Research Center for Energy Economics, Henan Polytechnic University, Jiaozuo, China
Promoting China's economy from high-speed growth to high-quality development is an important judgment made by the 19th National Congress of the Communist Organization of China on China's economic development. Based on the panel data of 14 regions and cities in Henan Province from 2010 to 2017, this paper first calculates that the quality of economic growth in each province has spatial autocorrelation, and then uses a two-way fixed effect model to empirically test the quality of economic growth by gathering scientific and technological talents. The research results show that there is a significant positive correlation between scientific and technological talents gathering and the quality of economic growth in each city, And the level of regional economic development is the core factor affecting talent flow; Based on this, this paper puts forward relevant policy recommendations to promote the rational and orderly flow of scientific and technological talents and improve the quality of economic growth in various provinces.
High-quality economic development; Gathering of scientific and technological talents; Henan Province
Niuniu He. Research on the Relationship between the Gathering of Scientific and Technological Talents and the High-Quality Development of Regional Economy—Taking Henan Province as an Example. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 7: 114-121. https://doi.org/10.25236/FSST.2023.050720.
 Liu Hang. Analysis of Factors Affecting the Flow of Scientific and Technological Talents in Nanjing Enterprises and Research on Countermeasures [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2008.
 Chen Xi. Path Selection of Innovation Driven Development Strategy [J]. Economic Issues, 2013 (3):42-45.
 Wu Yali. The Current Situation and Countermeasures of China's Scientific and Technological Talent Flow [J]. Journal of Liaoning Administrative College, 2009, (12):166-167.
 Ji Jianyue, Zhu Yanbin. Research on the Motivation of China's Scientific and Technological Talent Flow Based on Panel Data [J]. Population and Economy, 2008, (5):32-37.
 Tian Fan, Fang Weihua. The interaction between brain drain and economic growth -- based on panel data of the BRICs [J]. Journal of Beijing University of Technology: Social Science Edition, 2014, (3):89-95.
 Niu Chonghuai, Wang Yanni, Guo Lifang .Analysis of the Impact of Cultural Differences between China and the West on the Gathering Effect of Scientific and Technological Talents[J]. Journal of Management, 2009, 6 (6):776-780.
 Zhang Min, Chen Wanming, Liu Xiaochang. Key Success Factors and Influence Mechanism Analysis of Talent Gathering Effect 1. Research on Science and Technology Management. 2009(8): 494-497.
 Zhang Shoufeng, Liu Jianxun, Based on the system theory, studied the evaluation of talent aggregation effect of knowledge-based orgnizations [J]. Dongyue Theory, 2010, 3 (6), 044.
 Xiao Zelei, Xiang Xizhang, Liu Hong. Analysis on the Elements and Advantages of the Innovation Cluster of High tech Industries—Taking "Wuhan China Optical Valley" as an Example [J]. China Soft Science, 2010 (7):103-111.
 Zhang Tongquan. Research on .the Evaluation Indicator System of Talent Gathering Effect [J]. Modern Management Science, 2008, (8):83-84+104.
 Zhang Tiqin. Coordinated Development of Financial Industry and Financial Talents [N]. Social Science Daily, 2016-04-21 (002).
 Zhu Jinhe, Wang Yali. Measurement of China's provincial green total factor productivity and analysis of its influencing factors—an empirical test based on the dynamic GMM method [J]. Journal of Xinjiang University: Philosophy · Humanities and Social Sciences Edition, 2019, (2):1-15.
 Sang Qianqian, Li Yuxiang. Educational input, technological innovation and high-quality economic development—empirical evidence from 237 prefecture level cities [J]. Qiushi Academic Journal, 2021, 48 (03): 86-99.