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STUDY ON THE TEMPORAL-SPATIAL EVOLUTION RULES OF INTER-PROVINCIAL ECO-EFFICIENCY IN CHINA

机译:中国跨国公司颞空间演化规律研究

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摘要

To study the inter-provincial eco-efficiency in China from multiple perspectives and various aspects, this paper built the super-efficiency data envelopment analysis (US-DEA) model of undesirable outputs, sigma convergence model, spatial correlation model and Malmquist index. The model constructed was used to analyze the convergence of inter-provincial eco-efficiency of different years based on the inter-provincial panel data from 2008 to 2017 in China. The spatial correlation of inter-provincial eco-efficiency was measured as well. Then this paper carried out the dynamic analysis of the inter-provincial total factor productivity. The results show that: (1) The dynamic analysis indicates that the overall eco-efficiency in China has not changed much and the eco-efficiency does not have convergence; the horizontal analysis shows that the eco-efficiency of each province differs greatly; (2) The analysis of the global Moran's I index in China shows that the absolute value of this index is relatively small, indicating that there is no spatial correlation between the eco-efficiency of all provinces in China; (3) According to the analysis of the Malmquist index in different years, it can be known that the year-on-year rise of this index is quite significant, resulting from the increasing inter-provincial production technological efficiency change TC. The inter-provincial technical efficiency change EC is not significant.
机译:研究中国从多个角度和各方面的省际生态效益,本文建立了超效率数据包络分析非期望产出,西格玛收敛模型,空间相关模型和Malmquist指数的(US-DEA)模型。构建的模型,用来分析不同年跨省生态效益基于在中国从2008年省际面板数据,2017年收敛。省际生态效率的空间相关性被测量为好。在此基础进行了跨省全要素生产率的动态分析。研究结果表明:(1)动态分析表明,整体生态效率在中国没有太大的改变和生态效益没有收敛;水平分析显示,每个省有很大不同的生态效率; (2)在中国显示了全球莫兰I指数,该指数的绝对值相对较小,表明有在中国所有省份的生态效益之间没有空间相关性分析; (3)根据不同年份Malmquist指数的分析,可以知道的是,去年同比增长这一指标是相当显著,从提高跨省生产技术效率变化TC产生。跨省技术效率变化EC并不显著。

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