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Research on the Effect of Digital Economy on Agricultural Labor Force Employment and Its Relationship Using SEM and fsQCA Methods

Author

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  • Fulian Li

    (School of Economics and Management, Shandong Agricultural University, Tai’an 271018, China)

  • Wuwei Zhang

    (School of Economics and Management, Shandong Agricultural University, Tai’an 271018, China)

Abstract

The development of the digital economy has alternative and complementary effects on employment in the agricultural labor force. While replacing a large part of the agricultural labor force, digital agricultural technology is also expected to create new jobs and multiply the economic development effect. Finally, it will have a large number of positive spillover effects on rural development. To better understand the effects and relationships of digital agriculture on agricultural labor employment in this process, we gathered microdata from 1098 agricultural laborers in 122 counties (cities and districts) of 16 cities in Shandong Province, China. Compared with previous research, the advantage of our study is that structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are jointly applied to assess the effects of digital agriculture on agricultural labor force employment and the combinatorial path of inter-effect relationships. The analysis results demonstrate that the effects of digital agriculture on agricultural labor force employment mainly include substitution, complementary, flywheel, agglomeration, structural, synergistic, and spillover effects. Through substitution and complementing effects in a chain reaction, which have effects through intermediate links, the first six effects can lead to spillover effects. We determine two modes with a total of eight configurations that can trigger the spillover effect of digital agriculture on agricultural labor force employment. Therefore, it is necessary to choose an effective combination of paths to improve the utilization rate of agricultural resources and promote the diffusion of improved agricultural technologies. If the positive effects of digital agriculture on agricultural labor force employment are reasonably exerted, the development of sustainable agriculture could be accelerated. This would promote the overall development of the agricultural labor force and lead to the revitalization of rural areas and the integration of urban and rural areas.

Suggested Citation

  • Fulian Li & Wuwei Zhang, 2023. "Research on the Effect of Digital Economy on Agricultural Labor Force Employment and Its Relationship Using SEM and fsQCA Methods," Agriculture, MDPI, vol. 13(3), pages 1-17, February.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:566-:d:1081284
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    References listed on IDEAS

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    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    3. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    4. Erik Brynjolfsson & Brian Kahin (ed.), 2002. "Understanding the Digital Economy: Data, Tools, and Research," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262523302, April.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    6. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    7. Jill RUBERY & Damian GRIMSHAW, 2001. "ICTs and employment: The problem of job quality," International Labour Review, International Labour Organization, vol. 140(2), pages 165-192, June.
    8. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    9. Meyer, Claas & Chen, Cheng & Matzdorf, Bettina, 2018. "Qualitative comparative institutional analysis of environmental governance: Implications from research on payments for ecosystem services," Ecosystem Services, Elsevier, vol. 34(PB), pages 169-180.
    10. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    11. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
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    1. Haifeng Wang & Guangsi Li & Yunzhi Hu, 2023. "The Impact of the Digital Economy on Food System Resilience: Insights from a Study across 190 Chinese Towns," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    2. Shuaichen Guo & Hongpeng Guo, 2024. "Development of Ecological Low-Carbon Agriculture with Chinese Characteristics in the New Era: Features, Practical Issues, and Pathways," Sustainability, MDPI, vol. 16(17), pages 1-25, September.
    3. Jin, Xing & Lyu, Kangyin, 2024. "The impact of digital economy on emerging employment trends: Insights from the China Family Panel Survey (CFPS)," Finance Research Letters, Elsevier, vol. 64(C).
    4. Zhenyu Qi & Yuezhou You, 2024. "The Impact of the Rural Digital Economy on Agricultural Green Development and Its Mechanism: Empirical Evidence from China," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    5. Hongjun Ni & Zhiwei Shi & Stephen Karungaru & Shuaishuai Lv & Xiaoyuan Li & Xingxing Wang & Jiaqiao Zhang, 2023. "Classification of Typical Pests and Diseases of Rice Based on the ECA Attention Mechanism," Agriculture, MDPI, vol. 13(5), pages 1-15, May.

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