Analysis of the influencing factors on CO2 emissions at different urbanization levels: regional difference in China based on panel estimation
Wei Chen (),
Minjuan Zhao and
Additional contact information
Yanan Wang: Northwest A&F University
Wei Chen: Northwest A&F University
Minjuan Zhao: Northwest A&F University
Bowen Wang: Northwest A&F University
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 96, issue 2, No 5, 627-645
Abstract A large amount of carbon dioxide emissions have drawn more and more attention recently. Existing regional research is mainly based on the classification of geographical location, without considering the differences in urbanization. Using panel data of 30 provinces in China during the period of 1997–2014, this paper investigates the impact of population, per capita GDP, energy intensity, urbanization, industry proportion and tertiary industry proportion on CO2 emissions. Taking into account regional differences, 30 provinces in China are divided into four regions according to the features of “urbanization–CO2 emissions.” The results show that the impacts of population and per capita GDP on CO2 emissions in the LU–LC region are higher than the other three regions. The energy intensity has positive effect on CO2 emissions in the four regions. The impact of energy intensity on CO2 emissions in HU–HC and HU–LC regions is greater than the other two regions. Meanwhile, the impact of urbanization on CO2 emissions differs across regions. The urbanization has a significant negative effect on CO2 emissions in the HU–LC region, indicating the urbanization increases CO2 emissions. However, the urbanization has a positive effect on CO2 emissions in the LU–HC region, indicating the urbanization increases CO2 emissions in the region. The impact of industry proportion is not statistically significant in all the regions, while the impact of tertiary industry proportion on CO2 emissions is negatively significant in the HU–LC and LU–HC regions, which indicates that the adjustment and upgrading of industrial structure play important roles in the decrease in carbon emissions.
Keywords: Regional difference; Urbanization; CO2 emissions; STIRPAT model (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11069-018-3561-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:96:y:2019:i:2:d:10.1007_s11069-018-3561-z
Ordering information: This journal article can be ordered from
Access Statistics for this article
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk
More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla ().