Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities. Issue 35 (27th July 2019)

• Record Type: Journal Article
• Authors: Zheng, Haitao; Hu, Jie; Wang, Shanshan; Wang, Huiwen
• Is Part Of: Applied economics. Volume 51:Issue 35(2019)
• Page Start: 3906
• Page End: 3919
• Publication Date: 2019-07-27
• Subjects: Chinese cities -- carbon emissions accounting -- panel quantile regression -- STIRPAT model; R11 -- Q54; Economics -- Periodicals; 330
• DOI: 10.1080/00036846.2019.1584659
• Languages: English
• ISSNs: 0003-6846

Abstract

ABSTRACT: Ascertaining the influencing factors of carbon dioxide emissions in Chinese cities is an important issue for policy-makers. This paper investigates the effect of several determinants on carbon emissions per capita in Chinese cities. Non-normally distributed and heterogeneous features of carbon emissions per capita in Chinese cities are considerably important. The empirical results demonstrate that GDP per capita has an increasingly positive impact on carbon emissions per capita due to the growth in household consumption. Urbanization has a slightly decreasing positive effect on carbon emissions per capita with a quantile increase resulting from continuous highway construction. Industrialization has a decreasing positive effect with carbon emission per capita quantile increases because of increasing energy efficiency and lower costs related to carbon reductions. The population has a decreasing negative effect on carbon emissions because of people's increasing demand for environmental safety. The distributions of emissions per capita conditional on the 10th and 90th quantiles of independent variables also vary considerably. Specific policy implications are provided based on these results.