The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement
Yigang Wei,
Yan Li,
Meiyu Wu and
Yingbo Li
Energy Economics, 2019, vol. 78, issue C, 365-378
Abstract:
Greenhouse gas reduction requires joint efforts from the global society, while improving CO2 emission efficiency is a centrally important means to realize emission reduction targets. Therefore, it is of strategic importance to identify main influential factors to CO2 emission efficiency of different countries by considering the technology heterogeneity. The originality herein lies in that, applying the modified decomposition method of Metafrontier Malmquist Luenberger Index (MML) to define the priority of contracting countries in Paris Agreement to improve emission efficiency. In this study, 97 contracting countries of Paris Agreement are divided into 4 groups according to levels of income (low-income countries, lower-middle income countries, upper-middle income countries and high-income countries), and studied with their input and output data during 1990–2014 as samples. The empirical results reveal that the paths for the contracting countries of Paris Agreement to improve the efficiency are different: first, lower-middle income group can be facilitated through increasing factor input to increase the MML index considering the highest increase in scale efficiency (2.78%). Second, low-income group should eliminate the excessive concentration of inputs by enhancing the energy management efficiency. Third, in terms of the significant advancement of high-income group's MML index brought by technology advancement and the abnormal drop of Brunei Darussalam's MML related to technology decay, this analysis emphasized that the advancement and innovation of energy technology are the main force for total-factor CO2 emission efficiency improvement.
Keywords: Efficiency; CO2 emission; Paris Agreement; Directional distance function; Metafrontier-Malmquist-Luenberger productivity growth index (search for similar items in EconPapers)
JEL-codes: D24 Q42 Q43 Q48 Q53 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988318304742
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:eneeco:v:78:y:2019:i:c:p:365-378
DOI: 10.1016/j.eneco.2018.11.028
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().