【摘要】 文章在测算出生产性服务资源三类集聚程度的基础上,运用空间计量方法首次深入剖析集聚模式对制造业资本回报率的作用机制,并进一步从时间异质性和距离异质性视角刻画上述机制。得到的结论主要有:首先,生产性服务资源自身集聚及其与制造业协同集聚均有助于制造业资本回报率的提升,生产性服务资源与农业的协同集聚则会对制造业资本回报率产生负向冲击,这一负向冲击主要产生于2012年后;其次,虽然生产性服务资源与制造业协同集聚对制造业资本回报率的作用力大于生产性服务资源自身集聚,但生产性服务资源与制造业协同集聚对制造业资本回报率正向作用的显著性上限为300公里,地理距离对生产性服务资源自身集聚正向效应的制约力则不显著;最后,就业密集度、人力资本深化和生产率提升均有助于制造业资本回报率的提升,研发投入对制造业资本回报率的作用力不显著,中国制造业资本回报率持续提升还有赖于劳动者技能提升和技术进步。更多还原

【Abstract】 Based on estimating three kinds of productive service resource agglomeration, this paper takes advantage of spatial panels to study the effects of productive service resource agglomeration on the capital return rate in manufacturing industries from several aspects. The results show that: firstly the agglomeration of productive service and co-agglomeration of the productive service and the manufacturing industry will improve the capital return rate of manufacturing, while the co-agglomeration of productive service and agriculture industry has negative effects on capital return rate in manufacturing industries, the negative effects start from 2012. Secondly, although the positive effects of co-agglomeration of the productive service and manufacturing industry on capital return rate in manufacturing industries are greater than the agglomeration of productive service, co-agglomeration’s positive effects only occur within a distance of 300 km. Thirdly, the improvement of employment density, human capital and productive rate will do good to the capital return rate in manufacturing industries. R&D input effects on the capital return rate in manufacturing industries is insignificant. The improvement of the capital return rate in manufacturing industries relies on the promotion of labor skill and technology.更多还原