Antecedents of Electricity-Saving Behavior in Mountain Road Tunnel-Construction Sites: A Multi-Level Modeling Analysis
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Wang, Bo & Yang, Zihan & Le Hoa Pham, Thi & Deng, Nana & Du, Heran, 2023. "Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China," Applied Energy, Elsevier, vol. 340(C).
- Georges, Emeline & Cornélusse, Bertrand & Ernst, Damien & Lemort, Vincent & Mathieu, Sébastien, 2017. "Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect," Applied Energy, Elsevier, vol. 187(C), pages 140-153.
- Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
- Peter Ansu‐Mensah & Murad A. Bein, 2019. "Towards sustainable consumption: Predicting the impact of social‐psychological factors on energy conservation intentions in Northern Cyprus," Natural Resources Forum, Blackwell Publishing, vol. 43(3), pages 181-193, August.
- Long, Ruyin & Wang, Jiaqi & Chen, Hong & Li, Qianwen & Wu, Meifen & Tan-Soo, Jie-Sheng, 2023. "Applying multilevel structural equation modeling to energy-saving behavior: The interaction of individual- and city-level factors," Energy Policy, Elsevier, vol. 174(C).
- Chen, Chung-Jen & Huang, Jing-Wen, 2007. "How organizational climate and structure affect knowledge management—The social interaction perspective," International Journal of Information Management, Elsevier, vol. 27(2), pages 104-118.
- Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
- Murata, Akinobu & Kondou, Yasuhiko & Hailin, Mu & Weisheng, Zhou, 2008. "Electricity demand in the Chinese urban household-sector," Applied Energy, Elsevier, vol. 85(12), pages 1113-1125, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- 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, vol. 8(12), pages 1-20, December.
- 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).
- Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
- Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
- Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
- Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
- Jieyi Kang & David Reiner, 2021.
"Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China,"
Working Papers
EPRG2114, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Kang, J. & Reiner, D., 2021. "Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China," Cambridge Working Papers in Economics 2143, Faculty of Economics, University of Cambridge.
- 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).
- Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
- Ana Escoto Castillo & Landy Sánchez Peña, 2017. "Diffusion of Electricity Consumption Practices in Mexico," Social Sciences, MDPI, vol. 6(4), pages 1-24, November.
- Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
- Duffy, Rachel & Fearne, Andrew & Hornibrook, Sue & Hutchinson, Karise & Reid, Andrea, 2013. "Engaging suppliers in CRM: The role of justice in buyer–supplier relationships," International Journal of Information Management, Elsevier, vol. 33(1), pages 20-27.
- Lixiao Zhang & Zhifeng Yang & Jing Liang & Yanpeng Cai, 2010. "Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China," Energies, MDPI, vol. 4(1), pages 1-13, December.
- Huntington, Hillard G. & Barrios, James J. & Arora, Vipin, 2019.
"Review of key international demand elasticities for major industrializing economies,"
Energy Policy, Elsevier, vol. 133(C).
- Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 95890, University Library of Munich, Germany, revised Aug 2019.
- Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 87532, University Library of Munich, Germany.
- Shao, Shuai & Guo, Longfei & Yu, Mingliang & Yang, Lili & Guan, Dabo, 2019. "Does the rebound effect matter in energy import-dependent mega-cities? Evidence from Shanghai (China)," Applied Energy, Elsevier, vol. 241(C), pages 212-228.
- Chévez, Pedro Joaquín & Martini, Irene & Discoli, Carlos, 2019. "Methodology developed for the construction of an urban-energy diagnosis aimed to assess alternative scenarios: An intra-urban approach to foster cities’ sustainability," Applied Energy, Elsevier, vol. 237(C), pages 751-778.
- Krishnendranath Mitra & Goutam Dutta, 2021. "A novel method of market segmentation and market study for dynamic pricing of retail electricity in India: an experimental approach in a university setup," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 162-184, April.
- Halvorsen, Bente & Larsen, Bodil Merethe, 2021. "Identifying drivers for the direct rebound when energy efficiency is unknown. The importance of substitution and scale effects," Energy, Elsevier, vol. 222(C).
- Yuan, Rong & Behrens, Paul & Rodrigues, João F.D., 2018. "The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012," Energy Economics, Elsevier, vol. 69(C), pages 404-417.
More about this item
Keywords
road tunnel; electricity-saving climate; tunnel-construction sites; multi-level modeling analysis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2593-:d:1361464. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.