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Alexander Vaninsky

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

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Articles

  1. Alexander Vaninsky, 2018. "Optimal environment-friendly economic restructuring: the United States–China cooperation case study," Economic Change and Restructuring, Springer, vol. 51(3), pages 189-220, August.

    Cited by:

    1. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    2. Canh Q. Le & Hoang-Mai T. Bui, 2022. "Optimal economic restructuring to reduce carbon emissions intensity using the projected gradient algorithm," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6271-6287, May.
    3. Vaninsky, Alexander, 2023. "Roadmapping green economic restructuring: A Ricardian gradient approach," Energy Economics, Elsevier, vol. 125(C).
    4. Wang, Zheng-Xin & Jv, Yue-Qi, 2021. "A non-linear systematic grey model for forecasting the industrial economy-energy-environment system," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Maria Markaki & Stelios Papadakis & Anna Putnová, 2021. "A Modern Industrial Policy for the Czech Republic: Optimizing the Structure of Production," Mathematics, MDPI, vol. 9(23), pages 1-20, November.

  2. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.

    Cited by:

    1. Roman Lacko & Zuzana Hajduová, 2018. "Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    2. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    3. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energy–environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.
    4. Wang, Ying & Deng, Xiangzheng & Zhang, Hongwei & Liu, Yujie & Yue, Tianxiang & Liu, Gang, 2022. "Energy endowment, environmental regulation, and energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    5. Jing Bian & Feng Lan & Zhao Hui & Jiamin Bai & Yuanping Wang, 2022. "Ecological Well-Being Performance Evaluation of Chinese Major Node Cities along the Belt and Road," Land, MDPI, vol. 11(11), pages 1-19, October.
    6. Yu Hao & Yunxia Guo & Haitao Wu, 2022. "The role of information and communication technology on green total factor energy efficiency: Does environmental regulation work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 403-424, January.
    7. Anatolyy Dzyuba & Irina Solovyeva, 2020. "Demand-side Management in Territorial Entities based on their Volatility Trends," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 302-315.
    8. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
    9. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    10. Kiani Mavi, Reza & Kiani Mavi, Neda & Farzipoor Saen, Reza & Goh, Mark, 2022. "Common weights analysis of renewable energy efficiency of OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    12. Małgorzata Janicka & Artur Sajnóg, 2023. "Do environmental and economic performance go hand in hand? An industrial analysis of European Union companies with the non‐parametric data envelopment analysis method," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2590-2605, September.
    13. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    14. Sun, Huaping & Kporsu, Anthony Kwaku & Taghizadeh-Hesary, Farhad & Edziah, Bless Kofi, 2020. "Estimating environmental efficiency and convergence: 1980 to 2016," Energy, Elsevier, vol. 208(C).
    15. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    16. Qingxian An & Xiangyang Tao & Bo Dai & Jinlin Li, 2020. "Modified Distance Friction Minimization Model with Undesirable Output: An Application to the Environmental Efficiency of China’s Regional Industry," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1047-1071, April.

  3. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.

    Cited by:

    1. Lin Zhu & Lichun He & Peipei Shang & Yingchun Zhang & Xiaojun Ma, 2018. "Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation," Energies, MDPI, vol. 11(9), pages 1-26, September.
    2. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    3. Xiang, Xiwang & Ma, Minda & Ma, Xin & Chen, Liming & Cai, Weiguang & Feng, Wei & Ma, Zhili, 2022. "Historical decarbonization of global commercial building operations in the 21st century," Applied Energy, Elsevier, vol. 322(C).
    4. Chen, Jiandong & Xu, Chong & Wang, Yuzhi & Li, Ding & Song, Malin, 2021. "Carbon neutrality based on vegetation carbon sequestration for China's cities and counties: Trend, inequality and driver," Resources Policy, Elsevier, vol. 74(C).
    5. Jian Liu & Qingshan Yang & Yu Zhang & Wen Sun & Yiming Xu, 2019. "Analysis of CO 2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition," Sustainability, MDPI, vol. 11(1), pages 1-28, January.
    6. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    7. Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "Towards green recovery: Platform economy and its impact on carbon emissions in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 969-987.
    8. Ke Liu & Xinyue Xie & Mingxue Zhao & Qian Zhou, 2022. "Carbon Emissions in the Yellow River Basin: Analysis of Spatiotemporal Evolution Characteristics and Influencing Factors Based on a Logarithmic Mean Divisia Index (LMDI) Decomposition Method," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    9. Qinyi Huang & Yu Zhang, 2021. "Decoupling and Decomposition Analysis of Agricultural Carbon Emissions: Evidence from Heilongjiang Province, China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    10. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    11. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    12. Mohamad Taghvaee, Vahid & Hajiani, Parviz, 2015. "Environment, Energy, and Environmental Productivity of Energy: A Decomposition Analysis in China and the US," MPRA Paper 70057, University Library of Munich, Germany.
    13. Viktor Koval & Viktoriia Khaustova & Stella Lippolis & Olha Ilyash & Tetiana Salashenko & Piotr Olczak, 2023. "Fundamental Shifts in the EU’s Electric Power Sector Development: LMDI Decomposition Analysis," Energies, MDPI, vol. 16(14), pages 1-22, July.
    14. Han Sun & Chao Huang & Shan Ni, 2022. "Driving factors of consumption-based PM2.5 emissions in China: an application of the generalized Divisia index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10209-10231, August.
    15. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    16. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    17. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    18. Liu, Jian & Yang, Qingshan & Ou, Suhua & Liu, Jie, 2022. "Factor decomposition and the decoupling effect of carbon emissions in China's manufacturing high-emission subsectors," Energy, Elsevier, vol. 248(C).
    19. Xindong Wang & Chun Yan & Wei Liu & Xinhong Liu, 2022. "Research on Carbon Emissions Prediction Model of Thermal Power Plant Based on SSA-LSTM Algorithm with Boiler Feed Water Influencing Factors," Sustainability, MDPI, vol. 14(23), pages 1-26, November.
    20. Pan, Yuling & Dong, Feng, 2022. "Dynamic evolution and driving factors of new energy development: Fresh evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    21. Jieting Yin & Chaowei Huang, 2022. "Analysis on Influencing Factors Decomposition and Decoupling Effect of Power Carbon Emissions in Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    22. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    23. Changyou Zhang & Wenyu Zhang & Weina Luo & Xue Gao & Bingchen Zhang, 2021. "Analysis of Influencing Factors of Carbon Emissions in China’s Logistics Industry: A GDIM-Based Indicator Decomposition," Energies, MDPI, vol. 14(18), pages 1-23, September.
    24. Shangjiu Wang & Shaohua Zhang & Liang Cheng, 2023. "Drivers and Decoupling Effects of PM 2.5 Emissions in China: An Application of the Generalized Divisia Index," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    25. Hongju Da & Degang Xu & Jufeng Li & Zhihe Tang & Jiaxin Li & Chen Wang & Hui Luan & Fang Zhang & Yong Zeng, 2023. "Influencing Factors of Carbon Emission from Typical Refining Units: Identification, Analysis, and Mitigation Potential," Energies, MDPI, vol. 16(18), pages 1-17, September.
    26. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    27. Zhiyong Chang & Yunmeng Jiao & Xiaojing Wang, 2023. "Influencing the Variable Selection and Prediction of Carbon Emissions in China," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    28. Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
    29. Yang, Jing & Song, Kaihui & Hou, Jian & Zhang, Peidong & Wu, Jinhu, 2017. "Temporal and spacial dynamics of bioenergy-related CO2 emissions and underlying forces analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1323-1330.
    30. Renquan Huang & Jing Tian, 2022. "Dynamic Scenario Analysis of Science and Technology Innovation to Support Chinese Cities in Achieving the “Double Carbon” Goal: A Case Study of Xi’an City," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    31. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).
    32. Bolin Yu & Debin Fang & Andrew N. Kleit & Kun Xiao, 2022. "Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries," The World Economy, Wiley Blackwell, vol. 45(9), pages 2766-2795, September.
    33. Liu, Yisheng & Yang, Meng & Cheng, Feiyu & Tian, Jinzhao & Du, Zhuoqun & Song, Pengbo, 2022. "Analysis of regional differences and decomposition of carbon emissions in China based on generalized divisia index method," Energy, Elsevier, vol. 256(C).
    34. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    35. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    36. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
    37. Junliang Yang & Haiyan Shan, 2019. "Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    38. Fang, Debin & Hao, Peng & Yu, Qian & Wang, Jiancheng, 2020. "The impacts of electricity consumption in China's key economic regions," Applied Energy, Elsevier, vol. 267(C).
    39. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
    40. Yong Wang & Yu Zhou & Lin Zhu & Fei Zhang & Yingchun Zhang, 2018. "Influencing Factors and Decoupling Elasticity of China’s Transportation Carbon Emissions," Energies, MDPI, vol. 11(5), pages 1-29, May.
    41. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    42. Zhang, Shufan & Zhou, Nan & Feng, Wei & Ma, Minda & Xiang, Xiwang & You, Kairui, 2023. "Pathway for decarbonizing residential building operations in the US and China beyond the mid-century," Applied Energy, Elsevier, vol. 342(C).
    43. Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.
    44. Yan, Ran & Ma, Minda & Zhou, Nan & Feng, Wei & Xiang, Xiwang & Mao, Chao, 2023. "Towards COP27: Decarbonization patterns of residential building in China and India," Applied Energy, Elsevier, vol. 352(C).

  4. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.

    Cited by:

    1. Jahangoshai Rezaee, Mustafa & Moini, Alireza & Makui, Ahmad, 2012. "Operational and non-operational performance evaluation of thermal power plants in Iran: A game theory approach," Energy, Elsevier, vol. 38(1), pages 96-103.
    2. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    3. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    4. Cuviella-Suárez, Carlos & Colmenar-Santos, Antonio & Castro-Gil, Manuel, 2012. "Tri-generation system to couple production to demand in a combined cycle," Energy, Elsevier, vol. 40(1), pages 271-290.
    5. Yu-Ying Lin, Eugene & Chen, Ping-Yu & Chen, Chi-Chung, 2013. "Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach," Energy, Elsevier, vol. 55(C), pages 340-353.

  5. Vaninsky, Alexander, 2006. "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis," Energy Economics, Elsevier, vol. 28(3), pages 326-338, May.

    Cited by:

    1. Gautier, Axel & Nsabimana, René & Walheer, Barnabé, 2023. "Quality performance gaps and minimal electricity losses in East Africa," Utilities Policy, Elsevier, vol. 82(C).
    2. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    3. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    4. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    5. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    6. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 5902-5911, October.
    7. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    8. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2016. "Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency," CEEP-BIT Working Papers 93, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
    10. Ren, Fang-rong & Tian, Ze & Liu, Jingjing & Shen, Yu-ting, 2020. "Analysis of CO2 emission reduction contribution and efficiency of China’s solar photovoltaic industry: Based on Input-output perspective," Energy, Elsevier, vol. 199(C).
    11. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    12. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    13. Wei Wei & Shuangying Ding & Silin Zheng & Jingjing Ma & Tong Niu & Jinkai Li, 2021. "Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model," IJERPH, MDPI, vol. 18(23), pages 1-21, November.
    14. Lin, Boqiang & Raza, Muhammad Yousaf, 2020. "Coal and economic development in Pakistan: A necessity of energy source," Energy, Elsevier, vol. 207(C).
    15. Toshiyuki Sueyoshi & Mika Goto, 2017. "World trend in energy: an extension to DEA applied to energy and environment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-23, December.
    16. Lau, Kwok Hung, 2013. "Measuring distribution efficiency of a retail network through data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 598-611.
    17. Zhou, Wei & Chen, Jin, 2021. "Is R&D helpful for China’s energy technology and engineering industry to respond to external uncertainties?," Energy, Elsevier, vol. 226(C).
    18. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    19. Ogunrinde, Olawale & Shittu, Ekundayo, 2023. "Efficiency and productivity of renewable energy technologies: Evidence from U.S. investor-owned utilities across regional markets," Utilities Policy, Elsevier, vol. 82(C).
    20. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    21. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    22. Olanrewaju, O.A & Jimoh, A.A, 2014. "Review of energy models to the development of an efficient industrial energy model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 661-671.
    23. Jin-Peng Liu & Qian-Ru Yang & Lin He, 2017. "Total-Factor Energy Efficiency (TFEE) Evaluation on Thermal Power Industry with DEA, Malmquist and Multiple Regression Techniques," Energies, MDPI, vol. 10(7), pages 1-14, July.
    24. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
    25. Lee, Boon L. & Wilson, Clevo & Simshauser, Paul & Majiwa, Eucabeth, 2021. "Deregulation, efficiency and policy determination: An analysis of Australia's electricity distribution sector," Energy Economics, Elsevier, vol. 98(C).
    26. Li, Hong-Zhou & Tian, Xian-Liang & Zou, Tao, 2015. "Impact analysis of coal-electricity pricing linkage scheme in China based on stochastic frontier cost function," Applied Energy, Elsevier, vol. 151(C), pages 296-305.
    27. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    28. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    29. Shrivastava, Naveen & Sharma, Seema & Chauhan, Kavita, 2012. "Efficiency assessment and benchmarking of thermal power plants in India," Energy Policy, Elsevier, vol. 40(C), pages 159-176.
    30. Xin-gang, Zhao & Zhen, Wei, 2019. "The technical efficiency of China's wind power list enterprises: An estimation based on DEA method and micro-data," Renewable Energy, Elsevier, vol. 133(C), pages 470-479.
    31. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
    32. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale on U.S. fossil fuel power plants: Radial and non-radial approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 34(6), pages 2240-2259.
    33. Biswaranjita Mahapatra & Chandan Bhar & Sandeep Mondal, 2020. "Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index," Energies, MDPI, vol. 13(18), pages 1-21, September.
    34. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    35. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    36. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    37. Shui-Mu Ju & Nan Liu, 2015. "Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 571-590, August.
    38. Olanrewaju, O.A. & Jimoh, A.A. & Kholopane, P.A., 2013. "Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model," Energy, Elsevier, vol. 63(C), pages 225-232.
    39. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    40. Fallahi, Alireza & Ebrahimi, Reza & Ghaderi, S.F., 2011. "Measuring efficiency and productivity change in power electric generation management companies by using data envelopment analysis: A case study," Energy, Elsevier, vol. 36(11), pages 6398-6405.
    41. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    42. Baek, Chulwoo & Jung, Euy-Young & Lee, Jeong-Dong, 2014. "Effects of regulation and economic environment on the electricity industry׳s competitiveness: A study based on OECD countries," Energy Policy, Elsevier, vol. 72(C), pages 120-128.
    43. Narayanan, Shankar & Kim, Hyunho & Umans, Ari & Yang, Sungwoo & Li, Xiansen & Schiffres, Scott N. & Rao, Sameer R. & McKay, Ian S. & Rios Perez, Carlos A. & Hidrovo, Carlos H. & Wang, Evelyn N., 2017. "A thermophysical battery for storage-based climate control," Applied Energy, Elsevier, vol. 189(C), pages 31-43.
    44. Bai-Chen, Xie & Ying, Fan & Qian-Qian, Qu, 2012. "Does generation form influence environmental efficiency performance? An analysis of China’s power system," Applied Energy, Elsevier, vol. 96(C), pages 261-271.
    45. Gharneh, Naser Shams & Nabavieh, Alireza & Gholamiangonabadi, Davoud & Alimoradi, Mohammad, 2014. "Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants," Utilities Policy, Elsevier, vol. 31(C), pages 114-120.
    46. Sai, Rockson & Lin, Boqiang, 2022. "Productivity assessment of power generation in Kenya: What are the impacts?," Energy, Elsevier, vol. 254(PA).
    47. Geissler, Bernhard & Mew, Michael C. & Weber, Olaf & Steiner, Gerald, 2015. "Efficiency performance of the world's leading corporations in phosphate rock mining," Resources, Conservation & Recycling, Elsevier, vol. 105(PB), pages 246-258.
    48. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    49. Chen, Chung-Chiang, 2010. "A performance evaluation of MSW management practice in Taiwan," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1353-1361.
    50. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Regulation, pollution and heterogeneity in Japanese steam power generation companies," Energy Policy, Elsevier, vol. 37(8), pages 3109-3114, August.
    51. Yue Xu & Zebin Wang & Yung-Ho Chiu & Fangrong Ren, 2020. "Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies," Energy & Environment, , vol. 31(5), pages 903-919, August.
    52. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
    53. Arocena, Pablo, 2008. "Cost and quality gains from diversification and vertical integration in the electricity industry: A DEA approach," Energy Economics, Elsevier, vol. 30(1), pages 39-58, January.
    54. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.

  6. Maital, Shlomo & Vaninsky, Alexander, 2001. "Data envelopment analysis with resource constraints: An alternative model with non-discretionary factors," European Journal of Operational Research, Elsevier, vol. 128(1), pages 206-212, January.

    Cited by:

    1. Ruggiero, John, 2004. "Performance evaluation when non-discretionary factors correlate with technical efficiency," European Journal of Operational Research, Elsevier, vol. 159(1), pages 250-257, November.

  7. Shlomo Maital & Alexander Vaninsky, 2000. "Productivity Paradoxes and Their Resolution," Journal of Productivity Analysis, Springer, vol. 14(3), pages 191-207, November.

    Cited by:

    1. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    2. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    3. Alexander Vaninsky, 2018. "Optimal environment-friendly economic restructuring: the United States–China cooperation case study," Economic Change and Restructuring, Springer, vol. 51(3), pages 189-220, August.

  8. Maital, Shlomo & Vaninsky, Alexander, 1999. "Data envelopment analysis with a single DMU: A graphic projected-gradient approach," European Journal of Operational Research, Elsevier, vol. 115(3), pages 518-528, June.

    Cited by:

    1. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
    2. Shlomo Maital & Alexander Vaninsky, 2000. "Productivity Paradoxes and Their Resolution," Journal of Productivity Analysis, Springer, vol. 14(3), pages 191-207, November.
    3. Bana e Costa, Carlos A. & Soares de Mello, João Carlos C.B. & Angulo Meza, Lidia, 2016. "A new approach to the bi-dimensional representation of the DEA efficient frontier with multiple inputs and outputs," European Journal of Operational Research, Elsevier, vol. 255(1), pages 175-186.
    4. Lozano, Sebastián & Calzada-Infante, Laura, 2018. "Computing gradient-based stepwise benchmarking paths," Omega, Elsevier, vol. 81(C), pages 195-207.
    5. Vaninsky, Alexander, 2023. "Roadmapping green economic restructuring: A Ricardian gradient approach," Energy Economics, Elsevier, vol. 125(C).
    6. Vaninsky, Alexander, 2006. "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis," Energy Economics, Elsevier, vol. 28(3), pages 326-338, May.
    7. Alexander Vaninsky, 2018. "Optimal environment-friendly economic restructuring: the United States–China cooperation case study," Economic Change and Restructuring, Springer, vol. 51(3), pages 189-220, August.
    8. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.

  9. Beni Lauterbach & Alexander Vaninsky, 1999. "Ownership Structure and Firm Performance: Evidence from Israel," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 3(2), pages 189-201, June.

    Cited by:

    1. Nada Kobeissi, 2004. "Ownership Structure and Bank Performance: Evidence from the Middle East and North Africa," Working Papers 0413, Economic Research Forum, revised 06 Mar 2004.
    2. Jörg Zimmermann & Wolfgang Sofka, 2013. "Knowledge search versus knowledge deployment: How foreignness can be both an asset and a liability for firms," JRC Working Papers on Corporate R&D and Innovation 2013-03, Joint Research Centre.
    3. Chun Yip Desmondy Yuen & Zhang Xu Steven & Liu Ming Morris & Vanessa Chan Lu, 2009. "A Case Study of Voluntary Disclosure by Chinese Enterprises," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 1(2), pages 118145-1181, December.
    4. Kettunen, Jukka & Martikainen, Minna & Voulgaris, Georgios, 2021. "Employment policies in private loss firms: Return to profitability and the role of family CEOs," Journal of Business Research, Elsevier, vol. 135(C), pages 373-390.
    5. Abd Hadi Mustaffa & Nur Zahidah Bahrudin & Zahariah Sahudin & Hasni Abdullah & Muhammad Ridzuan Abdul Aziz, 2023. "What have we Learned from Firm Efficiency Research for the Past 35 Years? A Bibliometric Analysis," Information Management and Business Review, AMH International, vol. 15(1), pages 216-227.
    6. Ayranci, Evren, 2010. "Family involvement in and institutionalization of family businesses: A research," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 3(3), pages 1-22, October.
    7. Randall Morck & M. Deniz Yavuz & Bernard Yeung, 2009. "Banking System Control, Capital Allocation, and Economy Performance," NBER Working Papers 15575, National Bureau of Economic Research, Inc.
    8. Suveera Gill & Parmjit Kaur, 2015. "Family Involvement in Business and Financial Performance: A Panel Data Analysis," Vikalpa: The Journal for Decision Makers, , vol. 40(4), pages 395-420, December.
    9. Sciascia, Salvatore & Mazzola, Pietro & Kellermanns, Franz W., 2014. "Family management and profitability in private family-owned firms: Introducing generational stage and the socioemotional wealth perspective," Journal of Family Business Strategy, Elsevier, vol. 5(2), pages 131-137.
    10. Sher Zaman Khan & Qing Yang & Najib Ullah Khan & Sonia Kherbachi & Martina Huemann, 2020. "Sustainable social responsibility toward multiple stakeholders as a trump card for small and medium‐sized enterprise performance (evidence from China)," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(1), pages 95-108, January.
    11. Matthew W. Rutherford & Donald F. Kuratko & Daniel T. Holt, 2008. "Examining the Link between “Familiness†and Performance: Can the F–PEC Untangle the Family Business Theory Jungle?," Entrepreneurship Theory and Practice, , vol. 32(6), pages 1089-1109, November.
    12. Erbetta, Fabrizio & Menozzi, Anna & Corbetta, Guido & Fraquelli, Giovanni, 2013. "Assessing family firm performance using frontier analysis techniques: Evidence from Italian manufacturing industries," Journal of Family Business Strategy, Elsevier, vol. 4(2), pages 106-117.
    13. Hülsbeck, Marcel & Lehmann, Erik E. & Weiß, Dominik & Wirsching, Katharine, 2011. "Innovationsverhalten in Familienunternehmen," UO Working Papers 02-11, University of Augsburg, Chair of Management and Organization.
    14. Di Cai & Jin-hui Luo & Di-fang Wan, 2012. "Family CEOs: Do they benefit firm performance in China?," Asia Pacific Journal of Management, Springer, vol. 29(4), pages 923-947, December.
    15. Daniele Cerrato & Mariacristina Piva, 2007. "The Internationalization of Small and Medium-sized Enterprises: the Effect of Family Management, Human Capital and Foreign Ownership," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises0748, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    16. Sallahuddin Hassan & Zalila Othman & Mukaramah Harun, 2020. "Ownership Structure Variation and Firm Efficiency," Papers 2001.05575, arXiv.org.
    17. Wenyi Chu, 2009. "The influence of family ownership on SME performance: evidence from public firms in Taiwan," Small Business Economics, Springer, vol. 33(3), pages 353-373, October.
    18. Demirbag, Mehmet & McGuinness, Martina & Akin, Ahmet & Bayyurt, Nizamettin & Basti, Eyup, 2016. "The professional service firm (PSF) in a globalised economy: A study of the efficiency of securities firms in an emerging market," International Business Review, Elsevier, vol. 25(5), pages 1089-1102.
    19. Erik Lehmann & Jürgen Weigand & Susanne Warning, 2004. "Governance Structures, Efficiency, and Firm Profitability," Papers on Entrepreneurship, Growth and Public Policy 2004-22, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    20. Garcia-Castro, Roberto & Aguilera, Ruth V., 2014. "Family involvement in business and financial performance: A set-theoretic cross-national inquiry," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 85-96.
    21. Gutierrez, Luis H. & Pombo, Carlos & Taborda, Rodrigo, 2008. "Ownership and control in Colombian corporations," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(1), pages 22-47, February.
    22. Angus W. H. Yip & William Y. P. Yu, 2023. "The Quality of Environmental KPI Disclosure in ESG Reporting for SMEs in Hong Kong," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    23. Nahila Nazir & Amarjeet Kaur Malhotra, 2016. "The Effect of Ownership Structure on Firm Profitability in India: A Panel Data Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(6), pages 237-237, June.
    24. Zbigniew Drewniak & Urszula Słupska & Agnieszka Gozdziewska-Nowicka, 2020. "Succession and Ownership in Family Businesses," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 638-654.
    25. Leo Vashkor Dewri, 2022. "A Critical Assessment of Interrelationship Among Corporate Governance, Financial Performance, Refined Economic Value Added to Measure Firm Value and Return on Stock," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2718-2759, December.
    26. Ku-Hsieh Chen & Pei-Hwa Chen & Julie Ann Elston & Yingchao Zhang, 2023. "Are family firms more efficient? Revisiting the U-shaped curve of scale and efficiency," Small Business Economics, Springer, vol. 61(3), pages 983-1008, October.
    27. Barth, Erling & Gulbrandsen, Trygve & Schonea, Pal, 2005. "Family ownership and productivity: the role of owner-management," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 107-127, March.
    28. He, Yan & Chiu, Yung-ho & Zhang, Bin, 2015. "The impact of corporate governance on state-owned and non-state-owned firms efficiency in China," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 252-277.

  10. Chebat, Jean-Charles & Filiatrault, Pierre & Gelinas-Chebat, Claire & Vaninsky, Alexander, 1995. "Impact of waiting attribution and consumer's mood on perceived quality," Journal of Business Research, Elsevier, vol. 34(3), pages 191-196, November.

    Cited by:

    1. Chebat, Jean-Charles & Sirgy, M. Joseph & St-James, Valerie, 2006. "Upscale image transfer from malls to stores: A self-image congruence explanation," Journal of Business Research, Elsevier, vol. 59(12), pages 1288-1296, November.
    2. Obeng, Efua & Nakhata, Chinintorn & Kuo, Hsiao-Ching, 2019. "“Paying it forward: The reciprocal effect of superior service on charity at checkout”," Journal of Business Research, Elsevier, vol. 98(C), pages 250-260.
    3. Chaoying Tang & Craig R. Seal & Stefanie E. Naumann & Krystal Miguel, 2013. "Emotional Labor: The Role of Employee Acting Strategies on Customer Emotional Experience and Subsequent Buying Decisions," International Review of Management and Marketing, Econjournals, vol. 3(2), pages 50-57.
    4. Skorek Monika, 2016. "Attitudes of Polish Consumers Toward Experiential Marketing," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 24(4), pages 109-124, December.
    5. Kim, May & Trail, Galen T., 2010. "The effects of service provider employment status and service quality exchange on perceived organizational image and purchase intention," Sport Management Review, Elsevier, vol. 13(3), pages 225-234, August.
    6. Chebat, Jean Charles, 2004. "Shoppers' inference: Selected papers from the third retail seminar of the SMA," Journal of Business Research, Elsevier, vol. 57(10), pages 1153-1154, October.
    7. Mohamed Arfan Taha Alamrawy & Thowayeb H. Hassan & Mahmoud I. Saleh & Mostafa A. Abdelmoaty & Amany E. Salem & Hassan Marzok Elsayed Mahmoud & Ahmed H. Abdou & Mohamed Y. Helal & Amira Hassan Abdellmo, 2023. "Tourist Attribution toward Destination Brands: What Do We Know? What We Do Not Know? Where Should We Be Heading?," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    8. Dant, Rajiv P. & Lumpkin, James R. & Rawwas, Mohammed Y. A., 1998. "Sources of Generalized versus Issue-Specific Dis/Satisfaction in Service Channels of Distribution: A Review and Comparative Investigation," Journal of Business Research, Elsevier, vol. 42(1), pages 7-23, May.
    9. Turley, L. W. & Milliman, Ronald E., 2000. "Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence," Journal of Business Research, Elsevier, vol. 49(2), pages 193-211, August.
    10. S. De Man & D. Vandaele & P. Gemmel, 2004. "The waiting experience and consumer perception of service quality in outpatient clinics," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/229, Ghent University, Faculty of Economics and Business Administration.
    11. Bidyut Jyoti Gogoi, 2017. "Effect of Store Design on Perceived Crowding and Impulse Buying Behavior," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 180-186.
    12. Alexandra Ganglmair-Wooliscroft & Rob Lawson, 2012. "Subjective Wellbeing and its Influence on Consumer Sentiment Towards Marketing: A New Zealand Example," Journal of Happiness Studies, Springer, vol. 13(1), pages 149-166, March.
    13. Michael Hui & Alan Tse & Lianxi Zhou, 2006. "Interaction between two types of information on reactions to delays," Marketing Letters, Springer, vol. 17(2), pages 151-162, April.
    14. Babin, Barry J. & Attaway, Jill S., 2000. "Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer," Journal of Business Research, Elsevier, vol. 49(2), pages 91-99, August.

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