Measuring urban integrated water use efficiency and spatial migration path in China: A dynamic two-stage recycling model within the directional distance function

Zhang, Lina; Zhuang, Yuan; Chiu, Yung‐ho; Pang, Qinghua; Chen, Zhanbo; Shi, Zhen

doi:10.1016/j.jenvman.2021.113379

Cited by 19 publications

(7 citation statements)

References 36 publications

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“…According to the relevant literature on sensitivity analyses [69,70], and in conjunction with the actual status of the indicators, there are 19 indicators in this paper. The calculated minimum indicator weight value is 0.00541, while the others are generally in the range of 0.01 to 0.09.…”

Section: Weights Of Indicatorsmentioning

confidence: 99%

A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources

Xu,

Yuan,

et al. 2023

Sustainability

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Virtual water exerts an indispensable influence on water resources, yet the existing studies on the water rights allocation of transboundary rivers hardly consider virtual water transfer (VWT). Therefore, in this paper, we used Taihu Lake as an example with data collected in 2017 that described both physical and virtual water use. We used these data to evaluate water rights allocation schemes by coupling virtual and physical water use. In order to achieve this goal, we first determined the physical water rights allocated for the four regions connected to the Basin. Next, we employed the multi-regional input–output (MRIO) approach to calculate the VWT among the four regions; then, we converted the VWT to the riparian level via the water efficiency coefficient. Finally, with virtual water included in the physical water rights allocation, we formulated a final water rights allocation for Taihu Lake. The results showed the following findings: (1) The ranking of the amount of physical water rights allocation is: Jiangsu > Zhejiang > Shanghai > Anhui. (2) Anhui and Jiangsu produce a net export of virtual water (2.259 billion m3 and 1.78 billion m3, respectively), while Zhejiang and Shanghai have a net import of virtual water (2.344 billion m3 and 1.695 billion m3, respectively), indicating that Anhui houses more water-consuming industries and is in greater need of economic restructuring. (3) The integration of virtual water makes a difference: Jiangsu achieved 16.208 billion m3 in terms of the amount of water rights allocated, Zhejiang achieved 6.606 billion m3, Shanghai achieved 3.040 billion m3, and Anhui achieved 4.319 billion m3, with a ranking of Jiangsu > Zhejiang > Anhui > Shanghai. The results detailed above prove that virtual water exerts an indispensable influence, and integrating virtual water can make the physical water rights allocation of transboundary rivers more equal and reasonable.

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Section: Weights Of Indicatorsmentioning

confidence: 99%

A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources

Xu,

Yuan,

et al. 2023

Sustainability

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“…The non-radial DDF is an approach that Färe et al. (2005) proposed, and it has been used extensively by several scholars ( Ma et al., 2019 ; Zhang et al., 2021 ; Zhou et al., 2019 ) in the fields of business, environmental, and energy efficiency evaluation. For instance, Wang and Choi (2019) employed the global nonradial DDF to investigate the challenges of urban-industry activities on sustainable water use in Korea.…”

Section: Introductionmentioning

confidence: 99%

“…(2019) measured the environmental efficiency of China's industrial water consumption from 2011 to 2015. In the same vein, Zhang et al. (2021) used the DDF's dynamic two-stage recycling model to measure urban WUE and the spatial migration path of 30 provinces in China.…”

Section: Introductionmentioning

confidence: 99%

Appraising the spillover effect of water use efficiency indicators in sub- Saharan Africa: A spatial econometric approach

Addae

Sun²,

Abban³

et al. 2022

Heliyon

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“…Whether solid waste recycling can truly achieve green manufacturing and improve the overall efficiency of the production process must be scientifically evaluated through reasonable methods [11]. The purpose of solid waste recycling is to reduce the input of resources in the production system and the output of waste so as to optimize the production process [12]. Data envelopment analysis (DEA) is one of the most effective decision-making tools and a non-parametric system analysis method that calculates the relative effectiveness of multiinput and multi-output decision-making units (DMUs) of the same type based on linear programming [13].…”

Section: Introductionmentioning

confidence: 99%

“…Each DEA model without a fuzzy number is established by Equation (12), which can fully explain the relationships between the inputs and the desirable/undesirable outputs.…”

mentioning

confidence: 99%

The Fuzzy DEA-Based Manufacturing Service Efficiency Evaluation and Ranking Approach for a Parallel Two-Stage Structure of a Complex Product System on the Example of Solid Waste Recycling

et al. 2022

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Accurate production efficiency evaluation can assist enterprises in adjusting production strategies, improving production efficiency, and, thereby, weakening environmental impacts. However, the current studies on production efficiency evaluation do not accurately consider interactions inside the production system in parallel production processes. Based on the concept of the manufacturing service, this paper describes the production process of a complex product system (CoPS) with a manufacturing service chain. An efficiency calculation model based on the triangular intuitionistic fuzzy number–solid waste recycling–super-efficiency data envelopment analysis (TIFN-SWR-SDEA) is proposed under the consideration of the internal parallel structure of the production system on the example of solid waste recycling. Additionally, the technique for order preference by similarity to ideal solution (TOPSIS) method and the entropy weight method were combined to determine the proportion of solid waste recycling, and an improved proposed index rank (PIR) method was employed to rank the efficiency interval results. Finally, the effectiveness and superiority of the method were verified by comparative analysis. The results show that the overall efficiency of the CoPS production system can be improved by using green manufacturing technology, increasing the recycling of renewable resources, using clean energy, and improving the utilization rate of materials in the production process.

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Measuring urban integrated water use efficiency and spatial migration path in China: A dynamic two-stage recycling model within the directional distance function

Cited by 19 publications

References 36 publications

A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources

A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources

Appraising the spillover effect of water use efficiency indicators in sub- Saharan Africa: A spatial econometric approach

The Fuzzy DEA-Based Manufacturing Service Efficiency Evaluation and Ranking Approach for a Parallel Two-Stage Structure of a Complex Product System on the Example of Solid Waste Recycling

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