IDEAS home Printed from https://ideas.repec.org/r/eee/ecolec/v97y2014icp42-50.html

Labeling energy cost on light bulbs lowers implicit discount rates

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Praveen K. Kopalle & Jesse Burkhardt & Kenneth Gillingham & Lauren S. Grewal & Nailya Ordabayeva, 2024. "Delivering affordable clean energy to consumers," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1452-1474, October.
  2. M. del Mar Solà & A. de Ayala & I. Galarraga, 2021. "The Effect of Providing Monetary Information on Energy Savings for Household Appliances: A Field Trial in Spain," Journal of Consumer Policy, Springer, vol. 44(2), pages 279-310, June.
  3. Edouard Civel & Nathaly Cruz-Garcia, 2018. "Green, yellow or red lemons? Framed field experiment on houses energy labels perception," Working Papers hal-04141696, HAL.
  4. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
  5. Samdruk Dharshing & Stefanie Lena Hille, 2017. "The Energy Paradox Revisited: Analyzing the Role of Individual Differences and Framing Effects in Information Perception," Journal of Consumer Policy, Springer, vol. 40(4), pages 485-508, December.
  6. Blasch, Julia & Filippini, Massimo & Kumar, Nilkanth, 2019. "Boundedly rational consumers, energy and investment literacy, and the display of information on household appliances," Resource and Energy Economics, Elsevier, vol. 56(C), pages 39-58.
  7. Yokessa, Maïmouna & Marette, Stéphan, 2019. "A Review of Eco-labels and their Economic Impact," International Review of Environmental and Resource Economics, now publishers, vol. 13(1-2), pages 119-163, April.
  8. Kumar, Rajeev Ranjan & Raj, Alok & Ajith Kumar, J., 2025. "The energy efficiency paradox in electric vehicle adoption: Estimating the internal discount rate and the influences of behavioural factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
  9. Edouard Civel & Nathaly Cruz, 2018. "Green, yellow or red lemons? Artefactual field experiment on houses energy labels perception," Working Papers 1809, Chaire Economie du climat.
  10. Ishengoma, Esther K. & Gabriel, Genoveva, 2021. "Factors influencing the payment of costs of converting oil-to CNG-fuelled cars in a market dominated by used-cars," Energy Policy, Elsevier, vol. 156(C).
  11. Stadelmann, Marcel & Schubert, Renate, 2018. "How Do Different Designs of Energy Labels Influence Purchases of Household Appliances? A Field Study in Switzerland," Ecological Economics, Elsevier, vol. 144(C), pages 112-123.
  12. Carroll, James & Denny, Eleanor & Lyons, Ronan C. & Petrov, Ivan, 2024. "Better energy cost information changes household property investment decisions: Evidence from a nationwide experiment," Energy Economics, Elsevier, vol. 139(C).
  13. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
  14. Rockstuhl, Sebastian & Wenninger, Simon & Wiethe, Christian & Häckel, Björn, 2021. "Understanding the risk perception of energy efficiency investments: Investment perspective vs. energy bill perspective," Energy Policy, Elsevier, vol. 159(C).
  15. Haq, Gary & Weiss, Martin, 2016. "CO2 labelling of passenger cars in Europe: Status, challenges, and future prospects," Energy Policy, Elsevier, vol. 95(C), pages 324-335.
  16. Franceschini, Simone & Borup, Mads & Rosales-Carreón, Jesús, 2018. "Future indoor light and associated energy consumption based on professionals' visions: A practice- and network-oriented analysis," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 1-11.
  17. Sergi, Brian & Azevedo, Inês & Xia, Tian & Davis, Alex & Xu, Jianhua, 2019. "Support for Emissions Reductions Based on Immediate and Long-term Pollution Exposure in China," Ecological Economics, Elsevier, vol. 158(C), pages 26-33.
  18. Julia Blasch & Claudio Daminato, 2018. "Behavioral anomalies and energy-related individual choices: the role of status-quo bias," CER-ETH Economics working paper series 18/300, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  19. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016. "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 182-210.
  20. Andersen, Kristoffer Steen & Wiese, Catharina & Petrovic, Stefan & McKenna, Russell, 2020. "Exploring the role of households’ hurdle rates and demand elasticities in meeting Danish energy-savings target," Energy Policy, Elsevier, vol. 146(C).
  21. Enongene, K.E. & Murray, P. & Holland, J. & Abanda, F.H., 2017. "Energy savings and economic benefits of transition towards efficient lighting in residential buildings in Cameroon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 731-742.
  22. De La Maza, Cristóbal & Davis, Alex & Azevedo, Inês, 2021. "Welfare analysis of the ecological impacts of electricity production in Chile using the sparse multinomial logit model," Ecological Economics, Elsevier, vol. 184(C).
  23. Ahlrichs, Jakob & Rockstuhl, Sebastian & Tränkler, Timm & Wenninger, Simon, 2020. "The impact of political instruments on building energy retrofits: A risk-integrated thermal Energy Hub approach," Energy Policy, Elsevier, vol. 147(C).
  24. Guo, Fei & Pachauri, Shonali & Cofala, Janusz, 2017. "Cost-effective subsidy incentives for room air conditioners in China: An analysis based on a McFadden-type discrete choice model," Energy Policy, Elsevier, vol. 110(C), pages 375-385.
  25. McGowan, Féidhlim P. & Denny, Eleanor & Lunn, Peter D., 2023. "Looking beyond time preference: Testing potential causes of low willingness to pay for fuel economy improvements," Resource and Energy Economics, Elsevier, vol. 75(C).
  26. He, Shutong & Blasch, Julia & van Beukering, Pieter & Wang, Junfeng, 2022. "Energy labels and heuristic decision-making: The role of cognition and energy literacy," Energy Economics, Elsevier, vol. 114(C).
  27. Brodnicke, Linda & Rizzo, Giacomo & Sansavini, Giovanni, 2025. "Accelerating heat pump adoption in Switzerland: An agent-based policy assessment," Energy Policy, Elsevier, vol. 205(C).
  28. Farzan, Farbod & Jafari, Mohsen A. & Gong, Jie & Farzan, Farnaz & Stryker, Andrew, 2015. "A multi-scale adaptive model of residential energy demand," Applied Energy, Elsevier, vol. 150(C), pages 258-273.
  29. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.
  30. E. Denny, 2022. "Long-term Energy Cost Labelling for Appliances: Evidence from a Randomised Controlled Trial in Ireland," Journal of Consumer Policy, Springer, vol. 45(3), pages 369-409, September.
  31. Oleson, Kirsten L.L. & Barnes, Michele & Brander, Luke M. & Oliver, Thomas A. & van Beek, Ingrid & Zafindrasilivonona, Bienvenue & van Beukering, Pieter, 2015. "Cultural bequest values for ecosystem service flows among indigenous fishers: A discrete choice experiment validated with mixed methods," Ecological Economics, Elsevier, vol. 114(C), pages 104-116.
  32. Mitsutsugu Hamamoto, 2023. "Estimating consumers’ discount rates in energy-saving investment decisions: a comparison of revealed and stated approaches," SN Business & Economics, Springer, vol. 3(7), pages 1-19, July.
  33. Amaia de Ayala & María del Mar Solà, 2022. "Assessing the EU Energy Efficiency Label for Appliances: Issues, Potential Improvements and Challenges," Energies, MDPI, vol. 15(12), pages 1-25, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.