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集聚外部性如何影响企业生产率?
引用本文:陶锋,杨雨清,褚简.集聚外部性如何影响企业生产率?[J].南方经济,2018,37(6):87-101.
作者姓名:陶锋  杨雨清  褚简
作者单位:暨南大学产业经济研究院, 广东省广州市 510632
基金项目:本文受国家自然科学基金面上项目"知识溢出影响创新地理的理论机制和实证研究"(71673114)、国家自然科学基金重点项目"推动经济发达地区产业转型升级的机制与政策研究"(71333007)和广州市人文社会科学重点研究基地"广州现代产业新体系研究基地"的资助。
摘    要:文章基于中国制造业企业微观数据,在省份、地级以上城市和区县三个地理层面,检验和比较了集聚外部性的三个源泉影响企业生产率增长的内在机制。研究发现,在同一地理层面,投入共享对生产率的促进作用最大,劳动力池次之,知识溢出最小。分地理层面来看,投入共享效应在省份层面最明显,地级以上城市层面次之,区县层面最小;省份和地级以上城市层面的劳动力池效应大于区县层面;知识溢出效应仅在城市和区县层面成立。同时,集聚外部性的相对重要性还依赖于地区市场化进程和行业技术水平。文章结论有利于更深入理解集聚外部性与企业生产率的关系,从而进一步打开集聚经济的地理黑箱,也能够为公共政策在不同行政区划层次的精准发力提供理论支持。

关 键 词:中间投入共享  劳动力池  知识溢出  全要素生产率  

How Agglomeration Externalities Impact on Firms' Productivity
Tao Feng,Yang Yuqing,Chu Jian.How Agglomeration Externalities Impact on Firms' Productivity[J].South China journal of Economy,2018,37(6):87-101.
Authors:Tao Feng  Yang Yuqing  Chu Jian
Abstract:Based on the micro data of Chinese manufacturing, this study investigates the impact of agglomeration externalities on firms' productivity growth at the three geographical levels, covering provinces, prefecture-level cities and counties. The conclusions are as follows:At the same geographical level, input sharing has the largest promoting effect on firms' productivity, followed by labor market pooling and knowledge spillovers. The input sharing effect has the most importance at the province level, followed by the prefecture-level city and county level; the labor market pooling effects at the province level and the prefecture-level city are more important than the county level; the knowledge spillovers effect is only exist at the prefecture-level city and county level. The relative importance of different sources of agglomeration externalities also depends on the technical level of industries and the market-oriented reform. The conclusion of this article is beneficial to further open the "black box" of agglomeration economy in theory, and also provide theoretical support for the precision of public policies.
Keywords:input sharing  labor market pooling  knowledge spillovers  total factor productivity  
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