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Is the discrimination against migrant workers tending toward zero in urban China?

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  • Mohammad Altaf‐Ul Alam
  • Xiaobo He

Abstract

The paper analyzes earnings differences between rural–urban migrants and urban workers in China to examine the proposition that discrimination against migrant workers is tending toward zero. Blinder‐Oaxaca decomposition is applied using the 2013 China Household Income Project (CHIP) database to find out the extent of discrimination against migrant workers. The results show the existence of wage difference between the two groups, however, most of the wage difference can be explained by observable characteristics implying that discrimination is on the wane. Assuming the urban worker's wage as a nondiscriminatory wage, the benchmark model shows that 82.9% of the wage difference can be explained by individual endowments. Furthermore, including occupation and industry variables the extended model can explain 91.8% leaving only 8.2% as the source of wage discrimination. Using the combined and Cotton (1988) method, the explanatory part is still very high (89.2% and 86.3%) although a bit lower than the previous method. To further support the proposition, we also do the same exercise using 2007 CHIP data that shows a higher percentage of discrimination (36.2%), implying that discrimination decreased in 2013 compared to 2007. A cautious review of similar literature also supports the view. In short, wage discrimination against migrant workers is tending toward zero in recent urban China.

Suggested Citation

  • Mohammad Altaf‐Ul Alam & Xiaobo He, 2022. "Is the discrimination against migrant workers tending toward zero in urban China?," International Studies of Economics, John Wiley & Sons, vol. 17(1), pages 65-81, June.
  • Handle: RePEc:wly:intsec:v:17:y:2022:i:1:p:65-81
    DOI: 10.1002/ise3.4
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    References listed on IDEAS

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    1. Ai, Chunrong & Sun, Li-Hsien & Zhang, Zheng & Zhu, Liping, 2024. "Testing unconditional and conditional independence via mutual information," Journal of Econometrics, Elsevier, vol. 240(2).

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