Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach
Q.W. Wang,
Peng Zhou,
N. Shen and
S.S. Wang
Authors registered in the RePEc Author Service: Qunwei Wang ()
Renewable and Sustainable Energy Reviews, 2013, vol. 21, issue C, 324-330
Abstract:
This paper looks at carbon dioxide (CO2) emissions from the point of view of production theory and proposes a new total factor CO2 emissions performance index. This is done using directional distance function followed by stochastic frontier analysis techniques in order to estimate the index. Based on this, it studies on CO2 emission performance, emission reduction potential and influences of regulatory policies in Chinese provinces. The main conclusions include the following: (1) CO2 emission performance in each province is high in southeastern coastal areas but low in central and western inland regions with differences increasing rapidly after 2001. (2) The relationship between CO2 emission performance and emission reduction potential can be divided into four types; high performance-high potential, high performance-low potential, low performance-high potential and low performance-low potential. (3) Regulations concerning emission reduction do not sacrifice efficiency but actually facilitate long-term CO2 emission performance.
Keywords: Carbon dioxide; Emission performance; Directional distance function; Stochastic frontier analysis (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (48)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032113000178
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:21:y:2013:i:c:p:324-330
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2012.12.061
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().