Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020
Shihong Zeng,
Yan Xu,
Liming Wang,
Jiuying Chen and
Qirong Li
Additional contact information
Yan Xu: Economics & Management School, Beijing University of Technology, Beijing 100124, China
Liming Wang: Economics & Management School, Beijing University of Technology, Beijing 100124, China
Jiuying Chen: Economics & Management School, Beijing University of Technology, Beijing 100124, China
Qirong Li: Economics & Management School, Beijing University of Technology, Beijing 100124, China
Energies, 2016, vol. 9, issue 5, 1-18
Abstract:
As the result of climate change and deteriorating global environmental quality, nations are under pressure to reduce their emissions of greenhouse gases per unit of GDP. China has announced that it is aiming not only to reduce carbon emission per unit of GDP, but also to consume increased amounts of non-fossil energy. The carbon emission allowance is a new type of financial asset in each Chinese province and city that also affects individual firms. This paper attempts to examine the allocative efficiency of carbon emission reduction and non-fossil energy consumption by employing a zero sum gains data envelopment analysis (ZSG-DEA) model, given the premise of fixed CO 2 emissions as well as non-fossil energy consumption. In making its forecasts, the paper optimizes allocative efficiency in 2020 using 2010 economic and carbon emission data from 30 provinces and cities across China as its baseline. An efficient allocation scheme is achieved for all the provinces and cities using the ZSG-DEA model through five iterative calculations.
Keywords: carbon emission allowance; non-fossil fuels; efficiency; zero sum gains data envelopment analysis (ZSG-DEA); iteration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
https://www.mdpi.com/1996-1073/9/5/329/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/5/329/ (text/html)
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:gam:jeners:v:9:y:2016:i:5:p:329-:d:69380
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().