How to promote urban employment in the process of local transformation and upgrading? -- Analysis based on principal component regression

In: SHS web of Conferences: open access proceedings in Social and Human Sciences, Band 192, S. 01005

Abstract

The possible unemployment in the process of industrial upgrading may affect the improvement of residents' well-being, so it is very necessary to study its influencing factors. Based on time series data from 2000 to 2019, this paper selects indicators that may affect urban labor employment from three dimensions: economic growth, structural change and technological progress, and further analyzes the factors affecting urban labor employment through principal component regression on this basis. The empirical results show that although economic growth factors can also have a positive effect on urban labor employment, its impact is not significant compared with the other two types of factors. Therefore, the government should combine various measures to promote employment, accelerate the transformation and upgrading of industrial structure at the same time, increase investment in independent research and development, improve the level of technological innovation, and should also focus on improving the quality of workers.