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Non-Linear Relationship between Economic Growth and CO2 Emissions in China: An Empirical Study Based on Panel Smooth Transition Regression Models
- Source :
- International Journal of Environmental Research and Public Health; Volume 14; Issue 12; Pages: 1568, International Journal of Environmental Research and Public Health, Vol 14, Iss 12, p 1568 (2017)
- Publication Year :
- 2017
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2017.
-
Abstract
- The non-linear relationship between provincial economic growth and carbon emissions is investigated by using panel smooth transition regression (PSTR) models. The research indicates that, on the condition of separately taking Gross Domestic Product per capita (GDPpc), energy structure (Es), and urbanisation level (Ul) as transition variables, three models all reject the null hypothesis of a linear relationship, i.e., a non-linear relationship exists. The results show that the three models all contain only one transition function but different numbers of location parameters. The model taking GDPpc as the transition variable has two location parameters, while the other two models separately considering Es and Ul as the transition variables both contain one location parameter. The three models applied in the study all favourably describe the non-linear relationship between economic growth and CO2 emissions in China. It also can be seen that the conversion rate of the influence of Ul on per capita CO2 emissions is significantly higher than those of GDPpc and Es on per capita CO2 emissions.
- Subjects :
- non-linear relationship
CO2 emissions
economic growth
PSTR model
Location parameter
020209 energy
Health, Toxicology and Mutagenesis
lcsh:R
Public Health, Environmental and Occupational Health
lcsh:Medicine
Regression analysis
02 engineering and technology
010501 environmental sciences
01 natural sciences
Gross domestic product
Regression
Variable (computer science)
Greenhouse gas
0202 electrical engineering, electronic engineering, information engineering
Per capita
Econometrics
Null hypothesis
0105 earth and related environmental sciences
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 16604601
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health; Volume 14; Issue 12; Pages: 1568
- Accession number :
- edsair.doi.dedup.....c3629bfe16a8a188f5c5f3933c29eb9c
- Full Text :
- https://doi.org/10.3390/ijerph14121568