Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach

In Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement...

Full description

Bibliographic Details
Main Authors: Nelson Amowine, Zhiqiang Ma, Mingxing Li, Zhixiang Zhou, Benjamin Azembila Asunka, James Amowine
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/20/3915
_version_ 1798039149534511104
author Nelson Amowine
Zhiqiang Ma
Mingxing Li
Zhixiang Zhou
Benjamin Azembila Asunka
James Amowine
author_facet Nelson Amowine
Zhiqiang Ma
Mingxing Li
Zhixiang Zhou
Benjamin Azembila Asunka
James Amowine
author_sort Nelson Amowine
collection DOAJ
description In Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement can be achieved. The current study aims to assess energy efficiency improvement among 25 selected countries in Africa. First, the dynamic slack-based measure (DSBM) data envelopment analysis (DEA) model is applied to gauge the efficiency measurement. Further, the Malmquist productivity index (MPI) is employed to investigate the energy efficiency improvement during 2006−2014. Empirically, the results from the dynamic slack-based measure (DSBM) model show that energy efficiency in Africa is generally low. Also, the findings from the MPI suggest there is no significant improvement in energy efficiency in Africa. Based on the estimated results, some energy efficiency improvement strategies are further proposed for sample countries in Africa.
first_indexed 2024-04-11T21:49:55Z
format Article
id doaj.art-ecc9ba00eb3448009743b3c98bff1af1
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-04-11T21:49:55Z
publishDate 2019-10-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-ecc9ba00eb3448009743b3c98bff1af12022-12-22T04:01:16ZengMDPI AGEnergies1996-10732019-10-011220391510.3390/en12203915en12203915Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA ApproachNelson Amowine0Zhiqiang Ma1Mingxing Li2Zhixiang Zhou3Benjamin Azembila Asunka4James Amowine5School of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaSchool of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaSchool of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaSchool of Economics, Hefei University of Technology, Hefei 230009, ChinaSchool of Management, Jiangsu University, No. 301 Xuefu Road, Zhenjiang, Jiangsu 212013, ChinaDepartment of Agribusiness Management and Finance, University for Development Studies, Tamale 1350, GhanaIn Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement can be achieved. The current study aims to assess energy efficiency improvement among 25 selected countries in Africa. First, the dynamic slack-based measure (DSBM) data envelopment analysis (DEA) model is applied to gauge the efficiency measurement. Further, the Malmquist productivity index (MPI) is employed to investigate the energy efficiency improvement during 2006−2014. Empirically, the results from the dynamic slack-based measure (DSBM) model show that energy efficiency in Africa is generally low. Also, the findings from the MPI suggest there is no significant improvement in energy efficiency in Africa. Based on the estimated results, some energy efficiency improvement strategies are further proposed for sample countries in Africa.https://www.mdpi.com/1996-1073/12/20/3915energy efficiencyenergy improvementdeadynamic sbmmpiafrica
spellingShingle Nelson Amowine
Zhiqiang Ma
Mingxing Li
Zhixiang Zhou
Benjamin Azembila Asunka
James Amowine
Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
Energies
energy efficiency
energy improvement
dea
dynamic sbm
mpi
africa
title Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
title_full Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
title_fullStr Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
title_full_unstemmed Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
title_short Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach
title_sort energy efficiency improvement assessment in africa an integrated dynamic dea approach
topic energy efficiency
energy improvement
dea
dynamic sbm
mpi
africa
url https://www.mdpi.com/1996-1073/12/20/3915
work_keys_str_mv AT nelsonamowine energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach
AT zhiqiangma energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach
AT mingxingli energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach
AT zhixiangzhou energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach
AT benjaminazembilaasunka energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach
AT jamesamowine energyefficiencyimprovementassessmentinafricaanintegrateddynamicdeaapproach