摘要
本文通过2003-2015年的省级数据首先利用探索性空间数据分析法深入探讨中国对外贸易的空间相关性,通过研究发现,2003-2015年各个省份对外贸易发展情况比较相似,没有明显差距。但从2005年开始,用于衡量空间相关性的莫兰指数正在逐渐上升,且统计量非常显著。再利用DEA-Malmquist模型对中国31个省、直辖市、自治区的绿色全要素生产率进行测算,实证检验了对外贸易与绿色全要素生产率之间的影响作用关系,结果表明中国对外贸易显著促进了各地区的绿色全要素生产率。
In this paper,the spatial correlation of China's foreign trade is first investigated by using exploratory spatial data analysis method through provincial data from 2003-2015,and the results of global spatial autocorrelation analysis show that the gap of foreign trade development between individual provinces from 2003-2015 is not obvious.However,the Moran index,which measures the global spatial autocorrelation,gradually increases from 2005 onward and is statistically very significant.The DEA-Malmquist model is then used to measure the green total factor productivity of 31 provinces,municipalities directly under the central government and autonomous regions in China,and the relationship between the effects of foreign trade and green total factor productivity is empirically tested,and the results show that Chinese foreign trade significantly contributes to the green total factor productivity of each region.
作者
洪梦
HONG Meng(Anhui University of Finance&Economics,Bengbu 233030,China)
出处
《价值工程》
2021年第32期194-196,共3页
Value Engineering
基金
安徽财经大学研究生创新基金:基于空间计量下经济开放对我国绿色经济效率的研究(ACYC2020064)。
