RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2017, Vol. 26 >> Issue (01): 7-14.doi: 10.11870/cjlyzyyhj201701002

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STUDY THE UTILIZATION EFFICIENCY OF WATER RESOUCES IN YANGTZE RIVER ECONOMIC BELT BASED ON THREE-STAGE DEA AND MALMQUIST INDEX DECOMPOSITION

LU Xi1,2, XU Chang-xin1   

  1. 1. Business School of HoHai University, Nanjing 210098, China;
    2. Business School of Jiangsu University of Technology, Changzhou 213001, China
  • Received:2016-05-18 Revised:2016-07-21 Online:2017-01-20
  • Supported by:
    National Natural Science Foundation of China (51279058)

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Abstract: Rational and effective use of water resources in the Yangtze River economic belt provides an important guarantee for the sustainable development of the economy. In this paper, taking 11 provinces and cities of the Yangtze River economic belt as the research objects, we used a three-stage DEA model and the Malmquist index method to conduct static and dynamic analyses of the water resources utilization efficiency of 11 provinces in 2010-2014. The results showed that after removing the external environmental factors and random error factors, the mean pure technical efficiency and mean comprehensive technical efficiency were underestimated, the scale efficiency was overestimated, insufficient investment scale was bottleneck of our country's water resource utilization efficiency. At the same time, the differences of water resources utilization efficiency in the eastern and western provinces were significant, showing a pattern of "Eastern > middle > West". Using the Malmquist index decomposition we found that the evolution trends of total factor productivity index and technological change were basically the same, which reflected the serious dependence of the total factor productivity index on technological change. Therefore, to expand the scale of production, increasing investment in science and technology and knowledge innovation, optimizing and upgrading the industrial structure are important ways to improve water resources utilization efficiency.

Key words: three-stage DEA model, Malmquist index, comprehensive technical efficiency, pure technical efficiency, scale efficiency, total factor productivity

CLC Number: 

  • TV211
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