IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v115y2022ics014098832200473x.html
   My bibliography  Save this article

Public support for community microgrid services

Author

Listed:
  • Kaczmarski, Jesse I.

Abstract

Utility-owned community microgrids can provide communities with decentralized grid access to distributed energy resources and improve reliability and resiliency. However, the feasibility of installing microgrids requires rigorous cost-benefit analysis, which should incorporate social values. Currently, the gap in our understanding of ratepayers' preferences for community microgrid services leaves stakeholders guessing. Using a survey-based contingent valuation method, with a referendum-style elicitation format, this paper provides evidence of public support for community microgrid installations in Arizona, Colorado, New Mexico, and Utah (the Four Corners). The Four Corners region is unique in its potential for renewable electricity capacity as well as heterogeneous state policy objectives regarding the transition to clean energy. A split-sample survey of 4783 Four Corner's ratepayers resulted in between 40 and 45% of respondents voting to support a community microgrid installation (after controlling for hypothetical bias) with a median willingness-to-pay (WTP) of $25.44 (divided among 24 months) if the ratepayer received direct benefits, or $13.92 if they received indirect benefits. Ratepayers in Utah were willing to pay the most relative to the other states. Results highlight the impacts of ideological, institutional, and socioeconomic factors on public support and WTP.

Suggested Citation

  • Kaczmarski, Jesse I., 2022. "Public support for community microgrid services," Energy Economics, Elsevier, vol. 115(C).
  • Handle: RePEc:eee:eneeco:v:115:y:2022:i:c:s014098832200473x
    DOI: 10.1016/j.eneco.2022.106344
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832200473X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106344?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. Stamatios Ntanos & Grigorios Kyriakopoulos & Miltiadis Chalikias & Garyfallos Arabatzis & Michalis Skordoulis, 2018. "Public Perceptions and Willingness to Pay for Renewable Energy: A Case Study from Greece," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    2. Ju-Hee Kim & Kyung-Kyu Lim & Seung-Hoon Yoo, 2019. "Evaluating Residential Consumers’ Willingness to Pay to Avoid Power Outages in South Korea," Sustainability, MDPI, vol. 11(5), pages 1-12, February.
    3. Maddala, G S, 1983. "Methods of Estimation for Models of Markets with Bounded Price Variation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(2), pages 361-378, June.
    4. Carlsson, Fredrik & Martinsson, Peter, 2008. "Does it matter when a power outage occurs? -- A choice experiment study on the willingness to pay to avoid power outages," Energy Economics, Elsevier, vol. 30(3), pages 1232-1245, May.
    5. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    6. Kimberly Rollins & Diana Dumitras, 2005. "Estimation of median willingness to pay for a system of recreation areas," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 2(1), pages 73-84, June.
    7. Chanda, Anup & Maddala, G. S., 1983. "Methods of estimation for models of markets with bounded price variation under rational expectations," Economics Letters, Elsevier, vol. 13(2-3), pages 181-184.
    8. Sunhee Baik & M. Granger Morgan & Alexander L. Davis, 2018. "Providing Limited Local Electric Service During a Major Grid Outage: A First Assessment Based on Customer Willingness to Pay," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 272-282, February.
    9. Carson Richard T. & Mitchell Robert Cameron, 1995. "Sequencing and Nesting in Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 155-173, March.
    10. Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    11. Richard T. Carson & W. Michael Hanemann & Raymond J. Kopp & Jon A. Krosnick & Robert Cameron Mitchell & Stanley Presser, 1998. "Referendum Design And Contingent Valuation: The Noaa Panel'S No-Vote Recommendation," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 484-487, August.
    12. Akter, Sonia & Bennett, Jeff & Akhter, Sanzida, 2008. "Preference uncertainty in contingent valuation," Ecological Economics, Elsevier, vol. 67(3), pages 345-351, October.
    13. Ewa Zawojska & Mikołaj Czajkowski, 2017. "Re-examining empirical evidence on stated preferences: importance of incentive compatibility," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(4), pages 374-403, October.
    14. Kevin J. Boyle & Richard C. Bishop & Michael P. Welsh, 1985. "Starting Point Bias in Contingent Valuation Bidding Games," Land Economics, University of Wisconsin Press, vol. 62(2), pages 188-194.
    15. Mark A. Andor & Manuel Frondel & Stephan Sommer, 2018. "Equity and the willingness to pay for green electricity in Germany," Nature Energy, Nature, vol. 3(10), pages 876-881, October.
    16. Craig E. Landry & John A. List, 2007. "Using Ex Ante Approaches to Obtain Credible Signals for Value in Contingent Markets: Evidence from the Field," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 420-429.
    17. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    18. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    19. Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
    20. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    21. repec:feb:framed:0073 is not listed on IDEAS
    22. Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
    23. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
    24. Ajaz, Warda & Bernell, David, 2021. "Microgrids and the transition toward decentralized energy systems in the United States: A Multi-Level Perspective," Energy Policy, Elsevier, vol. 149(C).
    25. Mishra, Sakshi & Anderson, Kate & Miller, Brian & Boyer, Kyle & Warren, Adam, 2020. "Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies," Applied Energy, Elsevier, vol. 264(C).
    26. Warneryd, Martin & Håkansson, Maria & Karltorp, Kersti, 2020. "Unpacking the complexity of community microgrids: A review of institutions’ roles for development of microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    27. Li Chuan-Zhong & Mattsson Leif, 1995. "Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 256-269, March.
    28. Gui, Emi Minghui & Diesendorf, Mark & MacGill, Iain, 2017. "Distributed energy infrastructure paradigm: Community microgrids in a new institutional economics context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1355-1365.
    29. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    30. Morrissey, Karyn & Plater, Andrew & Dean, Mary, 2018. "The cost of electric power outages in the residential sector: A willingness to pay approach," Applied Energy, Elsevier, vol. 212(C), pages 141-150.
    31. Li, Hui & Jenkins-Smith, Hank C. & Silva, Carol L. & Berrens, Robert P. & Herron, Kerry G., 2009. "Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development," Ecological Economics, Elsevier, vol. 68(3), pages 731-742, January.
    32. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    33. Reichl, Johannes & Schmidthaler, Michael & Schneider, Friedrich, 2013. "The value of supply security: The costs of power outages to Austrian households, firms and the public sector," Energy Economics, Elsevier, vol. 36(C), pages 256-261.
    34. Patricia A. Champ & Nicholas E. Flores & Thomas C. Brown & PJames Chivers, 2002. "Contingent Valuation and Incentives," Land Economics, University of Wisconsin Press, vol. 78(4), pages 591-604.
    35. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
    36. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    37. Lenhart, Stephanie & Araújo, Kathleen, 2021. "Microgrid decision-making by public power utilities in the United States: A critical assessment of adoption and technological profiles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    38. Kennedy, Ryan & Mahajan, Aseem & Urpelainen, Johannes, 2019. "Quality of service predicts willingness to pay for household electricity connections in rural India," Energy Policy, Elsevier, vol. 129(C), pages 319-326.
    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. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    2. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
    3. Atozou, Baoubadi & Tamini, Lota D. & Bergeronm, Stephane & Doyon, Maurice, 2020. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
    4. Bigerna, Simona & Choudhary, Piyush & Kumar Jain, Nikunj & Micheli, Silvia & Polinori, Paolo, 2022. "Avoiding unanticipated power outages: households’ willingness to pay in India," MPRA Paper 114160, University Library of Munich, Germany.
    5. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    6. Sund, Björn, 2009. "Certainty calibration in contingent valuation - exploring the within-difference between dichotomous choice and open-ended answers as a certainty measure," Working Papers 2009:1, Örebro University, School of Business.
    7. Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    8. Hashemi, Majid, 2021. "The economic value of unsupplied electricity: Evidence from Nepal," Energy Economics, Elsevier, vol. 95(C).
    9. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    10. Hermann Donfouet & Pierre-Alexandre Mahieu & Eric Malin, 2013. "Using respondents’ uncertainty scores to mitigate hypothetical bias in community-based health insurance studies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 277-285, April.
    11. Jinkwon Lee & Uk Hwang, 2016. "Hypothetical Bias in Risk Preferences as a Driver of Hypothetical Bias in Willingness to Pay: Experimental Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 789-811, December.
    12. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    13. Voltaire, Louinord & Pirrone, Claudio & Bailly, Denis, 2013. "Dealing with preference uncertainty in contingent willingness to pay for a nature protection program: A new approach," Ecological Economics, Elsevier, vol. 88(C), pages 76-85.
    14. Jones, Benjamin A. & Ripberger, Joseph & Jenkins-Smith, Hank & Silva, Carol, 2017. "Estimating willingness to pay for greenhouse gas emission reductions provided by hydropower using the contingent valuation method," Energy Policy, Elsevier, vol. 111(C), pages 362-370.
    15. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    16. Ana Bobinac, 2019. "Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 75-82, February.
    17. Imaduddin Ahmed & Priti Parikh & Parfait Munezero & Graham Sianjase & D’Maris Coffman, 2023. "The impact of power outages on households in Zambia," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(3), pages 835-867, October.
    18. Clevo Wilson & Wasantha Athukorala & Benno Torgler & Robert Gifford & Maria A. Garcia-Valiñas & Shunsuke Managi, 2021. "Willingness to pay to ensure a continuous water supply with minimum restrictions," Empirical Economics, Springer, vol. 61(3), pages 1519-1537, September.
    19. Poe, Gregory L. & Vossler, Christian A., 2009. "Consequentiality and contingent values: an emerging paradigm," MPRA Paper 38864, University Library of Munich, Germany.
    20. Merk, Christine & Rehdanz, Katrin & Schröder, Carsten, 2019. "How consumers trade off supply security and green electricity: Evidence from Germany and Great Britain," Energy Economics, Elsevier, vol. 84(S1).

    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:eee:eneeco:v:115:y:2022:i:c:s014098832200473x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.