Analysis of influencing factors of rural labor force participation in new employment patterns——Based on the empirical research of Harbin

Wenhui Gou () and Yonghui Deng ()
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Wenhui Gou: Harbin University of Commerce, College of Public Finance and Administration
Yonghui Deng: Harbin University of Commerce, College of Public Finance and Administration

A chapter in Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023), 2023, pp 292-301 from Springer

Abstract: Abstract Since the outbreak of the new crown epidemic in late 2019, the global economy has experienced sluggish growth and downward pressure on our economy has increased. This has not only had a huge impact on traditional contact consumption, but has also had a serious impact on employment in our economy. For labour employment, the iterative upgrading of industries, the widening of employment channels and the increased flexibility of the labour market have broken the inherent perception of labour and overturned traditional forms of employment, with new employment forms rapidly emerging with their characteristics such as flexibility in the form of employment. New forms of employment such as platform employment, innovation and entrepreneurship and flexible employment have emerged on this basis. This economic development model has made an important contribution to the solution of rural labour force employment. Based on data from 550 case interviews in Harbin, this paper uses a binary logistic regression model to empirically analyse the factors influencing rural labour force participation in new employment patterns.

Keywords: Rural labour force; New employment patterns; Employment; Logistic regression analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-344-3_34

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DOI: 10.2991/978-94-6463-344-3_34

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