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    经济经纬 2017 Issue (5) :81-86
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    “政府管制与新建企业选址——来自中国工业企业的微观证据
    范红忠,胡草
    华中科技大学 经济学院,湖北 武汉 430074
    Government Regulations and Site Selection of New Enterprises——The Micro Evidence from Chinese Industrial Enterprises
    FAN Hong-zhong, HU Cao
    School of Economics, Huazhong University of Science and Technology, Wuhan 430074, China
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摘要 基于中国120个城市新建工业企业的微观数据,运用负二项回归系统,评估了政府管制对新建企业选址的影响。研究发现:政府管制对新建企业的选址具有显著的阻碍作用。同时,政府管制对不同所有制企业的选址存在异质性影响:(1)政府管制对非国有企业的选址产生了显著阻碍作用,但并未对国有企业的选址产生显著影响;(2)政府管制对内资和外资企业的选址都产生了显著阻碍作用,但政府管制对外资企业选址的阻碍作用更强。这意味着,政府部门积极推行的“简政放权”改革会提升对新企业的吸引力,并有助于地区经济发展。
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范红忠
胡草
关键词政府管制   企业选址   负二项模型     
Abstract: Based on the microdata of new industrial enterprises in 120 cities of China, the paper applies Negative Binomial Model to estimate the impacts of the government regulations on the site selection of new industrial enterprises. The empirical analysis shows that the government regulations have significantly deterrent effect on new firm’s location decision. At the same time, the deterrent effects show heterogeneity when it comes to firms under different ownership. On one hand, government regulations have significantly deterrent effect on non-state-owned firms in their sites selection while having no significant effect on state-owned ones. On the other hand, government regulations have significantly deterrent effect on both domestic-funded and foreign-invested firms, but the effect on foreign owned firms is greater. This means the reform of streamlining administration and delegating government powers will attract more new enterprises and promote regional economic development.
KeywordsGovernment Regulations   Site Selection of Enterprises   Negative Binomial Model      
收稿日期 2017-03-28; 接受日期 2017-09-30;
基金资助:国家自然科学基金青年项目(71603093)
作者简介: 范红忠(1967— ),男,湖北汉川人,博士,教授,博士生导师,主要从事产业经济学研究;胡草(1987— ),男,河南商丘人,主要从事产业经济学、区域经济学研究。
引用本文:   
范红忠,胡草.“政府管制与新建企业选址——来自中国工业企业的微观证据[J].  经济经纬, 2017,5: 81-86
FAN Hong-zhong, HU Cao.Government Regulations and Site Selection of New Enterprises——The Micro Evidence from Chinese Industrial Enterprises[J]  Economic Survey, 2017,V34(5): 81-86
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