Study on influencing factors of professionalization of migrant workers in construction industry based on logistic regression model

Xiaoyu He; Donghua Zhu; Yanjing Zhao; Tingting Liu

doi:10.1117/12.2638747

17 May 2022 Study on influencing factors of professionalization of migrant workers in construction industry based on logistic regression model

Xiaoyu He, Donghua Zhu, Yanjing Zhao, Tingting Liu

Author Affiliations +

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122592N (2022) https://doi.org/10.1117/12.2638747
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

The construction of migrant workers professionalize-tion is the inevitable trend of the current construction industry development, by collating and analyzing the related literature at home and abroad, the article puts forward the theory model of the development of the construction workers professional and 10 factors affecting the development of construction workers professional, and using the Logistic regression model analysis that it is concluded that the six key factors: Age, education level, vocational skills training, labor contract signing, social security participation and full-time degree, finally puts forward targeted development countermeasures and suggestions to enhance the attraction of the construction industry, popularize the formal employment mode, improve the technical training system.

Citation Download Citation

Xiaoyu He, Donghua Zhu, Yanjing Zhao, and Tingting Liu "Study on influencing factors of professionalization of migrant workers in construction industry based on logistic regression model", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122592N (17 May 2022); https://doi.org/10.1117/12.2638747

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