IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7693-d591568.html
   My bibliography  Save this article

Comparing Behavioral Theories to Predict Consumer Interest to Participate in Energy Sharing

Author

Listed:
  • Julia Morgan

    (Department of Engineering Management & Systems Engineering, Missouri University of Science & Technology, Rolla, MO 65409, USA)

  • Casey Canfield

    (Department of Engineering Management & Systems Engineering, Missouri University of Science & Technology, Rolla, MO 65409, USA)

Abstract

Consumer investment in distributed energy resources (DERs) is increasing the penetration of renewable energy in the grid. In some cases, DERs produce more electricity than needed by the owner and this excess electricity is sold to the utility (e.g., net metering). In contrast, energy sharing allows a facilitator, which may or may not be the utility, to redistribute excess renewable electricity to fellow community members directly. However, little is known about consumer interest in participating in this type of arrangement. This preregistered study uses structural equation modeling to compare two behavioral theories, Value-Belief-Norm and Diffusion of Innovation, to predict consumer interest in participating in energy sharing. Participants answered questions about energy sharing in the context of an energy-sharing community facilitated by the fictional company, E-topia. Survey data from 195 online participants suggest that Value-Belief-Norm is a better, although not quite acceptable, fit. This suggests that early adoption of energy sharing may be driven by appealing to core values rather than novelty-seeking. This study implies that individuals are more likely to participate in a new technology system such as energy sharing when the effects of participation align with individuals’ values.

Suggested Citation

  • Julia Morgan & Casey Canfield, 2021. "Comparing Behavioral Theories to Predict Consumer Interest to Participate in Energy Sharing," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7693-:d:591568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7693/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/7693/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuyan Sun & Zexiang Cai & Ziyi Zhang & Caishan Guo & Guolong Ma & Yongxia Han, 2020. "Coordinated Energy Scheduling of a Distributed Multi-Microgrid System Based on Multi-Agent Decisions," Energies, MDPI, vol. 13(16), pages 1-20, August.
    2. Belk, Russell, 2014. "You are what you can access: Sharing and collaborative consumption online," Journal of Business Research, Elsevier, vol. 67(8), pages 1595-1600.
    3. Mengelkamp, Esther & Gärttner, Johannes & Rock, Kerstin & Kessler, Scott & Orsini, Lawrence & Weinhardt, Christof, 2018. "Designing microgrid energy markets," Applied Energy, Elsevier, vol. 210(C), pages 870-880.
    4. Conradie, Peter D. & De Ruyck, Olivia & Saldien, Jelle & Ponnet, Koen, 2021. "Who wants to join a renewable energy community in Flanders? Applying an extended model of Theory of Planned Behaviour to understand intent to participate," Energy Policy, Elsevier, vol. 151(C).
    5. Hung-Tai Tsou & Ja-Shen Chen & Cindy Yunhsin Chou & Tzu-Wen Chen, 2019. "Sharing Economy Service Experience and Its Effects on Behavioral Intention," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
    6. James Anderson & David Gerbing, 1984. "The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 155-173, June.
    7. Lurian Pires Klein & Aleksandra Krivoglazova & Luisa Matos & Jorge Landeck & Manuel de Azevedo, 2019. "A Novel Peer-To-Peer Energy Sharing Business Model for the Portuguese Energy Market," Energies, MDPI, vol. 13(1), pages 1-20, December.
    8. Robin Smale & Sanneke Kloppenburg, 2020. "Platforms in Power: Householder Perspectives on the Social, Environmental and Economic Challenges of Energy Platforms," Sustainability, MDPI, vol. 12(2), pages 1-16, January.
    9. Fahad Assad Al. Othman & Osama Sohaib, 2016. "Enhancing Innovative Capability and Sustainability of Saudi Firms," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    10. Karolina Mucha-Kuś & Maciej Sołtysik & Krzysztof Zamasz & Katarzyna Szczepańska-Woszczyna, 2021. "Coopetitive Nature of Energy Communities—The Energy Transition Context," Energies, MDPI, vol. 14(4), pages 1-13, February.
    11. Johan Jansson, 2011. "Consumer eco‐innovation adoption: assessing attitudinal factors and perceived product characteristics," Business Strategy and the Environment, Wiley Blackwell, vol. 20(3), pages 192-210, March.
    12. Oberski, Daniel, 2014. "lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i01).
    13. Ezlika M. Ghazali & Bang Nguyen & Dilip S. Mutum & Su-Fei Yap, 2019. "Pro-Environmental Behaviours and Value-Belief-Norm Theory: Assessing Unobserved Heterogeneity of Two Ethnic Groups," Sustainability, MDPI, vol. 11(12), pages 1-28, June.
    14. Alex Bunodiere & Han Soo Lee, 2020. "Renewable Energy Curtailment: Prediction Using a Logic-Based Forecasting Method and Mitigation Measures in Kyushu, Japan," Energies, MDPI, vol. 13(18), pages 1-26, September.
    15. Kai Zhang & Hongwei Guo & Guangzheng Yao & Chenggang Li & Yujie Zhang & Wuhong Wang, 2018. "Modeling Acceptance of Electric Vehicle Sharing Based on Theory of Planned Behavior," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    16. Octav-Ionut Macovei, 2015. "Applying the Theory of Planned Behavior in Predicting Proenvironmental Behaviour: The Case of Energy Conservation," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(4), pages 15-32, August.
    17. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    18. Anne Boomsma, 1985. "Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 229-242, June.
    19. Klas Andersson & Sverker C Jagers & Annika Lindskog & Johan Martinsson, 2013. "Learning for the Future? Effects of Education for Sustainable Development (ESD) on Teacher Education Students," Sustainability, MDPI, vol. 5(12), pages 1-18, December.
    20. Carolin Monsberger & Bernadette Fina & Hans Auer, 2021. "Profitability of Energy Supply Contracting and Energy Sharing Concepts in a Neighborhood Energy Community: Business Cases for Austria," Energies, MDPI, vol. 14(4), pages 1-27, February.
    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. Yuan, Ke-Hai & Chan, Wai, 2008. "Structural equation modeling with near singular covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4842-4858, June.
    2. Pezzuti, Lina & Tommasi, Marco & Saggino, Aristide & Dawe, James & Lauriola, Marco, 2020. "Gender differences and measurement bias in the assessment of adult intelligence: Evidence from the Italian WAIS-IV and WAIS-R standardizations," Intelligence, Elsevier, vol. 79(C).
    3. Reynolds, J.P. & Pilling, M. & Marteau, T.M., 2018. "Communicating quantitative evidence of policy effectiveness and support for the policy: Three experimental studies," Social Science & Medicine, Elsevier, vol. 218(C), pages 1-12.
    4. Ai Ye & Kathleen M. Gates & Teague Rhine Henry & Lan Luo, 2021. "Path and Directionality Discovery in Individual Dynamic Models: A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 404-441, June.
    5. Frederik Plewnia, 2019. "The Energy System and the Sharing Economy: Interfaces and Overlaps and What to Learn from Them," Energies, MDPI, vol. 12(3), pages 1-17, January.
    6. Ana Isabel Maldonado & Carol B. Cunradi & Anna María Nápoles, 2020. "Racial/Ethnic Discrimination and Intimate Partner Violence Perpetration in Latino Men: The Mediating Effects of Mental Health," IJERPH, MDPI, vol. 17(21), pages 1-17, November.
    7. Chen, Ching-Fu & Eccarius, Timo & Su, Pin-Chi, 2021. "The role of environmental concern in forming intentions for switching to electric scooters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 129-144.
    8. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    9. Thomas Niemand & Robert Mai, 2018. "Flexible cutoff values for fit indices in the evaluation of structural equation models," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1148-1172, November.
    10. Alexander Theisen & Lynne Kiesling & Michael Munger, 2022. "From Airbnb to solar: electricity market platforms as local sharing economies," Public Choice, Springer, vol. 193(3), pages 141-162, December.
    11. Johannes Bodo Heekerens & Kathrin Heinitz, 2019. "Looking Forward: The Effect of the Best-Possible-Self Intervention on Thriving Through Relative Intrinsic Goal Pursuits," Journal of Happiness Studies, Springer, vol. 20(5), pages 1379-1395, June.
    12. Hayes, Timothy & McArdle, John J., 2017. "Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 35-52.
    13. Buehn, Andreas & Dell'Anno, Roberto & Schneider, Friedrich, 2012. "Fiscal illusion and the shadow economy: Two sides of the same coin?," MPRA Paper 42531, University Library of Munich, Germany.
    14. Sheppard, Leah D. & O'Reilly, Jane & van Dijke, Marius & Restubog, Simon Lloyd D. & Aquino, Karl, 2020. "The stress-relieving benefits of positively experienced social sexual behavior in the workplace," Organizational Behavior and Human Decision Processes, Elsevier, vol. 156(C), pages 38-52.
    15. Salla Annala & Lurian Klein & Luisa Matos & Sirpa Repo & Olli Kilkki & Arun Narayanan & Samuli Honkapuro, 2021. "Framework to Facilitate Electricity and Flexibility Trading within, to, and from Local Markets," Energies, MDPI, vol. 14(11), pages 1-20, May.
    16. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    17. Meyers, Maria Christina & van Woerkom, Marianne & Bauwens, Robin, 2023. "Stronger together: A multilevel study of collective strengths use and team performance," Journal of Business Research, Elsevier, vol. 159(C).
    18. Benjamin Motte-Baumvol & Olivier Bonin, 2018. "The spatial dimensions of immobility in France," Transportation, Springer, vol. 45(5), pages 1231-1247, September.
    19. Diana Puspita Sari & Nur Aini Masruroh & Anna Maria Sri Asih, 2021. "Consumer Intention to Participate in E-Waste Collection Programs: A Study of Smartphone Waste in Indonesia," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    20. Wan Nur Hafizah Wan Hussain & Lilia Halim & Mee Yeang Chan & Norshariani Abd Rahman, 2021. "Predicting Energy-Saving Behaviour Based on Environmental Values: An Analysis of School Children’s Perspectives," Sustainability, MDPI, vol. 13(14), pages 1-14, July.

    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:gam:jsusta:v:13:y:2021:i:14:p:7693-:d:591568. 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.

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