摘要
本文基于中国1991—2010年的省际面板数据，采用工具变量二阶段最小二乘法（2SLS）实证分析了经济活动的空间集聚对经济增长的影响作用。研究克服了变量的内生性问题，并纠正了传统研究中面板OLS估计的向下偏误问题。结果表明，空间集聚对经济增长具有显著促进作用，并且该影响作用会随运输成本的降低而削弱，多维度的稳健性检验也证明结论是可靠的。此外，空间集聚对中国省际经济增长的影响作用还表现出明显的时空差异性。
Based on the China＇s provincial panel data from 1991 to 2010, this paper uses the two - stage least squares method to estimate the impact of spatial agglomeration on provincial economic growth, which effectively overcomes the possible endoganeity issues in our regression and rectifies the downward bias problem in the past research. We find that the impact of spatial agglomeration on provincial economic growth spatial agglomeration is positive and statistically significant, and we also find that this impact can be weakened as the transportation cost reduces. Besides, the result survives from various robustness checks. In addition, the sub - regional regression shows that the effect of spatial agglomeration depends on the dimension of the geographic location（ coastal or in- land areas）.
出处
《金融研究》
CSSCI
北大核心
2013年第8期123-135,共13页
Journal of Financial Research
关键词
空间集聚
经济增长
工具变量
Spatial agglomeration
Economic growth
Instrumental variable
