摘要
利用2007—2017年长三角地区数据,通过区位熵构建制造业与生产性服务业协同集聚指数,同时建立表示劳动力流动、资本流动以及技术扩散的变量,通过差分GMM来估计变量之间的关系。结果发现,在选择的年份当中,初始协同集聚程度会影响后续的产业协同集聚程度,同时劳动力流动以及技术扩散均会促进协同集聚程度,资本流动会给协同集聚带来负向影响。
This paper uses the data of the 2007-2016 Yangtze River Delta region to construct a synergistic agglomeration index of manufacturing and producer services using location entropy,and establish variables representing labor mobility,capital flows and technology diffusion,and estimate the relationship between variables through differential GMM.It is found that in the year selected in this paper,the initial degree of synergistic concentration will affect the subsequent degree of industrial agglomeration,while labor mobility and technology diffusion will promote the degree of synergy,and capital flow will have a negative impact on collaborative agglomeration.
作者
刘世豪
LIU Shi-hao(Shanghai Normal University, Shanghai 200235, China)
出处
《科技和产业》
2020年第4期98-102,共5页
Science Technology and Industry
关键词
要素流动
产业转移
协同集聚
factor flow
industry transfer
synergistic agglomeration