dc.contributor.author
Zeng, Liangen
dc.contributor.author
Lu, Haiyan
dc.contributor.author
Liu, Yenping
dc.contributor.author
Zhou, Yang
dc.contributor.author
Hu, Haoyu
dc.date.accessioned
2019-09-26T09:27:37Z
dc.date.available
2019-09-26T09:27:37Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/25653
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-25417
dc.description.abstract
With the challenge to reach targets of carbon emission reduction at the regional level, it is necessary to analyze the regional differences and influencing factors on China’s carbon emission efficiency. Based on statistics from 2005 to 2015, carbon emission efficiency and the differences in 30 provinces of China were rated by the Modified Undesirable Epsilon-based measure (EBM) Data Envelopment Analysis (DEA) Model. Additionally, we further analyzed the influencing factors of carbon emission efficiency’s differences in the Tobit model. We found that the overall carbon emission efficiency was relatively low in China. The level of carbon emission efficiency is the highest in the East region, followed by the Central and West regions. As for the influencing factors, industrial structure, external development, and science and technology level had a significant positive relationship with carbon emission efficiency, whereas government intervention and energy intensity demonstrated a negative correlation with carbon emission efficiency. The contributions of this paper include two aspects. First, we used the Modified Undesirable EBM DEA Model, which is more accurate than traditional methods. Secondly, based on the data’s unit root testing and cointegration, the paper verified the influencing factors of carbon emission efficiency by the Tobit model, which avoids the spurious regression. Based on the results, we also provide several policy implications for policymakers to improve carbon emission efficiency in different regions.
en
dc.format.extent
21 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
carbon emission efficiency
en
dc.subject
regional differences
en
dc.subject
influencing factors
en
dc.subject
the Modified undesirable EBM DEA model
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::500 Naturwissenschaften::500 Naturwissenschaften und Mathematik
dc.title
Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
3081
dcterms.bibliographicCitation.doi
10.3390/en12163081
dcterms.bibliographicCitation.journaltitle
Energies
dcterms.bibliographicCitation.number
16
dcterms.bibliographicCitation.volume
12
dcterms.bibliographicCitation.url
https://doi.org/10.3390/en12163081
refubium.affiliation
Geschichts- und Kulturwissenschaften
refubium.affiliation.other
Institut für Sinologie
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin und der DFG gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1996-1073