摘要
科技人才是技术创新的核心,是推动绿色技术创新水平提高的重要驱动力。基于2006—2020年我国30个省(市、区)面板数据,采用线性回归模型、门槛模型和空间杜宾模型分析科技人才集聚对绿色技术创新的影响。研究发现:科技人才集聚显著提高了当地绿色技术创新水平,但会受到科技创新投入和产业高级化“门槛”的约束;科技人才集聚在不同时间段对绿色技术创新的推动力存在差异,且空间溢出效应为负,尤其是东部地区科技人才集聚会产生虹吸效应,不但吸引周边地区科技人才集聚,且抑制周边地区绿色技术创新水平的提高。应完善科技人才发展机制、“双碳”战略、创新驱动发展战略,推进科技人才战略布局。
Scientific and technological talents are the core of technological innovation and an important driving force to promote the improvement of green technological innovation.Based on the panel data of 30 provinces(cities and regions)in China from 2006 to 2020,the article analyzes the impact of the concentration of scientific and technological talents on green technological innovation by using linear regression model,threshold model and spatial Durbin model.It is found that the concentration of scientific and technological talents significantly improves the level of local green technology innovation,but it is constrained by the“threshold”of scientific and technological innovation investment and industrial advancement.The spatial spillover effect is negative,especially in the eastern region where the concentration of scientific and technological talents has a siphon effect,which not only attracts the concentration of scientific and technological talents in the surrounding areas,but also inhibits the improvement of green technological innovation in the surrounding areas.We should improve the development mechanism of scientific and technological talents,cooperate with the“double carbon”and“innovation-driven”strategies and promote the strategic layout of scientific and technological talents.
作者
张梦江
李军军
周利梅
ZHANG Mengjiang;LI Junjun;ZHOU Limei(College of Economics,Fujian Normal University,Fuzhou 350007,China)
出处
《福建商学院学报》
2023年第2期42-51,79,共11页
Journal of Fujian Business University
基金
福建省创新战略研究项目“基于多元随机前沿模型的福建省生态效率评价研究”(2022R0026)
全国中国特色社会主义政治经济学研究中心(福建师范大学)重点项目“‘双碳’目标对环境治理绩效的影响机理和路径优化研究”(Z202106)。
关键词
科技人才集聚
绿色技术创新
区位熵
门槛效应
空间效应
agglomeration of scientific and technological talents
green technology innovation
location entropy
threshold effect
spatial effect