An analysis of the relation between water pollution and economic growth in China by considering the contemporaneous correlation of water pollutants

Cai, H.; Mei, Yadong; Chen, Junhong; Wu, Zhenhui; Lan, Lan; Zhu, Dejun

doi:10.1016/j.jclepro.2020.122783

Cited by 62 publications

(31 citation statements)

References 45 publications

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“…It estimates the relationship between dependent variables and independent variables through a best-fit curve, considering all local scattered points. Cai et al (2020) and Lawell et al (2018) used a non-parametric estimation model (LOWESS) to analyze the EKC relationship between water pollution and economic growth. However, the LOWESS model cannot analyze the panel data theoretically.…”

Section: Introductionmentioning

confidence: 99%

An analysis of the relationship between water-energy-food system and economic growth in China based on ecological footprint measurement

Huang

et al. 2022

Water Policy

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With the acceleration of urbanization, the demand for water, energy and food (WEF) keeps increasing. However, the infrastructure construction leads to a sharp decline of cultivated land, water area and forest land, so the importance of ecological space management should be recognized. Based on ecological footprint theory, this paper proposes the WEF footprint and first attempts to explicitly examine the relationship between economic growth and WEF footprint by investigating the existence of an Environmental Kuznets Curve (EKC). GLS regression and the LOWESS model are used to explore the economic growth and WEF footprint nexus in the eight economic zones and the three regions of China. The results indicate that besides the traditional EKC shapes, an M-shape exists, and the proportion of the M-shape curve (12.5%) is lower than the traditional EKC (87.5%). The results showed that the LOWESS model may be more conducive to reflect the real relationship between economic growth and WEF footprint. According to the analysis, the policy suggestions are put forward to promote the sustainable development of the water-energy-food system. In addition, the study can provide some ideas for solving the contradiction of land use.

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Section: Introductionmentioning

confidence: 99%

An analysis of the relationship between water-energy-food system and economic growth in China based on ecological footprint measurement

Huang

et al. 2022

Water Policy

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“…Eutrophication, which is primarily attributed to the continuous increase in the input of essential nutrients into the aquatic systems, such as phosphorus and nitrogen (Guan et al, 2020), results in adverse impacts on ecological functions provided by water resources (Amé et al, 2003;Mendoza et al, 2015;Cai et al, 2020). Although eutrophication is a slow natural process, it can be sharply accelerated by human activities posing potential risks to human health and sustainable development (Ferral et al, 2018;Le Moal et al, 2019;Lin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Advances in remote sensing technology have considerably improved the assessment of a long time-series of LULC change (Huang et al, 2002;Fukushima et al, 2007;Huang et al, 2014;Loveland and Irons, 2016;Gómez et al, 2016;Wei et al, 2020), variations in water quality (Tebbs et al, 2013;Chen et al, 2014;Villa et al, 2014;González-Márquez et al, 2018;Zhou et al, 2018;Bonansea et al, 2019;Elhag et al, 2019;Germán et al, 2020;Kiage and Douglas, 2020;Li et al, 2020, Torregroza-Espinosa, et al 2020) and eutrophication causes (Smith and Schindler, 2009;Mendoza et al, 2015;Padedda et al, 2017;Bhagowati and Ahamad, 2019;Le Moal et al, 2019;Cai et al, 2020). However, to the best of our knowledge, studies that relate LULC change and reservoir water quality are scarce and dispersed, particularly in the Southern hemisphere.…”

Section: Introductionmentioning

confidence: 99%

Assessing land use and land cover change in Los Molinos reservoir watershed and the effect on the reservoir water quality

Bonansea

Bazán

Germán

et al. 2021

Journal of South American Earth Sciences

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“…Many studies have conducted an environmental impact assessment from agriculture (Kamyab et al, 2016;Elahi et al, 2018a;Abid et al, 2019;Dai et al, 2019), animal husbandry (Elahi et al, 2018b(Elahi et al, , 2019b, and industry (Peng et al, 2018) and attributed water ecological and environmental problems to economic growth (Choi et al, 2015;Liu et al, 2016;Cai et al, 2020), population expansion (Fan and Fang, 2020), environmental regulation (ER) (Pan and Tang, 2021), cross-regional trade (Wu and Ye, 2020), and land planning (Peng et al, 2019;Elahi et al, 2020;Wu et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Urban Manufacturing Agglomeration on the Quality of Water Ecological Environment Downstream of the Three Gorges Dam

Huang

You

2021

Front. Ecol. Evol.

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As an important way to promote economic growth and to improve ecological environment quality, industrial agglomeration strategy has been widely accepted and implemented in various regions of China. In theory, industrial agglomeration is conducive to reducing pollution emissions. However, this needs to be tested in reality. The purpose of this paper is to test the impacts of manufacturing industry agglomeration on the quality of water ecological environment in 17 prefecture-level cities downstream of the Three Gorges Dam. Therefore, a theoretical model was established to test the direct and indirect effects. Empirically, results show that the direct effect of manufacturing agglomeration on the quality of water ecological environment is −0.426, which provides statistical evidence for the important role of manufacturing agglomeration in improving the quality of water ecological environment. The indirect effect of manufacturing agglomeration on ammonia nitrogen (NH3-N) is 0.118% through technological innovation, the indirect effect on NH3-N is 0.114% through economic growth, and the indirect effect on NH3-N is 0.254% through industrial structure. Due to the low overall level of the manufacturing industry and its reliance on dirty technologies, the indirect effects of industrial agglomeration are not conducive to improving the quality of the water ecological environment. Therefore, it is necessary to establish a long-term mechanism to promote the evolution of the regional economy along a path that is conducive to the improvement of the water ecological environment.

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An analysis of the relation between water pollution and economic growth in China by considering the contemporaneous correlation of water pollutants

Cited by 62 publications

References 45 publications

An analysis of the relationship between water-energy-food system and economic growth in China based on ecological footprint measurement

An analysis of the relationship between water-energy-food system and economic growth in China based on ecological footprint measurement

Assessing land use and land cover change in Los Molinos reservoir watershed and the effect on the reservoir water quality

The Impacts of Urban Manufacturing Agglomeration on the Quality of Water Ecological Environment Downstream of the Three Gorges Dam

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