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Modelling energy and carbon emission performance: A constrained performance index measure.

Authors :
Ding, Li-Li
Lei, Liang
Zhao, Xin
Calin, Adrian Cantemir
Source :
Energy. Apr2020, Vol. 197, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

Energy and carbon emission performance evaluation is a focus topic in the field of environmental protection and energy utilization. However, the current studies are not high in identifying economic output inefficiency and neglect to control target energy carbon emission intensity (ECI), which may cause evaluation bias. Hence, this paper presents a constrained performance index measure (CPIM) model to solve the issues. The proposed model takes the performance index measure and can identify more numbers of positive economic output inefficiency compared to the directional distance function (DDF) model. Besides, the ECI constraint is presented and imposed into the proposed model to restrict the target ECI of decision making units. The numerical example from China's provincial dataset demonstrates and confirms the validity and merit of the proposed model through the measure and constraint comparison among different models. Then, it is found that most provinces exist certain economic output inefficiency and the center regions have a worst score of energy carbon emission performance index due to the rapid development of their secondary industry by using the proposed model. Several valuable modeling directions and questions related to performance index measure and energy pollution emission constraints are provided for future research. • We propose a constrained performance index measure (CPIM) model. • The CPIM model can identify more economic output inefficiency than the DDF model. • The CPIM model can restrict target energy carbon emission intensity of DMUs. • The numerical example demonstrates the usefulness of the proposed approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
197
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
142389246
Full Text :
https://doi.org/10.1016/j.energy.2020.117274