Investigation of the 60-year relationship between energy consumption and environmental quality in China

Zhao, Shaohua; Feng, Honge

doi:10.1007/s11356-021-16498-3

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…Xu et al (2011) presented the waste-discharge pollution state and evaluated the environmental pressure that was generated from power plants [46]. Lu et al (2013) [47] and Zhao and Feng (2022) [48] characterized the evolution trend of energy consumption's impact on the environment and provided scientific strategies for China's environmental decompression and energy structure adjustment via gray correlation degree. Ren et al (2017) [49] and Wu et al (2018) [50] used the gray correlation analysis model to determine the influence of industrial energy consumption on the atmospheric environment or the leading causes of decoupling indices differences from different perspectives.…”

Section: Introductionmentioning

confidence: 99%

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Peng,

2024

Pol. J. Environ. Stud.

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Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province's environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province's ecological loading from the perspectives of industrial structure, public awareness and technological innovation.

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Section: Introductionmentioning

confidence: 99%

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Peng,

2024

Pol. J. Environ. Stud.

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Sustainability analysis of the use of natural gas in the iron and steel industry

Ballı,

Sel

2022

Environ Sci Pollut Res

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The environmental effects of digital economy: evidence from province-level empirical data in China

Luo

Cai

et al. 2023

Environ Sci Pollut Res

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Investigation of the 60-year relationship between energy consumption and environmental quality in China

Cited by 6 publications

References 36 publications

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Sustainability analysis of the use of natural gas in the iron and steel industry

The environmental effects of digital economy: evidence from province-level empirical data in China

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