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Costly Labor Adjustment: Effects of China's Employment Regulations

Author

Listed:
  • Russell Cooper
  • Guan Gong
  • Ping Yan
Abstract
This paper studies the employment and productivity implications of new labor regulations in China. These new restrictions are intended to protect workers' employment conditions by, among other things, increasing firing costs and increasing compensation. We estimate a model of costly labor adjustment from data prior to the policy. We use the estimated model to simulate the effects of the policy. We find that increases in severance payments lead to sizable job creation, a significant reduction in labor reallocation and an increase in the exit rate. A policy of credit market liberalization will reduce employment, slightly increase labor reallocation and reduce exit. The estimated elasticity of labor demand is about unity so that an increase in the base wage leads to sizable job losses.

Suggested Citation

  • Russell Cooper & Guan Gong & Ping Yan, 2012. "Costly Labor Adjustment: Effects of China's Employment Regulations," NBER Working Papers 17948, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17948
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    References listed on IDEAS

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    1. Daniel S. Hamermesh & Gerard A. Pfann, 1996. "Adjustment Costs in Factor Demand," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1264-1292, September.
    2. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    3. 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.
    4. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    5. Hopenhayn, Hugo & Rogerson, Richard, 1993. "Job Turnover and Policy Evaluation: A General Equilibrium Analysis," Journal of Political Economy, University of Chicago Press, vol. 101(5), pages 915-938, October.
    6. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    7. Lucia Foster & John Haltiwanger & Namsuk Kim, 2006. "Gross Job Flows for the U.S. Manufacturing Sector: Measurement from the Longitudinal Research Database," Working Papers 06-30, Center for Economic Studies, U.S. Census Bureau.
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    Cited by:

    1. Kong, Dongmin & Liu, Shasha & Xiang, Junyi, 2018. "Political promotion and labor investment efficiency," China Economic Review, Elsevier, vol. 50(C), pages 273-293.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies

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