The Interactive Effect of Talent Gathering, Technological Innovation and High-Quality Economic Development: An Empirical Analysis Based on China’s Provincial Panels

Mingjun Wei
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Abstract

Based on the panel data of 30 provinces in China from 2006 to 2019, this paper uses the panel vector autoregression model to empirically analyze the interaction and lagging influence among talent gathering, technological innovation and high-quality economic development. The research results indicate that the variance decomposition of high-quality economic development shows that talent aggregation and technological innovation are both driving forces for high-quality economic development, but the lag effect of talent aggregation is relatively small. For every 1% increase in talent aggregation level, the level of high-quality economic development increases by 0.154%. For every 1% increase in technological innovation level, the level of high-quality economic development increases by 0.325%; in the variance decomposition results of talent aggregation, high-quality economic development and technological innovation have a positive effect on talent aggregation and the effect is gradually increasing, but the lag effect of talent aggregation itself is becoming smaller and smaller. For every 1% increase in the level of high-quality economic development, the level of talent aggregation increases by 1.204%. For every 1% increase in technological innovation level, the talent aggregation level increases by 0.212%; in the variance decomposition results of technological innovation, the lag effect of high-quality economic development and talent aggregation is relatively large, but the proportion of talent aggregation is relatively small. For every 1% increase in the level of high-quality economic development, technological innovation increases by 1.700%. For every 1% increase in talent aggregation, technological innovation increases by 0.141%. Therefore, relying solely on talent aggregation cannot achieve the goal of high-quality economic development. It is also necessary to increase innovation investment, enhance the effect of talent aggregation, allocate resources reasonably, and form a positive interaction among the three.
人才集聚、技术创新与高质量经济发展的互动效应——基于中国省级面板的实证分析
基于2006 - 2019年中国30个省份的面板数据,运用面板向量自回归模型,实证分析了人才集聚、技术创新与经济高质量发展之间的交互作用和滞后影响。研究结果表明,经济高质量发展的方差分解表明,人才集聚和技术创新都是经济高质量发展的驱动力,但人才集聚的滞后效应相对较小。人才集聚水平每提高1%,经济高质量发展水平就能提高0.154%。技术创新水平每提高1%,经济高质量发展水平提高0.25%;在人才聚集的方差分解结果中,高质量的经济发展和技术创新对人才聚集有正向作用,且作用逐渐增强,但人才聚集本身的滞后效应越来越小。经济高质量发展水平每提高1%,人才集聚水平就会提高1.204%。技术创新水平每提高1%,人才集聚水平提高0.212%;在技术创新的方差分解结果中,经济高质量发展与人才聚集的滞后效应较大,但人才聚集的比重相对较小。经济高质量发展水平每提高1%,技术创新就提高1.700%。人才聚集每增加1%,技术创新就会增加0.141%。因此,仅仅依靠人才聚集是无法实现经济高质量发展的目标的。加大创新投入,增强人才集聚效应,合理配置资源,形成三者的良性互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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