IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v146y2021ics1364032121004317.html
   My bibliography  Save this article

Institutions and consumer preferences for renewable energy: A meta-regression analysis

Author

Listed:
  • Chaikumbung, Mayula

Abstract

Promoting the use of sustainable energy sources is becoming a major policy strategy in several nations to mitigate climate change and improve energy security. The achievement of a policy objective needs information about consumer preferences and attitudes towards renewable energy. This research presents a synthesis of estimates of the consumers’ willingness to pay (WTP) for electricity generated from renewables. The paper applies meta-regression analysis to 509 observations of WTP from 91 renewable energy studies in 27 countries. The paper also explores the influence of institutions and other important factors on WTP values. The results suggest that institutions, with their country-specific and survey-specific factors, has a great influence on WTP. Consumers in more democratic and capitalistic countries assign higher values for renewable energy. Further, higher GDP per capita countries result in higher WTP estimates, while larger CO2 emitter countries lead to lower WTP for green electricity.

Suggested Citation

  • Chaikumbung, Mayula, 2021. "Institutions and consumer preferences for renewable energy: A meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:rensus:v:146:y:2021:i:c:s1364032121004317
    DOI: 10.1016/j.rser.2021.111143
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032121004317
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2021.111143?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. T.D. Stanley & Hristos Doucouliagos, 2010. "Picture This: A Simple Graph That Reveals Much Ado About Research," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 170-191, February.
    2. Simona Bigerna & Paolo Polinori, 2015. "Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    3. Blazejczak, Jürgen & Braun, Frauke G. & Edler, Dietmar & Schill, Wolf-Peter, 2014. "Economic effects of renewable energy expansion: A model-based analysis for Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1070-1080.
    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. Pikas, Ergo & Kurnitski, Jarek & Thalfeldt, Martin & Koskela, Lauri, 2017. "Cost-benefit analysis of nZEB energy efficiency strategies with on-site photovoltaic generation," Energy, Elsevier, vol. 128(C), pages 291-301.
    6. Gezahegn, Tafesse W. & Gebregiorgis, Gebrecherkos & Gebrehiwet, Tesfay & Tesfamariam, Kifle, 2018. "Adoption of renewable energy technologies in rural Tigray, Ethiopia: An analysis of the impact of cooperatives," Energy Policy, Elsevier, vol. 114(C), pages 108-113.
    7. Rosenberger, Randall S. & Stanley, Tom D., 2006. "Measurement, generalization, and publication: Sources of error in benefit transfers and their management," Ecological Economics, Elsevier, vol. 60(2), pages 372-378, December.
    8. Bhattacharya, Mita & Awaworyi Churchill, Sefa & Paramati, Sudharshan Reddy, 2017. "The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions," Renewable Energy, Elsevier, vol. 111(C), pages 157-167.
    9. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    10. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
    11. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2016. "The economic value of wetlands in developing countries: A meta-regression analysis," Ecological Economics, Elsevier, vol. 124(C), pages 164-174.
    12. Huh, Sung-Yoon & Lee, Jongsu & Shin, Jungwoo, 2015. "The economic value of South Korea׳s renewable energy policies (RPS, RFS, and RHO): A contingent valuation study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 64-72.
    13. Audley Genus, 2016. "Institutions, discourses, and the promotion of renewable energy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 119-124, January.
    14. Stram, Bruce N., 2016. "Key challenges to expanding renewable energy," Energy Policy, Elsevier, vol. 96(C), pages 728-734.
    15. Lifeng Lin, 2018. "Bias caused by sampling error in meta-analysis with small sample sizes," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-19, September.
    16. T. D. Stanley, 2008. "Meta‐Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, February.
    17. Vatn, Arild, 2005. "Rationality, institutions and environmental policy," Ecological Economics, Elsevier, vol. 55(2), pages 203-217, November.
    18. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2019. "Institutions, Culture, and Wetland Values," Ecological Economics, Elsevier, vol. 157(C), pages 195-204.
    19. Eggertsson,Thrainn, 1990. "Economic Behavior and Institutions," Cambridge Books, Cambridge University Press, number 9780521348911, September.
    20. F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
    21. 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.
    22. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost H. Heckemeyer & Robert J. Johnston & Patrice Laroche & Jon P. Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall S. Rosenberger & , 2013. "Meta-Analysis Of Economics Research Reporting Guidelines," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 390-394, April.
    23. 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.
    24. Yuksel, I., 2010. "As a renewable energy hydropower for sustainable development in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3213-3219, December.
    25. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801, September.
    26. Malik, Sidra Nisar & Sukhera, Osama Rafiq, 2012. "Management of natural gas resources and search for alternative renewable energy resources: A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1282-1290.
    27. 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.
    28. Arild Vatn, 2004. "Environmental Valuation and Rationality," Land Economics, University of Wisconsin Press, vol. 80(1), pages 1-18.
    29. Brian Byrnes & Clive Jones† & Sandra Goodman‡, 1999. "Contingent Valuation and Real Economic Commitments: Evidence from Electric Utility Green Pricing Programmes," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 42(2), pages 149-166.
    30. Johnston, Robert J. & Rolfe, John & Zawojska, Ewa, 2018. "Benefit Transfer of Environmental and Resource Values: Progress, Prospects and Challenges," International Review of Environmental and Resource Economics, now publishers, vol. 12(2-3), pages 177-266, November.
    31. Arild Vatn, 2005. "Institutions and the Environment," Books, Edward Elgar Publishing, number 2826.
    32. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    33. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost Heckemeyer & Robert Johnston & Patrice Laroche & Jon Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall Rosenberger & Katja Rost, 2013. "Meta-analysis of economics research reporting guidelines," Post-Print hal-02137661, HAL.
    34. 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.
    35. 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.
    36. Robert Johnston, 2007. "Choice experiments, site similarity and benefits transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(3), pages 331-351, November.
    37. Bergek, Anna & Mignon, Ingrid & Sundberg, Gunnel, 2013. "Who invests in renewable electricity production? Empirical evidence and suggestions for further research," Energy Policy, Elsevier, vol. 56(C), pages 568-581.
    38. Julien Jacqmin, 2018. "The role of market-oriented institutions in the deployment of renewable energies: evidences from Europe," Applied Economics, Taylor & Francis Journals, vol. 50(2), pages 202-215, January.
    39. Park, Eunil, 2017. "Potentiality of renewable resources: Economic feasibility perspectives in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 61-70.
    40. Moeltner, Klaus & Boyle, Kevin J. & Paterson, Robert W., 2007. "Meta-analysis and benefit transfer for resource valuation-addressing classical challenges with Bayesian modeling," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 250-269, March.
    41. Zografakis, Nikolaos & Sifaki, Elli & Pagalou, Maria & Nikitaki, Georgia & Psarakis, Vasilios & Tsagarakis, Konstantinos P., 2010. "Assessment of public acceptance and willingness to pay for renewable energy sources in Crete," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1088-1095, April.
    42. 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.
    43. Elum, Z.A. & Momodu, A.S., 2017. "Climate change mitigation and renewable energy for sustainable development in Nigeria: A discourse approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 72-80.
    44. Vatn, Arild, 2009. "An institutional analysis of methods for environmental appraisal," Ecological Economics, Elsevier, vol. 68(8-9), pages 2207-2215, 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. Zeynep Clulow & David M. Reiner, 2022. "Democracy, Economic Development and Low-Carbon Energy: When and Why Does Democratization Promote Energy Transition?," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    2. Yu, Ying & Yamaguchi, Kensuke & Thuy, Truong Dang & Kittner, Noah, 2022. "Will the public in emerging economies support renewable energy? Evidence from Ho Chi Minh City, Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    3. Shi, Y.Y. & Wei, Z.X. & Shahbaz, M., 2023. "Analyzing the co-evolutionary dynamics of consumers’ attitudes and green energy technologies based on a triple-helix model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. 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).
    5. 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).
    6. Tuomo Eskelinen & Oswald Sydd & Miika Kajanus & David Fernández Gutiérrez & Miguel Mitsou & José M. Soriano Disla & Manuel Vals Sevilla & Johan Ib Hansen, 2022. "Fortifying Social Acceptance When Designing Circular Economy Business Models on Biowaste Related Products," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    7. Chaikumbung, Mayula, 2023. "The effects of institutions and cultures on people's willingness to pay for climate change policies: A meta-regression analysis," Energy Policy, Elsevier, vol. 177(C).
    8. Duan, Mimi & Li, Lingyan & Liu, Xiaojun & Pei, Jiajia & Song, Huihui, 2023. "Turning awareness into behavior: Meta-analysis of household residential life energy transition behavior from the dual perspective of internal driving forces and external inducing forces," Energy, Elsevier, vol. 279(C).
    9. Reni Pantcheva, 2024. "Economic and Social Drivers of Renewable Energy Consumption in the European Union: An Econometric Analysis," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 62-84.
    10. Yang, Yi & Zhu, Yu & Zhao, Yiwen, 2024. "Improving farmers’ livelihoods through the eco-compensation of forest carbon sinks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    11. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).
    12. Wang, Yushi & Wu, Libo & Zhou, Yang, 2024. "Household's willingness to pay for renewable electricity: A meta-analysis," Energy Economics, Elsevier, vol. 131(C).
    13. Ahmed K. Nassar, 2022. "Identifying and Explaining Public Preferences for Renewable Energy Sources in Qatar," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    14. Uz, Dilek & Mamkhezri, Jamal, 2024. "Household willingness to pay for various attributes of residential solar panels: Evidence from a discrete choice experiment," Energy Economics, Elsevier, vol. 130(C).
    15. Alicja Małgorzata Graczyk & Marta Kusterka-Jefmańska & Bartłomiej Jefmański & Andrzej Graczyk, 2023. "Pro-Ecological Energy Attitudes towards Renewable Energy Investments before the Pandemic and European Energy Crisis: A Segmentation-Based Approach," Energies, MDPI, vol. 16(2), pages 1-29, January.

    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. Chaikumbung, Mayula, 2023. "The effects of institutions and cultures on people's willingness to pay for climate change policies: A meta-regression analysis," Energy Policy, Elsevier, vol. 177(C).
    2. Hermine Vedogbeton & Robert J. Johnston, 2020. "Commodity Consistent Meta-Analysis of Wetland Values: An Illustration for Coastal Marsh Habitat," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 835-865, April.
    3. 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.
    4. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).
    5. 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.
    6. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2019. "Institutions, Culture, and Wetland Values," Ecological Economics, Elsevier, vol. 157(C), pages 195-204.
    7. 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).
    8. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    9. Wang, Yushi & Wu, Libo & Zhou, Yang, 2024. "Household's willingness to pay for renewable electricity: A meta-analysis," Energy Economics, Elsevier, vol. 131(C).
    10. Klomp, Jeroen, 2023. "Political budget cycles in military expenditures: A meta-analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1083-1102.
    11. Fang, Xingming & Wang, Lu & Sun, Chuanwang & Zheng, Xuemei & Wei, Jing, 2021. "Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China," Energy Policy, Elsevier, vol. 148(PA).
    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. Mora Rodríguez, Jhon James & Muro, Juan, 2015. "On the size of sheepskin effects: A meta-analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-18.
    14. Petr Polák, 2019. "The Euro'S Trade Effect: A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 101-124, February.
    15. Markus Hang & Jerome Geyer‐Klingeberg & Andreas Rathgeber & Stefan Stöckl, 2018. "Economic Development Matters: A Meta‐Regression Analysis on the Relation between Environmental Management and Financial Performance," Journal of Industrial Ecology, Yale University, vol. 22(4), pages 720-744, August.
    16. 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).
    17. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    18. Hang, Markus & Geyer-Klingeberg, Jerome & Rathgeber, Andreas W. & Stöckl, Stefan, 2018. "Measurement matters—A meta-study of the determinants of corporate capital structure," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 211-225.
    19. Iamsiraroj, Sasi & Doucouliagos, Hristos, 2015. "Does growth attract FDI?," Economics Discussion Papers 2015-18, Kiel Institute for the World Economy (IfW Kiel).
    20. 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.

    More about this item

    Keywords

    Renewable energy; Willingness to pay; Economic valuation; Meta-analysis; Democracy; Economic freedom;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    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:eee:rensus:v:146:y:2021:i:c:s1364032121004317. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.