2017
DOI: 10.1007/s11069-017-2787-5
|View full text |Cite
|
Sign up to set email alerts
|

The impact of energy consumption on environment and public health in China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 25 publications
(12 citation statements)
references
References 43 publications
0
11
0
Order By: Relevance
“…Environmental pollution is mostly generated from production and consumption of especially fossil-based energy sources. 4 Therefore, as presented by the literature, many researchers 533 have been examining the long-run relationship between energy consumption and environmental pollution.…”
Section: Introductionmentioning
confidence: 99%
“…Environmental pollution is mostly generated from production and consumption of especially fossil-based energy sources. 4 Therefore, as presented by the literature, many researchers 533 have been examining the long-run relationship between energy consumption and environmental pollution.…”
Section: Introductionmentioning
confidence: 99%
“…Lung cancer was the result of the long-term exposure to environmental factors. Qu et al analyzed the short-term, and long-term relationship between energy consumption, environmental pollution and public health in China from 1985 to 2014, and found that the proportion of coal consumption, smoke and dust emissions, and other effects on cardiovascular and respiratory diseases are signi cantly positively correlated in the short and long term (Qu 2017). This suggested that a long-term effort was needed to reduce the impact of carbon emissions on lung cancer rates.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, taking the logarithm of (1) and adding the variable of PPEB, our empirical model of the influence of PPEB on HPG (Model PPEB-HPG) also includes some commonly used control variables so that the model can mitigate the potential for misspecification and biased estimation, as given by: 𝑙𝑛 𝑝 𝑚25 𝑖𝑡 = 𝛼 0 + 𝛼 1 𝑙𝑛 𝑝 𝑚25 where lnpm25 denotes haze pollution; lnrgdp measures income per capita, which is an economic factor; lninsec measures the proportion of fossil energy in total energy consumption, which is an energy factor; lnurbanp measures urbanization; lnpopd measures population density, which is a demographic factor. These five factors are the key variables that influence haze pollution (Qu et al, 2018;Qu & Yan, 2014;Yi et al, 2020). Provinces are denoted by the subscript i (i=1,2……31) and the time period is denoted by the subscript t (t=1,2……18).…”
Section: Model Specificationmentioning
confidence: 99%