Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect

China is now faced with severe water shortage and water pollution. To solve the problems, it is imperative to improve the industrial water resource utilization efficiency (IWRUE). Firstly, the authors established an evaluation index system of the IWRUE, including an undesirable output. Next, the dir...

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Main Authors: Deling Zou, Haibin Cong
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820303203
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spelling doaj-22ae43e6c81c476684cf942ca01ba18d2021-06-02T19:59:44ZengElsevierAlexandria Engineering Journal1110-01682021-02-01601173182Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effectDeling Zou0Haibin Cong1Ningbo University of Finance & Economics, Ningbo 315175, ChinaBusiness School, Ningbo University, Ningbo 315211, China; Corresponding author.China is now faced with severe water shortage and water pollution. To solve the problems, it is imperative to improve the industrial water resource utilization efficiency (IWRUE). Firstly, the authors established an evaluation index system of the IWRUE, including an undesirable output. Next, the directional distance function (DDF) model was adopted to measure the IWRUEs of 30 provincial administrative regions (provinces) in China in 2005–2016. After that, the Global Moran’s I was employed to test the presence of spatial effect of regional IWRUEs. Based on provincial panel data, the factors affecting the IWRUE were explored by the spatial econometric model. The results show that: In 2005–2016, only four provinces (Beijing, Tianjin, Shanghai, and Guangdong) achieved the optimal IWRUE, while the other provinces need to further improve their IWRUEs. Most high-IWRUE provinces belong to the eastern coastal region. By contrast, inland provinces in central and western China did not output desirable IWRUEs, and should vigorously implement industrial water conservation. The IWRUEs of eastern, central, and western China changed differently in 2005–2016. The IWRUE of eastern China was much better than that of central China and western China. Global Moran’s I values indicate a significant spatial correlation between provincial IWRUEs. Adjacent provinces tend to have highly similar IWRUEs. Finally, the IWRUE is greatly promoted by natural resource endowment, economic development level, degree of industrialization, and technical progress, but significantly suppressed by industrial water utilization intensity, and environmental regulation.http://www.sciencedirect.com/science/article/pii/S1110016820303203Industrial water resource utilization efficiency (IWRUE)Spatial effectInfluencing factorsDirectional distance function (DDF) model
collection DOAJ
language English
format Article
sources DOAJ
author Deling Zou
Haibin Cong
spellingShingle Deling Zou
Haibin Cong
Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
Alexandria Engineering Journal
Industrial water resource utilization efficiency (IWRUE)
Spatial effect
Influencing factors
Directional distance function (DDF) model
author_facet Deling Zou
Haibin Cong
author_sort Deling Zou
title Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
title_short Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
title_full Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
title_fullStr Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
title_full_unstemmed Evaluation and influencing factors of China’s industrial water resource utilization efficiency from the perspective of spatial effect
title_sort evaluation and influencing factors of china’s industrial water resource utilization efficiency from the perspective of spatial effect
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2021-02-01
description China is now faced with severe water shortage and water pollution. To solve the problems, it is imperative to improve the industrial water resource utilization efficiency (IWRUE). Firstly, the authors established an evaluation index system of the IWRUE, including an undesirable output. Next, the directional distance function (DDF) model was adopted to measure the IWRUEs of 30 provincial administrative regions (provinces) in China in 2005–2016. After that, the Global Moran’s I was employed to test the presence of spatial effect of regional IWRUEs. Based on provincial panel data, the factors affecting the IWRUE were explored by the spatial econometric model. The results show that: In 2005–2016, only four provinces (Beijing, Tianjin, Shanghai, and Guangdong) achieved the optimal IWRUE, while the other provinces need to further improve their IWRUEs. Most high-IWRUE provinces belong to the eastern coastal region. By contrast, inland provinces in central and western China did not output desirable IWRUEs, and should vigorously implement industrial water conservation. The IWRUEs of eastern, central, and western China changed differently in 2005–2016. The IWRUE of eastern China was much better than that of central China and western China. Global Moran’s I values indicate a significant spatial correlation between provincial IWRUEs. Adjacent provinces tend to have highly similar IWRUEs. Finally, the IWRUE is greatly promoted by natural resource endowment, economic development level, degree of industrialization, and technical progress, but significantly suppressed by industrial water utilization intensity, and environmental regulation.
topic Industrial water resource utilization efficiency (IWRUE)
Spatial effect
Influencing factors
Directional distance function (DDF) model
url http://www.sciencedirect.com/science/article/pii/S1110016820303203
work_keys_str_mv AT delingzou evaluationandinfluencingfactorsofchinasindustrialwaterresourceutilizationefficiencyfromtheperspectiveofspatialeffect
AT haibincong evaluationandinfluencingfactorsofchinasindustrialwaterresourceutilizationefficiencyfromtheperspectiveofspatialeffect
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