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China'S Employment And Rural Labor Migration

Author

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  • Somwaru, Agapi
  • Diao, Xinshen
  • Gale, H. Frederick, Jr.
  • Tuan, Francis C.

Abstract

This study examines the rural labor market in China based on the country's first national agricultural census. The analysis highlights distinct differences of employment by age, gender, educational level, size of the household, and size of land holdings. We use a generalized polytomous logits (GPL) framework to analyze the patterns of rural labor employment, capture the dynamic trends of the rural labor force, and gauge rural migration. The estimation results, based on more than 4 million records of rural persons, indicate that the land size followed by the education level and age are the main factors affecting the chances of rural labor force by employment categories.

Suggested Citation

  • Somwaru, Agapi & Diao, Xinshen & Gale, H. Frederick, Jr. & Tuan, Francis C., 2001. "China'S Employment And Rural Labor Migration," 2001 Annual meeting, August 5-8, Chicago, IL 20459, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20459
    DOI: 10.22004/ag.econ.20459
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    References listed on IDEAS

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    1. William L. Parish & Xiaoye Zhe & Fang Li, "undated". "Nonfarm Work and Marketization of the Chinese Countryside," University of Chicago - Population Research Center 95-6, Chicago - Population Research Center.
    2. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, December.
    3. Colin A. Carter, 1997. "The Urban-Rural Income Gap in China: Implications for Global Food Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1410-1418.
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    Cited by:

    1. SHI, Xiaoping & Heerink, Nico & Qu, Futian, 2007. "Choices between different off-farm employment sub-categories: An empirical analysis for Jiangxi Province, China," China Economic Review, Elsevier, vol. 18(4), pages 438-455.

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    Keywords

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