【摘要】 文章利用详细的地理信息和企业层面数据,把离散空间转化为连续的距离,运用改进的集聚测度方法,研究了我国制造业84个细分行业集聚的空间演变特征,并运用面板回归模型对影响产业集聚的因素进行了分析。研究表明,在小范围地理区域和细分行业层次上,中间投入共享是影响我国制造业集聚的最重要因素,劳动力成熟度和知识溢出对产业集聚也发挥了重要作用,从而验证了马歇尔外部性的重要性。规模报酬对产业集聚的影响是非线性的。此外,开放程度的提高和运输成本的降低也有利于促进产业集聚,而国有企业比例过大的行业则不容易形成集聚。更多还原

【Abstract】 Using comprehensive geographic information and firm-level data,this paper transforms discrete space into continuous distance,and employs improved agglomeration measurement methods to analyze the evolution of spatial agglomeration of 84 sub-divided manufacturing industries.It also studies the factors influencing industrial agglomeration by panel regression model.It shows that,from the perspective of small geographic region and sub-divided industry,intermediate input sharing is the most important factor influencing manufacturing agglomeration in China,and labor maturity and knowledge spillover also contribute to industrial agglomeration,confirming the importance of Marshall’s externalities.The returns to scale have nonlinear effects on industrial agglomeration.In addition,the increase in openness and the reduction in transportation costs are advantageous to industrial agglomeration and a large share of state-owned enterprises is disadvantageous to industrial agglomeration.更多还原