IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v255y2017i1d10.1007_s10479-016-2202-8.html
   My bibliography  Save this article

An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing

Author

Listed:
  • Guo Li

    (Beijing Institute of Technology
    Beijing Institute of Technology)

  • Wenling Liu

    (Beijing Institute of Technology
    Beijing Institute of Technology)

  • Zhaohua Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology)

  • Mengqi Liu

    (Hunan University)

Abstract

With the increase in energy consumption and carbon dioxide emissions, promoting an energy-saving lifestyle among residents has become an urgent environmental and social need. Studying factors that influence household daily energy-saving behaviors may help the government draft policies for reducing the energy consumption and promoting the sustainable development of the human economic society. In this study, we investigate the features of energy-related situational factors, individual/household energy consumption behavioral norms, and energy-saving behavioral intentions by performing a questionnaire survey in Beijing. We examine the relationships among the mentioned aspects by applying factor analysis and structural equation modeling. Results show that among the three aspects assessed, situational factors most significantly and effectively influence the residents to assume energy-saving behaviors. Energy-saving behavioral norms partly mediate the relationship between situational factors and behavioral intention. We propose practice policy implications on the basis of the results. In particular, the positive influences of situational factors should be strengthened, and relevant policy measures should be emphasized to establish a situational background beneficial for accelerating the formation or transformation of energy-saving behaviors.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-016-2202-8
    DOI: 10.1007/s10479-016-2202-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-016-2202-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-016-2202-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Huifeng Pan & Yingqi Liu & Hongwei Gao, 2015. "Impact of agricultural industrial structure adjustment on energy conservation and income growth in Western China: a statistical study," Annals of Operations Research, Springer, vol. 228(1), pages 23-33, May.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Elizabeth Shove, 2010. "Beyond the ABC: Climate Change Policy and Theories of Social Change," Environment and Planning A, , vol. 42(6), pages 1273-1285, June.
    5. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2012. "A PSO–GA optimal model to estimate primary energy demand of China," Energy Policy, Elsevier, vol. 42(C), pages 329-340.
    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. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    8. Boudet, Hilary & Ardoin, Nicole M. & Flora, June & Armel, K. Carrie & Desai, Manisha & Robinson, Thomas N., 2014. "Energy behaviours of northern California Girl Scouts and their families," Energy Policy, Elsevier, vol. 73(C), pages 439-449.
    9. 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.
    10. 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.
    11. B. De Brabander & G. Thiers, 1984. "Successful Information System Development in Relation to Situational Factors Which Affect Effective Communication Between MIS-Users and EDP-Specialists," Management Science, INFORMS, vol. 30(2), pages 137-155, February.
    12. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    13. Michael W. Browne & Robert Cudeck, 1992. "Alternative Ways of Assessing Model Fit," Sociological Methods & Research, , vol. 21(2), pages 230-258, November.
    14. 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.
    15. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    16. Liu, Wenling & Spaargaren, Gert & Heerink, Nico & Mol, Arthur P.J. & Wang, Can, 2013. "Energy consumption practices of rural households in north China: Basic characteristics and potential for low carbon development," Energy Policy, Elsevier, vol. 55(C), pages 128-138.
    17. Tonn, Bruce & Healy, K.C. & Gibson, Amy & Ashish, Ashutosh & Cody, Preston & Beres, Drew & Lulla, Sam & Mazur, Jim & Ritter, A.J., 2009. "Power from Perspective: Potential future United States energy portfolios," Energy Policy, Elsevier, vol. 37(4), pages 1432-1443, April.
    18. Gerardine DeSanctis & R. Brent Gallupe, 1987. "A Foundation for the Study of Group Decision Support Systems," Management Science, INFORMS, vol. 33(5), pages 589-609, May.
    19. Harmsen, Robert & Wesselink, Bart & Eichhammer, Wolfgang & Worrell, Ernst, 2011. "The unrecognized contribution of renewable energy to Europe's energy savings target," Energy Policy, Elsevier, vol. 39(6), pages 3425-3433, June.
    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. Jie Wu & Zhixin Chen & Xiang Ji, 2020. "Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains," Annals of Operations Research, Springer, vol. 290(1), pages 115-143, July.
    2. Jorge Antunes & Luis Alberiko Gil-Alana & Rossana Riccardi & Yong Tan & Peter Wanke, 2022. "Unveiling endogeneity and temporal dependence in energy prices and demand in Iberian countries: a stochastic hidden Markov model approach," Annals of Operations Research, Springer, vol. 313(1), pages 191-229, June.
    3. Li, Guo & Wu, Huamin & Sethi, Suresh P. & Zhang, Xiang, 2021. "Contracting green product supply chains considering marketing efforts in the circular economy era," International Journal of Production Economics, Elsevier, vol. 234(C).
    4. Salas-Zapata, Walter & Hoyos-Medina, Lorena & Mejía-Durango, Diana, 2023. "Urban residential water and electricity consumption behavior: A systematic literature review," Utilities Policy, Elsevier, vol. 83(C).
    5. 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.
    6. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    7. Guo Li & Ming K. Lim & Zhaohua Wang, 2020. "Stakeholders, green manufacturing, and practice performance: empirical evidence from Chinese fashion businesses," Annals of Operations Research, Springer, vol. 290(1), pages 961-982, July.
    8. Jiasen Sun & Guo Li, 2020. "Designing a double auction mechanism for the re-allocation of emission permits," Annals of Operations Research, Springer, vol. 291(1), pages 847-874, August.
    9. Lan Zhang & Shenghua Gao & Binggan Wei & Yonghua Li & Hairong Li & Li Wang & Bixiong Ye, 2017. "Effects of Urbanization on Rural Drinking Water Quality in Beijing, China," Sustainability, MDPI, vol. 9(4), pages 1-12, March.
    10. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    11. Zakari, Abdulrasheed & Li, Guo & Khan, Irfan & Jindal, Abhinav & Tawiah, Vincent & Alvarado, Rafael, 2022. "Are abundant energy resources and Chinese business a solution to environmental prosperity in Africa?," Energy Policy, Elsevier, vol. 163(C).
    12. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Gordon, Ross & Dibb, Sally & Magee, Christopher & Cooper, Paul & Waitt, Gordon, 2018. "Empirically testing the concept of value-in-behavior and its relevance for social marketing," Journal of Business Research, Elsevier, vol. 82(C), pages 56-67.
    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. Wei-Ta Fang & Eric Ng & Ching-Ming Wang & Ming-Lin Hsu, 2017. "Normative Beliefs, Attitudes, and Social Norms: People Reduce Waste as an Index of Social Relationships When Spending Leisure Time," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    8. 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.
    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. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    11. 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.
    12. 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.
    13. Lin, Boqiang & Lan, Tianxu, 2023. "Progress of increasing-block electricity pricing policy implementation in China's first-tier cities and the impact of resident policy perception," Energy Policy, Elsevier, vol. 177(C).
    14. 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.
    15. 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.
    16. Véronique Vasseur & Anne-Francoise Marique, 2019. "Households’ Willingness to Adopt Technological and Behavioral Energy Savings Measures: An Empirical Study in The Netherlands," Energies, MDPI, vol. 12(22), pages 1-25, November.
    17. 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.
    18. Litvine, Dorian & Gazull, Laurent & Dabat, Marie-Hélène, 2014. "Assessing the potential demand for biofuel by combining Economics and Psychology: A focus on proximity applied to Jatropha oil in Africa," Ecological Economics, Elsevier, vol. 100(C), pages 85-95.
    19. 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.
    20. Aini, M.S. & Chan, S.C. & Syuhaily, O., 2013. "Predictors of technical adoption and behavioural change to transport energy-saving measures in response to climate change," Energy Policy, Elsevier, vol. 61(C), pages 1055-1062.

    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:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-016-2202-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.