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Human development associated with environmental quality in China
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 2, p e0246677 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
Abstract
- This paper aims to investigate the connection between overall environmental quality and human development. Based on China’s provincial panel data from 2004 to 2017, this study constructed the Environment Degradation Index (EDI) and Human Development Index (HDI) to measure environmental pollution and human development, respectively, and it used the Simultaneous Equations Model (SEM) to assess the relationship between them. The results showed that there was an inverted U-shaped relationship found between EDI and HDI, and the coefficients of the first and second power of HDI were 5.2781 and -2.3476, respectively. Meanwhile, the results also confirmed that environmental pollution, in turn, delayed regional economic growth, and every 0.01 unit increase in EDI was correlated with a 3.15% decrease in GDP per capita. It is recommended that the government should speed up human development to surpass the turning point of the inverted U-shaped curve soonest possible.
- Subjects :
- China
Atmospheric Science
Asia
Economics
020209 energy
Science
Social Sciences
Environmental pollution
02 engineering and technology
010501 environmental sciences
01 natural sciences
Human capital
Air Quality
Education
Geographical Locations
Development Economics
Sociology
Economic Growth
Air Pollution
Statistics
0202 electrical engineering, electronic engineering, information engineering
Per capita
Environmental Chemistry
Humans
Human Development Index
Air quality index
Environmental quality
0105 earth and related environmental sciences
Human Capital
Multidisciplinary
Schools
Ecology and Environmental Sciences
Models, Theoretical
Pollution
Human development (humanity)
Chemistry
Atmospheric Chemistry
People and Places
Physical Sciences
Earth Sciences
Environmental science
Medicine
Economic Development
Environmental Pollution
Panel data
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....0a41e6d0783706ae2d3a31f7229c1142