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Optimal Urban Population Size: National vs Local Economic Efficiency

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  • Euijune Kim
  • Geoffrey Hewings
  • Kyung-Min Nam

Abstract

This paper explores whether the population size of the Seoul Metropolitan Area (SMA) in Korea is efficient in terms of the national economy. To undertake this analysis, a recursively dynamic interregional computable general equilibrium (ICGE) model with a population module is developed. In this model, the explicit costs and benefits of population growth are estimated by using the industrial value added and consumer price inflation functions for each region. The counter-factual analysis shows that national population decentralisation away from the SMA is desirable for Korea’s economic growth. Korea’s GDP is estimated to be maximised when the SMA’s national population share is at 39 per cent in the short term and 35 per cent in the long term. However, the SMA government is likely to have incentive to maintain its population at around 40 per cent of the national population, where per capita income at the regional, not national, level is maximised.

Suggested Citation

  • Euijune Kim & Geoffrey Hewings & Kyung-Min Nam, 2014. "Optimal Urban Population Size: National vs Local Economic Efficiency," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 428-445, February.
  • Handle: RePEc:sae:urbstu:v:51:y:2014:i:2:p:428-445
    DOI: 10.1177/0042098013489737
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    References listed on IDEAS

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    2. Yi, Yoojin & Kim, Euijune, 2018. "Spatial economic impact of road and railroad accessibility on manufacturing output: Inter-modal relationship between road and railroad," Journal of Transport Geography, Elsevier, vol. 66(C), pages 144-153.
    3. Xin Li & Kyung-Min Nam, 2017. "One country, two “urban” systems: focusing on bimodality in China’s city-size distribution," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 427-452, September.
    4. Anita Yadavalli & Jim Landers, 2017. "Tax Increment Financing: A Propensity Score Approach," Economic Development Quarterly, , vol. 31(4), pages 312-325, November.
    5. Euijune Kim & Dongyeong Jin & Hojune Lee & Min Jiang, 2023. "The economic damage of COVID-19 on regional economies: an application of a spatial computable general equilibrium model to South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(1), pages 243-268, August.
    6. Euijune Kim & Seung‐Woon Moon & Yoojin Yi, 2021. "Analyzing spillover effects of development of Asian highway on regional growth of Northeast Asian countries," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1243-1266, August.
    7. Bo‐sin Tang & Winky K.O. Ho & Siu Wai Wong, 2021. "Sustainable development scale of housing estates: An economic assessment using machine learning approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 708-718, July.
    8. Kyung-Min Nam, 2017. "Is spatial distribution of China’s population excessively unequal? A cross-country comparison," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 453-474, September.
    9. Yifu Ou & Euijune Kim & Xingjian Liu & Kyung-Min Nam, 2023. "Delineating functional regions from road networks: The case of South Korea," Environment and Planning B, , vol. 50(6), pages 1677-1694, July.
    10. Euijune Kim & Seung-Woon Moon & Shigemi Kagawa, 2019. "Spatial economic linkages of economic growth and air pollution: developing an air pollution-multinational CGE model of China, Japan, and Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(2), pages 255-268, October.
    11. Otilia Georgiana Floroiu, 2022. "An Analysis of the Economic and Social Factors Affecting Real Convergence in Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 230-239, September.

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