Analysis of the relationship between economic growth and industrial pollution in Zaozhuang, China—based on the hypothesis of the environmental Kuznets curve

Liu, Xiaohui; Wang, Weiliang; Lu, Shaoyong; Wang, Yufan; Ren, Zongming

doi:10.1007/s11356-016-6803-1

Cited by 19 publications

(6 citation statements)

References 11 publications

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“…Peng et al [22] used EKC to study the trend of environmental indicators such as industrial wastewater and industrial COD emissions in Shanghai, plotted against economic development. Liu et al [23] analyzed the relationship between industrial chemical oxygen demand (COD), NH 3 -N, wastewater emissions and per capita GDP in Zaozhuang, Shandong based on the EKC hypothesis. Zhang and Wang [24] used the EKC model to study the relationship between water pollution (industrial and domestic wastewater discharge) and economic development in Shandong.…”

Section: Introductionmentioning

confidence: 99%

Challenges for Water Security and Sustainable Socio-Economic Development: A Case Study of Industrial, Domestic Water Use and Pollution Management in Shandong, China

Liu

Zhang

2019

Water

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Comprehensive analysis of water use and pollution management plays an important role in regional water security and sustainable socio-economic development. This study applies the environmental Kuznets curve (EKC), Gini index and elasticity coefficient methods to conduct an investigation of industrial and domestic water use and pollution management in Shandong. The results show that industrial water pollution generally displayed a coordinated relationship with socio-economic development, while an uncoordinated relationship occurred between domestic water pollution and socio-economic development. Meanwhile, the Gini index between domestic water use and population in 2017 (0.101) was superior to that of 2003 (0.165), and the Gini index of industrial water use and second industry output in 2017 (0.273) was better than that of 2003 (0.292), indicating that the allocation and equity of domestic and industrial water use in Shandong kept to a good development trend. Additionally, the industrial effect is better than the domestic effect in terms of the control of wastewater emissions and the governance of typical pollutants in wastewater. Accordingly, domestic water pollution has gradually become one of the major sources of water pollution, and the allocation of industrial and domestic water use has room to improve further in Shandong. Conjunctive use of the aforementioned three methods provides an approach to investigate the integrated management of water use and water pollution control from multiple angles.

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Section: Introductionmentioning

confidence: 99%

Challenges for Water Security and Sustainable Socio-Economic Development: A Case Study of Industrial, Domestic Water Use and Pollution Management in Shandong, China

Liu

Zhang

2019

Water

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“…Liu et al (2016) found a typical inverted U-shaped relationship between the discharge amount of industrial wastewater and per capita GDP. However, both chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) invert the binding curve of the left side of the U curve and the left side of the U-shaped curve (Liu et al, 2016). The environmental Kuznets curve (EKC), per capita biological oxygen demand (BOD) emissions and the per capita total phosphorus (TP) emissions corresponded to an inverted U-shaped curve relationship, while per capita total nitrogen (TN) emissions decreased linearly with GDP growth (Tsuzuki 2009).…”

Section: Literaturementioning

confidence: 98%

“…Researchers who question the environmental Kuznets curve believe that the results of studies using cross-sectional data and panel data that assumes pollution paths are the same are unconvincing (Borghesi 1999;Egli 2002). Liu et al (2016) found a typical inverted U-shaped relationship between the discharge amount of industrial wastewater and per capita GDP. However, both chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) invert the binding curve of the left side of the U curve and the left side of the U-shaped curve (Liu et al, 2016).…”

Section: Literaturementioning

confidence: 99%

Water pollution, industrial agglomeration and economic growth: Evidence from China

Huang

Wang²

2022

Front. Environ. Sci.

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This paper investigates the causal relationship between water pollution, industrial agglomeration, and economic growth in 11 Chinese provinces in China. Using a bootstrap autoregressive distributed lag (ARDL) analysis, we examine the estimated models’ stability and investigate the Granger causality relationships between system variables. The results indicate that our estimation provides evidence of a long-run relationship between water pollution, industrial agglomeration, and economic growth in China. The bidirectional running from other water pollution variables is confirmed from the casualty tests in Shanghai and Yunnan. Specifically, the unidirectional causality relationship running from industrial agglomeration and economic growth to water pollution provide statistical evidence of the important role that industrial agglomeration and economic growth play in increasing water pollution.

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“…There are also policy priority areas for water pollution control that have been set by the Chinese government [3]. (COD and ammonia nitrogen originate from the same sources, and the major industries that emit these pollutants are papermaking, textile and chemical ones (Cai et al [1], Liu et al [4]). China's sewage treatment mainly adopts six major sewage treatment processes: the oxidation ditch process, the A2/O process, the traditional active sewage treatment method, the SBR process, the A/O process, and the biofilm process (Ministry of Ecology and Environment of China [5]).…”

Section: Introductionmentioning

confidence: 99%

Water Pollution and Pollution–Control Capacity in Chinese Provinces: Panel Estimations of Provincial Environmental Kuznets Curves

et al. 2023

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China’s rapid industrialization and urbanization in recent decades have deteriorated its water resource quality. This study focused on water pollution in terms of the chemical oxygen demand (COD) and the levels of ammonia nitrogen in the industrial and household discharges of different Chinese provinces. Although the heterogeneity of environmental Kuznets curves (EKCs) from Chinese provinces has been studied, the positions of provincial EKCs (which reflect the province-specific pollution effects not affected by the provincial income levels) have not been investigated to date. Therefore, through a factor analysis of the heterogeneity of provincial pollution under the EKC framework, we investigated how the capacity shortage for pollution control contributes to the provincial pollution levels. We also evaluated the heterogeneity of the EKCs from the provinces in terms of their positions (not their shapes), using a fixed-effect model to extract the province-specific pollution effects. The capacity shortage for pollution control, as one of the pollution factors, accounted for (a) 30% of industrial COD and industrial ammonia nitrogen; (b) 60% of household COD; and (c) 80% of household ammonia nitrogen. Our results indicate that China still has a large capacity to mitigate water pollution via policies and by building the capacity for pollution control through the development and training of human resources.

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Analysis of the relationship between economic growth and industrial pollution in Zaozhuang, China—based on the hypothesis of the environmental Kuznets curve

Cited by 19 publications

References 11 publications

Challenges for Water Security and Sustainable Socio-Economic Development: A Case Study of Industrial, Domestic Water Use and Pollution Management in Shandong, China

Challenges for Water Security and Sustainable Socio-Economic Development: A Case Study of Industrial, Domestic Water Use and Pollution Management in Shandong, China

Water pollution, industrial agglomeration and economic growth: Evidence from China

Water Pollution and Pollution–Control Capacity in Chinese Provinces: Panel Estimations of Provincial Environmental Kuznets Curves

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