2020
DOI: 10.1016/j.jclepro.2020.121789
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Decomposition and attribution analysis for assessing the progress in decoupling industrial development from wastewater discharge in China

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Cited by 26 publications
(5 citation statements)
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“…Decoupling analysis assesses the degree of decoupling between the economy and the environment by comparing their respective growth rates. A decoupling relationship occurs when the economy grows faster than the associated environmental consequences, while a negative decoupling relationship indicates the opposite (Xing et al, 2020). The decoupling index between industrial water withdrawal (IWW) and industrial output is calculated using Equation 1:…”
Section: Decoupling Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Decoupling analysis assesses the degree of decoupling between the economy and the environment by comparing their respective growth rates. A decoupling relationship occurs when the economy grows faster than the associated environmental consequences, while a negative decoupling relationship indicates the opposite (Xing et al, 2020). The decoupling index between industrial water withdrawal (IWW) and industrial output is calculated using Equation 1:…”
Section: Decoupling Analysismentioning
confidence: 99%
“…Thus, the Tapio model is used in this research. Xing et al (Xing et al, 2020) used the decoupling model to assess industrial development from wastewater in China. The decoupling results show a growing decoupling trend between industrial output and industrial water demand during the last 15 years.…”
Section: Introductionmentioning
confidence: 99%
“…The main advantages of the LMDI methodology are its theoretical foundations, ease of practice and interpretation, its ability to explain changes of an indicator at a sectorial level, its low data requirement, high adaptability, and consistent aggregation (Ang, 2005; Fujii and Kondo, 2018). Furthermore, it has the advantage of resolving the problem of residual term (part not explained by the model) in the decomposition results and has been widely applied to studies on environmental issues like resource and energy consumption, climate change, CO 2 generation, or waste (Akyürek, 2020; Chen and Lin, 2020; Wen and Li, 2020; Xing et al, 2020). The main disadvantage is that LMDI cannot show how much of the variation in the dependent variable (waste generation) is explained by the chosen explanatory variable (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…This may be perceived as a concern since the universal goal worldwide is to decouple economic growth from waste generation, and thus the logical assumption of economic activity as a driver may be challenged if no accompanying analysis is performed. Decoupling analysis can describe the dynamic relationship between the economic activity and the environmental impact, while decomposition analysis can effectively identify socio-economic factors that cause environmental pressures (Hang et al, 2019; Xing et al, 2020). To support the inclusion of economic activity in our LDMI model, in our article, we examine whether there is a decoupling of economic activity and waste generation in ELV disposal.…”
Section: Introductionmentioning
confidence: 99%
“…In recent decades, China has made tremendous social and economic growth, which has been accompanied by the increased water consumption, resulting in the generation of a massive volume of wastewater. The total wastewater discharge and municipal wastewater discharge rose from 41.5×10 9 m 3 to 73.5×10 9 m 3 , and from 22.1×10 9 m 3 to 53.5×10 9 m 3 , respectively, between 2000 and 2015 [1], causing serious water pollution, destroying hydrological systems, exacerbating existing water scarcity, creating huge economic losses, and impeding China's economic and social development [2][3][4]. Water contamination is a serious issue that is causing increasing social concern.…”
Section: Introductionmentioning
confidence: 99%