IDEAS home Printed from https://ideas.repec.org/a/ibn/eerjnl/v4y2014i1p1.html
   My bibliography  Save this article

Influencing Carbon Behaviours: What Psychological and Demographic Factors Contribute to Individual Differences in Home Energy Use Reduction and Transportation Mode Decisions?

Author

Listed:
  • Clare Hall
  • Fraser Allan

Abstract

As pressure mounts on countries to reduce carbon emissions, there is increasing interest in understanding what drives “carbon behaviours†, in order to inform behavioural change policies. This study examined the impact of psychological and demographic variables, on “carbon behaviours†. Secondary data analysis was carried out to investigate the antecedents of residential energy use reduction behaviours and choice of transportation mode for commuting and grocery shopping. Models explained 18.2% and 25.2% of variance in energy use and transport behaviours respectively. Being concerned about climate change and having an environmental identity increased household energy reduction behaviour but did not significantly affect travel mode choices. The antecedents of travel mode decisions were attitudes towards the travel mode itself, and demographic and structural variables such as income and distance travelled. Findings suggest that using “green†messaging will help encourage behavioural change in energy use, but contribute little to encouraging change in travel mode decisions.

Suggested Citation

  • Clare Hall & Fraser Allan, 2014. "Influencing Carbon Behaviours: What Psychological and Demographic Factors Contribute to Individual Differences in Home Energy Use Reduction and Transportation Mode Decisions?," Energy and Environment Research, Canadian Center of Science and Education, vol. 4(1), pages 1-1, June.
    • Handle: RePEc:ibn:eerjnl:v:4:y:2014:i:1:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/eer/article/download/32497/19207
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/eer/article/view/32497
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    3. Fujii, Satoshi & Gärling, Tommy, 2003. "Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 389-402, May.
    Full references (including those not matched with items on IDEAS)

    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. Mikkel Thorhauge & Elisabetta Cherchi & Joan L. Walker & Jeppe Rich, 2019. "The role of intention as mediator between latent effects and behavior: application of a hybrid choice model to study departure time choices," Transportation, Springer, vol. 46(4), pages 1421-1445, August.
    2. Catherine Viot & Caroline Bayart & Agnes Lancini, 2017. "The Consumer Intention to Adopt Smart Connected-Products: Does the Category Matter?," Post-Print hal-01991186, HAL.
    3. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    4. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    5. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    6. Liao, Ziqi & Shi, Xinping, 2017. "Web functionality, web content, information security, and online tourism service continuance," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 258-263.
    7. Maria Rodrigues & João F. Proença & Rita Macedo, 2023. "Determinants of the Purchase of Secondhand Products: An Approach by the Theory of Planned Behaviour," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    8. Robert Konopaske & Chet Robie & John M. Ivancevich, 2009. "Managerial Willingness to Assume Traveling, Short-term and Long-term Global Assignments," Management International Review, Springer, vol. 49(3), pages 359-387, June.
    9. Hoti, Ferdiana & Perko, Tanja & Thijssen, Peter & Renn, Ortwin, 2021. "Who is willing to participate? Examining public participation intention concerning decommissioning of nuclear power plants in Belgium," Energy Policy, Elsevier, vol. 157(C).
    10. James Gavin & Madeleine Mcbrearty & William Harvey, 2013. "Involvement in Physical Activity," SAGE Open, , vol. 3(2), pages 21582440134, April.
    11. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    12. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    13. Angela Ya-Ping, 2019. "Effects of Tourists' Trust on Behaviour Intention in the Thai Tourism Market: Mediating Effects of Perceived Authenticity," GATR Journals jmmr226, Global Academy of Training and Research (GATR) Enterprise.
    14. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Chieh-Peng Lin & Yuan-Hui Tsai & Sheng-Wuu Joe & Chou-Kang Chiu, 2013. "Modeling IT product recall intention based on the theory of reasoned action and information asymmetry: a qualitative aspect," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 753-759, February.
    16. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    17. Sylvain Durocher & Anne Fortin, 2014. "New Canadian Accounting Standards for Private Enterprises and the Adoption Timing Decision," Australian Accounting Review, CPA Australia, vol. 24(3), pages 218-236, September.
    18. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    19. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    20. Robert Huber & Bernhard Hirsch, 2017. "Behavioral Effects of Sustainability‐Oriented Incentive Systems," Business Strategy and the Environment, Wiley Blackwell, vol. 26(2), pages 163-181, February.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:eerjnl:v:4:y:2014:i:1:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.