Study of haze emission efficiency based on new co‐opetition data envelopment analysis

[1]  Andrés J. Picazo-Tadeo,et al.  Eco-Efficiency and Convergence in OECD Countries , 2013 .

[2]  Katherine L. Smith,et al.  TEM study of PM2.5 emitted from coal and tire combustion in a thermal power station. , 2006, Environmental science & technology.

[3]  Reza Farzipoor Saen,et al.  Developing a new data envelopment analysis methodology for supplier selection in the presence of both undesirable outputs and imprecise data , 2010 .

[4]  Reza Farzipoor Saen,et al.  Using data envelopment analysis for estimating energy saving and undesirable output abatement: a case study in the Organization for Economic Co-Operation and Development (OECD) countries , 2015 .

[5]  Xianhua Wu,et al.  Effect of air pollution on the stock yield of heavy pollution enterprises in China's key control cities , 2018 .

[6]  Irene Casas,et al.  The Impact of Energy, Transport, and Trade on Air Pollution in China , 2006 .

[7]  Guoliang Yang,et al.  Cross-efficiency evaluation in data envelopment analysis based on prospect theory , 2019, Eur. J. Oper. Res..

[8]  Daniel J. Jacob,et al.  Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: implications for the sensitivity of PM2.5 to climate change. , 2010 .

[9]  Rodney H. Green,et al.  Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .

[10]  Yinchang Feng,et al.  Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China , 2016 .

[11]  Charity Coury,et al.  Trends and sources of particulate matter in the Superstition Wilderness using air trajectory and aerosol cluster analysis , 2007 .

[12]  M. Song,et al.  Bootstrap-DEA analysis of BRICS' energy efficiency based on small sample data , 2013 .

[13]  Andrés J. Picazo-Tadeo,et al.  An intertemporal approach to measuring environmental performance with directional distance functions: Greenhouse gas emissions in the European Union , 2014 .

[14]  Yongxian Su,et al.  Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China , 2018, Journal of Geographical Sciences.

[15]  Wei Zhang,et al.  A Malmquist CO2 emission performance index based on a metafrontier approach , 2013, Math. Comput. Model..

[16]  Jie Wu,et al.  Determination of weights for ultimate cross efficiency using Shannon entropy , 2011, Expert Syst. Appl..

[17]  H. Rahali,et al.  Assessment of reduced-complexity landscape evolution model suitability to adequately simulate flood events in complex flow conditions , 2017, Natural Hazards.

[18]  Peng Jiang,et al.  Weight determination in the cross-efficiency evaluation , 2011, Comput. Ind. Eng..

[19]  Jun Liu,et al.  Identifying the spatial effects and driving factors of urban PM2.5 pollution in China , 2017 .

[20]  Ching-Cheng Lu,et al.  Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China , 2017 .

[21]  Qingyuan Zhu,et al.  Allocating a fixed cost based on a DEA-game cross efficiency approach , 2018, Expert Syst. Appl..

[22]  Jianbing Li,et al.  Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis , 2010, Environ. Model. Softw..

[23]  Tao Ding,et al.  Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method , 2019, Omega.

[24]  Tsun-Jen Cheng,et al.  Chemical composition and bioreactivity of PM2.5 during 2013 haze events in China , 2016 .

[25]  Renjian Zhang,et al.  Chemical characterization and source apportionment of PM 2 . 5 in Beijing : seasonal perspective , 2013 .

[26]  Jie Wu,et al.  Alternative secondary goals in DEA cross-efficiency evaluation , 2008 .

[27]  Malin Song,et al.  Regional operational and environmental performance evaluation in China: non-radial DEA methodology under natural and managerial disposability , 2016, Natural Hazards.

[28]  Mengchu Zhou,et al.  Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China , 2016 .

[29]  Luc Anselin,et al.  Spatial Effects in Econometric Practice in Environmental and Resource Economics , 2001 .

[30]  P. Zhou,et al.  Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure , 2012 .

[31]  Toshiyuki Sueyoshi,et al.  China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution , 2015 .

[32]  Fengyun Wang,et al.  The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China. , 2016, The Science of the total environment.

[33]  Malin Song,et al.  Review of the network environmental efficiencies of listed petroleum enterprises in China , 2015 .

[34]  Dui Wu,et al.  A one-year, on-line, multi-site observational study on water-soluble inorganic ions in PM2.5 over the Pearl River Delta region, China. , 2017, The Science of the total environment.

[35]  K. Chin,et al.  The use of OWA operator weights for cross-efficiency aggregation , 2011 .

[36]  Qingyuan Zhu,et al.  Improving the evaluation of cross efficiencies: A method based on Shannon entropy weight , 2017, Comput. Ind. Eng..

[37]  Shuai Shao,et al.  Impacts of air pollution and its spatial spillover effect on public health based on China's big data sample , 2017 .

[38]  Lina Wang,et al.  Preliminary investigation of PM1, PM2.5, PM10 and its metal elemental composition in tunnels at a subway station in Shanghai, China , 2015 .

[39]  Ying-Ming Wang,et al.  Approaches to determining the relative importance weights for cross-efficiency aggregation in data envelopment analysis , 2013, J. Oper. Res. Soc..

[40]  Ying-Ming Wang,et al.  An aggressive game cross-efficiency evaluation in data envelopment analysis , 2017, Ann. Oper. Res..

[41]  Rob Alexander,et al.  Does regulation stimulate productivity? The effect of air quality policies on the efficiency of US power plants , 2009 .

[42]  Lawrence M. Seiford,et al.  Modeling undesirable factors in efficiency evaluation , 2002, Eur. J. Oper. Res..

[43]  D. Maddison Environmental Kuznets curves: A spatial econometric approach , 2006 .

[44]  Wanhai You,et al.  Spillover effects of economic globalization on CO2 emissions: A spatial panel approach , 2018, Energy Economics.

[45]  Xianhua Wu,et al.  Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China , 2017, Economic Impacts and Emergency Management of Disasters in China.

[46]  W. Cook,et al.  Preference voting and project ranking using DEA and cross-evaluation , 1996 .

[47]  Xingang Liu,et al.  Composition and sources of PM2.5 around the heating periods of 2013 and 2014 in Beijing: Implications for efficient mitigation measures , 2016 .

[48]  B. W. Ang,et al.  Total factor carbon emission performance: A Malmquist index analysis , 2010 .

[49]  Jie Wu,et al.  Cross-Efficiency Evaluation of Taiwan's International Tourist Hotels Under Competitive and Cooperative Relationships , 2013 .

[50]  Jie Wu,et al.  Determination of the Weights of Ultimate Cross Efficiency based on the Solution of Nucleolus in Cooperative Game , 2008 .

[51]  Ma-Lin Song,et al.  Environmental efficiency evaluation with left–right fuzzy numbers , 2017, Oper. Res..

[52]  Evangelos I. Tolis,et al.  Concentration and chemical composition of PM2.5 for a one-year period at Thessaloniki, Greece: A comparison between city and port area , 2015 .

[53]  W. B. Liu,et al.  DEA models with undesirable inputs and outputs , 2010, Ann. Oper. Res..

[54]  Min Hu,et al.  Concentrations and chemical compositions of fine particles (PM2.5) during haze and non-haze days in Beijing , 2016 .

[55]  Jie Wu,et al.  Closest target for the orientation-free context-dependent DEA under variable returns to scale , 2018, J. Oper. Res. Soc..

[56]  Julio Lumbreras,et al.  Analysis of long-range transport influences on urban PM10 using two-stage atmospheric trajectory clusters , 2007 .

[57]  Yingying Wang,et al.  A Study of Allocative Efficiency of PM2.5 Emission Rights Based on a Zero Sum Gains Data Envelopment Model , 2016, Economic Impacts and Emergency Management of Disasters in China.

[58]  Jie Wu,et al.  The DEA Game Cross-Efficiency Model and Its Nash Equilibrium , 2008, Oper. Res..