DOI QR코드

DOI QR Code

Analysis of Factors Affecting the Spatial Distribution of Highly Educated Human Capital: Focusing on Master's and Doctorate Group

고학력 인적 자본의 공간적 분포에 미치는 요인분석 - 석·박사 집단을 중심으로 -

  • KIM, Soyoung (Dept. of Urban Planning and Engineering, Pusan National University) ;
  • KIM, Donghyun (Dept. of Urban Planning and Engineering, Pusan National University)
  • 김소영 (부산대학교 공과대학 도시공학과) ;
  • 김동현 (부산대학교 공과대학 도시공학과)
  • Received : 2021.05.28
  • Accepted : 2021.06.15
  • Published : 2021.06.30

Abstract

The purpose of this study is to examine the spatial distribution of highly educated human capital and to identify key factors affecting their spatial distribution. We analyzed the spatial concentration and inequality using Gini's coefficient and exploratory spatial data analysis and identified the economic and amenity factors to affect the spatial concentration of highly educated human capital using spatial regression model. The findings show that the spatial pattern of highly educated human capital is concentrated, imbalanced, and clustered in Capital region and part of Chungcheong and Gangwon region. The spatial concentration were more affected by economic factor than by amenity factors. This study provides some implication on the regional economic strategies to attract the human capital.

본 연구의 목적은 고학력 인적 자본 집단의 공간적 분포를 살펴보고 공간적 분포에 미치는 영향요인을 파악하는 것이다. 본 연구는 지니계수와 탐색적 공간자료분석을 통해 불균형과 공간적 집중정도를 살펴보았으며 공간회귀모형을 통해 고학력 인적 자본 집단의 분포에 미치는 경제적 요인과 어메너티 요인의 영향 정도를 확인하였다. 분석결과, 석·박사 집단 고학력 인적 자본은 불균등하게 분포하고 있으며 수도권을 중심으로 충남 및 강원 일부지역에서 군집을 형성하고 있는 것으로 나타났다. 석·박사 집단 고학력 인적 자본의 분포에 영향을 미치는 영향요인은 경제적 요인이 강하게 작용하고 있었다. 어메너티 요인은 석·박사 집단 고학력 인적 자본의 분포의 영향요인으로서 큰 역할을 하지 못하는 것으로 나타났다. 본 연구의 결과는 인적 자본을 유입하고자 하는 지역경제개발 정책에 있어 시사점이 있다.

Keywords

Acknowledgement

이 논문은 2020년도 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 기초연구사업임 (NRF-2020S1A3A2A01095064).

References

  1. Anselin, L. 1988. Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical Analysis 20(1):1-17. https://doi.org/10.1111/j.1538-4632.1988.tb00159.x
  2. Anselin, L. 1999. Interactive techniques and exploratory spatial data analysis. In: Longley et al.(eds.). Geographical information systems: Principles, techniques, management and applications. Geoinformation Int., Cambridge.
  3. Becker, G.S., 1994. Human capital: A theoretical and empirical analysis with special reference to education(3rd ed.). The University of Chicago Press.
  4. Berry, C.R. and E.L. Glaeser. 2005. The divergence of human capital levels across cities. Papers in Regional Science 84(3):407-444. https://doi.org/10.1111/j.1435-5957.2005.00047.x
  5. Cho, S.C. and U. Lim. 2010. Human capital externalities and urban wage: A hierarchical linear model. The Korea Spatial Planning Review 65:41-52 https://doi.org/10.15793/kspr.2010.65..003
  6. Choi, M., U. Kim. and J. Bang. 2003. Spatial dependence of apartment sale prices in Seoul: An application of spatial econometric Model. Korean Regional Science Association 19(3):61-80
  7. Choi, Y. and B. Lee. 2006. A Study on the estimation of land price considering characteristic of the adjacent land use and spatial autocorrelation in residential zone. Journal of Korea Planners Association 41(5):45-60
  8. Choi, Y. and J. Lee. 2014. Correlates between industries and zoning characteristics and environmental pollution employing spatial regression. Journal of Korea Planners Association 49(1):247-261 https://doi.org/10.17208/jkpa.2014.02.49.1.247
  9. Gu, H., X. Meng., T. Shen. and L. Wen. 2020. China's highly educated talents in 2015: Patterns, determinants and spatial spillover effects. Applied Spatial Analysis and Policy 13:631-648. https://doi.org/10.1007/s12061-019-09322-6
  10. Ha, J. 2019. Trends in the spatial distribution of human capital in the Seoul Capital area. Panel for Korean Economic Analysis 25(2):157-207
  11. Hur, Y. 2007. A study on the estimation of house price in regard of spatial effects. Housing Studies Review 15(4):5 -23
  12. Ingram, B.F. and G.R. Neumann. 2006. The returns to skill. Labor Economics 13:35-59. https://doi.org/10.1016/j.labeco.2004.04.005
  13. Jung, S.Y. 2013. A study on the determinants of productivity in Korean business services. Journal of Industrial Economics and Business 26(4):1659-1690
  14. Kang, D., 2018. Characteristics of interregional migration of the youth: Focusing on new graduates. Monthly Labor Review 158:7-18
  15. Kang, S. and S. Jo. 2011. Regional growth analysis by estimation of physical capital and human capital. The Korea Spatial Planning Review 68:3-24 https://doi.org/10.15793/KSPR.2011.68..001
  16. Koh, Y.W. 2018. The wage impact of graduates'interregional migration when moving from college to the first job: Focusing on interregional migration of graduates from non-metropolitan area. Monthly Labor Review 158:19-29
  17. Ki, J.H. and K.S. Hur. 2009. A Statistical analysis of formation and growth of human capital agglomerating cities: A quasi-experimental design-based inter -urban group comparative study. Journal of the Korean Urban Management Association 22(2):31-56
  18. Kim, B., D. Lee. and D. Son. 2017. A study on the effect of urban characteristics on regional population using spatial econometrics analysis. Korean Regional Science Association 33(3):21-30
  19. Kim, D. and U. Lim. 2010. An exploratory analysis of the spatial segregation of human capital in Seoul. Journal of the Korean Regional Science Association 26(2):41-53
  20. Kim, H.B. and D.W. Kim. 2000. Human capital and regional economic growth: An empirical analysis. Journal of the Korean Regional Science Association 16(2):67-81
  21. Kim, J.G. 2007. Measurement of regional human capital and the determinants of regional economic growth in Korea. Journal of Korean National Economy 25(4):1-29
  22. Kim, W. 2014. Disparity of human capital across regions: The impact of aging. Journal of the Korean Geographical Society 49(5):747-760
  23. Kim, W. and S. Hong. 2020. A study on the concentration of power couples in large cities. Seoul Studies 21(1):75-91
  24. Lee, H. and Y. Park. 2014. Human capital externalities of the educational achievement by distinct occupation classes in regional labor markets. The Korea Spatial Planning Review 81:133-155 https://doi.org/10.15793/kspr.2014.81..009
  25. Lee, W. and K.D. Lee. 2012. Spatial agglomeration of human capital in urban areas. Journal of Economic Studies 30(4):1-21
  26. Lee, H.Y., S.C. Cho. and U. Lim. 2011. Occupation-specific skills and human capital externalities in regional labor market. Journal of the Korean Regional Science Association 27(4):131-151
  27. Marshall, A. 1920. Principle of economics (8th ed). UK: Macmillan.
  28. Park, J.H. and H.Y. Lee. 2009. An analysis on human capital externalities Using hierarchical linear model. Journal of the Economic Geographical Society of Korea 12(4):627-644 https://doi.org/10.23841/egsk.2009.12.4.627
  29. Schultz, T. W. 1961. Investment in human capital. The American Economic Review 51(1):1-17.
  30. Shim, J. 2000. Accumulation of human capital and economic growth: Focused on Rucas'endogenous growth model. Journal of Industrial Economics and Business 13(2):193-208
  31. Shim, J. and E. Kim. 2012. Analysis of occupational mobility of college graduates. The Korea Spatial Planning Review 75:37-51 https://doi.org/10.15793/kspr.2012.75..003
  32. Shim, J.H. 2003. An effect of human capital on regional growth: A case of wide-area autonomous communities in Korea. Journal of Korea Planning Association 38(7):201-209
  33. Yang, Z. 2010. A robust LM test for spatial error components. Regional Science and Urban Economics 40(5) : 299-310. https://doi.org/10.1016/j.regsciurbeco.2009.10.001