IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v75y2018icp449-463.html
   My bibliography  Save this article

A structural model of cooking fuel choices in developing countries

Author

Listed:
  • Poblete-Cazenave, Miguel
  • Pachauri, Shonali

Abstract

Access to cleaning cooking fuels and stoves is an important indicator of well-being, as this enables several improvements in quality of life. In many developing countries, a big proportion of the population still depends on biomass for cooking, and the adoption of clean cooking fuels is still limited. Here, we propose a structural model to estimate household demand and choices for cooking fuel using micro-datasets from nationally representative surveys for a subset of developing countries. We test the model by estimating the demand response to simulated changes in fuel prices and income. We find that the model provides a close approximation to the observed patterns in the data from the surveys. We also find that as long as incomes rise and the relative difference between the prices of biomass and cleaner fuels decreases, households will transition to cleaner cooking fuels. We discuss potential applications of the method for constructing and analyzing future scenarios of cooking energy transitions.

Suggested Citation

  • Poblete-Cazenave, Miguel & Pachauri, Shonali, 2018. "A structural model of cooking fuel choices in developing countries," Energy Economics, Elsevier, vol. 75(C), pages 449-463.
    • Handle: RePEc:eee:eneeco:v:75:y:2018:i:c:p:449-463
    DOI: 10.1016/j.eneco.2018.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988318303712
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2018.09.003?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. Keane, Michael P., 2010. "Structural vs. atheoretic approaches to econometrics," Journal of Econometrics, Elsevier, vol. 156(1), pages 3-20, May.
    2. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    3. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    4. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    5. Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2016. "Modeling household cooking fuel choice: A panel multinomial logit approach," Energy Economics, Elsevier, vol. 59(C), pages 129-137.
    6. Ekholm, Tommi & Krey, Volker & Pachauri, Shonali & Riahi, Keywan, 2010. "Determinants of household energy consumption in India," Energy Policy, Elsevier, vol. 38(10), pages 5696-5707, October.
    7. Kowsari, Reza & Zerriffi, Hisham, 2011. "Three dimensional energy profile:," Energy Policy, Elsevier, vol. 39(12), pages 7505-7517.
    8. Heltberg, Rasmus, 2005. "Factors determining household fuel choice in Guatemala," Environment and Development Economics, Cambridge University Press, vol. 10(3), pages 337-361, June.
    9. Campbell, B. M. & Vermeulen, S. J. & Mangono, J. J. & Mabugu, R., 2003. "The energy transition in action: urban domestic fuel choices in a changing Zimbabwe," Energy Policy, Elsevier, vol. 31(6), pages 553-562, May.
    10. Smith, Kirk R. & Sagar, Ambuj, 2014. "Making the clean available: Escaping India’s Chulha Trap," Energy Policy, Elsevier, vol. 75(C), pages 410-414.
    11. Heltberg, Rasmus, 2004. "Fuel switching: evidence from eight developing countries," Energy Economics, Elsevier, vol. 26(5), pages 869-887, September.
    12. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    13. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2016. "Patterns and determinants of household use of fuels for cooking: Empirical evidence from sub-Saharan Africa," Energy, Elsevier, vol. 117(P1), pages 93-104.
    14. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    15. Colin Cameron & Shonali Pachauri & Narasimha D. Rao & David McCollum & Joeri Rogelj & Keywan Riahi, 2016. "Policy trade-offs between climate mitigation and clean cook-stove access in South Asia," Nature Energy, Nature, vol. 1(1), pages 1-5, January.
    16. Cheng, Chao-yo & Urpelainen, Johannes, 2014. "Fuel stacking in India: Changes in the cooking and lighting mix, 1987–2010," Energy, Elsevier, vol. 76(C), pages 306-317.
    17. van Ruijven, Bas J. & van Vuuren, Detlef P. & de Vries, Bert J.M. & Isaac, Morna & van der Sluijs, Jeroen P. & Lucas, Paul L. & Balachandra, P., 2011. "Model projections for household energy use in India," Energy Policy, Elsevier, vol. 39(12), pages 7747-7761.
    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. Li Huang & Heng Wu & Mi Zhou, 2022. "Implications of Non-Farm Work for Clean Energy Adoption: Evidence from Rural China," Agriculture, MDPI, vol. 12(12), pages 1-19, December.
    2. Liang, Shuai & Wang, Peng & Jia, Cunlu & Zhu, Jialan, 2023. "Studying green financing, factor allocation efficiency, and regional productivity growth in renewable energy industries," Renewable Energy, Elsevier, vol. 214(C), pages 130-139.
    3. Wang, Hanjie & Maruejols, Lucie & Yu, Xiaohua, 2021. "Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning," Energy Economics, Elsevier, vol. 102(C).
    4. Jayasinghe, Maneka & Selvanathan, E.A. & Selvanathan, Saroja, 2021. "Energy poverty in Sri Lanka," Energy Economics, Elsevier, vol. 101(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. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    2. Kojo Sarfo Gyamfi & Elena Gaura & James Brusey & Alessandro Bezerra Trindade & Nandor Verba, 2020. "Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection," Energies, MDPI, vol. 13(15), pages 1-21, July.
    3. Wassie, Yibeltal T. & Rannestad, Meley M. & Adaramola, Muyiwa S., 2021. "Determinants of household energy choices in rural sub-Saharan Africa: An example from southern Ethiopia," Energy, Elsevier, vol. 221(C).
    4. Kuo, Ying-Min & Azam, Mehtabul, 2019. "Household Cooking Fuel Choice in India, 2004-2012: A Panel Multinomial Analysis," IZA Discussion Papers 12682, Institute of Labor Economics (IZA).
    5. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    6. Gupta, Ridhima & Pelli, Martino, 2021. "Electrification and cooking fuel choice in rural India," World Development, Elsevier, vol. 146(C).
    7. Vahlne, Niklas, 2017. "On LPG usage in rural Vietnamese households," Development Engineering, Elsevier, vol. 2(C), pages 1-11.
    8. Han, Hongyun & Wu, Shu, 2018. "Rural residential energy transition and energy consumption intensity in China," Energy Economics, Elsevier, vol. 74(C), pages 523-534.
    9. Fydess Khundi-Mkomba, 2021. "Are Urban Rwandan Households using Modern Energy Sources? An Exploration of Cooking Fuel Choices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 325-332.
    10. Ahmed Moustapha Mfokeu & Elie Virgile Chrysostome & Jean-Pierre Gueyie & Olivier Ebenezer Mun Ngapna, 2023. "Consumer Motivation behind the Use of Ecological Charcoal in Cameroon," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    11. Andadari, Roos Kities & Mulder, Peter & Rietveld, Piet, 2014. "Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia," Energy Policy, Elsevier, vol. 66(C), pages 436-449.
    12. Khalid Waleed & Faisal Mehmood Mirza, 2023. "Examining fuel choice patterns through household energy transition index: an alternative to traditional energy ladder and stacking models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6449-6501, July.
    13. Gaur, Varun, 2018. "Determinants of household’s modern cooking and lighting energy transition in rural India – Exploring household’s activities and its interactions with other households," Discussion Papers 271347, University of Bonn, Center for Development Research (ZEF).
    14. Gelo, Dambala & Kollamparambil, Umakrishnan & Jeuland, Marc, 2023. "The causal effect of income on household energy transition: Evidence from old age pension eligibility in South Africa," Energy Economics, Elsevier, vol. 119(C).
    15. Rahul Ranjan & Sudershan Singh, 2023. "Switching Towards LPG: Indian Household Perspectives," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 417-435, June.
    16. Lee, Soo Min & Kim, Yeon-Su & Jaung, Wanggi & Latifah, Sitti & Afifi, Mansur & Fisher, Larry A., 2015. "Forests, fuelwood and livelihoods—energy transition patterns in eastern Indonesia," Energy Policy, Elsevier, vol. 85(C), pages 61-70.
    17. Mensah, Justice Tei & Adu, George, 2015. "An empirical analysis of household energy choice in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1402-1411.
    18. Korkeakoski Mika & Mentula Minna & Vähäkari Noora & Luukkanen Jyrki & Kaivo-oja Jari & Alexeeva Anna & Chea Eliyan & Va Dany & Kallio Maarit & Hogarth Nicholas, 2021. "Situation analysis of energy use and consumption in Cambodia: household access to energy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18631-18655, December.
    19. Emodi, Nnaemeka Vincent & Haruna, Emmanuel Umoru & Abdu, Nizam & Aldana Morataya, Sergio David & Dioha, Michael O. & Abraham-Dukuma, Magnus C., 2022. "Urban and rural household energy transition in Sub-Saharan Africa: Does spatial heterogeneity reveal the direction of the transition?," Energy Policy, Elsevier, vol. 168(C).
    20. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2014. "The impact of the household decision environment on fuel choice behavior," Energy Economics, Elsevier, vol. 44(C), pages 236-247.

    More about this item

    Keywords

    Household energy consumption; Energy access;

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    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:eneeco:v:75:y:2018:i:c:p:449-463. 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/eneco .

    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.