IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v131y2019icp320-331.html
   My bibliography  Save this article

Energy efficiency programs in the context of increasing block tariffs: The case of residential electricity in Mexico

Author

Listed:
  • Hancevic, Pedro Ignacio
  • Lopez-Aguilar, Javier Alejandro

Abstract

Increasing block pricing schemes represent difficulties for applied researchers who try to recover demand parameters, in particular, price and income elasticities. The Mexican residential electricity tariff structure is amongst the most intricate around the globe. In this paper, we estimate the residential electricity demand and use the corresponding structural parameter estimates to simulate an energy efficiency improvement scenario, as suggested by the Energy Transition Law of December 2015. The simulated program consists of a massive replacement of electric appliances (air conditioners, fans, refrigerators, washing machines, and lights) for more energy-efficient units. The main empirical findings are the following: in the main counterfactual scenario, the overall residential electricity consumption decreases 9.9% and the associated expenditure falls 11.3%. Additionally, the electricity subsidy decreases 7.5 billion of Mexican Pesos per year (i.e., 403 million of USD at the average exchange rate registered in 2017) and there is an annual cut in CO2 emissions of 3.9 million of tons.

Suggested Citation

  • Hancevic, Pedro Ignacio & Lopez-Aguilar, Javier Alejandro, 2019. "Energy efficiency programs in the context of increasing block tariffs: The case of residential electricity in Mexico," Energy Policy, Elsevier, vol. 131(C), pages 320-331.
    • Handle: RePEc:eee:enepol:v:131:y:2019:i:c:p:320-331
    DOI: 10.1016/j.enpol.2019.04.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142151930254X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2019.04.015?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hancevic, Pedro I. & Nuñez, Hector M., 2017. "Distributed Photovoltaic Power Generation: A Widespread Application in the Mexican Residential Sector," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258129, Agricultural and Applied Economics Association.
    2. Olmstead, Sheila M., 2009. "Reduced-Form Versus Structural Models of Water Demand Under Nonlinear Prices," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 84-94.
    3. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    4. Rapson, David, 2014. "Durable goods and long-run electricity demand: Evidence from air conditioner purchase behavior," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 141-160.
    5. Hancevic, Pedro I. & Nuñez, Hector M. & Rosellon, Juan, 2017. "Distributed photovoltaic power generation: Possibilities, benefits, and challenges for a widespread application in the Mexican residential sector," Energy Policy, Elsevier, vol. 110(C), pages 478-489.
    6. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    7. Nataraj, Shanthi & Hanemann, W. Michael, 2011. "Does marginal price matter? A regression discontinuity approach to estimating water demand," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 198-212, March.
    8. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    9. Hausman, Jerry A., 1985. "Taxes and labor supply," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 1, chapter 4, pages 213-263, Elsevier.
    10. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    11. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    12. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    13. Aldo Gutiérrez Mendieta, 2016. "Determinantes de consumo eficiente de energía eléctrica en el sector residencial en México: un enfoque de regresión cuantílica," Graduate theses (Spanish) TESG 010, CIDE, División de Economía.
    14. Lucas W. Davis & Alan Fuchs & Paul Gertler, 2014. "Cash for Coolers: Evaluating a Large-Scale Appliance Replacement Program in Mexico," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 207-238, November.
    15. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-1130, December.
    16. Raina Gandhi, Christopher R. Knittel, Paula Pedro,and Catherine Wolfram, 2016. "Running Randomized Field Experiments for Energy Efficiency Programs: A Practitioners Guide," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    17. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    18. Robert Hahn and Robert Metcalfe, 2016. "The Impact of Behavioral Science Experiments on Energy Policy," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    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. Hancevic, Pedro I. & Nuñez, Hector M. & Rosellon, Juan, 2017. "Distributed photovoltaic power generation: Possibilities, benefits, and challenges for a widespread application in the Mexican residential sector," Energy Policy, Elsevier, vol. 110(C), pages 478-489.
    2. Verma, Pramit & Kumari, Tanu & Raghubanshi, Akhilesh Singh, 2021. "Energy emissions, consumption and impact of urban households: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Castro Pérez, José E. & Flores, Daniel, 2023. "The effect of retail price regulation on the wholesale price of electricity," Energy Policy, Elsevier, vol. 173(C).
    4. Pedro I. Hancevic & Hector H. Sandoval, 2023. "Solar Panel Adoption in SMEs in Emerging Countries," Working Papers 222, Red Nacional de Investigadores en Economía (RedNIE).
    5. Martínez-Cruz, Adán L. & Núñez, Héctor M., 2021. "Tension in Mexico's energy transition: Are urban residential consumers in Aguascalientes willing to pay for renewable energy and green jobs?," Energy Policy, Elsevier, vol. 150(C).
    6. Andrés Felipe Ramírez Sánchez & Juan Sebastián Solís-Chaves & Andrea del Pilar Rodríguez-Muñoz & Luis Alejandro Arias Barragán & Diana Ximena Serna-Pérez & Omar Fredy Prías Caicedo, 2022. "Residential Refrigeration MEPS in Colombia: A Review and a Comparative Analysis," Energies, MDPI, vol. 15(17), pages 1-35, September.
    7. Li, Lanlan & Ming, Huayang & Fu, Weizhong & Shi, Quan & Yu, Shiwei, 2021. "Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method," Energy, Elsevier, vol. 224(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. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., 2017. "Modeling Rational But Inattentive Consumer’s Residential Water Demand," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258555, Agricultural and Applied Economics Association.
    2. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    3. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., 2018. "Testing the behavior of rationally inattentive consumers in a residential water market," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 344-359.
    4. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    5. Kenneth A. Baerenklau & Kurt A. Schwabe & Ariel Dinar, 2014. "The Residential Water Demand Effect of Increasing Block Rate Water Budgets," Land Economics, University of Wisconsin Press, vol. 90(4), pages 683-699.
    6. Baerenklau, Kenneth A. & Schwabe, Kurt & Dinar, Ariel, 2014. "Do Increasing Block Rate Water Budgets Reduce Residential Water Demand? A Case Study in Southern California," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170019, Agricultural and Applied Economics Association.
    7. Daniel A. Brent, 2016. "Estimating Water Demand Elasticity at the Intensive and Extensive Margin," Departmental Working Papers 2016-06, Department of Economics, Louisiana State University.
    8. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018. "A discrete/continuous choice model on a nonconvex budget set," Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
    9. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2006. "Bayesian Estimation of Demand Functions under Block Rate Pricing," CIRJE F-Series CIRJE-F-424, CIRJE, Faculty of Economics, University of Tokyo.
    10. Kim, Hyun-gyu, 2019. "Estimating demand response in an extreme block pricing environment: Evidence from Korea's electricity pricing system, 2005–2014," Energy Policy, Elsevier, vol. 132(C), pages 1076-1086.
    11. Milan Ščasný & Šarlota Smutná, 2021. "Estimation of price and income elasticity of residential water demand in the Czech Republic over three decades," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 580-608, June.
    12. Steven Buck & Maximilian Auffhammer & Stephen Hamilton & David Sunding, 2016. "Measuring Welfare Losses from Urban Water Supply Disruptions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 743-778.
    13. Mansur, Erin T. & Olmstead, Sheila M., 2012. "The value of scarce water: Measuring the inefficiency of municipal regulations," Journal of Urban Economics, Elsevier, vol. 71(3), pages 332-346.
    14. Cristina Lopez-Mayan, 2014. "Microeconometric Analysis of Residential Water Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 137-166, September.
    15. María Ángeles García-Valiñas & Sara Suárez-Fernández, 2022. "Are Economic Tools Useful to Manage Residential Water Demand? A Review of Old Issues and Emerging Topics," Post-Print hal-04067487, HAL.
    16. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-770, CIRJE, Faculty of Economics, University of Tokyo.
    17. R. Aaron Hrozencik & Dale T. Manning & Jordan F. Suter & Christopher Goemans, 2022. "Impacts of Block‐Rate Energy Pricing on Groundwater Demand in Irrigated Agriculture," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 404-427, January.
    18. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    19. Liang Lu & David Deller & Morten Hviid, 2019. "Price and Behavioural Signals to Encourage Household Water Conservation: Implications for the UK," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 475-491, January.
    20. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).

    More about this item

    Keywords

    Increasing block pricing; Energy efficiency; Residential electricity users; Electric appliances; Energy subsidies; Air pollution;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:enepol:v:131:y:2019:i:c:p:320-331. 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/enpol .

    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.