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author:

Feng, L. (Feng, L..) [1] | Liu, T. (Liu, T..) [2] | Yang, Z. (Yang, Z..) [3] | Shi, Y. (Shi, Y..) [4] | Chen, H. (Chen, H..) [5] | Chan, K.L. (Chan, K.L..) [6] | Chen, B. (Chen, B..) [7]

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Scopus

Abstract:

The Yangtze River Delta (YRD) occupies 2.1% of China's territory but accounts for 1/4 of its GDP. Boosting efficiency of industrial water resources in YRD will drastically decrease water pollution and resource constraints. The current paper employed Network Super-SBM and the Global Malmquist-Luenberger index to evaluate industrial water use efficiency and wastewater treatment efficiency of YRD’ cities. Furthermore, digital inclusive finance and green innovation are introduced to investigate the mechanisms underlying their influence on the overall industrial water resources efficiency. The empirical findings posts that: (1) there is still room to improve the overall efficiency, especially the water treatment efficiency; (2) the MI value of each stages in most samples is greater than 1, indicating that the water treatment efficiency and water use efficiency are improving. It is mainly driven by the improvement of the efficiency of the management; (3) there are substantial differences in water resource efficiency among metropolitan areas, with Nanjing-metropolitan areas and Hefei-metropolitan areas having higher water use efficiency and water treatment efficiency for both stages, while Hangzhou-metropolitan areas and Shanghai-metropolitan areas have lower water treatment efficiency. As shown by the Kernel density Estimation, the degree of efficiency dispersion within same metropolitan area is reducing; and (4) digital inclusive finance will boost overall efficiency and water treatment efficiency, with green innovation as a mediating factor. The findings herein offer compelling evidence that financial development increases the effectiveness of water resources, introduce fresh perspectives for the government to put forward water-related policies, and provide ideas for high-quality economy. © The Author(s) 2024.

Keyword:

Digital inclusive finance Efficiency evaluation Network super-SBM Water resource Yangtze River Delta

Community:

  • [ 1 ] [Feng L.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, Macao
  • [ 2 ] [Feng L.]International Business School, Fuzhou University of International Studies and Trade, Fujian, Fuzhou, 350202, Hungary
  • [ 3 ] [Liu T.]School of Economics and Management, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 4 ] [Yang Z.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, Macao
  • [ 5 ] [Shi Y.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, Macao
  • [ 6 ] [Chen H.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, Macao
  • [ 7 ] [Chan K.L.]Faculty of Humanities and Social Sciences, Macao Polytechnic University, 999078, Macao
  • [ 8 ] [Chen B.]School of Economics, Guangdong Peizheng College, Guangdong, Guangzhou, 510830, China

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Source :

Applied Water Science

ISSN: 2190-5487

Year: 2025

Issue: 1

Volume: 15

5 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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