IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2022-05-34.html
   My bibliography  Save this article

Applying the Theory of Planned Behavior to Analyze Household Energy-Saving Behavior

Author

Listed:
  • Quoc Nghi Nguyen

    (School of Economics, Can Tho University, Can Tho, Vietnam,)

  • Thi Hong Loc Hoang

    (School of Economics, Can Tho University, Can Tho, Vietnam,)

  • Van Nam Mai

    (School of Graduate, Can Tho University, Can Tho, Vietnam.)

Abstract

Energy consumption in residential areas is increasing which leads to greenhouse gas emissions and environmental pollution. Household energy-saving behavioral intentions are diverse and influenced by many different factors. This study approaches the theory of planned behavior (TPB) with an integrated perspective (economic-oriented, technology-oriented, and behavior-oriented perspective) to demonstrate affecting factors to the energy-saving intention of households in Vietnam. Applying the structural equation modeling (SEM), the study has pointed out the above affecting factors include subjective norms, perceived behavioral control, perceived benefits, attitude, product quality, and energy policies. In which, the perceived benefits factor has the most impact on the energy-saving intention of households.

Suggested Citation

  • Quoc Nghi Nguyen & Thi Hong Loc Hoang & Van Nam Mai, 2022. "Applying the Theory of Planned Behavior to Analyze Household Energy-Saving Behavior," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 287-293, September.
    • Handle: RePEc:eco:journ2:2022-05-34
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/13396/6927
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/13396
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Sembada, Agung Y. & Koay, Kian Yeik, 2021. "How perceived behavioral control affects trust to purchase in social media stores," Journal of Business Research, Elsevier, vol. 130(C), pages 574-582.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    6. 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.
    7. Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng & Wu, Junlong, 2009. "Research on the energy-saving effect of energy policies in China: 1982-2006," Energy Policy, Elsevier, vol. 37(7), pages 2475-2480, July.
    8. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    9. Kenichi Mizobuchi & Kenji Takeuchi, 2012. "Using Economic Incentives to Reduce Electricity Consumption: A field Experiment in Matsuyama, Japan," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 318-332.
    10. Z. H. Ding & Y. Q. Li & C. Zhao & Y. Liu & R. Li, 2019. "Factors affecting heating energy-saving behavior of residents in hot summer and cold winter regions," 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 193-206, January.
    11. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    12. 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.
    13. Li Hua & Shanyong Wang, 2019. "Antecedents of Consumers’ Intention to Purchase Energy-Efficient Appliances: An Empirical Study Based on the Technology Acceptance Model and Theory of Planned Behavior," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    14. 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.
    15. Peterson, Robert A, 1994. "A Meta-analysis of Cronbach's Coefficient Alpha," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 381-391, September.
    16. Norifumi Tsujikawa & Shoji Tsuchida & Takamasa Shiotani, 2016. "Changes in the Factors Influencing Public Acceptance of Nuclear Power Generation in Japan Since the 2011 Fukushima Daiichi Nuclear Disaster," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 98-113, January.
    17. Iwan Sukarno & Hiroshi Matsumoto & Lusi Susanti & Ryushi Kimura, 2015. "Urban Energy Consumption in a City of Indonesia: General Overview," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 360-373.
    18. Ye, Sheng & Soutar, Geoffrey N. & Sneddon, Joanne N. & Lee, Julie A., 2017. "Personal values and the theory of planned behaviour: A study of values and holiday trade-offs in young adults," Tourism Management, Elsevier, vol. 62(C), pages 107-109.
    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. Le Thi Dieu Hien & Khuu Ngoc Huyen & Thi Hong Loc Hoang, 2023. "Factors Affecting Energy-Saving Intentions among Youth in Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 603-609, November.
    2. Bao Ngoc Le & Nguyet Nguyen, 2024. "The Impact of Perceived Value on Consumers’ Positive Word-of-mouth Intention Toward Energy-efficient Appliances," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 383-393, March.
    3. Lia Marchi & Jacopo Gaspari, 2023. "Energy Conservation at Home: A Critical Review on the Role of End-User Behavior," Energies, MDPI, vol. 16(22), pages 1-22, November.

    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. Le Thi Dieu Hien & Khuu Ngoc Huyen & Thi Hong Loc Hoang, 2023. "Factors Affecting Energy-Saving Intentions among Youth in Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 603-609, November.
    2. 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.
    3. Kabeya Clement Mulamba, 2020. "Relationship between education and households? electricity-saving behaviour in South Africa: A multilevel logistic analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 51-74.
    4. 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, vol. 12(21), pages 1-24, November.
    5. 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.
    6. 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.
    7. Muhammad Yaseen Bhutto & Xiaohui Liu & Yasir Ali Soomro & Myriam Ertz & Yasser Baeshen, 2020. "Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(1), pages 1-25, December.
    8. Shucai Bai & Fangyi Li & Wu Xie, 2022. "Green but Unpopular? Analysis on Purchase Intention of Heat Pump Water Heaters in China," Energies, MDPI, vol. 15(7), pages 1-19, March.
    9. Gao, Lan & Wang, Shanyong & Li, Jun & Li, Haidong, 2017. "Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 107-113.
    10. Muhammad Rizwan Ali & Muhammad Shafiq & Murad Andejany, 2021. "Determinants of Consumers’ Intentions towards the Purchase of Energy Efficient Appliances in Pakistan: An Extended Model of the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    11. Muhammad Yaseen Bhutto & Yasir Ali Soomro & Hailan Yang, 2022. "Extending the Theory of Planned Behavior: Predicting Young Consumer Purchase Behavior of Energy-Efficient Appliances (Evidence From Developing Economy)," SAGE Open, , vol. 12(1), pages 21582440221, February.
    12. 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.
    13. Imran Hossain & Maria Fekete-Farkas & Md. Nekmahmud, 2022. "Purchase Behavior of Energy-Efficient Appliances Contribute to Sustainable Energy Consumption in Developing Country: Moral Norms Extension of the Theory of Planned Behavior," Energies, MDPI, vol. 15(13), pages 1-20, June.
    14. 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.
    15. Waris, Idrees & Hameed, Irfan, 2019. "Using Extended Model of Theory of Planned Behavior to Predict Purchase Intention of Energy Efficient Home Appliances in Pakistan," MPRA Paper 109612, University Library of Munich, Germany.
    16. Ting Yue & Ruyin Long & Junli Liu & Haiwen Liu & Hong Chen, 2019. "Empirical Study on Households’ Energy-Conservation Behavior of Jiangsu Province in China: The Role of Policies and Behavior Results," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
    17. 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.
    18. Ebru Ergöz Karahan & Özgür Göçer & Kenan Göçer & Didem Boyacıoğlu, 2021. "An Investigation of Occupant Energy-Saving Behavior in Vernacular Houses of Behramkale (Assos)," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    19. 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).
    20. 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.

    More about this item

    Keywords

    Theory of planned behavior; Behavioral intention; Energy saving; Household;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • M59 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Other

    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:journ2:2022-05-34. 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.