Year-end Sale % OFF 
Abstract
Based on panel data from 2008 to 2017, the Super-SBM model that considers undesired output has been to measure the eco-efficiency of 30 provinces in China. Meanwhile, the spatial autocorrelation analysis is incorporated into the spatiotemporal evolution law in order to calculate the global and local Moran’s I index, and combining the Moran scatter plot to explore the spatiotemporal evolution and agglomeration characteristics of regional eco-efficiency. The results show that the overall level of China’s eco-efficiency has improved, but the regional differences are obvious, shows a gradient descending pattern of “East, Northeast, Middle and West”. The regions with familiar eco-efficiency level showed the volatility clustering phenomenon, and that the regions and their neighbors have potentially similar trends. Eco-efficiency in China was improved followed by the improvement of local polarization situation and regional differences have narrowed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
