Investigating industrial water-use efficiency in mainland China: An improved SBM-DEA model

Liu, Kaidi; Yang, Guo-liang; Yang, Duo-gui

doi:10.1016/j.jenvman.2020.110859

Cited by 54 publications

(19 citation statements)

References 37 publications

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“…This further solves the efficiency evaluation problem of polluting emissions as undesired outputs. Therefore, the SBM model has been widely used in the fields of ecological efficiency, industrial water use efficiency, and energy efficiency (Cong et al, 2021; Liu, Yang, & Yang, 2020; Zhang et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China

et al. 2021

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Based on the panel data of 277 cities in China from 2011 to 2018, this paper constructs the digital economy index and the green economy efficiency index. The research found the following: first, the digital economy has significantly improved the efficiency of the green economy in the region. Second, the digital economy has a greater impact on the efficiency of the green economy in the eastern region and large cities than in the central and western regions and small cities. Third, technological innovation is an important way for digital economy to improve the efficiency level of green economy.

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Section: Methodsmentioning

confidence: 99%

Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China

et al. 2021

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“…High developed metropolises like Jingjintang (JJT), Yangtze River Delta (YRD) and Peral River Delta (PRD) depict higher WUE index, owing to the more developed water allocation strategy and water utilizing technique. The WUE in Guangdong province is higher than the YRD (Shanghai Jiangsu), but lower than the JJT region (Liu et al, 2020;Shi et al, 2020). Although some core PRD cities, such as Guangzhou, showed the best decoupling status between the urban economic output and water usage (Wang et al, 2018b) improvement.…”

Section: Management Implicationsmentioning

confidence: 99%

“…Accurate evaluation and gradual improvement of the water utilization efficiency (WUE) are the basic steps to facilitate the sustainable development of water resources. The WUE is concomitant with labor and capital (Ding et al, 2019), and is defined as the economic value of products manufactured per unit of water resources consumed (Liu et al, 2020) WUE is closely associated with a country's economic strength and scientific-technical advancement. The United Nations has listed China as one of the 13 countries with severe water shortage, due to the low per capita water availability (less than one-quarter of the world's average level) and the inferior WUE compared with those of other countries.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Cheng

Song

Xie

2022

Front. Environ. Sci.

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In this study, we examined the temporal and spatial trends of water utilization efficiency in the highly developed Guangdong Province based on a data envelopment analysis (DEA) model and Malmquist index, trying to evaluate and predict the water utilization status in prefecture-level cities from the input–output perspective. The results showed that the water utilization efficiency in Guangdong Province in 2012–2018 was on a fluctuating upward trend, although the utilization efficiency had not reached the DEA efficiency; spatially, the water utilization efficiency in Guangdong Province was relatively high in the Pearl River Delta and the surrounding cities, but low in the Western Guangdong region; in the perspective of efficiency decomposition factors, technological change was the most pervasive driving force of the water utilization efficiency. Pearl River Delta and Northern Guangdong made progress in productivity due to the advantages of scale expansion benefit. Eastern Guangdong achieved improvement in all-over parameters and made the largest growth in water utilization efficiency, while Western Guangdong basically profited from organizational management during the study period; the prediction analysis revealed a continuous increase in the water utilization efficiency in Guangdong Province during 2019–2025 with an average annual growth rate of about 0.6%, benefiting mainly from the technological innovation and secondly from management renewal, while scale expansion benefit tended to decline. Furthermore, spatial heterogeneity exhibited a decreasing tendency in the future owing to the rapid water utilization efficiency increase in the Western and Eastern Guangdong. It is suggested that the technological innovation and the integrated management capability in water use should be paid more attention to enhance the water utilization efficiency in Guangdong Province. Achieving a balance between economic growth and water resource protection, and promoting the sustainable development of the nature-economy-society compound system is of the utmost priority in Guangdong.

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“…In order to better understand the economic impacts of virtual water trades from a regional perspective and improve the coordinated development of the whole JingJinJi region, it is useful to introduce the concept of shadow price of water, which, despite its various definitions in the literature, essentially represents the marginal contribution or benefit of water to societal objectives under the optimal allocation of water among different competing demands [21][22][23]. Data Envelopment Analysis (DEA), developed by Charnes et al [24], has been widely used to evaluate the allocation efficiency and total efficiency of resources [25][26][27][28]. DEA can be used to evaluate the water use efficiency of certain regions and therefore can be used to estimate the shadow price of water under the most optimal allocation scenario [29].…”

Section: Introductionmentioning

confidence: 99%

Unveiling Economic Co-Benefits of Virtual Water Trades: An Empirical Analysis on China’s JingJinJi Megalopolis

Liao

Han

et al. 2021

Water

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The development of metropolitan cities inevitably relies on natural resources beyond their boundary through trade of materials and products, particularly within the same urban agglomeration. Meanwhile trade facilitates the optimization of resource allocations under scarcity, among cities and sectors, and therefore generates economic gains. This study constructs an economic evaluation model combining a Multi-Regional Input-Output model and a Data Envelopment Analysis (DEA) to quantify the economic impacts of virtual water trades among the 13 cities in the JingJinJi region (China national capital area), one of the most water-scarce regions in China. We found that the total virtual water trade among the 13 cities amounted to 927 million m3 in 2012, among which agricultural sectors contributed 90% while the industrial sector and service sector together made up the remaining 10%. While Beijing and Tianjin are the main virtual water importers, importing respectively 300.48 and 226.92 million m3 in 2012, Shijiazhuang was the largest virtual water exporter, exporting 173.29 million m3 virtual water in the same year. Due to their more advanced economic conditions, Beijing and Tianjin also have the highest shadow prices of water, at respectively 912.21 and 831.86 CNY per m3, compared to a range of 79.31 to 263.03 CNY per m3 in cities in Hebei. Virtual water flows from cities in Hebei to Beijing and Tianjin thus generate economic gains. It is estimated that virtual water trades in the JingJinJi region have generated a net economic gain of 403.62 billion CNY in 2012, particularly owing to trades of agricultural products from Shijiazhuang to Beijing and Tianjin.

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Investigating industrial water-use efficiency in mainland China: An improved SBM-DEA model

Cited by 54 publications

References 37 publications

Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China

Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Unveiling Economic Co-Benefits of Virtual Water Trades: An Empirical Analysis on China’s JingJinJi Megalopolis

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