Energy and CO 2 emissions efficiency of major economies: A network DEA approach
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Bin Zhang | Bo Wang | Yaser Iftikhar | Zhaohua Wang | Zhaohua Wang | Bin Zhang | Bo Wang | Yaser Iftikhar
[1] Constantin Zopounidis,et al. A Two-stage Approach for Energy Efficiency Analysis in European Union Countries , 2015 .
[2] Kaoru Tone,et al. Network DEA: A slacks-based measure approach , 2009, Eur. J. Oper. Res..
[3] Qiang Cui,et al. Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012 , 2016 .
[4] K. Tone,et al. Dynamic DEA: A slacks-based measure approach , 2010 .
[5] Jun Bi,et al. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs , 2010 .
[6] Toshiyuki Sueyoshi,et al. DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries , 2014 .
[7] José Ramón San Cristóbal,et al. A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies , 2011 .
[8] Yanghon Chung,et al. The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries , 2015 .
[9] Aihua Wu,et al. Energy efficiency evaluation for regions in China: an application of DEA and Malmquist indices , 2014 .
[10] Laure Latruffe,et al. Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric framework , 2016, Eur. J. Oper. Res..
[11] Tser-yieth Chen,et al. A comparative study of energy utilization efficiency between Taiwan and China , 2010 .
[12] Chuanguo Zhang,et al. Panel estimation for income inequality and CO2 emissions: A regional analysis in China , 2014 .
[13] A. R. Gómez-Calvet,et al. Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures? , 2014 .
[14] Ching-Cheng Lu,et al. Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model , 2013 .
[15] Wei Zhang,et al. China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation , 2013, Math. Comput. Model..
[16] Malin Song,et al. A two-stage DEA approach for environmental efficiency measurement , 2014, Environmental Monitoring and Assessment.
[17] Joe Zhu,et al. Data envelopment analysis : a handbook on the modeling of internal structures and networks , 2014 .
[18] Bai-Chen Xie,et al. Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countries , 2014 .
[19] Boqiang Lin,et al. Regional differences of CO2 emissions performance in China’s agricultural sector: A Malmquist index approach , 2015 .
[20] Yue-Jun Zhang,et al. The decomposition of energy-related carbon emission and its decoupling with economic growth in China , 2015 .
[21] H. Wang,et al. A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator , 2015 .
[22] Yue-Jun Zhang,et al. The CO2 emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level , 2016 .
[23] Ke Wang,et al. Energy efficiency of China's industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis , 2015 .
[24] B. W. Ang,et al. Total factor carbon emission performance: A Malmquist index analysis , 2010 .
[25] Zhaohua Wang,et al. Energy and CO2 emissions efficiency of major economies: A non-parametric analysis , 2016 .
[26] Giorgia Oggioni,et al. Eco-efficiency of the world cement industry: A data envelopment analysis , 2011 .
[27] D. Štreimikienė,et al. A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency , 2017 .
[28] José Luis Zofío,et al. Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries , 2001 .
[29] Jin-Li Hu,et al. Ecological total-factor energy efficiency of regions in China , 2012 .
[30] Yong Zha,et al. Measuring regional efficiency of energy and carbon dioxide emissions in China: A chance constrained DEA approach , 2016, Comput. Oper. Res..
[31] Giorgia Oggioni,et al. Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function , 2012 .
[32] Jin-Li Hu,et al. Industry-level Total-factor Energy Efficiency in Developed Countries , 2011 .
[33] Andrew K. Jorgenson,et al. Income Inequality and Carbon Emissions in the United States: A State-level Analysis, 1997–2012 , 2017 .
[34] Yongpei Hao,et al. Research of Regional Energy Efficiency Based on Undesirable Outputs and Its Influential Factors: A Case of Western China , 2012 .
[35] Zhaohua Wang,et al. An empirical analysis of China's energy efficiency from both static and dynamic perspectives , 2014 .
[36] Satoshi Honma,et al. Total-factor energy productivity growth of regions in Japan , 2009 .
[37] Claudiu Cicea,et al. Environmental efficiency of investments in renewable energy: Comparative analysis at macroeconomic level , 2014 .
[38] M. Song,et al. Bootstrap-DEA analysis of BRICS' energy efficiency based on small sample data , 2013 .
[39] B. W. Ang,et al. Slacks-based efficiency measures for modeling environmental performance , 2006 .
[40] Christina Bampatsou,et al. The Use of the DEA Method for Simultaneous Analysis of The Interrelationships Among Economic Growth, Environmental Pollution And Energy Consumption , 2009 .
[41] D. Large,et al. THE ECONOMICS OF ENERGY EXTRAVAGANCE , 1975 .
[42] William W. Cooper,et al. Handbook on data envelopment analysis , 2011 .
[43] Fan Ying,et al. Does generation form influence environmental efficiency performance? An analysis of China’s power system , 2012 .
[44] Peng Zhou,et al. A non-radial DEA approach to measuring environmental performance , 2007, Eur. J. Oper. Res..
[45] Jin-Li Hu,et al. Renewable energy and macroeconomic efficiency of OECD and non-OECD economies , 2007 .
[46] Michael G. Pollitt,et al. The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants , 2010 .
[47] Jin-Li Hu,et al. Total-factor energy efficiency of regions in Japan , 2008 .
[48] Kaoru Tone,et al. A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..
[49] Ke Chen,et al. The integrated efficiency of economic development and CO2 emissions among Asia Pacific Economic Cooperation members , 2016 .
[50] Yiwen Bian,et al. Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach , 2016 .
[51] Li Yang,et al. Energy saving in China: Analysis on the energy efficiency via bootstrap-DEA approach , 2013 .
[52] Osman Zaim,et al. Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach , 2000 .
[53] Peter Nijkamp,et al. An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis , 2015 .
[54] Ning Zhang,et al. Environmental efficiency analysis of transportation system in China:A non-radial DEA approach , 2013 .
[55] R. Färe,et al. PRODUCTIVITY AND INTERMEDIATE PRODUCTS: A FRONTIER APPROACH , 1995 .
[56] B. W. Ang,et al. Linear programming models for measuring economy-wide energy efficiency performance , 2008 .
[57] Yue-Jun Zhang,et al. The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China , 2014, Natural Hazards.
[58] Kaoru Tone,et al. Dynamic DEA with network structure: A slacks-based measure approach , 2013 .
[59] Jin-Li Hu,et al. Clean energy use and total-factor efficiencies: An international comparison , 2015 .
[60] Boqiang Lin,et al. Impact of energy conservation policies on the green productivity in China's manufacturing sector: Evidence from a three-stage DEA model , 2016 .
[61] Jin-Li Hu,et al. Total-factor energy efficiency of regions in China , 2006 .
[62] Satoshi Honma,et al. Panel Data Parametric Frontier Technique for Measuring Total-factor Energy Efficiency: Application to Japanese Regions , 2014 .
[63] Boqiang Lin,et al. Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach , 2015 .
[64] Ke Wang,et al. A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? , 2012 .
[65] C. Hirschhausen,et al. Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector☆ , 2016 .
[66] Hirofumi Fukuyama,et al. Production , Manufacturing and Logistics Identifying the efficiency status in network DEA , 2012 .
[67] Flávia de Castro Camioto,et al. Energy efficiency analysis of G7 and BRICS considering total-factor structure , 2016 .
[68] Mara Madaleno,et al. The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach , 2017 .
[69] W. Martin,et al. Stakeholder objectives for public lands: Rankings of forest management alternatives , 2000 .