4.7 Article

Analysis of influencing factors of carbon emissions in resource-based cities in the Yellow River basin under carbon neutrality target

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 16, Pages 23847-23860

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17386-6

Keywords

Carbon neutrality; STIRPAT model; Resource-based cities; Low-carbon transition

Funding

  1. National Social Science Fund of China [19BGL276]

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From 2003 to 2017, 36 cities in China were classified into four types, the study shows that population, GDP, energy intensity, industrial structure, and fixed asset investment have a significant impact on carbon emissions in the entire Yellow River basin. Different types of cities have differences in achieving the 3060 dual carbon goal.
In 2020, China promised to achieve carbon peaking by 2030 and carbon neutrality by 2060, and these targets are famous as Goal 3060 in China. Chinese resource-based cities are concerned about the realization of Goal 3060 to practice national action against environmental change. In this paper, this study evaluates the impact of population, economic growth, energy intensity, industrial structure, fixed asset investment, and urbanization level on carbon emissions in Chinese cities. To do so, the paper divides 36 Chinese cities into four types (growing city, mature city, recessionary city, and regenerative city) from 2003 to 2017 by factor investigation according to the diverse development stages. The extended STIRPAT model is used to assess the impact of various factors on CO2 emissions in the Yellow River basin and diverse city levels. The panel regression analysis was conducted for the basin as a whole and cities at different development stages through a fixed-effects model and a linear regression model with Driscoll-Kraay standard errors. The results show that (1) the total carbon emissions in the Yellow River basin continued to climb during the study period. However, the growth rate slowed down significantly after 2012. In addition, there are differences in the total carbon emissions and growth rate of different cities. (2) Population, real GDP, energy intensity, industrial structure, and fixed asset investment all have a significant positive impact on carbon emissions in the overall basin except the urbanization level which has a significant negative influence on carbon emissions. (3) There is heterogeneity in the influencing factors of carbon emissions in resource-based cities at various development stages. Based on these results, corresponding policies are proposed for different types of cities to help resource-based cities achieve the 3060 dual carbon goal.

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