Abstract

This paper develops a panel data fixed effect model to analyze the impact of the employment mobility of “Double First-class” college graduates on the rationalization of the industrial structure, advanced industrial structure, high-tech industrial structure upgrading, and industrial structure upgrading of the producer service industry. The results show that the mobility of graduates from “Double First-class” colleges and universities has a positive effect on upgrading the industrial structure of various provinces. The difference is that the mobility of “Double First-class” college graduates has a greater impact on the upgrading of the industrial structure of high-end producer services, but has a weaker impact on the structural upgrading of high-tech industries. There is a mismatch between the employment needs of “Double First-class” college graduates and the jobs provided by high-tech industries. The mobility of graduates from “Double First-class” colleges and universities has obvious differences in the promotion of industrial structure upgrading in different regions. Therefore, this paper proposes to increase investment in high-level human capital to promote the free flow of labor and other production factors across industries, sectors, and regions.

Highlights

  • Academic Editor: Luigi AldieriChina has gone through three industrial structural changes since the 1950s

  • Based on this article based on the data of the geographical mobility of employment of “Double First-class” college graduates from 2014 to 2019, this paper studies the impact of the graduate employment mobility of

  • Based on data on the employment mobility of “Double First-class” college graduates from 2014 to 2019, this paper develops a regression model of the employment mobility of “Double First-class” college graduates influencing industrial structure upgrading

Read more

Summary

Introduction

China has gone through three industrial structural changes since the 1950s. Changes in the industrial structure directly determine the speed of China’s economic growth. Human capital structure advancement promotes technological transformation and upgrading to achieve high-quality economic development. First-class universities and first-class disciplines are critical drivers of knowledge discovery and scientific and technological innovation, a source of advanced ideas and excellent culture, a foundation for cultivating all types of high-quality talent, and a critical support for economic and social development. This paper analyses whether China’s high-quality human capital structure can promote the upgrading of the industrial structure, based on the theory that the factor endowment structure is endogenous to the industrial structure. This article attempts to answer the following questions: Has high-quality human capital promoted the upgrading of China’s industrial structure? What are the differences in the impact of the unbalanced spatial distribution of high-quality human capital and structure on upgrading regional industrial structure? The final section summarizes the research results and provides policy recommendations, in addition to outlining future areas of research

Literature Review
Human Capital and Industrial Structure Upgrading
Factor Endowments and Industrial Structure Upgrading
Measurement Model Construction
The Explained Variable
Core Explanatory Variables
Control Variable
Data Sources and Descriptive Statistics
Benchmark Regression Analysis
Robustness Test
Regional Heterogeneity Analysis
Findings
Conclusions and Policy Implications

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.