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How Digital Skills Affect Rural Labor Employment Choices? Evidence from Rural China

Author

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  • Zhenli Zhang

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Yong Xia

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Kahaer Abula

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

Expanding employment channels for rural households is a crucial means of enhancing the income of rural residents and enhancing the quality of rural employment. This study examines the impact of digital skills on rural laborers’ employment choices and explores the underlying mechanisms by using data from the China Family Panel Studies (CFPS) spanning 2014–2018. By employing various models, including the Probit, IV, mediated effects, and propensity-score-matching methods, the study reveals that digital skills have a significant impact on rural laborers’ employment choices. Specifically, digital skills increase rural labor’s employment opportunities in nonfarm and employed employment while reducing the proportion of informal employment. Additionally, the analysis indicates that the main channels through which digital skills influence rural labor’s employment choices are human and social capital. A heterogeneity analysis further reveals that work-study and social-entertainment skills have a more significant effect on rural laborers’ nonfarm and employed employment opportunities while inhibiting informal employment. Hence, to enhance the quality of future rural employment, the government must encourage rural workers to enhance their digital literacy and digital application skills while improving digital infrastructure.

Suggested Citation

  • Zhenli Zhang & Yong Xia & Kahaer Abula, 2023. "How Digital Skills Affect Rural Labor Employment Choices? Evidence from Rural China," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6050-:d:1112714
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    1. Elkhan Richard Sadik-Zada & Wilhelm Loewenstein & Yadulla Hasanli, 2021. "Production linkages and dynamic fiscal employment effects of the extractive industries: input-output and nonlinear ARDL analyses of Azerbaijani economy," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 3-18, April.
    2. Qiuyi Huang & Xiaoping Zheng & Ruimei Wang, 2022. "The Impact of the Accessibility of Transportation Infrastructure on the Non-Farm Employment Choices of Rural Laborers: Empirical Analysis Based on China’s Micro Data," Land, MDPI, vol. 11(6), pages 1-15, June.
    3. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    4. Ajay Agrawal & John Horton & Nicola Lacetera & Elizabeth Lyons, 2015. "Digitization and the Contract Labor Market: A Research Agenda," NBER Chapters, in: Economic Analysis of the Digital Economy, pages 219-250, National Bureau of Economic Research, Inc.
    5. Chen, Xi & Ge, Suqin, 2018. "Social norms and female labor force participation in urban China," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 966-987.
    6. Sebil Olalekan Oshota, 2019. "Technology Access, Inclusive Growth and Poverty Reduction in Nigeria: Evidence from Error Correction Modeling Approach," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(2), pages 1-22, November.
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    1. Jianling Qi & Huanjiao Li & Wenlong Li & Jing Jin & Feng Ye, 2024. "The Influence of Digital Skills on Farm Households’ Vulnerability to Relative Poverty: Implications for the Sustainability of Farmers’ Livelihoods," Sustainability, MDPI, vol. 16(19), pages 1-18, September.

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