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Urban Growth and Aggregate Growth in China

Author

Listed:
  • Ning Ma

    (Hainan College of Economics and Business)

  • Yanrui Wu

    (Business School, The University of Western Australia)

  • Jianxin Wu

    (Jinan University)

Abstract

Using a spatial equilibrium model and data of 286 Chinese cities at the prefecture and above- prefecture level from 2002 to 2013, this study estimates the contribution of each of the selected Chinese cities to national GDP growth. The results in this study reveal several interesting patterns. First, what an individual city contributes to aggregate growth is not represented clearly by the city’s GDP based on standard accounting calculation. Despite some of the strongest growth occurring in cities such as Beijing, Tianjin, Shanghai and Chongqing, these cities were only responsible for a small fraction of China’s growth over the period covered. In fact, the analysis shows that it is growth in the cities in the west that has made the greatest contribution to the overall growth of China. Furthermore, the analysis of the results shows that the dispersion of the real wage across Chinese cities increased. This increased wage dispersion lowered aggregate Chinese GDP by 25.41 percent. This represents a loss, which is an effect of the tightening of regulatory constraints to housing supply in high productivity cities like Beijing, Tianjin, Harbin, Shanghai, Wuhan, Changsha, Chongqing, Chengdu, and Xian. Finally, a counterfactual scenario whereby these cities under regulatory constraints are reduced to the same level as the national mean level suggests that Chinese GDP would increase by 20.62 percent.

Suggested Citation

  • Ning Ma & Yanrui Wu & Jianxin Wu, 2021. "Urban Growth and Aggregate Growth in China," Economics Discussion / Working Papers 21-03, The University of Western Australia, Department of Economics.
  • Handle: RePEc:uwa:wpaper:21-03
    Note: MD5 = dc1a68a26f145816a830bb35e8d14e00
    as

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    References listed on IDEAS

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    Cited by:

    1. Pablo Durán-Santomil & Luís Otero-González, 2022. "Capital Allocation Methods under Solvency II: A Comparative Analysis," Mathematics, MDPI, vol. 10(3), pages 1-14, January.

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    More about this item

    Keywords

    Spatial Equilibrium; Urban Growth; Welfare; China;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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