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Int. J. Environ. Res. Public Health 2017, 14(12), 1568; https://doi.org/10.3390/ijerph14121568

Non-Linear Relationship between Economic Growth and CO2 Emissions in China: An Empirical Study Based on Panel Smooth Transition Regression Models

1
School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China
2
Center for Research of Regulation & Policy, Zhejiang University of Finance & Economics, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Received: 18 October 2017 / Revised: 10 December 2017 / Accepted: 10 December 2017 / Published: 13 December 2017
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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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. View Full-Text
Keywords: CO2 emissions; economic growth; non-linear relationship; PSTR model CO2 emissions; economic growth; non-linear relationship; PSTR model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wang, Z.-X.; Hao, P.; Yao, P.-Y. Non-Linear Relationship between Economic Growth and CO2 Emissions in China: An Empirical Study Based on Panel Smooth Transition Regression Models. Int. J. Environ. Res. Public Health 2017, 14, 1568.

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