IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v110y2022ics014098832200175x.html
   My bibliography  Save this article

Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?

Author

Listed:
  • Lehmann, Nico
  • Sloot, Daniel
  • Ardone, Armin
  • Fichtner, Wolf

Abstract

Reflecting a broader trend towards regional products in Germany, the recently established “System for Guarantees of Regional Origin” allows operators of subsidized renewable energy plants to market their generation as regional electricity. However, it remains unclear whether and why consumers are willing to pay a premium for regional electricity generation. While a few studies have examined the willingness to pay (WTP) of households for regional electricity generation, little is known about the underlying factors driving WTP. We fill this gap with a representative survey of 838 German households that includes both a choice experiment and questions capturing individual motivations. Data is used to estimate a comprehensive Hybrid Choice Model (HCM) that allows to determine respondents' WTP, explain their electricity tariff choices in the past, and integrate underlying individual motivations. Our model results show that, on average, German households are willing to pay a small premium of less than 2% for regional electricity generation. However, results also show that WTP differs between respondents. More specifically, we find that respondents with stronger regional product beliefs and green values have a higher WTP. Practitioners, such as energy suppliers, could use this information to explicitly address subgroups of consumers in order to more effectively market regional electricity. However, a substantial part of preference heterogeneity remains unexplained, leading to the conclusion that preferences for regional electricity generation are not solely driven by the aforementioned motivations. Future research could disentangle the factors driving WTP in more detail by incorporating more complex behavioral theories into HCMs.

Suggested Citation

  • Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
  • Handle: RePEc:eee:eneeco:v:110:y:2022:i:c:s014098832200175x
    DOI: 10.1016/j.eneco.2022.106003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832200175X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106003?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. Ivan Diaz‐Rainey & John K. Ashton, 2011. "Profiling potential green electricity tariff adopters: green consumerism as an environmental policy tool?," Business Strategy and the Environment, Wiley Blackwell, vol. 20(7), pages 456-470, November.
    2. Mengelkamp, Esther & Schönland, Thomas & Huber, Julian & Weinhardt, Christof, 2019. "The value of local electricity - A choice experiment among German residential customers," Energy Policy, Elsevier, vol. 130(C), pages 294-303.
    3. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
    4. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    5. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    6. Vecchiato, Daniel & Tempesta, Tiziano, 2015. "Public preferences for electricity contracts including renewable energy: A marketing analysis with choice experiments," Energy, Elsevier, vol. 88(C), pages 168-179.
    7. Soto, Jose J. & Márquez, Luis & Macea, Luis F., 2018. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 65-77.
    8. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    9. Carvalho, António, 2017. "Drivers of reported electricity service satisfaction in transition economies," Energy Policy, Elsevier, vol. 107(C), pages 151-157.
    10. Fosgerau, Mogens & Mabit, Stefan L., 2013. "Easy and flexible mixture distributions," Economics Letters, Elsevier, vol. 120(2), pages 206-210.
    11. Jelke Bethlehem, 2010. "Selection Bias in Web Surveys," International Statistical Review, International Statistical Institute, vol. 78(2), pages 161-188, August.
    12. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    13. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? – Understanding German consumers’ willingness to pay for green electricity tariff attributes," Department of Agricultural and Rural Development (DARE) Discussion Papers 260771, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    14. Gracia, Azucena & Barreiro-Hurlé, Jesús & Pérez y Pérez, Luis, 2012. "Can renewable energy be financed with higher electricity prices? Evidence from a Spanish region," Energy Policy, Elsevier, vol. 50(C), pages 784-794.
    15. Anna Kowalska-Pyzalska, 2019. "Do Consumers Want to Pay for Green Electricity? A Case Study from Poland," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    16. Maya Abou-Zeid & Moshe Ben-Akiva, 2014. "Hybrid choice models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 17, pages 383-412, Edward Elgar Publishing.
    17. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    18. Fait, Larissa & Wetzel, Heike & Groh, Elke D., 2020. "Choice Preferences for Regional and Green Electricity: Influence of Regional and Environmental Identity," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224574, Verein für Socialpolitik / German Economic Association.
    19. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    20. Akshay Vij & Joan L. Walker, 2014. "Hybrid choice models: the identification problem," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 22, pages 519-564, Edward Elgar Publishing.
    21. Hélène Yildiz & Sandrine Heitz-Spahn & Lydie Belaud, 2018. "Do ethnocentric consumers really buy local products?," Post-Print hal-02505070, HAL.
    22. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    23. Kalkbrenner, Bernhard J. & Yonezawa, Koichi & Roosen, Jutta, 2017. "Consumer preferences for electricity tariffs: Does proximity matter?," Energy Policy, Elsevier, vol. 107(C), pages 413-424.
    24. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    25. MacPherson, Ronnie & Lange, Ian, 2013. "Determinants of green electricity tariff uptake in the UK," Energy Policy, Elsevier, vol. 62(C), pages 920-933.
    26. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2014. "Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 71-85.
    27. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    28. Jeff Brazell & Christopher Diener & Ekaterina Karniouchina & William Moore & Válerie Séverin & Pierre-Francois Uldry, 2006. "The no-choice option and dual response choice designs," Marketing Letters, Springer, vol. 17(4), pages 255-268, December.
    29. Layer, Patrick & Feurer, Sven & Jochem, Patrick, 2017. "Perceived price complexity of dynamic energy tariffs: An investigation of antecedents and consequences," Energy Policy, Elsevier, vol. 106(C), pages 244-254.
    30. Birgitta Gatersleben & Niamh Murtagh & Wokje Abrahamse, 2014. "Values, identity and pro-environmental behaviour," Contemporary Social Science, Taylor & Francis Journals, vol. 9(4), pages 374-392, December.
    31. Carolina Afonso & Diana Gavilan & Jesús García-Madariaga & Helena Martins Gonçalves, 2018. "Green Consumer Segmentation: Managerial and Environmental Implications from the Perspective of Business Strategies and Practices," Innovation, Technology, and Knowledge Management, in: Antonio Leal-Millan & Marta Peris-Ortiz & Antonio L. Leal-Rodríguez (ed.), Sustainability in Innovation and Entrepreneurship, chapter 0, pages 137-151, Springer.
    32. Loureiro, Maria L. & Hine, Susan, 2002. "Discovering Niche Markets: A Comparison of Consumer Willingness to Pay for Local (Colorado Grown), Organic, and GMO-Free Products," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(3), pages 477-487, December.
    33. Gossling, Stefan & Kunkel, Timo & Schumacher, Kim & Heck, Nadine & Birkemeyer, Johannes & Froese, Jens & Naber, Nils & Schliermann, Elke, 2005. "A target group-specific approach to "green" power retailing: students as consumers of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(1), pages 69-83, February.
    34. Tabi, Andrea & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2014. "What makes people seal the green power deal? — Customer segmentation based on choice experiment in Germany," Ecological Economics, Elsevier, vol. 107(C), pages 206-215.
    35. 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.
    36. Mariel, Petr & Meyerhoff, Jürgen & Hess, Stephane, 2015. "Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 647-657.
    37. Czajkowski, Mikołaj & Vossler, Christian A. & Budziński, Wiktor & Wiśniewska, Aleksandra & Zawojska, Ewa, 2017. "Addressing empirical challenges related to the incentive compatibility of stated preferences methods," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 47-63.
    38. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    39. Bengart, Paul & Vogt, Bodo, 2021. "Fuel mix disclosure in Germany—The effect of more transparent information on consumer preferences for renewable energy," Energy Policy, Elsevier, vol. 150(C).
    40. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    41. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    42. 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.
    43. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    44. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    45. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    46. Yildiz, Hélène & Heitz-Spahn, Sandrine & Belaud, Lydie, 2018. "Do ethnocentric consumers really buy local products?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 139-148.
    47. Ebru Dogan & Jan Bolderdijk & Linda Steg, 2014. "Making Small Numbers Count: Environmental and Financial Feedback in Promoting Eco-driving Behaviours," Journal of Consumer Policy, Springer, vol. 37(3), pages 413-422, September.
    48. Faccioli, Michela & Czajkowski, Mikołaj & Glenk, Klaus & Martin-Ortega, Julia, 2020. "Environmental attitudes and place identity as determinants of preferences for ecosystem services," Ecological Economics, Elsevier, vol. 174(C).
    49. Irie, Noriko & Kawahara, Naoko, 2022. "Consumer preferences for local renewable electricity production in Japan: A choice experiment," Renewable Energy, Elsevier, vol. 182(C), pages 1171-1181.
    50. Akcura, Elcin, 2015. "Mandatory versus voluntary payment for green electricity," Ecological Economics, Elsevier, vol. 116(C), pages 84-94.
    51. Crabbe, M. & Vandebroek, M., 2012. "Improving the efficiency of individualized designs for the mixed logit choice model by including covariates," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2059-2072.
    52. Yang, Yingkui & Solgaard, Hans Stubbe & Haider, Wolfgang, 2016. "Wind, hydro or mixed renewable energy source: Preference for electricity products when the share of renewable energy increases," Energy Policy, Elsevier, vol. 97(C), pages 521-531.
    53. Ritsuko Ozaki, 2011. "Adopting sustainable innovation: what makes consumers sign up to green electricity?," Business Strategy and the Environment, Wiley Blackwell, vol. 20(1), pages 1-17, January.
    54. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.
    55. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    56. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
    57. Christian Schlereth & Bernd Skiera, 2017. "Two New Features in Discrete Choice Experiments to Improve Willingness-to-Pay Estimation That Result in SDR and SADR: Separated (Adaptive) Dual Response," Management Science, INFORMS, vol. 63(3), pages 829-842, March.
    58. Xiaoping He & David Reiner, 2017. "Why Consumers Switch Energy Suppliers: The Role of Individual Attitudes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    59. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    60. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    61. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    62. Chandra Kiran B. Krishnamurthy & Bengt Kriström, 2016. "Determinants of the Price-Premium for Green Energy: Evidence from an OECD Cross-Section," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 173-204, June.
    63. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    64. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
    65. Sütterlin, Bernadette & Siegrist, Michael, 2017. "Public acceptance of renewable energy technologies from an abstract versus concrete perspective and the positive imagery of solar power," Energy Policy, Elsevier, vol. 106(C), pages 356-366.
    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. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    2. Vennemo, Haakon & Rosnes, Orvika & Skulstad, Andreas, 2022. "The cost to households of a large electricity outage," Energy Economics, Elsevier, vol. 116(C).
    3. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).

    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. Lehmann, Nico & Sloot, Daniel & Schüle, Christopher & Ardone, Armin & Fichtner, Wolf, 2023. "The motivational drivers behind consumer preferences for regional electricity – Results of a choice experiment in Southern Germany," Energy Economics, Elsevier, vol. 120(C).
    2. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    3. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    4. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).
    5. Herbes, Carsten & Rilling, Benedikt & MacDonald, Scott & Boutin, Nathalie & Bigerna, Simona, 2020. "Are voluntary markets effective in replacing state-led support for the expansion of renewables? – A comparative analysis of voluntary green electricity markets in the UK, Germany, France and Italy," Energy Policy, Elsevier, vol. 141(C).
    6. Groh, Elke D., 2022. "Exposure to wind turbines, regional identity and the willingness to pay for regionally produced electricity," Resource and Energy Economics, Elsevier, vol. 70(C).
    7. Anna Kowalska-Pyzalska, 2019. "Do Consumers Want to Pay for Green Electricity? A Case Study from Poland," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    8. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    9. Hackbarth, André & Löbbe, Sabine, 2020. "Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading," Energy Policy, Elsevier, vol. 138(C).
    10. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    11. Motz, Alessandra, 2021. "Consumer acceptance of the energy transition in Switzerland: The role of attitudes explained through a hybrid discrete choice model," Energy Policy, Elsevier, vol. 151(C).
    12. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    13. Hackbarth, André, 2018. "Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading," Reutlingen Working Papers on Marketing & Management 2019-2, Reutlingen University, ESB Business School.
    14. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    15. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    16. Herbes, Carsten & Friege, Christian & Baldo, Davide & Mueller, Kai-Markus, 2015. "Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity," Energy Policy, Elsevier, vol. 87(C), pages 562-572.
    17. Anabela Botelho & Lina Lourenço-Gomes & Lígia M. Costa Pinto & Sara Sousa & Marieta Valente, 2018. "Discrete-choice experiments valuing local environmental impacts of renewables: two approaches to a case study in Portugal," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 145-162, December.
    18. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? – Understanding German consumers’ willingness to pay for green electricity tariff attributes," Department of Agricultural and Rural Development (DARE) Discussion Papers 260771, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    19. Cardella, Eric & Ewing, Brad & Williams, Ryan Blake, 2018. "Green is Good – The Impact of Information Nudges on the Adoption of Voluntary Green Power Plans," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266583, Southern Agricultural Economics Association.
    20. 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.

    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:110:y:2022:i:c:s014098832200175x. 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.