产业集聚对区域科技创新效率影响的集聚效应与拥挤效应——基于北上广深四大一线城市的城市面板数据

The agglomeration effect and crowding effect of industrial agglomeration on the efficiency of regional scientific and technological innovation——Based on the urban panel data of Beijing, Shanghai, Guangzhou and Shenzhen

摘要:

通过区位熵模型构建生产制造业集聚规模与生产性服务业集聚规模的实证代理变量,然后将Griliches-Jaffe知识生产函数进行拓展、重整并对数化处理,构建产业集聚对区域科技创新效率影响的基准对数线性回归模型,应用北京、上海、广州和深圳2010—2020年的宏观经济面板数据,实证分析了我国四大一线城市产业集聚对科技创新效率的集聚效应与拥挤效应,结果表明：(1)北上广深四大一线城市产业内生产制造业集聚规模与其科技创新效率发展呈现出“倒U型”非线性关系,也即产生拥挤效应；(2)北上广深四大一线城市产业内生产性服务业集聚规模与其科技创新效率发展呈现“单调递增”正向线性关系,也即还存在集聚效应；(3)北上广深四大一线城市产业间生产制造业与生产性服务业的关联集聚与其科技创新效率发展也呈现出“倒U型”非线性关系,关联集聚也出现拥挤效应。最后,给出了本文的政策建议。

Abstract:

This paper constructs the empirical agent variables of the agglomeration scale of manufacturing industry and producer service industry based on the location entropy model, Then we use the expanded Griliches-Jaffe knowledge production function , restructured and logarithmic-ally processed to construct a Log-linear model of the impact of industrial agglomeration on regional innovation efficiency, Using macroeconomic panel data from Beijing, Shanghai, Guangzhou and Shenzhen from 2010 to 2020, this paper empirically analyzes the agglomeration effect and crowding effect of industrial agglomeration on the efficiency of scientific and technological innovation in China"s four first-tier cities, the results show:(1)There is an inverted U-shaped non-linear relationship between the industrial agglomeration scale and the development of sci-tech innovation efficiency in the four first-tier cities of Beijing, Shanghai, Guangzhou and Shenzhen;(2)There is a linear relationship between the agglomeration scale of producer services and the development of science and technology innovation efficiency in the four first-tier cities of Beijing, Shanghai, Guangzhou and Shenzhen;(3)There is also a “Inverted U-shaped” nonlinear relationship between the inter-industry cluster of manufacturing and producer services in the four first-tier cities of Beijing, Shanghai, Guangzhou and Shenzhen, and the development of their sci-tech innovation efficiency, finally, we give some policy suggestions.