An integrated specification for the nexus of water pollution and economic growth in China: Panel cointegration, long-run causality and environmental Kuznets curve

Zhang, Chen; Wang, Yuan; Song, Xiaowei; Kubota, Jumpei; He, Yanmin; Tojo, J.; Zhu, Xiaodong

doi:10.1016/j.scitotenv.2017.07.107

Cited by 87 publications

(38 citation statements)

References 54 publications

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“…Here, COD and NH 3 -N emissions are selected as dependent variables, while the degree of economic agglomeration is used as an independent variable. Drawing on relevant existing research (Liu et al, 2015;Zhang et al, 2017;Su et al, 2018), we also select economic level, emission intensity, industrial structure, population size, and urbanization level as control variables. In order to reduce heteroscedasticity and non-stationarity among the variables, the variables are transformed into logarithmic form.…”

Section: Econometric Modelmentioning

confidence: 99%

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

2019

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Whether economic agglomeration can promote improvement in environmental quality is of great importance not only to China's pollution prevention and control plans but also to its future sustainable development. Based on the COD (Chemical Oxygen Demand) and NH 3-N (Ammonia Nitrogen) emissions Database of 339 Cities at the city level in China, this study explores the impact of economic agglomeration on water pollutant emissions, including the differences in magnitude of the impact in relation to city size using an econometric model. The study also examines the spillover effect of economic agglomeration, by conducting univariate and bivariate spatial autocorrelation analysis. The results show that economic agglomeration can effectively reduce water pollutant emissions, and a 1% increase in economic agglomeration could lead to a decrease in COD emissions by 0.117% and NH 3-N emissions by 0.102%. Compared with large and megacities, economic agglomeration has a more prominent effect on the emission reduction of water pollution in small-and medium-sized cities. From the perspective of spatial spillover, the interaction between economic agglomeration and water pollutant emissions shows four basic patterns: high agglomeration-high emissions, high agglomeration-low emissions, low agglomeration-high emissions, and low agglomeration-low emissions. The results suggest that the high agglomeration-high emissions regions are mainly distributed in the Beijing-Tianjin-Hebei region, Shandong Peninsula, and the Harbin-Changchun urban agglomeration; thus, local governments should consider the spatial spillover effect of economic agglomeration in formulating appropriate water pollutant mitigation policies.

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Section: Econometric Modelmentioning

confidence: 99%

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

2019

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“…Katz (2015) elucidated the relationship between income growth and global freshwater use and found that the existence of EKC is sector specific and highly dependent on the choice of datasets and statistical technique [28]. Zhang, Wang et al (2017) found an inverted U-shaped curved link and a long-term bidirectional causality between economic growth and COD/NH3-N discharge in China from 1990 to 2014 [29].…”

Section: Literature Reviewmentioning

confidence: 99%

The Water-Economy Nexus and Sustainable Transition of the Pearl River Delta, China (1999–2015)

Liu

et al. 2018

Sustainability

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As the world’s largest urban area in both size and population, the rapid development of the Pearl River Delta (PRD) during past three decades has been accompanied by worsening water problems. This paper examines the water-economy nexus of the PRD from the perspectives of both water use and water quality between 1999 and 2015, with a Logarithmic Mean Divisia Index decomposition model as well as an Environmental Kuznets Curve model, in order to assess the sustainable transition of the area. The results show that in this period, while the water dependency of economic development went down by a significant extent, the efficiency gains did not prevail over problems caused by economic scale expansion. However, at the city level, the 2008 financial crisis stimulated an economic transformation of the main economies from being scale-dominated to being efficiency-dominated. From 2009 to 2015, the sewage decreases driven by water dependency of Guangzhou, Shenzhen, and Dongguan outweighed the sewage increases driven by economic scale. While sewage discharge increased, the river water quality of the PRD kept improving. We found an inverted “U”-shaped relationship between GDP per capita and water quality of the PRD, with GDP per capita = ¥14,228.27 as the inflection point for river water quality. Once dubbed the “factory floor” of the world, the PRD has moved into a less environmentally impactful phase of development, with more expenditure on environmental protection and policy reform. However, given the huge and ever-increasing economic and population scales, ensuring a sufficient and safe water supply through industrial recycling and public education, along with even further pollution abatement, will be particularly important.

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“…Modelos econométricos têm sido cada vez mais usados com o objetivo de avaliar os impactos das atividades antrópicas no meio ambiente (ARRAES et al, 2012;DINIZ et al, 2009;CHIU, 2012;SCRIECIU, 2007;CHENG et al, 2018;SALAME et al, 2016;ZHANG et al, 2017;AMARE et al, 2017;SCHMOOK e VANCE, 2009). Por meio dessas abordagens, é possível identificar fatores que contribuem significativamente para mudanças ambientais, sendo de extrema utilidade para fins de gestão, possibilitando simulações de possíveis cenários futuros e direcionando esforços prioritários.…”

Section: Revisão De Modelos Econométricos Aplicados à Gestão E Conservação Ambientalunclassified

Análise De Dados Em Painel Para a Avaliação Do Desmatamento Na Amazônia Legal

Gomes¹,

Branco²,

Castro³

et al. 2021

Pesquisas Em Temas De Engenharias

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An integrated specification for the nexus of water pollution and economic growth in China: Panel cointegration, long-run causality and environmental Kuznets curve

Cited by 87 publications

References 54 publications

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

The Water-Economy Nexus and Sustainable Transition of the Pearl River Delta, China (1999–2015)

Análise De Dados Em Painel Para a Avaliação Do Desmatamento Na Amazônia Legal

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