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Bin Zhang

Personal Details

First Name:Bin
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh618
[This author has chosen not to make the email address public]

Affiliation

Center for Energy and Environmental Policy Research (CEEP)
Beijing Institute of Technology

Beijing, China
http://ceep.bit.edu.cn/

: 86-10-68918651
86-10-68918651

RePEc:edi:cebitcn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Zhaohua Wang & Bin Zhang & Yixiang Zhang, 2011. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," CEEP-BIT Working Papers 14, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  2. Zhaohua Wang & Bin Zhang & Jianhua Yin & Yixiang Zhang, 2010. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing China," CEEP-BIT Working Papers 13, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

Articles

  1. Zhang, Bin & Wang, Zhaohua, 2014. "Inter-firm collaborations on carbon emission reduction within industrial chains in China: Practices, drivers and effects on firms' performances," Energy Economics, Elsevier, vol. 42(C), pages 115-131.
  2. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
  3. Zhaohua Wang & Bin Zhang & Jianhua Yin, 2012. "Determinants of the increased CO 2 emission and adaption strategy in Chinese energy-intensive industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 17-30, May.
  4. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
  5. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.

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

  1. Zhaohua Wang & Bin Zhang & Yixiang Zhang, 2011. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," CEEP-BIT Working Papers 14, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Sun, Dingqiang & Bai, Junfei & Qiu, Huanguang & Cai, Yaqing, 2014. "Impact of government subsidies on household biogas use in rural China," Energy Policy, Elsevier, vol. 73(C), pages 748-756.
    2. Liu, Jian, 2012. "Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing," Energy Policy, Elsevier, vol. 51(C), pages 544-557.
    3. Li, Yao & Fan, Jin & Zhao, Dingtao & Wu, Yanrui & Li, Jun, 2016. "Tiered gasoline pricing: A personal carbon trading perspective," Energy Policy, Elsevier, vol. 89(C), pages 194-201.
    4. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    5. Xiaoping He & David Reiner, 2014. "Electricity Demand and Basic Needs: Empirical Evidence from China’s Households," Cambridge Working Papers in Economics 1442, Faculty of Economics, University of Cambridge.
    6. Salies, Evens, 2012. "Lin, B., Jiang, Z, 2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, pp. 164–173: How biased is the measurement of household’s loss?," MPRA Paper 46811, University Library of Munich, Germany.
    7. Christophe Muller & Huijie Yan, 2018. "Household Fuel Use in Rural China," Working Papers halshs-01735847, HAL.
    8. Sun, Mei & Li, Juan & Gao, Cuixia & Han, Dun, 2017. "Identifying regime shifts in the US electricity market based on price fluctuations," Applied Energy, Elsevier, vol. 194(C), pages 658-666.
    9. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    10. Takahashi, Tomoki & Sato, Toru, 2015. "Inclusive environmental impact assessment indices with consideration of public acceptance: Application to power generation technologies in Japan," Applied Energy, Elsevier, vol. 144(C), pages 64-72.
    11. Herrerias, M.J., 2013. "Seasonal anomalies in electricity intensity across Chinese regions," Applied Energy, Elsevier, vol. 112(C), pages 1548-1557.
    12. Xun Zhang & Yuehui Ma & Bin Ye & Zhang-Ming Chen & Ling Xiong, 2016. "Feasibility Analyses of Developing Low Carbon City with Hybrid Energy Systems in China: The Case of Shenzhen," Sustainability, MDPI, Open Access Journal, vol. 8(5), pages 1-16, May.
    13. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
    14. Jing Liang & Yueming Qiu & Poornima Padmanabhan, 2017. "Consumers’ Attitudes towards Surcharges on Distributed Renewable Energy Generation and Energy Efficiency Programs," Sustainability, MDPI, Open Access Journal, vol. 9(8), pages 1-23, August.
    15. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    16. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," AMSE Working Papers 1548, Aix-Marseille School of Economics, Marseille, France, revised 10 Nov 2015.
    17. Sun, Chuanwang, 2015. "An empirical case study about the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 160(C), pages 383-389.
    18. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    19. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    20. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    21. Hensher, David A. & Shore, Nina & Train, Kenneth, 2014. "Willingness to pay for residential electricity supply quality and reliability," Applied Energy, Elsevier, vol. 115(C), pages 280-292.
    22. Ding, Wenguang & Niu, Hewen & Chen, Jinsong & Du, Jun & Wu, Yang, 2012. "Influence of household biogas digester use on household energy consumption in a semi-arid rural region of northwest China," Applied Energy, Elsevier, vol. 97(C), pages 16-23.
    23. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," Working Papers halshs-01247183, HAL.
    24. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    25. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    26. Zyadin, Anas & Puhakka, Antero & Halder, Pradipta & Ahponen, Pirkkoliisa & Pelkonen, Paavo, 2014. "The relative importance of home, school, and traditional mass media sources in elevating youth energy awareness," Applied Energy, Elsevier, vol. 114(C), pages 409-416.
    27. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    28. Baharoon, Dhyia Aidroos & Rahman, Hasimah Abdul & Fadhl, Saeed Obaid, 2016. "Personal and psychological factors affecting the successful development of solar energy use in Yemen power sector: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 516-535.

  2. Zhaohua Wang & Bin Zhang & Jianhua Yin & Yixiang Zhang, 2010. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing China," CEEP-BIT Working Papers 13, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Hara, Keishiro & Uwasu, Michinori & Kishita, Yusuke & Takeda, Hiroyuki, 2015. "Determinant factors of residential consumption and perception of energy conservation: Time-series analysis by large-scale questionnaire in Suita, Japan," Energy Policy, Elsevier, vol. 87(C), pages 240-249.
    2. Stamatios Ntanos & Grigorios L. Kyriakopoulos & Garyfallos Arabatzis & Vasilios Palios & Miltiadis Chalikias, 2018. "Environmental Behavior of Secondary Education Students: A Case Study at Central Greece," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-22, May.
    3. Sun, Dingqiang & Bai, Junfei & Qiu, Huanguang & Cai, Yaqing, 2014. "Impact of government subsidies on household biogas use in rural China," Energy Policy, Elsevier, vol. 73(C), pages 748-756.
    4. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    5. Camara, N’Famory & Xu, Deyi & Binyet, Emmanuel, 2018. "Enhancing household energy consumption: How should it be done?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 669-681.
    6. Nakamura, Hidenori, 2013. "Effects of social participation and the emergence of voluntary social interactions on household power-saving practices in post-disaster Kanagawa, Japan," Energy Policy, Elsevier, vol. 54(C), pages 397-403.
    7. Fateh Belaid & Thomas Garcia, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Post-Print halshs-01366168, HAL.
    8. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    9. Ohler, Adrienne M. & Billger, Sherrilyn M., 2014. "Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage," Ecological Economics, Elsevier, vol. 107(C), pages 1-12.
    10. Wang, Zhaohua & Wang, Xiaomeng & Guo, Dongxue, 2017. "Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work?," Energy Policy, Elsevier, vol. 102(C), pages 430-439.
    11. Kusaka, Wakana & Kojima, Michikazu & Watanabe, Mariko, 2012. "Environmental consciousness, economic gain and consumer choice of energy efficient appliances in Thailand, China and India," IDE Discussion Papers 345, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    12. Tan, Chin-Seang & Ooi, Hooi-Yin & Goh, Yen-Nee, 2017. "A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia," Energy Policy, Elsevier, vol. 107(C), pages 459-471.
    13. Park, Eunil & Kwon, Sang Jib, 2017. "What motivations drive sustainable energy-saving behavior?: An examination in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 494-502.
    14. Fumitoshi Mizutani & Eri Nakamura, 2015. "An Analysis of Household Electricity Saving Behavior Using the Stochastic Frontier Function," Discussion Papers 2015-10, Kobe University, Graduate School of Business Administration.
    15. Guo Li & Wenling Liu & Zhaohua Wang & Mengqi Liu, 2017. "An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing," Annals of Operations Research, Springer, vol. 255(1), pages 507-524, August.
    16. Tabi, Andrea, 2013. "Does pro-environmental behaviour affect carbon emissions?," Energy Policy, Elsevier, vol. 63(C), pages 972-981.
    17. Karim Khan & Anwar Shah & Jaffar Khan, 2016. "Electricity Consumption Patterns: Comparative Evidence from Pakistan’s Public and Private Sectors," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 21(1), pages 99-122, Jan-June.
    18. Kwakwa, Paul Adjei, 2014. "Energy-growth nexus and energy demand in Ghana: A review of empirical studies," MPRA Paper 54971, University Library of Munich, Germany, revised 01 Apr 2014.
    19. Abubakar Hamid Danlami & Rabiul Islam & Shri Dewi Applanaidu, 2015. "An Analysis of the Determinants of Households’ Energy Choice: A Search for Conceptual Framework," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 197-205.
    20. Abubakar Hamid Danlami, 2017. "Determinants of Household Electricity Consumption in Bauchi State, Nigeria," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 5(1), pages 16-28, March.
    21. Sun, Chuanwang, 2015. "An empirical case study about the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 160(C), pages 383-389.
    22. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    23. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-20, December.
    24. Licheng Sun & Qunwei Wang & Shilong Ge, 2018. "Urban resident energy-saving behavior: a case study under the A2SC framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 515-536, March.
    25. Hori, Shiro & Kondo, Kayoko & Nogata, Daisuke & Ben, Han, 2013. "The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities," Energy Policy, Elsevier, vol. 52(C), pages 354-362.
    26. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    27. Jun Hou & Weifeng Zhang & Pei Wang & Zhengxia Dou & Liwei Gao & David Styles, 2017. "Greenhouse Gas Mitigation of Rural Household Biogas Systems in China: A Life Cycle Assessment," Energies, MDPI, Open Access Journal, vol. 10(2), pages 1-14, February.
    28. Mohammad Z. Hasan & Ronald A. Ratti, 2015. "Coal Sector Returns and Oil Prices: Developed and Emerging Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 515-524.
    29. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Sarra, Alessandro, 2017. "Exploring additional determinants of energy-saving behaviour: The influence of individuals' participation in cultural activities," Energy Policy, Elsevier, vol. 108(C), pages 503-511.
    30. Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
    31. Wang, Bo & Wang, Xiaomeng & Guo, Dongxue & Zhang, Bin & Wang, Zhaohua, 2018. "Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?," Energy Policy, Elsevier, vol. 116(C), pages 68-77.
    32. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    33. Lopes, M.A.R. & Antunes, C.H. & Martins, N., 2012. "Energy behaviours as promoters of energy efficiency: A 21st century review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4095-4104.
    34. Düştegör, Dilek & Sultana, Nahid & Felemban, Noor & Al Qahtani, Deemah, 2018. "A smarter electricity grid for the Eastern Province of Saudi Arabia: Perceptions and policy implications," Utilities Policy, Elsevier, vol. 50(C), pages 26-39.
    35. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    36. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    37. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    38. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    39. Zhang, Yixiang & Wang, Zhaohua & Zhou, Guanghui, 2013. "Determinants and implications of employee electricity saving habit: An empirical study in China," Applied Energy, Elsevier, vol. 112(C), pages 1529-1535.
    40. Baharoon, Dhyia Aidroos & Rahman, Hasimah Abdul & Fadhl, Saeed Obaid, 2016. "Personal and psychological factors affecting the successful development of solar energy use in Yemen power sector: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 516-535.
    41. Wang, Shanyong & Lin, Shoufu & Li, Jun, 2018. "Exploring the effects of non-cognitive and emotional factors on household electricity saving behavior," Energy Policy, Elsevier, vol. 115(C), pages 171-180.
    42. Halder, Pradipta & Pietarinen, Janne & Havu-Nuutinen, Sari & Pöllänen, Sinikka & Pelkonen, Paavo, 2016. "The Theory of Planned Behavior model and students' intentions to use bioenergy: A cross-cultural perspective," Renewable Energy, Elsevier, vol. 89(C), pages 627-635.
    43. Tampakis, Stilianos & Arabatzis, Garyfallos & Tsantopoulos, Georgios & Rerras, Ioannis, 2017. "Citizens’ views on electricity use, savings and production from renewable energy sources: A case study from a Greek island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 39-49.
    44. Yan, Bofeng & Xue, Song & Li, Yuanfei & Duan, Jinhui & Zeng, Ming, 2016. "Gas-fired combined cooling, heating and power (CCHP) in Beijing: A techno-economic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 118-131.
    45. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    46. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
    47. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.

Articles

  1. Zhang, Bin & Wang, Zhaohua, 2014. "Inter-firm collaborations on carbon emission reduction within industrial chains in China: Practices, drivers and effects on firms' performances," Energy Economics, Elsevier, vol. 42(C), pages 115-131.

    Cited by:

    1. Fortune Ganda & Khazamula Samson Milondzo, 2018. "The Impact of Carbon Emissions on Corporate Financial Performance: Evidence from the South African Firms," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-22, July.
    2. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Energy consumption, CO2 emissions, and economic growth: An ethical dilemma," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 808-824.
    3. Zheng, Huan-yu & Wang, Ling, 2015. "Reduction of carbon emissions and project makespan by a Pareto-based estimation of distribution algorithm," International Journal of Production Economics, Elsevier, vol. 164(C), pages 421-432.
    4. Kimitaka Nishitani & Katsuhiko Kokubu & Takehisa Kajiwara, 2016. "Does low-carbon supply chain management reduce greenhouse gas emissions more effectively than existing environmental initiatives? An empirical analysis of Japanese manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 33-60, February.
    5. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    6. Fortune Ganda, 2018. "The influence of carbon emissions disclosure on company financial value in an emerging economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1723-1738, August.
    7. Perroni, Marcos G. & Gouvea da Costa, Sergio E. & Pinheiro de Lima, Edson & Vieira da Silva, Wesley, 2017. "The relationship between enterprise efficiency in resource use and energy efficiency practices adoption," International Journal of Production Economics, Elsevier, vol. 190(C), pages 108-119.
    8. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    9. Apergis, Nicholas & Chang, Tsangyao & Gupta, Rangan & Ziramba, Emmanuel, 2016. "Hydroelectricity consumption and economic growth nexus: Evidence from a panel of ten largest hydroelectricity consumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 318-325.
    10. Fernandez, E. & Albizu, I. & Bedialauneta, M.T. & Mazon, A.J. & Leite, P.T., 2016. "Review of dynamic line rating systems for wind power integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 80-92.
    11. Hu, Junjie & Morais, Hugo & Sousa, Tiago & Lind, Morten, 2016. "Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1207-1226.
    12. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    13. Lin, Boqiang & Atsagli, Philip & Dogah, Kingsley E., 2016. "Ghanaian energy economy: Inter-production factors and energy substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1260-1269.
    14. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.

  2. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.

    Cited by:

    1. 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.
    2. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-17, September.
    3. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, Open Access Journal, vol. 9(11), pages 1-18, November.
    4. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    6. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    7. Gong, Shixin & Shao, Cheng & Zhu, Li, 2017. "Energy efficiency evaluation in ethylene production process with respect to operation classification," Energy, Elsevier, vol. 118(C), pages 1370-1379.
    8. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    9. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    10. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, Open Access Journal, vol. 7(4), pages 1-15, April.
    11. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    12. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Energy consumption, CO2 emissions, and economic growth: An ethical dilemma," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 808-824.
    13. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    14. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    15. Pengfei Sheng & Jun Yang & Joshua D. Shackman, 2015. "Energy’s Shadow Price and Energy Efficiency in China: A Non-Parametric Input Distance Function Analysis," Energies, MDPI, Open Access Journal, vol. 8(3), pages 1-15, March.
    16. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    17. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    18. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    19. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    20. Apergis, Nicholas & Chang, Tsangyao & Gupta, Rangan & Ziramba, Emmanuel, 2016. "Hydroelectricity consumption and economic growth nexus: Evidence from a panel of ten largest hydroelectricity consumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 318-325.
    21. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, Open Access Journal, vol. 10(3), pages 1-24, March.
    22. Zhu, Qinghua & Geng, Yong & Sarkis, Joseph, 2016. "Shifting Chinese organizational responses to evolving greening pressures," Ecological Economics, Elsevier, vol. 121(C), pages 65-74.
    23. Wei Li & Shuang Sun & Hao Li, 2015. "Decomposing the decoupling relationship between energy-related CO 2 emissions and economic growth in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 977-997, November.
    24. Fernandez, E. & Albizu, I. & Bedialauneta, M.T. & Mazon, A.J. & Leite, P.T., 2016. "Review of dynamic line rating systems for wind power integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 80-92.
    25. Ruiz-Fuensanta, María J., 2016. "The region matters: A comparative analysis of regional energy efficiency in Spain," Energy, Elsevier, vol. 101(C), pages 325-331.
    26. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    27. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    28. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    29. Shao, Liuguo & He, Yingying & Feng, Chao & Zhang, Shijing, 2016. "An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry," Resources Policy, Elsevier, vol. 50(C), pages 264-269.
    30. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    31. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    32. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

  3. Zhaohua Wang & Bin Zhang & Jianhua Yin, 2012. "Determinants of the increased CO 2 emission and adaption strategy in Chinese energy-intensive industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 17-30, May.

    Cited by:

    1. Xiangrong Ma & Jianping Ge & Wei Wang, 2017. "The relationship between urbanization, income growth and carbon dioxide emissions and the policy implications for China: a cointegrated vector error correction (VEC) analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 1017-1033, June.
    2. Thollander, Patrik & Kimura, Osamu & Wakabayashi, Masayo & Rohdin, Patrik, 2015. "A review of industrial energy and climate policies in Japan and Sweden with emphasis towards SMEs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 504-512.
    3. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    4. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 257-272, February.
    5. Zhaohua Wang & Chen Wang & Jianhua Yin, 2015. "Strategies for addressing climate change on the industrial level: affecting factors to CO 2 emissions of energy-intensive industries in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 303-317, February.
    6. Max Rånge & Mikael Sandberg, 2016. "Windfall gains or eco-innovation? ‘Green’ evolution in the Swedish innovation system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(2), pages 229-246, April.
    7. Juan Wang & Tao Zhao & Xiaohu Zhang, 2017. "Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1655-1675, September.
    8. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.

  4. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
    See citations under working paper version above.
  5. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    See citations under working paper version above.

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