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

被引:27
|
作者
Amowine, Nelson [1 ]
Ma, Zhiqiang [1 ]
Li, Mingxing [1 ]
Zhou, Zhixiang [2 ]
Asunka, Benjamin Azembila [1 ]
Amowine, James [3 ]
机构
[1] Jiangsu Univ, Sch Management, 301 Xuefu Rd, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Hefei Univ Technol, Sch Econ, Hefei 230009, Anhui, Peoples R China
[3] Univ Dev Studies, Dept Agribusiness Management & Finance, Tamale 1350, Ghana
基金
中国国家自然科学基金;
关键词
energy efficiency; energy improvement; DEA; dynamic SBM; MPI; Africa; DATA ENVELOPMENT ANALYSIS; SLACKS-BASED MEASURE; MODELING UNDESIRABLE FACTORS; ENVIRONMENTAL PERFORMANCE; REGIONAL ENERGY; OECD COUNTRIES; INDUSTRY; CHINA; FIRMS;
D O I
10.3390/en12203915
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:17
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