Gray water and environmental externalities: International patterns of water pollution through a structural decomposition analysis

Incera, André Carrascal; Avelino, André Fernandes Tomon; Solís, Alberto Franco

doi:10.1016/j.jclepro.2017.07.200

Cited by 48 publications

(10 citation statements)

References 44 publications

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“…Furthermore, while the additive form of SDA is used in this study to assess the drivers of absolute water uses for household energy consumption, studies using the multiplicative form to quantify the water intensity changes and corresponding drivers will also be valuable (Su and Ang, 2015;Carrascal Incera et al 2017).…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

“…water (Lenzen and Foran, 2001;Lenzen, 2009;Wang et al 2013). Furthermore, in order to study the impacts of economic, social and technological variables on the various environmental issues, Structural Decomposition Analyses (SDA) within the Input-Output framework has been widely used (Su and Ang, 2012a;Wang et al, 2017;Carrascal-Incera et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Life-cycle water uses for energy consumption of Chinese households from 2002 to 2015

Liao

Chai

et al. 2019

Journal of Environmental Management

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China's household energy demands' life-cycle water uses from to 2015 are quantified with an Input-Output analysis disaggregating rural and urban impacts. 9.73 and 1.60 km 3 of water was withdrawn and consumed respectively in the life cycle of Chinese household energy demands in 2015, which was dominated by power and heat uses. An average urbanite's household energy uses, including coal, gas, petroleum products, power and heat, require about four times of life-cycle water uses than its rural counterpart. Among all upstream sectors, while agricultural sectors accounted for the largest shares for all energy uses, oil and gas extraction made significant contributions to petroleum products and gas consumption. A Structural Decomposition Analysis is conducted to disentangle the impacts of four driving factors, i.e. population, demand, economic structure and technology.Population change reduced energy consumption's life-cycle water use for rural households but increased that for urban households. Each economic sector's water intensity decreases, which represent technology advancement, played the dominant role curbing household energy consumption's life-cycle water uses. While power and heat dominates the household energy use profile, urbanization is accompanied by household consumption shifting from coal to gas and petroleum products. In order to reduce household energy consumption's impacts and reliance on water resources, it is imperative to reduce energy production's water use by adopting water-saving technologies, such as air cooling, as well as to reduce upstream sectors' water intensities, such as by promoting drip irrigation.

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Section: Limitations and Future Research Directionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Life-cycle water uses for energy consumption of Chinese households from 2002 to 2015

Liao

Chai

et al. 2019

Journal of Environmental Management

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“…High-speed urbanization has promoted China's 'economic miracle' (Yusuf & Saich 2008). However, its highly centralized housing model has also brought about many urban problems that are different from those in the traditional housing model (Tian 2015), such as deteriorating environment (Yuan et al 2018), low quality of life (Fang & Wang 2013), reduced arable land (Tian 2015), air and water pollution (Carrascal Incera et al 2017;Wang et al 2017a), inefficient traffic flow (Shen et al 2018), reduced groundwater levels (Kalhor & Emaminejad 2019), and urban heat island effects (Liu et al 2020;Zarrineh et al 2020). These problems are commonly associated with urban development around the world (Fang et al 2019;Wang et al 2019b).…”

Section: Introductionmentioning

confidence: 99%

A review of the progress in Chinese Sponge City programme: challenges and opportunities for urban stormwater management

Zhang

2021

Water Supply

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Urbanization has been the main driving force for China's economic growth in recent years; however, the highly concentrated urbanized lifestyle has brought many environmental problems to residents, the most urgent of which is urban stormwater management. Some countries have proposed plans for urban stormwater management, such as Low Impact Development (LID), Water Sensitive Urban Design (WSUD), Sustainable Urban Drainage Systems (SUDS). As a country with relatively underdeveloped urban stormwater management, China's government proposed an ambitious urban stormwater management plan in 2014, called the Sponge City Programme, which means that a city is designed to act like a sponge, with good ‘resilience’ in adapting to environmental changes and coping with natural disasters. As of 2021, this programme has led to SCP projects in 30 pilot districts all over China, the Sponge City Programme construction impacts both urban development and resident's life. However, there are risks and challenges associated with these projects. Using government research documents as a framework, this paper carefully reviews the progress of the Sponge City Programme in recent years and shows the main challenges faced by Sponge City Programme in terms of connotation, investment, and technology. On this basis, the paper puts forward practical suggestions for the development of the Sponge City Programme and details potential opportunities of new technology, ideology, planning, and flexible investment.

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“…Structural decomposition analysis (SDA) models based on input-output tables are widely used in research on economics, grains, energy, the environment, and other areas [5][6][7][8][9]. Moreover, there has been an increase in the use of this method in water resource and wastewater research [10][11][12]. Rose and Chen [13] argue that the essence of SDA is the use of key parameters in the input-output table for comparative static analysis of economic system changes.…”

Section: Introductionmentioning

confidence: 99%

Decomposing the Driving Factors of Water Use in China

Xi-feng

Liu

et al. 2019

Sustainability

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Based on the national input–output table, a comparable price non-competitive input–output table was compiled for 2002, 2007, and 2012. The influence factors of price and product imports were removed from the table. Furthermore, a water-use input–output table was constructed based on the links between the economic system and water resources management. With the multi-factor structural decomposition analysis (SDA) model developed in this paper, the driving forces of water use were decomposed into 18 factors, and quantitative effect results were obtained. Total water use in China increased by 3.9% from 2002 to 2007 and by 5.4% from 2007 to 2012 with the combined effects of multiple factors. For example, the increase in economic scale raised water use by 46.6% and 45.5%, respectively. Advancement in agricultural technology (production and water-saving technologies) reduced water use by 14.9% and 19.8%, respectively. Reducing the proportion of thermal/nuclear power and increasing the price of electricity have water use-reducing effects. Changes in the mode of development considerably reduced water use by 9.5% and 5.3%, respectively. Water-use management should focus on factors that have great influence on water use and show high water-use sensitivity.

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Gray water and environmental externalities: International patterns of water pollution through a structural decomposition analysis

Cited by 48 publications

References 44 publications

Life-cycle water uses for energy consumption of Chinese households from 2002 to 2015

Life-cycle water uses for energy consumption of Chinese households from 2002 to 2015

A review of the progress in Chinese Sponge City programme: challenges and opportunities for urban stormwater management

Decomposing the Driving Factors of Water Use in China

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