The changing trend and influencing factors of energy efficiency: The case of nine countries

被引:92
作者
Cui, Qiang [1 ]
Kuang, Hai-bo [1 ]
Wu, Chun-you [2 ]
Li, Ye [2 ]
机构
[1] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China
[2] Dalian Univ Technol, Faulty Management & Econ, Dalian 116024, Peoples R China
关键词
Energy efficiency; Economic value added method; Data envelopment analysis; Malmquist index; Panel regression; DATA ENVELOPMENT ANALYSIS; REGRESSION ANALYSIS; BARRIERS; MULTICOLLINEARITY; CONSUMPTION; IRON;
D O I
10.1016/j.energy.2013.11.060
中图分类号
O414.1 [热力学];
学科分类号
摘要
Energy shortage is exacerbated by energy wastage and low efficiency, so energy efficiency has become a popular research topic. However, in most studies, the inputs and outputs of energy efficiency are selected through qualitative analysis and literature review, the rationality is not convincing. In this paper, the inputs and outputs of energy efficiency are calculated by EVA (Economic Value Added method). Number of employees in energy industry, energy consumption amount and energy services amount are chosen as the inputs while CO2 emissions per capita and industrial profit amount are chosen as the outputs. DEA (Data Envelopment Analysis) and Malmquist index are applied to calculate the energy efficiencies of nine countries during 2008-2012. Each country has different reasons to explain the change of energy efficiency index and more flexible energy development plans should be implemented according to the changing reasons. Then the important influencing factors of energy efficiency are analyzed by Panel Regression Model. The results indicate that technology indices and management indices are the main factors of energy efficiency. Management indices' effect on energy efficiency index is occurred mainly through pure technical efficiency change index. Technology indices' effect on energy efficiency index is occurred mainly through technical progress change index. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1026 / 1034
页数:9
相关论文
共 50 条
[1]  
[Anonymous], 2006, OR MANAG, DOI DOI 10.19744/J.CNKI.11-1235/F.2006.10.010
[2]  
[Anonymous], STAT RES
[3]   An integrated, DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors [J].
Azadeh, A. ;
Amalnick, M. S. ;
Ghaderi, S. F. ;
Asadzadeh, S. M. .
ENERGY POLICY, 2007, 35 (07) :3792-3806
[4]  
[毕功兵 Bi Gongbing], 2009, [管理评论, Management Review], V21, P10
[5]   Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach [J].
Blomberg, Jerry ;
Henriksson, Eva ;
Lundmark, Robert .
ENERGY POLICY, 2012, 42 :569-579
[6]   Estimating the linkage between energy efficiency and productivity [J].
Boyd, GA ;
Pang, JX .
ENERGY POLICY, 2000, 28 (05) :289-296
[7]   CONDITIONAL LEVEL OF STUDENTS T TEST [J].
BROWN, L .
ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (04) :1068-&
[8]   CONSISTENCY OF RESIDENTIAL CUSTOMER RESPONSE IN TIME-OF-USE ELECTRICITY PRICING EXPERIMENTS [J].
CAVES, DW ;
CHRISTENSEN, LR ;
HERRIGES, JA .
JOURNAL OF ECONOMETRICS, 1984, 26 (1-2) :179-203
[9]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[10]   Modelling improvements in domestic energy efficiency [J].
Clinch, JP ;
Healy, JD ;
King, C .
ENVIRONMENTAL MODELLING & SOFTWARE, 2001, 16 (01) :87-106