Spatial Correlation and Convergence Analysis of Eco-Efficiency in China

In this paper, we first measured the eco-efficiency of 31 provinces in China during 2000−2015 using the SBM (Slack-Based Measure) model, and the spatial character of eco-efficiency was identified based on symmetrical spatial weight matrix. We then proposed a new asymmetrical spatial weight...

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Main Authors: Defeng Zheng, Shuai Hao, Caizhi Sun, Leting Lyu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/9/2490
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spelling doaj-7ead65e006bf4a6fb82ad68d150d76ad2020-11-24T21:49:51ZengMDPI AGSustainability2071-10502019-04-01119249010.3390/su11092490su11092490Spatial Correlation and Convergence Analysis of Eco-Efficiency in ChinaDefeng Zheng0Shuai Hao1Caizhi Sun2Leting Lyu3School of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, ChinaSchool of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, ChinaSchool of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, ChinaSchool of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, ChinaIn this paper, we first measured the eco-efficiency of 31 provinces in China during 2000&#8722;2015 using the SBM (Slack-Based Measure) model, and the spatial character of eco-efficiency was identified based on symmetrical spatial weight matrix. We then proposed a new asymmetrical spatial weight matrix based on the eco-economic transformation index (<i>EETI</i>)-distance reciprocal principle to assess the spatial character of eco-efficiency. Finally, we analyzed the convergence of eco-efficiency&#8217;s total factor productivity (<i>EETFP</i>s) in mainland China and in three major regions based on the results of <i>EETFP</i>. The study revealed the following findings: (1) There were some limitations to the spatial autocorrelation of eco-efficiency in mainland China by the symmetrical spatial weight methods based on the spatial proximity principle or spatial distance principle. However, the new spatial weight scheme improved the reliability of the accounting results of the spatial autocorrelation. (2) The clustering effect of eco-efficiency exhibited a downward trend in mainland China during the study period; meanwhile, the significant high-high and low-high clustering areas were located in the eastern, the central, and the western regions. (3) The study of convergence showed that there was a club-convergence phenomenon in mainland China, and except for the western region, all the regions expressed conditional convergence. The results provide a significant reference for ecological-economy management and sustainable development in China.https://www.mdpi.com/2071-1050/11/9/2490eco-efficiencySBM modelcombined weightMalmquist indexconvergence
collection DOAJ
language English
format Article
sources DOAJ
author Defeng Zheng
Shuai Hao
Caizhi Sun
Leting Lyu
spellingShingle Defeng Zheng
Shuai Hao
Caizhi Sun
Leting Lyu
Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
Sustainability
eco-efficiency
SBM model
combined weight
Malmquist index
convergence
author_facet Defeng Zheng
Shuai Hao
Caizhi Sun
Leting Lyu
author_sort Defeng Zheng
title Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
title_short Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
title_full Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
title_fullStr Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
title_full_unstemmed Spatial Correlation and Convergence Analysis of Eco-Efficiency in China
title_sort spatial correlation and convergence analysis of eco-efficiency in china
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-04-01
description In this paper, we first measured the eco-efficiency of 31 provinces in China during 2000&#8722;2015 using the SBM (Slack-Based Measure) model, and the spatial character of eco-efficiency was identified based on symmetrical spatial weight matrix. We then proposed a new asymmetrical spatial weight matrix based on the eco-economic transformation index (<i>EETI</i>)-distance reciprocal principle to assess the spatial character of eco-efficiency. Finally, we analyzed the convergence of eco-efficiency&#8217;s total factor productivity (<i>EETFP</i>s) in mainland China and in three major regions based on the results of <i>EETFP</i>. The study revealed the following findings: (1) There were some limitations to the spatial autocorrelation of eco-efficiency in mainland China by the symmetrical spatial weight methods based on the spatial proximity principle or spatial distance principle. However, the new spatial weight scheme improved the reliability of the accounting results of the spatial autocorrelation. (2) The clustering effect of eco-efficiency exhibited a downward trend in mainland China during the study period; meanwhile, the significant high-high and low-high clustering areas were located in the eastern, the central, and the western regions. (3) The study of convergence showed that there was a club-convergence phenomenon in mainland China, and except for the western region, all the regions expressed conditional convergence. The results provide a significant reference for ecological-economy management and sustainable development in China.
topic eco-efficiency
SBM model
combined weight
Malmquist index
convergence
url https://www.mdpi.com/2071-1050/11/9/2490
work_keys_str_mv AT defengzheng spatialcorrelationandconvergenceanalysisofecoefficiencyinchina
AT shuaihao spatialcorrelationandconvergenceanalysisofecoefficiencyinchina
AT caizhisun spatialcorrelationandconvergenceanalysisofecoefficiencyinchina
AT letinglyu spatialcorrelationandconvergenceanalysisofecoefficiencyinchina
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