中国城市市政基础设施投资效率及对经济增长的影响

发布时间：2018-02-13 22:09

本文关键词： 城市市政基础设施 DEA模型 Malmquist指数投资效率经济增长　出处：《地理研究》2017年09期 　论文类型：期刊论文

【摘要】：城市市政公用基础设施的建设对经济的发展有着重要的影响,基础设施投入产出效率问题已经引起了众多学者的关注,因而对市政公用基础设施效率的研究具有重要的现实意义。利用DEA模型和Malmquist生产率指数,对2005-2014年中国290个城市市政设施的投入产出效率进行了评价并分析其对经济增长的影响。结果表明:(1)中国城市市政公用基础设施综合效率水平差异较大,且仅有少数城市达到了效率最优。城市市政基础设施的纯技术效率总体偏低并呈缓慢增加趋势。规模效率增长较快,且高于城市综合效率和纯技术效率,是综合效率最重要的决定因素。(2)东部地区城市基础设施综合效率、纯技术效率和规模效率均高于其他区域,呈现出由东部沿海向中西部地区递减的趋势,且与人口规模呈现正相关。(3)2005-2014年城市综合效率变化指数、技术变化效率指数、纯技术效率变化指数以及生产率变化指数呈增长趋势,且空间差异特征不显著。(4)城市全要素生产率在不同规模的城市中均有提升,且大城市的提高程度大于小城市,小城市大于中等城市。此外,通过多元线性回归模型发现城市基础设施效率的提高对经济增长有着积极的意义。
[Abstract]:The construction of municipal public infrastructure has an important impact on the economic development. The input-output efficiency of infrastructure has attracted the attention of many scholars. Therefore, it is of great practical significance to study the efficiency of municipal public infrastructure. Using DEA model and Malmquist productivity index, The input-output efficiency of 290 municipal facilities in China from 2005 to 2014 was evaluated and its impact on economic growth was analyzed. Only a few cities have reached the optimal efficiency. The pure technical efficiency of urban municipal infrastructure is on the low side with a slow increasing trend. The scale efficiency increases rapidly and is higher than the urban comprehensive efficiency and pure technical efficiency. It is the most important determinant of the comprehensive efficiency. (2) the comprehensive efficiency of urban infrastructure in the eastern region is higher than that in other regions, and the pure technical efficiency and the scale efficiency are higher than those in other regions, showing a decreasing trend from the eastern coast to the central and western regions. Moreover, there is a positive correlation between population size and urban comprehensive efficiency change index, technological change efficiency index, pure technology efficiency change index and productivity change index from 2005 to 2014. The spatial difference is not significant. (4) the total factor productivity (TFP) in cities of different sizes has been improved, and the degree of improvement in large cities is greater than that in small cities, and that in small cities is larger than that in medium cities. Through the multiple linear regression model, it is found that the improvement of urban infrastructure efficiency has positive significance for economic growth.
【作者单位】：中国科学院地理科学与资源研究所可持续发展分析与模拟重点实验室;中国科学院大学;中山大学地理科学与规划学院广东省城市化与地理环境空间模拟重点实验室;天津理工大学国际工商学院;
【基金】：国家自然科学基金重点项目(41230632)
【分类号】：F124.1;F224;F299.24

【相似文献】