Study on the temporal-spatial evolution rules of inter-provincial eco-efficiency in china

Weiyang Yu1, Teng Chen1, Hongyi Wang2, Shaodong Yu1, Songjia Zhang1

1 School of Economics and Management, Yanshan University, 438 Hebei Street, Haigang District, Qinhuangdao, Hebei, China
2 Department of Business, Qinhuangdao Vocational and Technical College, 90 Lianfengbei Road, Beidaihe District, Qinghuangdao, Hebei, China

Abstract


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, s 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: . 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; . 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; .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.

Keywords


convergence model; inter-provincial eco-efficiency; Malmquist index; Moran s I index; super efficiency DEA model

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