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Dynamic Labor Demand in China: Public and Private Objectives

Author

Listed:
  • Russell Cooper
  • Guan Gong
  • Ping Yan

Abstract

This paper studies dynamic labor demand by private and public manufacturing plants in China. It contributes along two dimensions. First, it uncovers the objectives of public enterprises and compares them to private enterprises. Second, it estimates adjustment costs of these plants and thus their (dynamic) labor demand. One of our principal findings is that public plants maximize the discounted present value of profits without a soft-budget constraint. There is strong evidence of both quadratic and linear firing costs at the plant level. Costs of adjusting hours are small and lower for private compared to public plants. The private plants operate with considerably lower quadratic adjustment costs. The higher quadratic adjustment costs of the public plants may reflect their internalization of social costs of employment adjustment. Domestic private plants and collective plants have about the same discount factor, much lower than state controlled plants.

Suggested Citation

  • Russell Cooper & Guan Gong & Ping Yan, 2010. "Dynamic Labor Demand in China: Public and Private Objectives," NBER Working Papers 16498, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16498
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    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
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out
    • P23 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Factor and Product Markets; Industry Studies; Population

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