Water resources utilization efficiency and influence factors under environmental restrictions

Song, Malin; Wang, Rui; Zeng, Xiaoqian

doi:10.1016/j.jclepro.2018.02.259

Cited by 164 publications

(102 citation statements)

References 22 publications

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“… Capital input. Song, Wang, and Zeng () selected fixed asset investments as the variable to represent capital when studying inter‐provincial water resource utilization efficiency in China, expressed as the amount of fixed assets investments. Currently, the data published in China's statistical yearbooks are all nominal values.…”

Section: Data Sourcesmentioning

confidence: 99%

“…China's 12th Five‐Year Plan included two major pollutants—chemical oxygen demand and sulfur dioxide (SO 2 )—in its total pollutant control system. Song et al () selected industrial wastewater as an undesirable output when studying water resource utilization efficiency. This index is expressed as the discharge of industrial wastewater and SO 2 from each city in Shanxi Province.…”

Section: Data Sourcesmentioning

confidence: 99%

“…Undesirable output. China's 12th Five-Year Plan included two major pollutants-chemical oxygen demand and sulfur dioxide (SO 2 )-in its total pollutant control system Song et al (2018). selected industrial wastewater as an undesirable output when studying water resource utilization efficiency.…”

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confidence: 99%

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Total factor productivity and the factors of green industry in Shanxi Province, China

Song

2019

Growth and Change

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Based on industrial panel data from 11 prefecture‐level cities in Shanxi Province from 2008 to 2016, two kinds of total factor productivity (TFP) are measured: With and without the consideration of environmental factors. The specific decomposition of TFP under these two conditions is then discussed. Finally, the factors of TFP are studied in a green industry context. The results indicate the following: (a) The TFP's annual growth rate considering environmental conditions is higher than that without such consideration; (b) if environmental factors are neglected, TFP improvements primarily depend on technological progress; (c) when considering environmental factors, both technological progress and improved technological efficiency promote the growth of green TFP (GTFP), but this still primarily depends on substantial technological progress, with an annual average growth rate that reaches 10.2%; and (d) among factors, the economic development level, degree of openness, and urbanization positively correlate with the GTFP, while the industrial structure and degree of informatization significantly and negatively correlate with GTFP.

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Section: Data Sourcesmentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

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Total factor productivity and the factors of green industry in Shanxi Province, China

Song

2019

Growth and Change

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“…It should be noted that water efficiency analysis aims to not only evaluate the water efficiency of regions, but also reveal determinants for regional differences so that policymakers could focus on those factors when formulating policies and measures to improve water efficiency. Literature on the analysis of factors influencing water efficiency is abundant [15,[37][38][39][40][41][42][43]. For instance, Ding et al [42] and Wang et al [43] both utilized the DEA-Tobit model to investigate water use efficiency and its contributing factors in China.…”

Section: Introductionmentioning

confidence: 99%

Re-Examining Regional Total-Factor Water Efficiency and Its Determinants in China: A Parametric Distance Function Approach

Zheng

Zhang

Xing

2018

Water

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It is accepted that improving water efficiency is a key task for China in achieving water sustainability, as the knowledge of water efficiency and its determinants can provide critical information for water policy formulation. To this end, this paper presents a parametric frontier approach to analyze water efficiency performance and its influencing factors in one step. The proposed approach first introduces the Shephard water distance function to construct total-factor water efficiency (TFWE) index and then adopts the stochastic frontier analysis (SFA) technique to compute the index and its determinants. A case study of regions in China from 2000 to 2015 is presented. The main findings are summarized as follows: (1) Both the overall China and most of the regions still have room for improvement in water efficiency. SFA and data envelopment analysis (DEA) might lead to different results in benchmarking water efficiency. Moreover, SFA has higher discriminating power than DEA in this regard. (2) There exists significant disparity of water efficiency among the regions of China, and the difference in TFWE takes on a U-shaped evolution trend, which first decreases in a fluctuation way and then increases monotonically. (3) Factors like industrial structure, import and export trade, environmental regulation and urbanization level have a positive impact on water efficiency, while resource endowment and economic level exhibit negative and nonlinear effects, respectively. Finally, several policy recommendations are made to improve water efficiency levels and promote water sustainability.

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“…The average water resources per person each year in Beijing, Tianjin, Hebei, Shanghai, Shandong and Ningxia was under 300, which is considered extremely low water resources (Li et al, 2017). Over 400 cities among about 600 cities in China are confronted with serious water shortage (Song et al, 2018). Although water resources are relatively rich in southern China, water pollution results in water shortage for many cities in southern China.…”

Section: Water Resources Stressmentioning

confidence: 99%

Identify driving forces of MBR applications in China

Liu

et al. 2019

Science of The Total Environment

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During the last two decades, MBR applications in China grow exponentially with the first pilot test of 10 m/d in 1999 and the first application with capacity of 110,000 m/d commissioned in 2009. It is critical to examine the drivers of MBR applications in China, which can provide sound scientific basis for future development of MBR applications. This study summarized the historical development of MBR applications and analyzed the driving forces by survey, literature review and interviews with MBR suppliers. The results showed that: (1) technical advantages of MBR and public policy related to water resources and environment promoted MBR beyond lab and pilot test into wide commercial applications in China; (2) petrochemical industry needs for wastewater treatment and reuse promoted medium-scale MBRs as public policy and regulation on water resources and environment tightens; (3) when the breakthrough of capacity of a single project above 10 thousand m/d, the Green Olympic Games and Asian Games and tightening effluent regulations in environmentally sensitive areas incentivized MBR applications; and (4) the emergence of 100,000 m/d MBR was mainly stimulated by water resources stress. Water resources stress and public policy related on resources and the environment are the primary driving forces in the last several decades. The future drivers of MBR applications in China appear to be decreasing operation cost.

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Water resources utilization efficiency and influence factors under environmental restrictions

Cited by 164 publications

References 22 publications

Total factor productivity and the factors of green industry in Shanxi Province, China

Total factor productivity and the factors of green industry in Shanxi Province, China

Re-Examining Regional Total-Factor Water Efficiency and Its Determinants in China: A Parametric Distance Function Approach

Identify driving forces of MBR applications in China

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