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Demographics and FDI: Lessons from China’s One-Child Policy

Author

Listed:
  • Rajnish Mehra

    (National Council of Applied Economic Research, New Delhi, Department of Economics, Arizona State University & NBER)

  • John Donaldson

    (Columbia Business School, Columbia University)

  • Christos Koulovatianos
  • Jian Li

    (Department of Economics, University of Luxembourg)

Abstract
Lucas (1990) argues that the neoclassical adjustment process fails to explain the relative paucity of FDI inflows from rich to poor countries. In this paper we consider a natural experiment: using China as the treated country and India as the control, we show that the dynamics of the relative FDI flows subsequent to the implementation of China’s one-child policy, as seen in the data, are consistent with neoclassical fundamentals. In particular, following the introduction of the one-child policy in China, the capital-labor (K/L) ratio of China increased relative to that of India, and, simultaneously, relative FDI inflows into China vs. India declined. These observations are explained in the context of a simple neoclassical OLG paradigm. The adjustment mechanism works as follows: the reduction in the (urban) labor force due to the one-child policy increases the savings per capita. This increases the K/L ratio and reduces the marginal product of capital (MPK). The reduction in MPK (relative to India) reduces the relative attractiveness of investment in China and is thus associated with lower FDI/GDP ratios. Our paper contributes to the nascent literature exploring demographic transitions and their effects on FDI flows.

Suggested Citation

  • Rajnish Mehra & John Donaldson & Christos Koulovatianos & Jian Li, 2018. "Demographics and FDI: Lessons from China’s One-Child Policy," NCAER Working Papers 112, National Council of Applied Economic Research.
    • Handle: RePEc:nca:ncaerw:112
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    References listed on IDEAS

    as
    1. George Constantinides & John Donaldson & Rajnish Mehra, 2007. "Junior is rich: bequests as consumption," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(1), pages 125-155, July.
    2. McGrattan, Ellen R. & Prescott, Edward C., 2009. "Openness, technology capital, and development," Journal of Economic Theory, Elsevier, vol. 144(6), pages 2454-2476, November.
    3. Lucas, Robert E, Jr, 1990. "Why Doesn't Capital Flow from Rich to Poor Countries?," American Economic Review, American Economic Association, vol. 80(2), pages 92-96, May.
    4. Chadwick C. Curtis & Steven Lugauer & Nelson C. Mark, 2015. "Demographic Patterns and Household Saving in China," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(2), pages 58-94, April.
    5. Kaiji Chen & Yi Wen, 2017. "The Great Housing Boom of China," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 73-114, April.
    6. Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    7. Marcos D. Chamon & Eswar S. Prasad, 2010. "Why Are Saving Rates of Urban Households in China Rising?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 93-130, January.
    8. Thomas J. Holmes & Ellen R. McGrattan & Edward C. Prescott, 2015. "Quid Pro Quo: Technology Capital Transfers for Market Access in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 1154-1193.
    9. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    10. Shang-Jin Wei & Xiaobo Zhang, 2011. "The Competitive Saving Motive: Evidence from Rising Sex Ratios and Savings Rates in China," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 511-564.
    11. Chong-En Bai & Chang-Tai Hsieh & Yingyi Qian, 2006. "The Return to Capital in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 37(2), pages 61-102.
    12. Wenxin Du & Alexander Tepper & Adrien Verdelhan, 2018. "Deviations from Covered Interest Rate Parity," Journal of Finance, American Finance Association, vol. 73(3), pages 915-957, June.
    13. Laura Alfaro & Sebnem Kalemli-Ozcan & Vadym Volosovych, 2008. "Why Doesn't Capital Flow from Rich to Poor Countries? An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 347-368, May.
    14. İmrohoroğlu, Ayşe & Zhao, Kai, 2018. "The chinese saving rate: Long-term care risks, family insurance, and demographics," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 33-52.
    15. Peter J. Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114, National Bureau of Economic Research, Inc.
    16. Albert Bollard & Peter Klenow & Gunjam Sharma, 2013. "India's Mysterious Manufacturing Miracle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 59-85, January.
    17. Albert Bollard & Peter Klenow & Gunjam Sharma, 2013. "India's Mysterious Manufacturing Miracle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 59-85, January.
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    More about this item

    Keywords

    Lucas paradox; capital-labor ratio; FDI-intensity; one-child policy;
    All these keywords.

    JEL classification:

    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical

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