Regional water footprint evaluation and trend analysis of China—based on interregional input–output model

Deng, Guangyao; Ma, Yong; Li, Xia

doi:10.1016/j.jclepro.2015.07.129

Cited by 76 publications

(31 citation statements)

References 26 publications

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“…The previous studies calculated the WF mainly by IOA method and a summation method based on blue water, green water and grey water WF (BGG). After verification, we found that the results of the researches [20,29,31,48] based on the IOA and its extension methods are almost identical to our results, in the same region (basin or province) and the same period of time. However, the IOAs have certain limitations.…”

Section: Discussionsupporting

confidence: 74%

“…Their sum is 76.68 billion m 3 , nearly the total WF of 79.12 billion m 3 . A number of water footprint studies have been conducted for China in general and for the Yellow River Basin [16,20,29,31,47,48]. The previous studies calculated the WF mainly by IOA method and a summation method based on blue water, green water and grey water WF (BGG).…”

Section: Discussionmentioning

confidence: 99%

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Water Footprint Calculation on the Basis of Input–Output Analysis and a Biproportional Algorithm: A Case Study for the Yellow River Basin, China

Yin

Wang

Yan

2016

Water

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Abstract:In the Yellow River basin, China, ecosystems suffer from the overexploitation and utilization of water resources, resulting in various environmental impacts. Consideration must be given to both human and ecosystem water requirements in water resources management. A water footprint (WF) is a tool for estimating industrial, agricultural, commercial and household water requirements and for examining the impact of consumption on water resources. The study attempts to establish an approach to analyse the dynamic processes and driving forces that result in certain WFs. Using input-output tables for provinces and municipalities, we calculate water use coefficients, the total WF and the net external WF of consumption in China's Yellow River Basin. A biproportional algorithm is employed to revise the input-output tables for analysing the temporal dynamics of the WF. The factor analysis and linear regression were used to analyse the main influencing factors of WF. Results indicate that the coefficient for water use by primary industries is highest and that coefficients for provincial water use differ significantly. Second, household consumption and residuals from capital accumulation constituted approximately half of the total WF of the Yellow River basin in 2002 and also differed significantly among provinces. Third, the ratio of the net external WF to the total WF increased, and the ratio of final consumption to the total WF declined during the period examined. Fourth, output by secondary industries correlated most strongly with the WF, followed by area under irrigation, per capita meat consumption, water consumption per 10,000-yuan increase in added value and population.

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Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Water Footprint Calculation on the Basis of Input–Output Analysis and a Biproportional Algorithm: A Case Study for the Yellow River Basin, China

Yin

Wang

Yan

2016

Water

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“…(2) SDA method also was used to study drives of energy consumption in the following countries (areas):India (Das and Paul, 2013), China (Li et al, 2014;Zeng et al, 2014;Zhang and Lahr, 2014). (3) Still, SDA was used to research on drives of water resources management: Japan (Kondo, 2005), China (Zhang et al, 2012;Deng et al, 2016), Spanish (Duarte et al, 2014). However, in this paper, SDA was applied to check the variation of air pollutants embodied in goods consumption and trade in China from 1995 to 2009 and its structural decomposition analysis.…”

Section: Introductionmentioning

confidence: 99%

“…In our paper, SDA and MIRO model is applied together to answer drives of air pollutants embodied in goods consumed and traded in China. Indeed, regions in China have been studied by MIRO model (Deng et al, 2016). It is neglected that China can be studied as a country or an area in the world.…”

Section: Introductionmentioning

confidence: 99%

The study on the air pollutants embodied in goods for consumption and trade in China – Accounting and structural decomposition analysis

Deng

Ding

Ren

2016

Journal of Cleaner Production

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“…For this reason, different footprints have been developed to assess the human pressures on nature, such as the carbon footprint, the water footprint, and the toxicological footprint (Deng et al. ; Ottelin et al. ; Feng et al.…”

Section: Introductionmentioning

confidence: 99%

Organization Environmental Footprint through Input‐Output Analysis: A Case Study in the Construction Sector

Martínez

Arroyo²,

Marín

et al. 2018

J of Industrial Ecology

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Summary The implementation of global sustainability has gained worldwide attention in recent years. The Organization Environmental Footprint, which encompasses 14 impact categories, is a multicriteria measure of the environmental performance of goods and services provided by an organization from a life cycle perspective. In this article, the focus is on quantifying the Organization Environmental Footprint of a construction company in Spain. By applying an environmentally extended input‐output approach, its total footprint and impacts along the supply chain from two consecutive years were calculated. The results show that the environmental impacts from the second year of implementation were significantly higher than those from the first year. The impact category climate change was found to have experienced the greatest increase from one year to the other, with a 31% increase. This work provides an overview of 14 environmental impact categories of the company assessed, as well as recommendations for the implementation of this indicator in companies and public procurement. This approach could pave the way to shape organizations’ action plans and meet the European environmental challenges.

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Regional water footprint evaluation and trend analysis of China—based on interregional input–output model

Cited by 76 publications

References 26 publications

Water Footprint Calculation on the Basis of Input–Output Analysis and a Biproportional Algorithm: A Case Study for the Yellow River Basin, China

Water Footprint Calculation on the Basis of Input–Output Analysis and a Biproportional Algorithm: A Case Study for the Yellow River Basin, China

The study on the air pollutants embodied in goods for consumption and trade in China – Accounting and structural decomposition analysis

Organization Environmental Footprint through Input‐Output Analysis: A Case Study in the Construction Sector

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