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Preferences for Renewable Energies and Green Jobs in Mexico City

Author

Listed:
  • Héctor M. Núñez
  • Adán L. Martínez-Cruz
  • Jaime Sainz-Santamaría

Abstract

Mexico City, that boasts the first place in electricity consumption among urban centers in the country, is actively advancing its energy transition by promoting renewable energies and tapping into its potential for solar and bio-energy. As households in emerging economies drive global energy demand, this study explores preferences of Mexico City's residents. Using a discrete choice experiment, 940 residents were presented with energy contracts featuring renewable energy sources, green job creation in the energy sector, renewable energy percentages in the energy mix, and electricity prices. Estimates reveal that respondents are willing to pay a 19.5% premium over the average price per kilowatt-hour if the energy source were exclusively solar and created 1000 green jobs. These findings offer insights for other megacities with similar challenges and renewable potential in pursuing a just energy transition.

Suggested Citation

  • Héctor M. Núñez & Adán L. Martínez-Cruz & Jaime Sainz-Santamaría, 2025. "Preferences for Renewable Energies and Green Jobs in Mexico City," Working Papers 2025-05, Banco de México.
    • Handle: RePEc:bdm:wpaper:2025-05
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    File URL: https://www.banxico.org.mx/publications-and-press/banco-de-mexico-working-papers/%7B0638089B-E716-F053-0C4C-8CF935B32F77%7D.pdf
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    References listed on IDEAS

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    1. Vecchiato, Daniel & Tempesta, Tiziano, 2015. "Public preferences for electricity contracts including renewable energy: A marketing analysis with choice experiments," Energy, Elsevier, vol. 88(C), pages 168-179.
    2. Aizaki, Hideo, 2012. "Basic Functions for Supporting an Implementation of Choice Experiments in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c02).
    3. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
    4. Kosenius, Anna-Kaisa & Ollikainen, Markku, 2013. "Valuation of environmental and societal trade-offs of renewable energy sources," Energy Policy, Elsevier, vol. 62(C), pages 1148-1156.
    5. Motz, Alessandra, 2021. "Security of supply and the energy transition: The households' perspective investigated through a discrete choice model with latent classes," Energy Economics, Elsevier, vol. 97(C).
    6. Gracia, Azucena & Barreiro-Hurlé, Jesús & Pérez y Pérez, Luis, 2012. "Can renewable energy be financed with higher electricity prices? Evidence from a Spanish region," Energy Policy, Elsevier, vol. 50(C), pages 784-794.
    7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    8. 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.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero.
    10. Zozmann, Elmar & Göke, Leonard & Kendziorski, Mario & Rodriguez del Angel, Citlali & von Hirschhausen, Christian & Winkler, Johanna, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(3).
    11. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    12. Francisco Gutiérrez Galicia & Ana Lilia Coria Páez & Ricardo Tejeida Padilla, 2019. "A Study and Factor Identification of Municipal Solid Waste Management in Mexico City," Sustainability, MDPI, vol. 11(22), pages 1-41, November.
    13. Chaikumbung, Mayula, 2021. "Institutions and consumer preferences for renewable energy: A meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    14. Komarek, Timothy M. & Lupi, Frank & Kaplowitz, Michael D., 2011. "Valuing energy policy attributes for environmental management: Choice experiment evidence from a research institution," Energy Policy, Elsevier, vol. 39(9), pages 5105-5115, September.
    15. Laura Taylor & Mark Morrison & Kevin Boyle, 2010. "Exchange Rules and the Incentive Compatibility of Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(2), pages 197-220, October.
    16. Bergmann, Ariel & Colombo, Sergio & Hanley, Nick, 2008. "Rural versus urban preferences for renewable energy developments," Ecological Economics, Elsevier, vol. 65(3), pages 616-625, April.
    17. 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.
    18. 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.
    19. Knoefel, Jan & Sagebiel, Julian & Yildiz, Özgür & Müller, Jakob R. & Rommel, Jens, 2018. "A consumer perspective on corporate governance in the energy transition: Evidence from a Discrete Choice Experiment in Germany," Energy Economics, Elsevier, vol. 75(C), pages 440-448.
    20. Kanberger, Elke D. & Ziegler, Andreas, 2023. "On the preferences for an environmentally friendly and fair energy transition: A stated choice experiment for Germany," Energy Policy, Elsevier, vol. 182(C).
    21. 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.
    22. 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).
    23. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    24. 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).
    25. Aruga, Kentaka & Bolt, Timothy & Pest, Przemysław, 2021. "Energy policy trade-offs in Poland: A best-worst scaling discrete choice experiment," Energy Policy, Elsevier, vol. 156(C).
    26. Oluoch, Sydney & Lal, Pankaj & Susaeta, Andres & Wolde, Bernabas, 2021. "Public preferences for renewable energy options: A choice experiment in Kenya," Energy Economics, Elsevier, vol. 98(C).
    27. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    28. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    29. 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.
    30. Elmar Zozmann & Leonard Göke & Mario Kendziorski & Citlali Rodriguez del Angel & Christian von Hirschhausen & Johanna Winkler, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," Energies, MDPI, vol. 14(3), pages 1-17, January.
    31. Soliño, Mario & Farizo, Begoña A. & Vázquez, María X. & Prada, Albino, 2012. "Generating electricity with forest biomass: Consistency and payment timeframe effects in choice experiments," Energy Policy, Elsevier, vol. 41(C), pages 798-806.
    32. Pablo Emilio Escamilla García & María Elena Tavera Cortés & Raúl Junior Sandoval Gómez & Edmar Salinas Callejas & Horacio Eliseo Alvarado Raya, 2016. "Economic feasibility analysis for electrical generation from biogas in waste disposal sites in Mexico City," Applied Economics, Taylor & Francis Journals, vol. 48(59), pages 5761-5771, December.
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    More about this item

    Keywords

    Renewable energies; just energy transition; green jobs; middle-income households; Mexico City;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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