IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2022-02-33.html
   My bibliography  Save this article

Factors Affecting Household s Intention to Save Power: The Case of Chau Thanh District Vietnam

Author

Listed:
  • Nguyen Truong Son

    (University of Economics, the University of Danang, Vietnam Da Nang, Viet Nam.)

  • Doan Hong Le

    (Research Institute for Socio-Economic, Duy Tan University, Vietnam.)

  • Dong Luu Nghiem

    (Director of Chau Thanh Electricity Company, Viet Nam)

  • Doan Quynh Giang

    (VATUCO 309 JSC, Da Nang, Viet Nam)

Abstract

Saving electricity is a matter of concern now and in the future when electricity consumption tends to increase, greatly affecting national energy security. Synthesizing research and theories related to the topic, the author's team has conducted a survey of 305 households in Chau Thanh district, Kien Giang province, Vietnam to assess the influencing factors and the extent to which they are affected. The influence of factors on the intention to save electricity. The results of the regression analysis show that the factors in the research model explain 59.4% of the change in the intention to save electricity of households in the study area. The study also shows the level of impact of factors on the intention to save electricity of households in order of decreasing impact level. Based on the research results, the authors will make some feasible and reasonable recommendations for local and national electricity saving policies, as a basis for different types of electricity consumption and other similar service for reference. Survey data were analyzed using SPSS version 20.0, including descriptive and inferential statistics. Research results show that most of the variables have a positive correlation with the intention to save electricity of people in the area.

Suggested Citation

  • Nguyen Truong Son & Doan Hong Le & Dong Luu Nghiem & Doan Quynh Giang, 2022. "Factors Affecting Household s Intention to Save Power: The Case of Chau Thanh District Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 299-308, March.
  • Handle: RePEc:eco:journ2:2022-02-33
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/12927/6685
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/12927
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barr, Stewart & Gilg, Andrew W & Ford, Nicholas, 2005. "The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours," Energy Policy, Elsevier, vol. 33(11), pages 1425-1444, July.
    2. van Houwelingen, Jeannet H & van Raaij, W Fred, 1989. "The Effect of Goal-Setting and Daily Electronic Feedback on In-home Energy Use," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 98-105, June.
    3. 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.
    4. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    5. Leighty, Wayne & Meier, Alan, 2011. "Accelerated electricity conservation in Juneau, Alaska: A study of household activities that reduced demand 25%," Energy Policy, Elsevier, vol. 39(5), pages 2299-2309, May.
    6. Gyamfi, Samuel & Krumdieck, Susan, 2011. "Price, environment and security: Exploring multi-modal motivation in voluntary residential peak demand response," Energy Policy, Elsevier, vol. 39(5), pages 2993-3004, May.
    7. McCalley, L.T., 2006. "From motivation and cognition theories to everyday applications and back again: the case of product-integrated information and feedback," Energy Policy, Elsevier, vol. 34(2), pages 129-137, January.
    8. Xianbing Liu & Can Wang & Tomohiro Shishime & Tetsuro Fujitsuka, 2012. "Sustainable consumption: Green purchasing behaviours of urban residents in China," Sustainable Development, John Wiley & Sons, Ltd., vol. 20(4), pages 293-308, July.
    9. 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.
    10. Katzev, Richard D. & Johnson, Theodore R., 1983. "A social-psychological analysis of residential electricity consumption: the impact of minimal justification techniques," Journal of Economic Psychology, Elsevier, vol. 3(3-4), pages 267-284, September.
    11. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Tuan Khanh Vuong, 2024. "Factors Affecting Households’ Electricity-Saving Behaviour: A Perspective on Sustainable Development," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 440-449, July.

    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.
    1. 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.
    2. 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.
    3. Boudet, Hilary S. & Flora, June A. & Armel, K. Carrie, 2016. "Clustering household energy-saving behaviours by behavioural attribute," Energy Policy, Elsevier, vol. 92(C), pages 444-454.
    4. 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.
    5. Wang, Jianming & Li, Yongqiang & He, Zhengxia & Gao, Jian & Wang, Jianguo, 2022. "Scale framing, benefit framing and their interaction effects on energy-saving behaviors: Evidence from urban residents of China," Energy Policy, Elsevier, vol. 166(C).
    6. Thøgersen, John & Grønhøj, Alice, 2010. "Electricity saving in households--A social cognitive approach," Energy Policy, Elsevier, vol. 38(12), pages 7732-7743, December.
    7. Fettermann, Diego Castro & Cavalcante, Caroline Gobbo Sá & Ayala, Néstor Fabián & Avalone, Marianne Costa, 2020. "Configuration of a smart meter for Brazilian customers," Energy Policy, Elsevier, vol. 139(C).
    8. Innocent, Morgane & Francois-Lecompte, Agnes & Roudaut, Nolwenn, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    9. 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, vol. 10(5), pages 1-22, May.
    10. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    11. Lanlan Li & Huayang Ming & Ranran Yang & Xuan Luo, 2020. "The Impact of Policy Factors and Users’ Awareness on Electricity-Saving Behaviors: From the Perspective of Habits and Investment," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    12. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
    13. Hassan Harajli & Ali Chalak, 2019. "Willingness to Pay for Energy Efficient Appliances: The Case of Lebanese Consumers," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    14. Véronique Vasseur & Anne-Francoise Marique & Vladimir Udalov, 2019. "A Conceptual Framework to Understand Households’ Energy Consumption," Energies, MDPI, vol. 12(22), pages 1-22, November.
    15. 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.
    16. Peter Morris & Laurie Buys & Desley Vine, 2014. "Moving from Outsider to Insider: Peer Status and Partnerships between Electricity Utilities and Residential Consumers," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
    17. 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.
    18. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    19. Xuan Liu & Qiancheng Wang & Hsi-Hsien Wei & Hung-Lin Chi & Yaotian Ma & Izzy Yi Jian, 2020. "Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    20. Satre-Meloy, Aven, 2019. "Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models," Energy, Elsevier, vol. 174(C), pages 148-168.

    More about this item

    Keywords

    intention to save electricity; Chau Thanh district; household;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    Statistics

    Access and download statistics

    Corrections

    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:eco:journ2:2022-02-33. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.