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Impacts of regional development strategies on growth and equity of Korea: A multiregional CGE model

Author

Listed:
  • Euijune Kim

    (Department of Urban Planning and Engineering, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, Korea 120-749)

  • Kabsung Kim

    (Samsung Economic Research Institute, Kukje Bldg, 191 Hangangro 2Ga, Yongsan-Gu, Seoul, Korea 140-702)

Abstract

This paper is concerned with the assessment of major regional development strategies such as the three Coastal area development strategies (East Coast Development, South Coast Development, and West Coast Development) and the Seoul-Pusan development corridor strategy in terms of efficiency and equity. Multiregional Computable General Equilibrium for Korea is developed to capture the economic impact of regional investment expenditures, estimating the time-series influences of regional development alternatives on economic growth, inflation, welfare, income distribution, and interregional economic inequality for ten periods. In a sense that the main point of concern in the national development planning of Korea is with the question of improvement of national competitiveness with more equitable interregional income distribution, it is necessary to promote the West Coast region rather than the Seoul-Pusan development corridor. The West Coast regional development can lead to substantial gain in GDP and reduction in regional income disparity. In a multinational economic perspective, this regional development is expected to contribute to the economic cooperation of Northeast Asia and to enhancing the joint comparative advantages between China and Korea. However, it might worsen the income inequality in the long run.

Suggested Citation

  • Euijune Kim & Kabsung Kim, 2002. "Impacts of regional development strategies on growth and equity of Korea: A multiregional CGE model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(1), pages 165-180.
    • Handle: RePEc:spr:anresc:v:36:y:2002:i:1:p:165-180
    Note: Received: September 1999/Accepted: September 2001
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    Citations

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    Cited by:

    1. Mardones D., Cristián, 2012. "Chile: building a computable general equilibrium model with an application to the Bío Bío region," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    2. Yuventus Effendi & Budy Resosudarmo, 2022. "Inter-regional System Of Analysis For East Asia: A Manual," Working Papers in Economics and Development Studies (WoPEDS) 202201, Department of Economics, Padjadjaran University, revised Oct 2022.
    3. Raphael BAR-EL & Dafna SCHWARTZ, 2003. "Economic Growth, Inequality And Spatial Demographic Distribution: A Brazilian Case," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 18, pages 147-170.
    4. Sebestyén, Tamás, 2017. "Moving beyond the iceberg model: The role of trade relations in endogenizing transportation costs in computable general equilibrium models," Economic Modelling, Elsevier, vol. 67(C), pages 159-174.
    5. Anping Chen & Nicolaas Groenewold, 2013. "The national and regional effects of fiscal decentralisation in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 731-760, December.
    6. Hiroshi SAKAMOTO, 2012. "CGE Analysis of Transportation Cost and Regional Economy: East Asia and Northern Kyushu," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 121-140, June.
    7. Douglas R Gress, 2015. "Knowledge bases, regional innovation systems, and Korea's solar PV industry," Environment and Planning C, , vol. 33(6), pages 1432-1449, December.
    8. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    9. Jin-Feng Zhou & Juan Wu & Wei Chen & Dan Wu, 2022. "Carbon Emission Reduction Cost Assessment Using Multiregional Computable General Equilibrium Model: Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 14(17), pages 1-26, August.
    10. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    11. Inyong SHIN & Eiji YAMAMURA & Hyunho KIM, 2012. "The Cubic Form Hypothesis And The Flying Geese Pattern Hypothesis Of Income Distribution: The Case Of Korea," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 7(3), pages 5-23, August.
    12. Resende, Paulo & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D., 2004. "Free Trade and Transportation Infrastructure in Brazil: Towards an Integrated Approach," MPRA Paper 43068, University Library of Munich, Germany.
    13. Euijune Kim & Euijune Kim & Sung Woong Hong & Soo Jung Ha, 2003. "Impacts of national development and decentralization policies on regional income disparity in Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 79-91, February.
    14. Sakamoto, Hiroshi, 2013. "Study of Regional Disparity in Indonesia Using a Multi-region CGE Model," AGI Working Paper Series 2013-01, Asian Growth Research Institute.
    15. Nowook Park & Rohini Somanathan, 2004. "Patronage in public administration: Presidential connections, position assignments and the performance of Korean public prosecutors, 1992-2000," Discussion Papers 04-02, Indian Statistical Institute, Delhi.
    16. Budy P. Resosudarmo & Abdurohman & Arief A. Yusuf & Djoni Hartono, 2021. "Spatial impacts of fiscal stimulus policies during the 2009 global financial crisis in Indonesia," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 305-326, February.
    17. Euijune Kim & Yasir Niti Samudro, 2017. "The impact of intergovernmental transfer funds on interregional income disparity in Indonesia," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(1), pages 22-40, January.

    More about this item

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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