2020
DOI: 10.3390/su12062263
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An Empirical Study of the Impact of Urbanization on Industry Water Footprint in China

Abstract: How to advance new urbanization initiatives and reduce the water footprint of industries is one urgent issue about urbanization that needs to be resolved. Based on spatial dynamic panel data, we used the system GMM (Generalized Method of Moments) to study the impact of urbanization on the industrial water footprint. The results show that, overall, urbanization increases the industrial water footprint, industrial virtual water footprint, and industrial gray water footprint in China. There are sectoral and regio… Show more

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Cited by 12 publications
(9 citation statements)
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References 35 publications
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“…Their results showed that improving urbanization quality is conducive to improving water resource use efficiency. Improving urbanization level and speed is not conducive to improving WRUE [23,24]. Meinzen-Dick and Appasamy found that since the WRUE of the primary industry was lower than that of the secondary and tertiary industries, urbanization improved WRUE by reducing the proportion of WRU of the primary industry and increasing that of the secondary and tertiary industries [25].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Their results showed that improving urbanization quality is conducive to improving water resource use efficiency. Improving urbanization level and speed is not conducive to improving WRUE [23,24]. Meinzen-Dick and Appasamy found that since the WRUE of the primary industry was lower than that of the secondary and tertiary industries, urbanization improved WRUE by reducing the proportion of WRU of the primary industry and increasing that of the secondary and tertiary industries [25].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Currently, a minimal number of studies have examined the influencing factors of WEC. This paper refers to the academic research on the impact of urbanization on water resource utilization efficiency and quantity [23,27]. In this paper, WEC is the explained variable, and NU is the explanatory variable.…”
Section: Model Constructionmentioning
confidence: 99%
“…The water ecological system includes 10 indicators, such as annual precipitation, surface water resources, and groundwater resources; the water economic system includes 9 indicators such as the water consumption per 10,000 USD of added value of manufacturing, the water consumption per 10,000 USD of GDP, and the average water consumption per mu of farmland irrigation; the water social system mainly includes 2 indicators such as the per capita park green space area and the green coverage rate of built-up areas. Based on the existing literature on the impact factors of water resources utilization, water pollution control, and water resources carrying capacity [34][35][36][37], we specify the water ecological civilization score (WE) as the dependent variable and take economic growth (EG), industrial structure (IN), urbanization level (UR), education investment (ED), government governance level (GI), and environmental pollution (HJ) as the independent variables. We construct and estimate the following models:…”
Section: Construction Of Indicator Systemmentioning
confidence: 99%
“…Zhu et al used quantitative analysis methods to discuss the impact factors of water ecological civilization [21]; they only analyzed the relationship between new urbanization and water ecological civilization through the unit root and Granger causality test, and did not construct a panel data model for empirical analysis of the impact factors, Fan et al only used water ecological civilization as an explanatory variable, and used PSM-DID to verify whether water ecological civilization can improve China's total factor production efficiency [22]. Scholars mainly discuss the influencing factors of ecological civilization, water resource utilization efficiency, water pollution, water footprint, and water resources carrying capacity [23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…This paper makes the following two contributions to the existing literature: first, the scope of this paper includes service quality in China's water market, and the empirical study builds on the context of China's water market reform. So far, scholars have not fully studied this issue [17]. Secondly, the article's innovation is to establish the water industry service quality system using the data envelopment analysis (DEA) model to calculate the quality of output efficiency, prove the significant effect on the quality of the measure of efficiency, and further explore China's water industry in 2005-2016 to maintain the quality of opportunity cost by analyzing the specific impact on the efficiency of service quality.…”
Section: Introductionmentioning
confidence: 99%