Resources Science ›› 2017, Vol. 39 ›› Issue (7): 1326-1337.doi: 10.18402/resci.2017.07.10

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Measurement and spatial econometrics analysis of provincial industrial ecological efficiency in China

Yanqun LU(), Peng YUAN()   

  1. School of Business Administration,Southwest University of Finance Economics,Chengdu 611130,China
  • Received:2016-09-20 Revised:2017-01-05 Online:2017-07-20 Published:2017-07-20

Abstract:

The VRS_DEA model was used to estimate industrial ecological efficiency for China's 30 provinces from 2005 to 2014. A spatial econometrics model was also used to test the influencing factors. We found that the industrial ecological efficiency of most provinces shows a trend of increasing fluctuation,and differences between the provinces are obvious. The spatial development pattern was one from western provinces to eastern provinces. Improvement in industrial development levels is beneficial to industrial ecological efficiency,and the capability of scientific and technological innovation have positive effects on industrial ecological efficiency. Environmental regulation,opening to the outside world and fiscal decentralization have significant negative effects on industrial ecological efficiency. Industrial agglomeration and industrial ecological efficiency follow an inverted U type relationship. Because of the co-existence of pollution emissions and economic benefits,the impact of industrial structure on industrial ecological efficiency is not significant,but the environmental pollution caused by change in industrial structure cannot be neglected. In addition,the spatial lag effect of industrial ecological efficiency is positive,indicating that local governments may learn from and imitate each other in environmental governance. The spatial lag effect of quadratic terms of industrial development is positive,while the spatial lag of fiscal decentralization is negative,and the spatial spillover effects of industrial structure are negative. The spatial lag of industrial agglomeration and industrial ecological efficiency follow a positive U type relationship,the effect on industrial ecological efficiency in adjacent areas was first inhibited and then promoted.

Key words: industrial ecological efficiency, VRS_DEA, space effects, spatial econometrics