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Yixiang Zhang

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 & Zhongmin Yang & Yixiang Zhang, 2012. "Relationships between energy technology patents and CO2 emissions in China: An empirical study," CEEP-BIT Working Papers 34, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    2. Zhang, Gupeng & Duan, Hongbo & Wang, Shouyang & Zhang, Qianlong, 2018. "Comparative technological advantages between China and developed areas in respect of energy production: Quantitative and qualitative measurements based on patents," Energy, Elsevier, vol. 162(C), pages 1223-1233.
    3. Hao, Yu & Zhang, Tianli & Jing, Leijie & Xiao, Linqi, 2019. "Would the decoupling of electricity occur along with economic growth? Empirical evidence from the panel data analysis for 100 Chinese cities," Energy, Elsevier, vol. 180(C), pages 615-625.
    4. Wong, Chan-Yuan & Fatimah Mohamad, Zeeda & Keng, Zi-Xiang & Ariff Azizan, Suzana, 2014. "Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies," Energy Policy, Elsevier, vol. 73(C), pages 789-802.
    5. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    6. 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.

  2. Yixiang Zhang & Zhaohua Wang & Guanghui Zhou, 2012. "Determinants and implications of employee electricity saving habit: An empirical study in China," CEEP-BIT Working Papers 35, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. 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.
    2. 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.
    3. Nataf, Kalen & Bradley, Thomas H., 2016. "An economic comparison of battery energy storage to conventional energy efficiency technologies in Colorado manufacturing facilities," Applied Energy, Elsevier, vol. 164(C), pages 133-139.
    4. Schall, Dominik L. & Mohnen, Alwine, 2017. "Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving," Applied Energy, Elsevier, vol. 185(P2), pages 1757-1768.

  3. Zhao-Hua Wang & Hua-Lin Zeng & Yi-Ming Wei & Yi-Xiang Zhang, 2011. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," CEEP-BIT Working Papers 26, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.

    Cited by:

    1. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, Open Access Journal, vol. 6(8), pages 1-17, August.
    2. Xie, Wei & Sheng, Pengfei & Guo, Xiaohui, 2015. "Coal, oil, or clean energy: Which contributes most to the low energy efficiency in China?," Utilities Policy, Elsevier, vol. 35(C), pages 67-71.
    3. Ke Wang & Xueying Yu, 2017. "Industrial Energy and Environment Efficiency of Chinese Cities: An Analysis Based on Range-Adjusted Measure," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1023-1042, July.
    4. 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.
    5. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, Open Access Journal, vol. 7(4), pages 1-18, March.
    6. 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.
    7. 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.
    8. He, Yongxiu & Guang, Fengtao & Wang, Meiyan, 2018. "The efficiency of electricity-use of China and its influencing factors," Energy, Elsevier, vol. 163(C), pages 258-269.
    9. 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.
    10. Chao Xu & Yunpeng Wang & Lili Li & Peng Wang, 2018. "Spatiotemporal Trajectory of China’s Provincial Energy Efficiency and Implications on the Route of Economic Transformation," Sustainability, MDPI, Open Access Journal, vol. 10(12), pages 1-14, December.
    11. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    12. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    13. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    14. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    15. Yang, Fuxia & Yang, Mian & Nie, Hualin, 2013. "Productivity trends of Chinese regions: A perspective from energy saving and environmental regulations," Applied Energy, Elsevier, vol. 110(C), pages 82-89.
    16. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    17. Krarti, Moncef & Dubey, Kankana & Howarth, Nicholas, 2019. "Energy productivity analysis framework for buildings: a case study of GCC region," Energy, Elsevier, vol. 167(C), pages 1251-1265.
    18. Martchamadol, Jutamanee & Kumar, S., 2014. "The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level," Applied Energy, Elsevier, vol. 127(C), pages 219-238.
    19. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," 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. 92(3), pages 1593-1616, July.
    20. Coatalem, Martin & Mazauric, Vincent & Le Pape-Gardeux, Claude & Maïzi, Nadia, 2017. "Optimizing industries’ power generation assets on the electricity markets," Applied Energy, Elsevier, vol. 185(P2), pages 1744-1756.
    21. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    22. Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    23. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    24. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    25. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    26. Nicholas Apergis & Tsangyao Chang & Rangan Gupta & Emmanuel Ziramba, 2015. "Hydroelectricity Consumption and Economic Growth Nexus: Evidence from a Panel of Ten Largest Hydroelectricity Consumers," Working Papers 201538, University of Pretoria, Department of Economics.
    27. 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.
    28. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    29. Xia, X.H. & Chen, Y.B. & Li, J.S. & Tasawar, H. & Alsaedi, A. & Chen, G.Q., 2014. "Energy regulation in China: Objective selection, potential assessment and responsibility sharing by partial frontier analysis," Energy Policy, Elsevier, vol. 66(C), pages 292-302.
    30. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    31. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    32. Zhu, Qinghua, 2016. "Institutional pressures and support from industrial zones for motivating sustainable production among Chinese manufacturers," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 402-409.
    33. Qi, Xiaoyan & Guo, Pibin & Guo, Yanshan & Liu, Xiuli & Zhou, Xijun, 2020. "Understanding energy efficiency and its drivers: An empirical analysis of China’s 14 coal intensive industries," Energy, Elsevier, vol. 190(C).
    34. 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.
    35. Gao, Cuixia & Sun, Mei & Shen, Bo & Li, Ranran & Tian, Lixin, 2014. "Optimization of China's energy structure based on portfolio theory," Energy, Elsevier, vol. 77(C), pages 890-897.
    36. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    37. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    38. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    39. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    40. 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.
    41. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    42. Jingrong Xu & Dechun Huang & Zhengqi He & Yun Zhu, 2020. "Research on the Structural Features and Influential Factors of the Spatial Network of China’s Regional Ecological Efficiency Spillover," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-22, April.
    43. Delu Wang & Kaidi Wan & Jingyuan Yang, 2019. "Ecological efficiency of coal cities in China: evaluation and influence factors," 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. 95(1), pages 363-379, January.
    44. Zhihai Yang & Dong Wang & Tianyi Du & Anlu Zhang & Yixiao Zhou, 2018. "Total-Factor Energy Efficiency in China’s Agricultural Sector: Trends, Disparities and Potentials," Energies, MDPI, Open Access Journal, vol. 11(4), pages 1-16, April.
    45. 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.
    46. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    47. Tyralis, Hristos & Mamassis, Nikos & Photis, Yorgos N., 2017. "Spatial analysis of the electrical energy demand in Greece," Energy Policy, Elsevier, vol. 102(C), pages 340-352.
    48. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    49. Gökgöz, Fazıl & Güvercin, Mustafa Taylan, 2018. "Energy security and renewable energy efficiency in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 226-239.
    50. Song, Chenxi & Li, Mingjia & Wen, Zhexi & He, Ya-Ling & Tao, Wen-Quan & Li, Yangzhe & Wei, Xiangyang & Yin, Xiaolan & Huang, Xing, 2014. "Research on energy efficiency evaluation based on indicators for industry sectors in China," Applied Energy, Elsevier, vol. 134(C), pages 550-562.
    51. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.
    52. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    53. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    54. Barros, C.P. & Wanke, Peter & Dumbo, Silvestre & Manso, Jose Pires, 2017. "Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 588-596.
    55. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    56. 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.
    57. 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.
    58. 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.
    59. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    60. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
    61. Maria J. Herrerias & Roselyne Joyeux & Eric Girardin, 2013. "Short- and long-run causality between energy consumption and economic growth : evidence across regions in China," Post-Print hal-01499624, HAL.
    62. 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.
    63. Sefa Awaworyi Churchill & Vinod Mishra, 2017. "Trust, Social Networks and Subjective Wellbeing in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 313-339, May.
    64. 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.
    65. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    66. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    67. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    68. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
    69. 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.
    70. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    71. Li, Lei & Chi, Ting & Wang, Shi, 2016. "Is energy utilization among Chinese provinces sustainable?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 198-206.
    72. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Liu, Jianghua, 2017. "Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1379-1388.
    73. 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.
    74. 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.
    75. Jiancheng Qin & Hui Tao & Chinhsien Cheng & Karthikeyan Brindha & Minjin Zhan & Jianli Ding & Guijin Mu, 2020. "Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-15, February.
    76. 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.
    77. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    78. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    79. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    80. 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.
    81. 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.
    82. Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "The energy efficiency advantage of foreign-invested enterprises in China and the role of structural differences," China Economic Review, Elsevier, vol. 34(C), pages 225-235.
    83. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, Open Access Journal, vol. 13(14), pages 1-20, July.

  4. 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. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    3. 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.
    4. Guomin Li & Wei Li & Zihan Jin & Zhihao Wang, 2019. "Influence of Environmental Concern and Knowledge on Households’ Willingness to Purchase Energy-Efficient Appliances: A Case Study in Shanxi, China," Sustainability, MDPI, Open Access Journal, vol. 11(4), pages 1-18, February.
    5. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
    6. Stephanie Paige Williams & Gladman Thondhlana & Harn Wei Kua, 2020. "Electricity Use Behaviour in a High-Income Neighbourhood in Johannesburg, South Africa," Sustainability, MDPI, Open Access Journal, vol. 12(11), pages 1-19, June.
    7. 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.
    8. 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.
    9. 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.
    10. Kar Hoong Chan & Lee Lee Chong & Tuan Hock Ng, 2020. "Are Malaysian Companies Ready for Environmental Practices? An Extension of Theory of Planned Behavior," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 495-507.
    11. 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.
    12. 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.
    13. WeiYu Ji & Edwin H. W. Chan, 2019. "Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study," Energies, MDPI, Open Access Journal, vol. 12(21), pages 1-24, November.
    14. 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.
    15. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    16. 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.
    17. Innocent, Morgane & Francois-Lecompte, Agnès, 2018. "The values of electricity saving for consumers," Energy Policy, Elsevier, vol. 123(C), pages 136-146.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
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Articles

  1. 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.
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  2. Zhang, Yixiang & Wang, Zhaohua & Zhou, Guanghui, 2013. "Antecedents of employee electricity saving behavior in organizations: An empirical study based on norm activation model," Energy Policy, Elsevier, vol. 62(C), pages 1120-1127.

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    3. Lingjun Guo & Yi Xu & Guangfu Liu & Tao Wang, 2019. "Understanding Firm Performance on Green Sustainable Practices through Managers’ Ascribed Responsibility and Waste Management: Green Self-Efficacy as Moderator," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-16, September.
    4. Mohammad Dalvi-Esfahani & Hamed Shahbazi & Mehrbakhsh Nilashi, 2019. "Moderating Effects of Demographics on Green Information System Adoption," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-24, February.
    5. Paillé, Pascal & Raineri, Nicolas, 2015. "Linking perceived corporate environmental policies and employees eco-initiatives: The influence of perceived organizational support and psychological contract breach," Journal of Business Research, Elsevier, vol. 68(11), pages 2404-2411.
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    8. Han, Heesup & Hyun, Sunghyup Sean, 2018. "What influences water conservation and towel reuse practices of hotel guests?," Tourism Management, Elsevier, vol. 64(C), pages 87-97.
    9. Faiq Aziz & Nomahaza Mahadi & Rahayu Tasnim & Adriana Mohd Rizal & Shathees Baskaran & Suzilawati Kamarudin & Farzana Quoquab & Jihad Mohammad, 2018. "Linking Emotional Intelligence with Employee ProEnvironmental Behavior," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(2), pages 502-522, February.
    10. Wei-Ta Fang & Yi-Te Chiang & Eric Ng & Jen-Chieh Lo, 2019. "Using the Norm Activation Model to Predict the Pro-Environmental Behaviors of Public Servants at the Central and Local Governments in Taiwan," Sustainability, MDPI, Open Access Journal, vol. 11(13), pages 1-20, July.
    11. Yang Chen, 2020. "An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-19, March.
    12. 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.
    13. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    14. Han, Heesup, 2015. "Travelers' pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior," Tourism Management, Elsevier, vol. 47(C), pages 164-177.
    15. Akvile Cibinskiene & Daiva Dumciuviene & Meda Andrijauskiene, 2020. "Energy Consumption in Public Buildings: The Determinants of Occupants’ Behavior," Energies, MDPI, Open Access Journal, vol. 13(14), pages 1-23, July.
    16. Khosrowpour, Ardalan & Jain, Rishee K. & Taylor, John E. & Peschiera, Gabriel & Chen, Jiayu & Gulbinas, Rimas, 2018. "A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation," Applied Energy, Elsevier, vol. 218(C), pages 304-316.
    17. Zhang, Yixiang & Wei, Yimin & Zhou, Guanghui, 2018. "Promoting firms’ energy-saving behavior: The role of institutional pressures, top management support and financial slack," Energy Policy, Elsevier, vol. 115(C), pages 230-238.
    18. 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.
    19. Faiq Aziz* & Nomahaza Mahadi & Jihad Mohammad, 2018. "Employee Pro-Environmental Behaviour: A Systematic Review and Suggestions for Future Research," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 272-280:2.
    20. Peidong Sang & Haona Yao & Lin Zhang & Sen Wang & Yanjie Wang & Jinjian Liu, 2020. "Influencing factors of consumers’ willingness to purchase green housing: a survey from Shandong Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4267-4287, June.
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    22. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    23. Dong, Xiaoyang & Zhang, Bin & Wang, Bo & Wang, Zhaohua, 2020. "Urban households’ purchase intentions for pure electric vehicles under subsidy contexts in China: Do cost factors matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 183-197.
    24. Sunmi Yun & Taeuk Kim, 2019. "What Do Coffee Shop Entrepreneurs Need to Do to Raise Pro-Environmental Customer Behavioral Intentions?," Sustainability, MDPI, Open Access Journal, vol. 11(9), pages 1-19, May.

  3. Wang, Zhaohua & Yang, Zhongmin & Zhang, Yixiang & Yin, Jianhua, 2012. "Energy technology patents–CO2 emissions nexus: An empirical analysis from China," Energy Policy, Elsevier, vol. 42(C), pages 248-260.

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    2. 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.
    3. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    4. Zhang, Gupeng & Duan, Hongbo & Wang, Shouyang & Zhang, Qianlong, 2018. "Comparative technological advantages between China and developed areas in respect of energy production: Quantitative and qualitative measurements based on patents," Energy, Elsevier, vol. 162(C), pages 1223-1233.
    5. Jiao, Jianling & Jiang, Guili & Yang, Ranran, 2018. "Impact of R&D technology spillovers on carbon emissions between China’s regions," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 35-45.
    6. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    7. Yanwen Sheng & Yi Miao & Jinping Song & Hongyan Shen, 2019. "The Moderating Effect of Innovation on the Relationship between Urbanization and CO 2 Emissions: Evidence from Three Major Urban Agglomerations in China," Sustainability, MDPI, Open Access Journal, vol. 11(6), pages 1-21, March.
    8. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT 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. 88(3), pages 1545-1564, September.
    9. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    10. Tobias Wendler, 2019. "About the Relationship Between Green Technology and Material Usage," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1383-1423, November.
    11. 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.
    12. Wong, Chan-Yuan & Fatimah Mohamad, Zeeda & Keng, Zi-Xiang & Ariff Azizan, Suzana, 2014. "Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies," Energy Policy, Elsevier, vol. 73(C), pages 789-802.
    13. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    14. Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    15. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    16. Santillán Soto, Néstor & García Cueto, O. Rafael & Ojeda Benítez, Sara & Lambert Arista, Alejandro Adolfo, 2014. "Photovoltaic low power systems and their environmental impact:Yuma, Arizona, U.S.A. case study and projections for Mexicali, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 172-177.
    17. Lin, Boqiang & Chen, Yufang, 2019. "Impacts of policies on innovation in wind power technologies in China," Applied Energy, Elsevier, vol. 247(C), pages 682-691.
    18. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    19. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis 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. 88(2), pages 1211-1227, September.

  4. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.

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    3. Jialing Zou & Zhipeng Tang & Shuang Wu, 2019. "Divergent Leading Factors in Energy-Related CO 2 Emissions Change among Subregions of the Beijing–Tianjin–Hebei Area from 2006 to 2016: An Extended LMDI Analysis," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-17, September.
    4. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    5. Chen, B. & Li, J.S. & Zhou, S.L. & Yang, Q. & Chen, G.Q., 2018. "GHG emissions embodied in Macao's internal energy consumption and external trade: Driving forces via decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4100-4106.
    6. Tsai, Bi-Huei & Chang, Chih-Jen & Chang, Chun-Hsien, 2016. "Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models," Energy, Elsevier, vol. 100(C), pages 416-424.
    7. Shoufu Lin & Ji Sun & Dora Marinova & Dingtao Zhao, 2017. "Effects of Population and Land Urbanization on China’s Environmental Impact: Empirical Analysis Based on the Extended STIRPAT Model," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-21, May.
    8. Yabo Zhao & Shaojian Wang, 2015. "The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-19, May.
    9. Wang, Yuan & Zhang, Xiang & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2015. "A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 704-709.
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    11. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    12. Franco, Sainu & Mandla, Venkata Ravibabu & Ram Mohan Rao, K., 2017. "Urbanization, energy consumption and emissions in the Indian context A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 898-907.
    13. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    14. Liobikienė, Genovaitė & Butkus, Mindaugas, 2019. "Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions," Renewable Energy, Elsevier, vol. 132(C), pages 1310-1322.
    15. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    16. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-18, January.
    17. 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.
    18. Panagiotis Fotis & Michael Polemis, 2018. "Sustainable development, environmental policy and renewable energy use: A dynamic panel data approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(6), pages 726-740, November.
    19. Pan, Xunzhang & Teng, Fei & Wang, Gehua, 2014. "Sharing emission space at an equitable basis: Allocation scheme based on the equal cumulative emission per capita principle," Applied Energy, Elsevier, vol. 113(C), pages 1810-1818.
    20. 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.
    21. Hamisu Sadi Ali & Sallahuddin Hassan & Yusuf Ibrahim Kofarmata & Yusuf Ibrahim Kofarmata, 2016. "Dynamic Impact of Income Inequality on Carbon Dioxide Emissions in Africa: New Evidence from Heterogeneous Panel Data Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 6(4), pages 760-766.
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  5. 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.

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    1. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," AMSE Working Papers 1548, Aix-Marseille School of Economics, France, revised 10 Nov 2015.
    2. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
    3. Christophe Muller & Huijie Yan, 2018. "Household Fuel Use in Rural China," AMSE Working Papers 1808, Aix-Marseille School of Economics, France.
    4. Evens Salies, 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?," Post-Print hal-02314758, HAL.
    5. 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.
    6. Liu, Jian, 2012. "Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing," Energy Policy, Elsevier, vol. 51(C), pages 544-557.
    7. 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.
    8. Xiaoping He & David Reiner, 2014. "Electricity Demand and Basic Needs: Empirical Evidence from China's Households," Working Papers EPRG 1416, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    18. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," Working Papers halshs-01247183, HAL.
    19. 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.
    20. Ali, Ghaffar & Yan, Ningyu & Hussain, Jafar & Xu, Lilai & Huang, Yunfeng & Xu, Su & Cui, Shenghui, 2019. "Quantitative assessment of energy conservation and renewable energy awareness among variant urban communities of Xiamen, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 230-238.
    21. 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.
    22. 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.
    23. 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.
    24. Herrerias, M.J., 2013. "Seasonal anomalies in electricity intensity across Chinese regions," Applied Energy, Elsevier, vol. 112(C), pages 1548-1557.
    25. 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.
    26. 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.
    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.
    29. Fu, Xin & Zeng, Xiao-Jun & Feng, Pengpeng & Cai, Xiuwen, 2018. "Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China," Energy, Elsevier, vol. 165(PB), pages 76-89.
    30. 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.
    31. 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.
    32. 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.

  6. 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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