摘要
本文采用GML指数测算了2003—2016年中国285个城市的环境全要素生产率(ETFP),检验了FDI和ETFP的空间相关性,探讨了不同空间集聚类型的FDI对ETFP的空间影响。研究发现:(1)全局Moran指数和局部Moran散点图均显示城市FDI和ETFP呈现出较强的空间聚集特征,且FDI和ETFP同种集聚类型的城市有重叠,表明城市ETFP在经济地理上的高低跟一个地区FDI的空间集聚密切相关。(2)回归结果中正向显著的空间滞后系数表明一个城市的ETFP及其分解成分受到邻近城市的影响,表现出"近朱者赤,近墨者黑"的特征,分解成分回归结果显示,FDI主要是通过技术进步来促进城市ETFP的提高。(3)High-High和High-Low集聚类型城市的FDI对ETFP有显著的促进作用,且高值集聚FDI的技术溢出效应相对于分散的FDI更为显著,促进了自身和周边城市ETFP的提升和集聚。Low-High和Low-Low集聚类型城市的FDI效果不显著。为此,中国需要打破行政区域的束缚,发挥High-High集聚型城市的"领头"作用,加强城市间的交流与合作,充分考虑空间协调性,发挥空间关联的积极作用。
In the new normal period of China′s current economic growth slow down,structural optimization and upgrading,it is not a perfect strategy to develop the economy blindly or protect the environment unilaterally.The key to China′s economic transformation and development is to improve the environmental total factor productivity(ETFP)of each city.In recent years,domestic scholars have found that the level of ETFP in the eastern coastal areas of China is generally higher than that in the central and western regions,and the regional differences are very large.At the same time,some scholars have found that the regional distribution of FDI also presents a"high in the eastern regions and low in the western regions"agglomeration difference.The question is:why is the level of ETFP high in the eastern regions and low in the western regions?Is this related to the agglomeration difference of FDI between the eastern regions and the western regions?In other words,does the spatial agglomeration of FDI affect the ETFP in different regions?Based on these problems,this paper examines the net effect of FDI on ETFP in 285 cities in China from the perspective of spatial agglomeration,hoping to provide policy reference for accelerating the realization of high-quality economic development and promoting the coordinated,healthy and sustainable development among cities according to local conditions.First of all,through the study of domestic and foreign literature,we find that most of the literature use ML index to measure and study ETFP at national,regional and industrial levels.However,ML index is limited to the shortcomings of linear programming,which cannot effectively overcome the evaluation deviation.In addition,these research literature on the impact of FDI on ETFP does not include geographical and spatial factors into the analysis of ETFP.Ignoring the spatial agglomeration characteristics of FDI may lead to a deviation in the evaluation of ETFP.Therefore,this paper uses SBM direction distance function and GML index to measure the e
作者
李小平
余东升
Li Xiaoping;Yu Dongsheng(School of Economics,Zhongnan University of Economics and Law,Wuhan 430073,Hubei,China)
出处
《科研管理》
CSSCI
CSCD
北大核心
2021年第8期160-167,共8页
Science Research Management
基金
国家社科基金重大项目“‘一带一路’区域价值链构建与中国产业转型升级研究”(18ZDA038,2018.12-2021.12)。
