Research on Influencing Factors of Urban People's Re-employment under Social Assistance System based on Data Mining

Yi Sun

《Frontiers in Economics and Management》 3卷9期 (2022/09) Pp. 192-197

https://doi.org/10.6981/FEM.202209_3(9).0021

摘要

With the wide application of information technology in the labor market and social security management, a large number of data on labor employment, unemployment, job search and recruitment have been accumulated in the labor security systems of various places. These data are massive and incomplete, but also very useful. Data mining technology can effectively analyze and sort these data, and provide timely and useful information for data users. This paper discusses how data mining technology can be applied to analyze the influencing factors of re employment. Then, it uses the binomial model Logit to analyze the impact of welfare supply factors and anti welfare dependence factors on the re employment of urban and rural unemployed poor people, and draws relevant conclusions. The results show that multiple welfare supply factors, such as the minimum living allowance years, the proportion of personal social assistance income and the proportion of family social assistance income, have significant negative effects on the reemployment behavior and willingness of urban and rural unemployed and poor people. Anti-welfare dependence factors have dual effects. Finally, some suggestions are given based on the relevant conclusions.

關鍵字

Data Mining ； Re-employment ； Social Assistance

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