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中文摘要：
本文基于2005-2014年中国31个省市自治区的面板数据.以全要素生产率增长对经济发展效率予以度量.运用多种计量分析和检验方法.在通过两阶段SYS-GMM方法有效控制解释变量内生性问题的条件下.实证考察了资源型产业集聚对全要素生产率增长的非线性影响。结果表明.资源型产业集聚与全要素生产率增长呈显著的倒“U”型曲线关系.并表现出强稳定性.资源型产业最优集聚规模为0.891.当资源型产业集聚度小于倒“U”型曲线的拐点0.891时.资源型产业集聚对全要素生产率增长具有显著的促进作用一旦资源型产业集聚度超过这一拐点时.产业的过度集聚就会阻碍全要素生产率的增长;将资源型产业全要素生产率分解为技术进步和技术效率.由于资源型产业以水平型集聚为主.使得资源型产业技术效率的提高对全要素生产率增长的贡献大于技术进步.当集聚类型由水平型向垂直型转化时.技术进步对全要素生产率的有利影响将会凸显出来;资源型产业集聚与全要素生产率之间倒＂U”型曲线的拐点值对于不同传导机制因素的敏感程度不同.科技创新投入、人力资本水平、市场化程度、基础设施建设四个因素推延了资源型产业最佳集聚规模阑值.降低了由于集聚规模扩大而对全要素生产率增长产生“拥塞效应”的风险;中国48.39%的省份处于资源型产业集聚“规模效应”阶段.集聚规模的扩大会继续促进全要素生产率的增长.51.61%的省份大多属于资源富集省份.处于产业集聚“拥塞效应”凸显阶段.若继续扩大集聚规模.过度集聚将进一步阻碍全要素生产率的增长。
英文摘要：
This article empirically researches the nonlinear effect of resources industry agglomeration on total factor productivity growth, and measures the efficiency of economic development combining the total factor productivity growth, using a variety of econometric analysis and testing methods, under the condition of effective control of endogenous problems with two-stage SYS-GMM method, on the basis of panel data of 31 provinces in China during 2005 - 2014. The results show that the relationship shows a significantly inverted ＇ U＇ type curve between resource-based industry agglomeration and total factor productivity growth, which also presents strong stability, and the optimal agglomeration size of resources industry is 0. 899. It also shows that resource-based industry agglomeration will significantly promote the growth of total factor productivity when the resource-based industry agglomeration degree is lower than the inflection point of the inverted ＇ U＇ type curve, which is O. 891, and excessive industry agglomeration will hinder the growth of total factor productivity when the resource-based industry agglomeration degree is beyond the inflection point. Total factor productivity of resource-based industry is resolved to technology progress and technology efficiency; because of resource-based industry mainly include horizontal agglomeration, the enhance of resource-based industry technology efficiency makes greater contribution on the growth of total factor productivity than the technology progress does and technology progress will high light its positive effect on the total factor productivity when the type of agglomeration converts from horizontal type to vertical type. The inflection point value on the inverted ＇U＇ type curve between resource-based industry agglomeration and total factor productivity has different sensitive degrees to different transmission mechanism factors, and four factors, including science and technology innovation investment, human capital level, the degree of marketization, a
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