Literature DB >> 31845281

An interprovincial evaluation of industrial energy and environment efficiency: what drives China to make progress in sustainability?

Xu Wang1, Yingming Wang2,3.   

Abstract

China has made huge economic achievements based on industry. Heterogeneity, resulting from the industrial structure, energy endowment, and infrastructure among regions, has always been neglected on industrial performance evaluation. This paper focuses on provincial industrial heterogeneity to make a study. Firstly, meta-frontier slack-based measure is employed to rate industrial energy and environment efficiency of China. Besides, spatial evolution characteristics of efficiencies are described by global Moran's I and local Moran's I index. Taking the spatial correlation effect of efficiency into consideration, factors driving Chinese industrial energy and environment efficiency are analyzed and distinguished by quantitative regression and spatial Durbin model. It finds that (1) technical inefficiency and managerial inefficiency mainly attribute to the inefficiency of industrial energy and environment. (2) Chinese industrial energy and environment efficiency presents a stable spatial agglomeration as "high aggregation, low aggregation." It is necessary and indispensable for provinces and regions to cooperate to enhance efficiency. (3) Each province has a distinct driving mechanism of efficiency. The improvement policy of efficiency should be diversified for different provinces.

Entities:  

Keywords:  Driving mechanism; Energy and environment efficiency; Heterogeneity; Meta-frontier SBM; Spatial evolution

Mesh:

Year:  2019        PMID: 31845281     DOI: 10.1007/s11356-019-07301-5

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


  2 in total

1.  Revealing Environmental Inequality Hidden in China's Inter-regional Trade.

Authors:  Wei Zhang; Yu Liu; Kuishuang Feng; Klaus Hubacek; Jinnan Wang; Miaomiao Liu; Ling Jiang; Hongqiang Jiang; Nianlei Liu; Pengyan Zhang; Ying Zhou; Jun Bi
Journal:  Environ Sci Technol       Date:  2018-06-14       Impact factor: 9.028

2.  A predictive analysis of CO2 emissions, environmental policy stringency, and economic growth in China.

Authors:  Khalid Ahmed; Sidrah Ahmed
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-28       Impact factor: 4.223

  2 in total

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