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Rural Labor Absorption Efficiency in Urban Areas under Different Urbanization Patterns and Industrial Structures: The Case of China

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  • Liwen, Chen

    (Renmin University of China)

  • Zeng, Xiangquan

    (Renmin University of China)

  • Yumei, Yang

    (Beijing Forestry University)

Abstract

In this paper, we use Data Envelopment Analysis (DEA) to estimate how well China’s urban areas absorb migrant workers under the interaction of urbanization and industrialization. We applied an output-oriented BCC model to evaluate provincial and regional rural labor absorption efficiency in mainland China. It appears that 4 out of 31 provinces and municipals are efficient, and 2 out of 8 economic regions are efficient in absorbing migrant workers. In the southern and eastern parts of China, urban labor absorption efficiency is higher compared with the western and northern parts of China. Different urbanization patterns and industrial development strategies should be adopted in different economic areas to enhance labor absorption ability in these areas. Urban areas in many parts of China still have potential to accommodate rural migrant workers. The inter-regional flow of production factors would affect urban labor absorption efficiency.

Suggested Citation

  • Liwen, Chen & Zeng, Xiangquan & Yumei, Yang, 2011. "Rural Labor Absorption Efficiency in Urban Areas under Different Urbanization Patterns and Industrial Structures: The Case of China," IZA Discussion Papers 6189, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp6189
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    References listed on IDEAS

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    More about this item

    Keywords

    rural labor absorption in urban areas; urbanization; industry structure; DEA;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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