摘要
文章在计算区位熵指数(Location Quotient)的基础上,根据经济增长理论和经济地理理论构建面板数据模型,运用广义矩估计(GMM)方法实证分析了中国2004-2012年24个省市的知识密集型服务业(KIBS)集聚对于经济增长的作用。实证结果显示:知识密集型服务业集聚与经济增长之间呈现出倒U型曲线关系,说明集聚能对经济增长产生正效应,但是集聚不适度时会对经济增长产生负效应。基于上述结论,提出了相应的政策建议。
Based on the calculation of the Location Quotient, we construct a panel data model according to the theory of economic growth and economic geography theory, and use the dynamic panel GMM estimation method to empirically analyze the Knowledge-intensive Business Services（ KIBS） of 24 provinces and cities of China economic growth in 2004- 2012. The empirical results show that the knowledge-intensive business services industries agglomeration and economic growth present an inverted u-shaped curve relationship, this suggests that the agglomeration can produce positive effects on economic growth, but the agglomeration not modest will produce negative effects on economic growth. In the end,we bring forward some suggestions related to the agglomeration of knowledge-intensive business services.
出处
《重庆大学学报（社会科学版）》
CSSCI
北大核心
2016年第2期32-38,共7页
Journal of Chongqing University(Social Science Edition)
基金
国家自然科学基金项目(71572021)
关键词
知识密集型服务业
产业集聚
经济增长
GMM分析
knowledge-intensive business service
industries agglomeration
economic growth
GMM
