Literature DB >> 31832965

China's regional environmental efficiency evaluation: a dynamic analysis with biennial Malmquist productivity index based on common weights.

Weiwei Zhu1,2, Yaqin Zhu3, Yu Yu4.   

Abstract

China's economy in the past 10 years has developed rapidly and achieved great success, but at the same time, environmental problems have been deteriorating, seriously hindering the country's regional sustainable development. This paper proposes a common-weights DEA model based on "the priority of choosing common weights" to assess the environmental performance of 30 provinces from 2006 to 2015 and analyzes regional development in combination with China's economic division. This paper also introduces the biennial Malmquist Productivity Index (BMPI) to study environmental productivity levels during the 11th and 12th Five Year Plans (FYP) from a time series perspective. The results present a large gap in regional environmental efficiency, mainly manifested by the fact that the eastern and northeastern regions' environmental condition is obviously better than that of the central and western regions. BMPI analysis indicates that the overall environmental performances during the 11th and 12th FYPs did not improve significantly, with a clear imbalance in the western region, implying that its development potential is huge. On this basis, we offer some suggestions for improving the environmental performance of different regions.

Keywords:  Common weights; Environmental efficiency; Malmquist productivity index

Mesh:

Year:  2019        PMID: 31832965     DOI: 10.1007/s11356-019-06966-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Analysis on the causes of the change in the north-south gap of industrial pollution discharge in China.

Authors:  Xiao-Dong Zhang; Bin Li; Juan Lu; Al-Barakani Abdo
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-10       Impact factor: 5.190

2.  Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China.

Authors:  Dongdong Ma; Guifang Li; Feng He
Journal:  Int J Environ Res Public Health       Date:  2021-11-21       Impact factor: 3.390

  2 in total

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