Professor Yu Minggui, the co-director of the base ,has published a collaborative paper titled "Talent Introduction Policy, Optimal Allocation of Labor and Manufacturing Intelligence" in the fifth issue of China Industrial Economy in 2024. China Industrial Economy is a Class A journal recognized by the university's academic journals.

Abstract：The report of the 20th CPC National Congress pointed out that we should adhere to the guidance and drive of talents to accelerate the construction of a talent power, and actively promote new industrialization to speed up the construction of a manufacturing power. Taking the talent introduction policies introduced in various localities from 2016 to 2019 as a quasi-natural experiment, this paper studies whether talent introduction policies can improve the level of intelligence in manufacturing enterprises. The research results found that the introduction of talent introduction policies prompted enterprises to increase investment in industrial robots and promoted the intelligence of the manufacturing industry. Mechanism tests showed that talent introduction policies significantly increased the supply of high-skilled labor and did not raise labor hiring costs for enterprises. Therefore, enterprises recruited more high-skilled labor, especially technicians related to robots, providing talent support for the application of industrial robots. Furthermore, heterogeneous analysis at the policy level found that when talent introduction policies were more diversified and targeted, this promotion effect was stronger. Heterogeneous analysis at the enterprise level found that this promotion effect was stronger for enterprises with more investment opportunities, higher R&D density, and private enterprises. Heterogeneous analysis at the city level found that this promotion effect was greater in cities with higher economic development levels, less government intervention, and higher housing prices. Economic consequence tests found that the intelligence brought by talent introduction policies expanded market share and improved business performance. This paper provides theoretical basis and policy references for implementing the strategy of strengthening the country with talents and achieving high-quality economic development.

Keywords：talent introduction policy, optimal allocation of labor, robots, intelligence in manufacturing industry

LINK：https://ciejournal.ajcass.com/UploadFile/Issue/201606280001/2024/6//20240618101347WU_FILE_0.pdf

Author profile

YU Minggui is the Dean, Professor, and Doctoral Supervisor of the School of Finance at Zhongnan University of Economics and Law. He is also the Co-Director of the Innovation and Talent Base for Digital Technology and Finance. He has been selected for the Ministry of Education's New Century Excellent Talents Support Program and has presided over multiple National Natural Science Foundation projects. He has published over 70 articles in journals such as Economic Research, Management World, Quarterly Journal of Economics, World Economy, China Industrial Economics, Financial Research, Economic Modelling, and Pacific-Basin Finance Journal. Many of his articles have been highly cited and ranked among the top in their respective fields. He also serves as an editor for journals such as Accounting and Finance.

He Mengmeng, PhD candidate from the School of Finance, Zhongnan University of Economics and Law.

Zhang Mengmeng, PhD candidate from the School of Economics and Management, Wuhan University.