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Output Shocks In China: Do The Distributional Effects Depend On The Regional Source?

Author

Listed:
  • Anping Chen

    (School of Economics, Jinan University)

  • Nicolaas Groenewold

    (Economics Programme, University of Western Australia)

Abstract

The tension between growth and inequality in the process of economic development has been recognised in the research literature as well as in policy-making circles for many decades. In few countries in the modern world is this problem more acute than in China where inter-provincial disparities are large by world standards and where remarkable economic growth in the past three decades has tended sooner to widen than to narrow them. Not surprisingly, the source of such inter-provincial disparities in China has been the subject of considerable research. Yet we have relatively little empirical knowledge of the effects on the provincial distribution of output of shocks to macroeconomic variables such as GDP. This is an important gap in the empirical literature: macroeconomic shocks are likely to have a differential impact on the provincial economies and so affect the provincial output distribution. Policy-makers need to know the sign, size and timing of such effects before making policy decisions designed to influence output at the national or regional level. In this paper we focus on the regional source of national shocks and ask whether the effect at the provincial level depends on the regional source of the shock. We use two alternative methods for this. The first is one recently employed by Chen and Groenewold (2015) to analyse the provincial effects of shocks to national output and investment using a restricted VAR model due to Lastrapes (2005). The method extends their work by disaggregating national GDP into three regional outputs – for the coastal, central and western regions of China. Our second method uses a sequence of VAR models, each with three regional outputs and one provincial output. We find that the two methods give remarkably similar results – both provide strong evidence that a shock to a particular region’s output has its main effects on the provinces in that region, although this is more marked in the short run than in the long run and differs somewhat across regions. In particular, a shock to national output which originates in the coastal region has an affect mainly on the coastal provinces in both the short and long runs. Such a shock is therefore likely to exacerbate existing inter-provincial disparities. However, there is more diffusion of the effects of a central shock, particularly in the long run which may help alleviate disparities. A shock to the western region also generates spillover effects in the long run although these are to the coastal provinces and will therefore likely widen existing disparities.

Suggested Citation

  • Anping Chen & Nicolaas Groenewold, 2016. "Output Shocks In China: Do The Distributional Effects Depend On The Regional Source?," Economics Discussion / Working Papers 16-20, The University of Western Australia, Department of Economics.
  • Handle: RePEc:uwa:wpaper:16-20
    Note: MD5 = 3b30cddee22a5f67558f26e66382b506
    as

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    References listed on IDEAS

    as
    1. Johan Lyhagen & Johanna Rickne, 2014. "Income inequality between Chinese regions: newfound harmony or continued discord?," Empirical Economics, Springer, vol. 47(1), pages 93-110, August.
    2. Françoise Lemoine & Grégoire Mayo & Sandra Poncet & Deniz Ünal, 2014. "The Geographic Pattern of China's Growth and Convergence within Industry," Working Papers 2014-04, CEPII research center.
    3. Fleisher, Belton & Li, Haizheng & Zhao, Min Qiang, 2010. "Human capital, economic growth, and regional inequality in China," Journal of Development Economics, Elsevier, vol. 92(2), pages 215-231, July.
    4. Chen, Anping & Groenewold, Nicolaas, 2018. "The regional effects of macroeconomic shocks in China," China Economic Review, Elsevier, vol. 48(C), pages 139-154.
    5. Gerald A. Carlino & Robert H. DeFina, 1997. "The differential regional effects of monetary policy: evidence from the U.S. States," Working Papers 97-12, Federal Reserve Bank of Philadelphia.
    6. Chadi S. Abdallah & William D. Lastrapes, 2013. "Evidence on the Relationship between Housing and Consumption in the United States: A State‐Level Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 559-590, June.
    7. John KNIGHT, 2008. "Reform, Growth, and Inequality in China," Asian Economic Policy Review, Japan Center for Economic Research, vol. 3(1), pages 140-158, June.
    8. Chen, Anping, 2010. "Reducing China's regional disparities: Is there a growth cost?," China Economic Review, Elsevier, vol. 21(1), pages 2-13, March.
    9. Chan, Kenneth S. & Zhou, Xianbo & Pan, Zhewen, 2014. "The growth and inequality nexus: The case of China," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 230-236.
    10. Kuijs, Louis & Wang, Tao, 2005. "China's pattern of growth : moving to sustainability and reducing inequality," Policy Research Working Paper Series 3767, The World Bank.
    11. Andersson, Fredrik N.G. & Edgerton, David L. & Opper, Sonja, 2013. "A Matter of Time: Revisiting Growth Convergence in China," World Development, Elsevier, vol. 45(C), pages 239-251.
    12. Gu, Xinhua & Tam, Pui Sun, 2013. "The saving–growth–inequality triangle in China," Economic Modelling, Elsevier, vol. 33(C), pages 850-857.
    13. Maria Jesus Herrer�as & Javier Ord��ez Monfort, 2015. "Testing Stochastic Convergence across Chinese Provinces, 1952-2008," Regional Studies, Taylor & Francis Journals, vol. 49(4), pages 485-501, April.
    14. Wan, Guanghua & Lu, Ming & Chen, Zhao, 2006. "The inequality-growth nexus in the short and long run: Empirical evidence from China," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 654-667, December.
    15. Serhan Cevik & Carolina Correa-Caro, 2020. "Growing (un)equal: fiscal policy and income inequality in China and BRIC+," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 25(4), pages 634-653, October.
    16. Tian, Xu & Zhang, Xiaoheng & Zhou, Yingheng & Yu, Xiaohua, 2016. "Regional income inequality in China revisited: A perspective from club convergence," Economic Modelling, Elsevier, vol. 56(C), pages 50-58.
    17. Dan Zheng & Tatsuaki Kuroda, 2013. "The Role of Public Infrastructure in C hina's Regional Inequality and Growth: A Simultaneous Equations Approach," The Developing Economies, Institute of Developing Economies, vol. 51(1), pages 79-109, March.
    18. Lastrapes, William D., 2005. "Estimating and identifying vector autoregressions under diagonality and block exogeneity restrictions," Economics Letters, Elsevier, vol. 87(1), pages 75-81, April.
    19. Cuiping Zhu & Guanghua Wan, 2012. "Rising Inequality in China and the Move to a Balanced Economy," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(1), pages 83-104, January.
    20. Whalley, John & Zhang, Shunming, 2007. "A numerical simulation analysis of (Hukou) labour mobility restrictions in China," Journal of Development Economics, Elsevier, vol. 83(2), pages 392-410, July.
    21. Su, Jian & Jefferson, Gary H., 2012. "Differences in returns to FDI between China's coast and interior: One country, two economies?," Journal of Asian Economics, Elsevier, vol. 23(3), pages 259-269.
    22. repec:mcb:jmoncb:v:45:y:2013:i::p:559-590 is not listed on IDEAS
    23. Bai, Chong-En & Ma, Hong & Pan, Wenqing, 2012. "Spatial spillover and regional economic growth in China," China Economic Review, Elsevier, vol. 23(4), pages 982-990.
    24. Gerald Carlino & Robert Defina, 1998. "The Differential Regional Effects Of Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 572-587, November.
    25. Anping Chen & Mark D. Partridge, 2013. "When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1313-1331, September.
    26. Nicolaas Groenewold & Anping Chen & Guoping Lee, 2008. "Linkages between China’s Regions," Books, Edward Elgar Publishing, number 12710.
    27. Beckworth, David, 2010. "One nation under the fed? The asymmetric effects of US monetary policy and its implications for the United States as an optimal currency area," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 732-746, September.
    28. P. Fraser & G. A. Macdonald & A. W. Mullineux, 2014. "Regional Monetary Policy: An Australian Perspective," Regional Studies, Taylor & Francis Journals, vol. 48(8), pages 1419-1433, August.
    29. Nicolaas Groenewold & Anping Chen & Guoping Lee, 2010. "Inter-regional Spillovers of Policy Shocks in China," Regional Studies, Taylor & Francis Journals, vol. 44(1), pages 87-101.
    30. Canfei He & Yehua Dennis Wei & Xiuzhen Xie, 2008. "Globalization, Institutional Change, and Industrial Location: Economic Transition and Industrial Concentration in China," Regional Studies, Taylor & Francis Journals, vol. 42(7), pages 923-945.
    31. Pedro Cunha Neves & Sandra Maria Tavares Silva, 2014. "Inequality and Growth: Uncovering the Main Conclusions from the Empirics," Journal of Development Studies, Taylor & Francis Journals, vol. 50(1), pages 1-21, January.
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    More about this item

    Keywords

    provincial output distribution; regional shocks; regional disparities; economic growth; China;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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