Literature DB >> 34817818

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

Xiumei Sun1, Haotian Zhang1, Mahmood Ahmad2, Chaokai Xue3.   

Abstract

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.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

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

Mesh:

Substances:

Year:  2021        PMID: 34817818     DOI: 10.1007/s11356-021-17386-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Carbon emission efficiency measurement and influencing factor analysis of nine provinces in the Yellow River basin: based on SBM-DDF model and Tobit-CCD model.

Authors:  Yuan Zhang; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-13       Impact factor: 5.190

2.  The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China's 92 Tourism-Dependent Cities.

Authors:  Yun Tong; Rui Zhang; Biao He
Journal:  Int J Environ Res Public Health       Date:  2022-02-05       Impact factor: 3.390

3.  Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities.

Authors:  Yingqi Xu; Yu Cheng; Ruijing Zheng; Yaping Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-15       Impact factor: 4.614

  3 in total

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