IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v93y2016icp196-205.html
   My bibliography  Save this item

Who exhibits more energy-saving behavior in direct and indirect ways in china? The role of psychological factors and socio-demographics

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Thea Gregersen & Rouven Doran & Gisela Böhm & Wouter Poortinga, 2021. "Outcome expectancies moderate the association between worry about climate change and personal energy-saving behaviors," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-19, May.
  2. Ranran Yang & Chunxiao Yue & Jingjing Li & Junhong Zhu & Hongshu Chen & Jia Wei, 2020. "The Influence of Information Intervention Cognition on College Students’ Energy-Saving Behavior Intentions," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
  3. Daoyan Guo & Xinping Wang & Taozhu Feng & Shuai Han, 2022. "Factors Influencing the Waste Separation Behaviors of Urban Residents in Shaanxi Province during the 14th National Games of China," IJERPH, MDPI, vol. 19(7), pages 1-14, April.
  4. Jinhua Xie & Gangqiao Yang & Ge Wang & Yaying Zhu & Zhaoxia Guo, 2023. "Substitutes or complements? Exploring the impact of environmental regulations and informal institutions on the clean energy utilization behaviors of farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 3893-3922, May.
  5. Fang, Xingming & Wang, Lu & Sun, Chuanwang & Zheng, Xuemei & Wei, Jing, 2021. "Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China," Energy Policy, Elsevier, vol. 148(PA).
  6. Ha-Hyun Jo & Minwoo Jang & Jaehyeok Kim, 2020. "How Population Age Distribution Affects Future Electricity Demand in Korea: Applying Population Polynomial Function," Energies, MDPI, vol. 13(20), pages 1-17, October.
  7. Rainisio, Nicola & Boffi, Marco & Pola, Linda & Inghilleri, Paolo & Sergi, Ilaria & Liberatori, Maura, 2022. "The role of gender and self-efficacy in domestic energy saving behaviors: A case study in Lombardy, Italy," Energy Policy, Elsevier, vol. 160(C).
  8. Zhang, Jingfei & Zheng, Zhicheng & Zhang, Lijun & Qin, Yaochen & Wang, Jingfan & Cui, Panpan, 2021. "Digital consumption innovation, socio-economic factors and low-carbon consumption: Empirical analysis based on China," Technology in Society, Elsevier, vol. 67(C).
  9. Imbulana Arachchi, Janaki & Managi, Shunsuke, 2021. "Preferences for energy sustainability: Different effects of gender on knowledge and importance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
  10. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
  11. Han, Myat Su & Cudjoe, Dan, 2020. "Determinants of energy-saving behavior of urban residents: Evidence from Myanmar," Energy Policy, Elsevier, vol. 140(C).
  12. Lydia Chu, 2023. "Why Do Consumers Buy Green Smart Buildings without Engaging in Energy-Saving Behaviors in the Workplace? The Perspective of Materialistic Value," Sustainability, MDPI, vol. 15(12), pages 1-9, June.
  13. Fei Wang & Yili Yu & Xinkang Wang & Hui Ren & Miadreza Shafie-Khah & João P. S. Catalão, 2018. "Residential Electricity Consumption Level Impact Factor Analysis Based on Wrapper Feature Selection and Multinomial Logistic Regression," Energies, MDPI, vol. 11(5), pages 1-26, May.
  14. Zou, Baoling & Mishra, Ashok K., 2020. "Appliance usage and choice of energy-efficient appliances: Evidence from rural Chinese households," Energy Policy, Elsevier, vol. 146(C).
  15. Yongliang Yang & Yiyang Guo & Suqing Luo, 2020. "Consumers’ Intention and Cognition for Low-Carbon Behavior: A Case Study of Hangzhou in China," Energies, MDPI, vol. 13(21), pages 1-19, November.
  16. Wang, Li & Zhang, Xin-Hua & Zhang, Yue-Jun, 2023. "Designing the pricing mechanism of residents’ self-selection sales electricity based on household size," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 860-878.
  17. Jingfei Zhang & Lijun Zhang & Yaochen Qin & Xia Wang & Zhicheng Zheng, 2019. "Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China," Sustainability, MDPI, vol. 11(23), pages 1-17, December.
  18. Qi Huang & Aihua Jiang & Yu Zeng & Jianan Xu, 2022. "Community Flexible Load Dispatching Model Based on Herd Mentality," Energies, MDPI, vol. 15(13), pages 1-18, June.
  19. Yin, Peng & Xie, Jingchao & Ji, Ying & Liu, Jiaping & Hou, Qixian & Zhao, Shanshan & Jing, Pengfei, 2023. "Winter indoor thermal environment and heating demand of low-quality centrally heated houses in cold climates," Applied Energy, Elsevier, vol. 331(C).
  20. Yang, Shu & Cheng, Peng & Li, Jun & Wang, Shanyong, 2019. "Which group should policies target? Effects of incentive policies and product cognitions for electric vehicle adoption among Chinese consumers," Energy Policy, Elsevier, vol. 135(C).
  21. Daoyan Guo & Hong Chen & Ruyin Long & Shaohui Zou, 2021. "Determinants of Residents’ Approach–Avoidance Responses to the Personal Carbon Trading Scheme: An Empirical Analysis of Urban Residents in Eastern China," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
  22. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
  23. Dermody, Janine & Koenig-Lewis, Nicole & Zhao, Anita Lifen & Hanmer-Lloyd, Stuart, 2018. "Appraising the influence of pro-environmental self-identity on sustainable consumption buying and curtailment in emerging markets: Evidence from China and Poland," Journal of Business Research, Elsevier, vol. 86(C), pages 333-343.
  24. 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.
  25. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
  26. Yuhuan Xia & Yubo Liu & Changlin Han & Yang Gao & Yuanyuan Lan, 2022. "How Does Environmentally Specific Servant Leadership Fuel Employees’ Low-Carbon Behavior? The Role of Environmental Self-Accountability and Power Distance Orientation," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
  27. Yan Liu & Rong Liu & Xin Jiang, 2019. "What drives low-carbon consumption behavior of Chinese college students? The regulation of situational 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 173-191, January.
  28. Shu Yang & Peng Cheng & Shanyong Wang & Jun Li, 2021. "Towards Sustainable Cities: The Spillover Effects of Waste-Sorting Policies on Sustainable Consumption," IJERPH, MDPI, vol. 18(20), pages 1-16, October.
  29. Yusri Syam Akil & Hajime Miyauchi & Saiful Mangngenre & Kifayah Amar, 2020. "Perceptions and Determinants of SMEs Consumers Behaviors for Electricity Saving: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 168-174.
  30. Wang, Zhaohua & Li, Hao & Deng, Nana & Cheng, Kaiwei & Lu, Bin & Zhang, Bin & Wang, Bo, 2020. "How to effectively implement an incentive-based residential electricity demand response policy? Experience from large-scale trials and matching questionnaires," Energy Policy, Elsevier, vol. 141(C).
  31. Yuzran Bustamar & Ian Lange & Elizabeth Van Wie Davis, 2017. "Characteristic of Successful Energy Policy from Politics, Economics, Social and Technological Perspective - a qualitative analysis," Working Papers 2017-10, Colorado School of Mines, Division of Economics and Business.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.