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作 者:王腾飞[1] 马仁锋[2] WANG Tengfei;MARenfeng(Institute of Central and Eastern European Economic and Trade Cooperation/Business School,Ningbo University,Ningbo 315211,Zhejiang,China;Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research,Ningbo University,Ningbo 315211,Zhejiang,China)
机构地区:[1]宁波大学中东欧经贸合作研究院/商学院,浙江宁波315211 [2]宁波大学陆海国土空间利用与治理浙江省协同创新中心,浙江宁波315211
出 处:《经济地理》2024年第9期37-45,共9页Economic Geography
基 金:浙江省软科学研究计划项目(2024C35002);宁波市社会科学研究基地项目(JD6-006);宁波大学高级别人文社会科学前期培育项目(XPYQ22003)。
摘 要:数字经济时代,伴随信息、资本、劳动力和商品等各要素流动性的显著提升,技术知识流动网络越发成为区域经济内生增长的重要动力。文章采用专利引证大数据测度中国城际专利联系网络,并构建空间面板数据模型探究了城际专利联系网络对绿色全要素生产率的影响。研究发现:①中国城际专利联系网络趋向密集化演变,同时呈现邻近互动和远距离互动并存的多区位关联特征;②人力资本、环境规制和产业结构通过城际专利联系网络对关联区域的绿色全要素生产率产生显著的溢出效应,且专利网络越紧密,溢出效应就越显著;③相较于地理邻近,城际专利联系网络显著扩大了人力资本对绿色全要素生产率的正向溢出效应,以及环境规制和产业结构对绿色全要素生产率的负向溢出效应。研究结果为以知识网络溢出为核心的区域经济内生增长路径提供了科学参考。In the era of digital economy,with the significant improvement of the mobility of information,capital,labor and commodities,the flow network of technical knowledge has become an important driving force for the endogenous growth of regional economy.This research uses the big data of authorized invention patent citation of knowledge-intensive industries to measure the intercity patent network in China,and uses the spatial panel data model to explore the impact of the intercity patent network on the green total factor productivity.It's found that:1)China's intercity patent network tends to be dense as a whole.There is strong adjacent interaction and distant interaction in the patent network,which conforms to the multi-location network features.2)Human capital,environmental regulation and industrial structure have significant network spillover effects on the green total factor productivity of network-related regions through patent network.The closer the patent network is,the more significant the network spillover effects are.3)Compared with geographical proximity,the intercity patent network significantly expands the positive spillover effects of human capital factor on green total factor productivity and the negative spillover effects produced by environmental regulation and industrial structure.The research results provide scientific references for the endogenous growth path of regional economy with knowledge network spillovers as the core.
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