.167 2.667 Middle ------------------------------------------------- Graduates 155,804 4,590 - Matriculates 147,959 4,480 - Matriculating Ratio 0.950 0 976 - Classes 4,279 176 6 Classrooms 5,584 171 9 Facility Ratio 1.305 0.972 1 500 High ------------------------------------------------- Graduates 77,776 2,870 - Matriculates 42,476 351 — Matriculating Ratio 0 546 0.122 - SOURCE: Seoul Statistical Yearbook, 1982. Development Plan in Sungnam, Yearbook, 1983. 1982 and 1983. Banweol Statistical 170 sufficient classrooms, whereas a ratio value less than unity revealed that the new town had insufficient classrooms. All ratios for elementary schools in Seoul, Sungnam and Banweol were less than unity, indicating common shortages of educational facilities at this level in all three places. Shortages were most severe in Sungnam which had the lowest ratio (1:0.668) and least severe in Banweol where a 0.876 ratio prevailed. That is, one elementary class in Banweol had 0.876 classroom, whereas that of Sungnam had 0.668 classroom. The practical consequences of this is that the class day has to be split into shifts to accommodate all the students. The classrooms per class in Banweol was greater than in Seoul, but the classrooms per class in Sungnam were smaller than in Seoul. In contrast, Sungnam, Banweol, and Seoul supplied sufficient middle school classrooms, with rates of 1.167, 2.667 and 1.003, respectively. The new towns have values greater than Seoul. Particularly, Banweol has more than sufficient educational facilities at the middle school level, perhaps indicating that authorities anticipate rapid increases in population. Banweol and Seoul also has ratios above unity for high schools, whereas Sungnam had a value below unity: 1.500, 1.305, and 0.972, respectively. The ratio for Banweol was greater than that for Seoul, but the ratio for Sungnam was smaller than that for Seoul. Thus, Banweol supplies more 171 sufficient educational facilities at all levels compared to Seoul, but Sungnam provides less sufficient educational facilities than Seoul. Only at the middle school level was Sungnam superior to Seoul. The matriculating ratios for Seoul, Sungnam, and Banweol, by elementary, middle and high schools, are also shown in Table 6.3. The matricultating ratio is the ratio of the number of matriculants to the number of graduates at elementary, middle and high school levels. Matriculants are those who go on to the next level of education. The matriculating ratio of elementary schools in Seoul was slightly (0.991) greater than those of the two new towns (0.957 for Sungnam and 0.971 for Banweol). However, in the case of middle schools, the matriculating ratio of Sungnam (0.976) was slightly greater than that of Seoul. The matriculating ratio of middle schools in Banweol in 1982 could not be calculated because one middle school was so new it had not provided any graduates until that year. The matriculating ratio for high schools in Seoul (0.546) was much greater than that of Sungnam (0.122). The high school level showed a big difference in the matriculating ratios between Seoul and the new town. The matriculating ratio at the high school level has a more important meaning than those at elementary and middle school levels, because the expenses for college education are much 172 greater than those for middle and high schools. In Korea, compulsory education applies only to elementary schools. The matriculation ratio for high schools in Banweol also could not be produced because one high school there did not have any graduates until 1982. In general, however, Banweol has supplied more sufficient educational facilities than Seoul, whereas Sungnam has provided less sufficient educational facilities than Seoul. But, Seoul generally had greater values of matriculating ratios than the new towns. This is not surprising, given the relative youthfulness of the new towns. As a result, Banweol has come closer to achieving its goal of providing sufficient educational facilities, compared with Sungnam. Health and Recreational Facilities Health and recreational facilities include theaters, stadiums, billiard halls, hospitals, doctor's offices, dentist's offices, and drugstores in this study. The number of facilities and the number of residents per facility in Seoul, Sungnam and Banweol in 1982 are shown in Table 6.4. The larger the number of residents per facility, the less sufficient the urban services and facilities. Banweol did not have any theaters, stadium, and hospitals until 1982. Furthermore, Banweol had the greatest number of residents per health and recreational facility. This means that urban services and facilities in Banweol were not yet well 173 .Nmm. .xoonbmm> Hmoepmabmum Hoozcmm .mmma .Emcmczm c. swam ucwEQoao>oQ .Nmma .xoonumo> HMUHHmHNmum asoom ”mmOmDOm Nmm.m N 0mm.N mm. .mm.. N.e.e mmuo.mosue Nmm.oN N .Nm..m N. emm.e mm... m..m..cmo mmm.m. m mo... mm eom mom.m m.uo.uoa maoz maoz Nm4.mN. m mem.we 0.. m.mu.amo: mam.m. m .mm.N. mN mwN.N oom.m m..m: 6pm....m 6:02 6:02 nee.eem . moo.me..N e was.6m.m maoz ecoz mmN.mN m mmN.mo. em mumbmmce Nu... umnesz Nu... umoesz >u... umnesz mm.....omu iomm mom iomm mom loom Mom mpcocflmom mpcmpflmmm mDC®UHmom mo .02 mo .02 wo .oz Hoozcmm smoocsm .Soom mofluflaaumm Hmcoflpmouoom pom space: mo comHMmQEOO "v.0 me