IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v35y2017i1p125-142.html
   My bibliography  Save this article

Prepaid Electricity Plan And Electricity Consumption Behavior

Author

Listed:
  • Yueming Qiu
  • Bo Xing
  • Yi David Wang

Abstract

No abstract is available for this item.

Suggested Citation

  • Yueming Qiu & Bo Xing & Yi David Wang, 2017. "Prepaid Electricity Plan And Electricity Consumption Behavior," Contemporary Economic Policy, Western Economic Association International, vol. 35(1), pages 125-142, January.
    • Handle: RePEc:bla:coecpo:v:35:y:2017:i:1:p:125-142
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/coep.12170
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. James H. Stock & Mark W. Watson, 2008. "Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression," Econometrica, Econometric Society, vol. 76(1), pages 155-174, January.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Kakoli Bandyopadhyay, 2008. "User acceptance of prepayment metering systems in India," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 1(4), pages 450-465.
    4. Meredith Fowlie & Stephen P. Holland & Erin T. Mansur, 2012. "What Do Emissions Markets Deliver and to Whom? Evidence from Southern California's NOx Trading Program," American Economic Review, American Economic Association, vol. 102(2), pages 965-993, April.
    5. Mwaura, Francis M., 2012. "Adopting electricity prepayment billing system to reduce non-technical energy losses in Uganda: Lesson from Rwanda," Utilities Policy, Elsevier, vol. 23(C), pages 72-79.
    6. Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
    7. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    8. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    9. Tewari, D. D. & Shah, Tushaar, 2003. "An assessment of South African prepaid electricity experiment, lessons learned, and their policy implications for developing countries," Energy Policy, Elsevier, vol. 31(9), pages 911-927, July.
    10. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    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. Beyene, Abebe D. & Jeuland, Marc & Sebsibie, Samuel & Hassen, Sied & Mekonnen, Alemu & Meles, Tensay H. & Pattanayak, Subhrendu K. & Klug, Thomas, 2022. "Pre-paid meters and household electricity use behaviors: Evidence from Addis Ababa, Ethiopia," Energy Policy, Elsevier, vol. 170(C).
    2. Qiu, Yueming & Kahn, Matthew E., 2019. "Impact of voluntary green certification on building energy performance," Energy Economics, Elsevier, vol. 80(C), pages 461-475.
    3. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.
    4. Werthschulte, Madeline, 2023. "Present focus and billing systems: Testing ‘pay-as-you-go’ vs. ‘pay-later’," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 108-121.

    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. Beyene, Abebe D. & Jeuland, Marc & Sebsibie, Samuel & Hassen, Sied & Mekonnen, Alemu & Meles, Tensay H. & Pattanayak, Subhrendu K. & Klug, Thomas, 2022. "Pre-paid meters and household electricity use behaviors: Evidence from Addis Ababa, Ethiopia," Energy Policy, Elsevier, vol. 170(C).
    2. Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
    3. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    4. Jonathan M. Lee, 2015. "The Impact of Heterogeneous NOx Regulations on Distributed Electricity Generation in U.S. Manufacturing," Working Papers 15-12, Center for Economic Studies, U.S. Census Bureau.
    5. Brown, Christopher J. & Markusson, Nils, 2019. "The responses of older adults to smart energy monitors," Energy Policy, Elsevier, vol. 130(C), pages 218-226.
    6. Mwaura, Francis M., 2012. "Adopting electricity prepayment billing system to reduce non-technical energy losses in Uganda: Lesson from Rwanda," Utilities Policy, Elsevier, vol. 23(C), pages 72-79.
    7. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    8. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).
    9. Jacome, Veronica & Ray, Isha, 2018. "The prepaid electric meter: Rights, relationships and reification in Unguja, Tanzania," World Development, Elsevier, vol. 105(C), pages 262-272.
    10. 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).
    11. 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.
    12. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    13. James Carroll & Eleanor Denny & Seán Lyons, 2016. "The Effects of Energy Cost Labelling on Appliance Purchasing Decisions: Trial Results from Ireland," Journal of Consumer Policy, Springer, vol. 39(1), pages 23-40, March.
    14. O'Sullivan, Kimberley C. & Howden-Chapman, Philippa L. & Fougere, Geoffrey M. & Hales, Simon & Stanley, James, 2013. "Empowered? Examining self-disconnection in a postal survey of electricity prepayment meter consumers in New Zealand," Energy Policy, Elsevier, vol. 52(C), pages 277-287.
    15. Carrasco-Garcés, Moisés & Vásquez-Lavín, Felipe & Ponce Oliva, Roberto D. & Diaz Pincheira, Francisco & Barrientos, Manuel, 2021. "Estimating the implicit discount rate for new technology adoption of wood-burning stoves," Energy Policy, Elsevier, vol. 156(C).
    16. Jan Stede, 2019. "Do Energy Efficiency Networks Save Energy? Evidence from German Plant-Level Data," Discussion Papers of DIW Berlin 1813, DIW Berlin, German Institute for Economic Research.
    17. Sahari, Anna, 2019. "Electricity prices and consumers’ long-term technology choices: Evidence from heating investments," European Economic Review, Elsevier, vol. 114(C), pages 19-53.
    18. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    19. Curtis, E. Mark & Lee, Jonathan M., 2019. "When do environmental regulations backfire? Onsite industrial electricity generation, energy efficiency and policy instruments," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 174-194.
    20. d'Adda, Giovanna & Galliera, Arianna & Tavoni, Massimo, 2020. "Urgency and engagement: Empirical evidence from a large-scale intervention on energy use awareness," Journal of Economic Psychology, Elsevier, vol. 81(C).

    More about this item

    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:bla:coecpo:v:35:y:2017:i:1:p:125-142. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.