[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v48y2015icp82-105.html
   My bibliography  Save this article

Consumers’ willingness to pay for electricity after the Great East Japan Earthquake

Author

Listed:
  • Morita, Tamaki
  • Managi, Shunsuke
Abstract
The Great East Japan Earthquake of March 11, 2011 severely damaged the Fukushima Daiichi nuclear power plants, and reminded people of the potential risk of an electricity supply shortage. Consumers have started to pay attention to the source of electricity production since then. This study presents the results of both discrete choice experiments and choice probability experiments to determine citizens’ willingness to pay (WTP) for residential electricity produced by solar, wind, and nuclear power, and by natural gas to evaluate the three energy-mix scenarios presented by the government of Japan. In addition, we measure the effects of positive or negative information about nuclear energy. The results indicate that on average, Japanese consumers have a negative WTP for electricity produced by nuclear power regardless of the information they read, and that their WTP for energy-mix change is far less than the price increase already planned by electrical companies, which do not have any prospects for an actual change in their energy mix.

Suggested Citation

  • Morita, Tamaki & Managi, Shunsuke, 2015. "Consumers’ willingness to pay for electricity after the Great East Japan Earthquake," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 82-105.
    • Handle: RePEc:eee:ecanpo:v:48:y:2015:i:c:p:82-105
    DOI: 10.1016/j.eap.2015.09.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592615300825
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2015.09.004?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. Akerlof, George A & Dickens, William T, 1982. "The Economic Consequences of Cognitive Dissonance," American Economic Review, American Economic Association, vol. 72(3), pages 307-319, June.
    2. Manski, Charles F, 1999. "Analysis of Choice Expectations in Incomplete Scenarios," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 49-66, December.
    3. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    4. 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.
    5. Zhang, Lei & Wu, Yang, 2012. "Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province," Energy Policy, Elsevier, vol. 51(C), pages 514-523.
    6. Uchida, Hirotsugu & Onozaka, Yuko & Morita, Tamaki & Managi, Shunsuke, 2014. "Demand for ecolabeled seafood in the Japanese market: A conjoint analysis of the impact of information and interaction with other labels," Food Policy, Elsevier, vol. 44(C), pages 68-76.
    7. Jun, Eunju & Joon Kim, Won & Hoon Jeong, Yong & Heung Chang, Soon, 2010. "Measuring the social value of nuclear energy using contingent valuation methodology," Energy Policy, Elsevier, vol. 38(3), pages 1470-1476, March.
    8. Manski, Charles F., 1985. "Semiparametric analysis of discrete response : Asymptotic properties of the maximum score estimator," Journal of Econometrics, Elsevier, vol. 27(3), pages 313-333, March.
    9. Nomura, Noboru & Akai, Makoto, 2004. "Willingness to pay for green electricity in Japan as estimated through contingent valuation method," Applied Energy, Elsevier, vol. 78(4), pages 453-463, August.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    11. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
    12. Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, May.
    13. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    14. Frey, Bruno S & Oberholzer-Gee, Felix & Eichenberger, Reiner, 1996. "The Old Lady Visits Your Backyard: A Tale of Morals and Markets," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1297-1313, December.
    15. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    16. Yoo, Seung-Hoon & Kwak, So-Yoon, 2009. "Willingness to pay for green electricity in Korea: A contingent valuation study," Energy Policy, Elsevier, vol. 37(12), pages 5408-5416, December.
    17. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    18. Tanaka, Makoto & Ida, Takanori, 2013. "Voluntary electricity conservation of households after the Great East Japan Earthquake: A stated preference analysis," Energy Economics, Elsevier, vol. 39(C), pages 296-304.
    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. Romuald Meango & Esther Mirjam Girsberger, 2023. "Identification of Ex ante Returns Using Elicited Choice Probabilities: an Application to Preferences for Public-sector Jobs," Papers 2303.03009, arXiv.org, revised Jun 2024.
    2. Gizem Koşar & Cormac O'Dea, 2022. "Expectations Data in Structural Microeconomic Models," NBER Working Papers 30094, National Bureau of Economic Research, Inc.
    3. Shin Kinoshita, 2020. "Conjoint analysis of Japanese households’ energy-saving behavior after the earthquake: The role of the preferences for renewable energy," Energy & Environment, , vol. 31(4), pages 676-691, June.
    4. Managi, Shunsuke & Guan, Dabo, 2017. "Multiple disasters management: Lessons from the Fukushima triple events," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 114-122.
    5. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    6. Nakai, Miwa & von Loessl, Victor & Wetzel, Heike, 2024. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," Ecological Economics, Elsevier, vol. 223(C).
    7. Romuald Méango & François Poinas, 2023. "The (Option-) Value of Overstaying," CESifo Working Paper Series 10536, CESifo.
    8. Gutsche, Gunnar & Nakai, Miwa & Arimura, Toshi H., 2021. "Revisiting the determinants of individual sustainable investment—The case of Japan," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    9. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    10. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2022. "Understanding migration aversion using elicited counterfactual choice probabilities," Journal of Econometrics, Elsevier, vol. 231(1), pages 123-147.
    11. Collewet, Marion & Koster, Paul, 2023. "Preference estimation from point allocation experiments," Journal of choice modelling, Elsevier, vol. 48(C).
    12. 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.
    13. Makiko Nakano, 2023. "Examining Preference for Energy-Related Information through a Choice Experiment," Energies, MDPI, vol. 16(5), pages 1-15, March.
    14. Gunnar Gutsche & Miwa Nakai & Toshi H. Arimura, 2021. "Individual Sustainable Investment in Japan," RIEEM Discussion Paper Series 2006, Research Institute for Environmental Economics and Management, Waseda University.

    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. 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.
    2. Alló, Maria & Loureiro, Maria L., 2014. "The role of social norms on preferences towards climate change policies: A meta-analysis," Energy Policy, Elsevier, vol. 73(C), pages 563-574.
    3. Cheng, Y.S. & Cao, K.H. & Woo, C.K. & Yatchew, A., 2017. "Residential willingness to pay for deep decarbonization of electricity supply: Contingent valuation evidence from Hong Kong," Energy Policy, Elsevier, vol. 109(C), pages 218-227.
    4. 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.
    5. 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.
    6. 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.
    7. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    8. Lim, Kyoung-Min & Lim, Seul-Ye & Yoo, Seung-Hoon, 2014. "Estimating the economic value of residential electricity use in the Republic of Korea using contingent valuation," Energy, Elsevier, vol. 64(C), pages 601-606.
    9. 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).
    10. 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).
    11. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    12. Simona Bigerna & Carlo Andrea Bollino & Paolo Polinori, 2014. "The Question of Sustainability of Green Electricity Policy Intervention," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    13. 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.
    14. Jihee Lee & HyungBin Moon & Jongsu Lee, 2021. "Consumers’ heterogeneous preferences toward the renewable portfolio standard policy: An evaluation of Korea’s energy transition policy," Energy & Environment, , vol. 32(4), pages 648-667, June.
    15. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    16. Anna Kowalska-Pyzalska & David Ramsey, 2018. "Household willingness to pay for green electricity in Poland," HSC Research Reports HSC/18/04, Hugo Steinhaus Center, Wroclaw University of Technology.
    17. Elcin Akcura, 2013. "Mandatory versus voluntary payment for green electricity," Working Papers 161, European Bank for Reconstruction and Development, Office of the Chief Economist.
    18. Ladenburg, Jacob, 2014. "Dynamic properties of the preferences for renewable energy sources – A wind power experience-based approach," Energy, Elsevier, vol. 76(C), pages 542-551.
    19. Heng, Yan & Lu, Chao-Lin & Yu, Luqing & Gao, Zhifeng, 2020. "The heterogeneous preferences for solar energy policies among US households," Energy Policy, Elsevier, vol. 137(C).
    20. Elcin Akcura, 2013. "Mandatory vs Voluntary Payment for Green Electricity," Working Papers EPRG 1316, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.

    More about this item

    Keywords

    Energy-mix; Consumer preferences; Choice probabilities; Conjoint analysis; Nuclear power; Renewable energy;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:ecanpo:v:48:y:2015:i:c:p:82-105. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.