Common weights analysis of renewable energy efficiency of OECD countries

被引:9
作者
Mavi, Reza Kiani [1 ]
Mavi, Neda Kiani [1 ]
Saen, Reza Farzipoor [2 ]
Goh, Mark [1 ,3 ,4 ]
机构
[1] Edith Cowan Univ, Sch Business & Law, Joondalup, WA 6027, Australia
[2] Sultan Qaboos Univ, Coll Econ & Polit Sci, Dept Operat Management & Business Stat, Muscat, Oman
[3] Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
[4] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
关键词
Energy efficiency; Renewables; Data envelopment analysis; Common weights; GOAL PROGRAMMING APPROACH; DATA ENVELOPMENT ANALYSIS; ENVIRONMENTAL EFFICIENCY; DEA; PRODUCTIVITY; TECHNOLOGY; PERSPECTIVE; PERFORMANCE; MANAGEMENT;
D O I
10.1016/j.techfore.2022.122072
中图分类号
F [经济];
学科分类号
02 ;
摘要
Arising from the recent COP26 climate change conference, many governments have emphasised carbon neutrality targets for environmental sustainability by increasing renewable energy efficiency. This study develops a common set of weights (CSW) model for the additive model in data envelopment analysis using goal programming to analyse the energy efficiency of the Organisation for Economic Co-operation and Development (OECD) countries. The CSW model, which has better discrimination power, places Iceland as the most renewable energy-efficient member country in the OECD, followed by Luxemburg and Norway. Our findings suggest that OECD countries should increase their renewable energy consumption and reduce municipal waste and CO2 emissions. Investment subsidies should be provided to support the development and adoption of energy-efficient technologies and promote awareness in the community and industry to improve the efficiency of renewable energy to combat climate change.
引用
收藏
页数:12
相关论文
共 85 条
[11]   Public-private partnerships as a policy response to climate change [J].
Buso, Marco ;
Stenger, Anne .
ENERGY POLICY, 2018, 119 :487-+
[12]   Green fiscal policy and firms' investment efficiency: New insights into firm-level panel data from the renewable energy industry in China [J].
Chang, Kai ;
Wan, Qiong ;
Lou, Qichun ;
Chen, Yili ;
Wang, Weihong .
RENEWABLE ENERGY, 2020, 151 :589-597
[13]   Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach [J].
Chang, Young-Tae ;
Park, Hyo-soo ;
Jeong, Jae-beom ;
Lee, Jin-woo .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2014, 27 :46-50
[14]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[15]   Additive slacks-based measure: Computational strategy and extension to network DEA [J].
Chen, Kun ;
Zhu, Joe .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2020, 91
[16]   A Common Set of Weights for Ranking Decision-Making Units with Undesirable Outputs: A Double Frontiers Data Envelopment Analysis Approach [J].
Chen, Lei ;
Wu, Fei-Mei ;
Feng, Feng ;
Lai, Fujun ;
Wang, Ying-Ming .
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2018, 35 (06)
[17]   Does energy productivity and public-private investment in energy achieve carbon neutrality target of China? [J].
Cheng, Gang ;
Zhao, Changjuan ;
Iqbal, Najaf ;
Gulmez, Ozge ;
Isik, Hayriye ;
Kirikkaleli, Dervis .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 298
[18]   The productivity of Chinese patents: The role of business area and ownership type [J].
Christodoulou, Demetris ;
Lev, Baruch ;
Ma, Le .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2018, 199 :107-124
[19]   On the future of technological forecasting [J].
Coates, V ;
Farooque, M ;
Klavans, R ;
Lapid, K ;
Linstone, HA ;
Pistorius, C ;
Porter, AL .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2001, 67 (01) :1-17
[20]   The role of renewable energy policies for carbon neutrality in Helsinki Metropolitan area [J].
Dahal, Karna ;
Juhola, Sirkku ;
Niemela, Jari .
SUSTAINABLE CITIES AND SOCIETY, 2018, 40 :222-232