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Network effects on labor contracts of internal migrants in China: a spatial autoregressive model

Author

Listed:
  • Badi H. Baltagi

    (Syracuse University)

  • Ying Deng

    (University of International Business and Economics)

  • Xiangjun Ma

    (University of International Business and Economics)

Abstract

This paper studies the fact that 37% of the internal migrants in China do not sign a labor contract with their employers, as revealed in a nationwide survey. These contract-free jobs pay lower hourly wages, require longer weekly work hours, and provide less insurance or on-the-job training than regular jobs with contracts. We find that the co-villager networks play an important role in a migrant’s decision on whether to accept such insecure and irregular jobs. By employing a comprehensive nationwide survey in 2011 in the spatial autoregressive logit model, we show that the common behavior of not signing contracts in the co-villager network increases the probability that a migrant accepts a contract-free job. We provide three possible explanations on how networks influence migrants’ contract decisions: job referral mechanism, limited information on contract benefits, and the “mini-labor union” formed among co-villagers, which substitutes for a formal contract. In the subsample analysis, we also find that the effects are larger for migrants whose jobs were introduced by their co-villagers, male migrants, migrants with rural Hukou, short-term migrants, and less educated migrants. The heterogeneous effects for migrants of different employer types, industries, and home provinces provide policy implications.

Suggested Citation

  • Badi H. Baltagi & Ying Deng & Xiangjun Ma, 2018. "Network effects on labor contracts of internal migrants in China: a spatial autoregressive model," Empirical Economics, Springer, vol. 55(1), pages 265-296, August.
  • Handle: RePEc:spr:empeco:v:55:y:2018:i:1:d:10.1007_s00181-017-1333-3
    DOI: 10.1007/s00181-017-1333-3
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    Cited by:

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    2. Xingang Wang & Sholeh A. Maani, 2021. "Ethnic regional networks and immigrants' earnings: A spatial autoregressive network approach," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 141-168, February.
    3. Chuanmin Zhao & Xi Qu, 2022. "Social networks and internal migration in China: A spatial autoregressive model," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 1132-1163, May.
    4. Hong Chen & Jia Yu & Mingshuai Qin & Yangyang Wang & Lijian Qin, 2023. "Unlocking Opportunities for Migrant Workers in China: Analyzing the Impact of Health Insurance on Hukou Switching Intentions," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    5. Xingang Wang & Sholeh A. Maani & Alan Rogers, 2021. "Economic Network Effects and Immigrant Earnings," The Economic Record, The Economic Society of Australia, vol. 97(316), pages 78-99, March.
    6. Sylvanus Gaku & Emmanuel S. Tsyawo, 2021. "Neighbourhood effects and the incidence of child labour," Letters in Spatial and Resource Sciences, Springer, vol. 14(3), pages 247-259, December.

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    More about this item

    Keywords

    Contract; Co-villager network; Spatial autoregressive logit model; Internal migrants;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts

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