4.3 Article

Spatial and Temporal Differences in the Green Efficiency of Water Resources in the Yangtze River Economic Belt and Their Influencing Factors

Publisher

MDPI
DOI: 10.3390/ijerph18063101

Keywords

Yangtze River Economic Belt; green efficiency of water resources; SBM-DEA model; Malmquist index; social network analysis; system GMM model

Funding

  1. National Social Science Found Major Projects of China [14ZDB151]
  2. National Natural Science Foundation of China [41701593]
  3. Social Science Planning Research Project of Shandong Province [16DJJJ06]
  4. Qingdao Social Science Planning Project [QDSKL1601014]

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This study analyzed the regional differences and spatial characteristics of green efficiency of water resources in the Yangtze River Economic Belt using panel data from 11 regions. The study found that green efficiency fluctuates over time with an overall decreasing trend, and spatially decreases from downstream to upstream. Total factor productivity index shows an increasing trend mainly due to technological improvement, and there is significant spatial correlation in green efficiency among all provinces.
Using panel data from 11 regions (9 provinces and two cities) in the Yangtze River Economic Belt (YREB) during 2002-2017, the regional differences in and spatial characteristics of the green efficiency of water resources along the YREB were analyzed. The undesirable outputs slacks-based measure-data envelopment analysis, Malmquist index, and social network analysis models were employed. A dynamic panel using a system generalized method of moments model was established to empirically examine the main factors influencing green efficiency. The results show the following. First, temporally, green efficiency fluctuates while showing an overall decreasing trend; spatially, green efficiency generally decreases in this order: downstream, upstream, then midstream. Second, the change in the total factor productivity (TFP) index shows an overall increasing trend, with TFP improvement mainly attributable to technology. Third, green efficiency shows a significant spatial correlation. All provinces are in the spatial correlation network, and the network, as a whole, has strong stability. Finally, water resource endowment, water prices, government environmental control strength, and the water resources utilization structure have a significant impact on green efficiency.

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