IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/22147.html
   My bibliography  Save this paper

Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data

Author

Listed:
  • Couture, Stéphane
  • Garcia, Serge
  • Reynaud, Arnaud

Abstract

In an international context of soaring oil prices and growing awareness of the need to combat global warming, wood would appear to be becoming increasingly competitive and desirable for our environment. France is the leading consumer of fuelwood in the EU, mainly for home consumption and for heating, although the share of wood in primary energy consumption is still very low (4%). It is therefore important to understand how domestic consumer fuelwood demand is determined. We propose an econometric analysis of fuelwood consumption by modeling the choice made by consumers of the type of use of wood for heating, and the possible combination between one energy used as a main source of heating and another used as a back-up. Our estimations show that this choice is mainly determined by income. Wood is chosen as the main energy source by the poorest households. Consumption is price sensitive in the case of main use of wood (price elasticity of -0.4), but price elasticity is lower in the case of back-up use, and varies according to the type of energy used as the main source (electricity, gas, fuel oil).

Suggested Citation

  • Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," TSE Working Papers 09-044, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:22147
    as

    Download full text from publisher

    File URL: http://www.tse-fr.eu/sites/default/files/medias/doc/wp/env/wp_env_44_2009.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Smith, Kirk R. & Apte, Michael G. & Yuqing, Ma & Wongsekiarttirat, Wathana & Kulkarni, Ashwini, 1994. "Air pollution and the energy ladder in asian cities," Energy, Elsevier, vol. 19(5), pages 587-600.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. 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.
    4. Ouedraogo, Boukary, 2006. "Household energy preferences for cooking in urban Ouagadougou, Burkina Faso," Energy Policy, Elsevier, vol. 34(18), pages 3787-3795, December.
    5. 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.
    6. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    7. Vaage, Kjell, 2000. "Heating technology and energy use: a discrete/continuous choice approach to Norwegian household energy demand," Energy Economics, Elsevier, vol. 22(6), pages 649-666, December.
    8. Schmertmann, Carl P., 1994. "Selectivity bias correction methods in polychotomous sample selection models," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 101-132.
    9. Gupta, Gautam & Kohlin, Gunnar, 2006. "Preferences for domestic fuel: Analysis with socio-economic factors and rankings in Kolkata, India," Ecological Economics, Elsevier, vol. 57(1), pages 107-121, April.
    10. Karl Steininger & Herbert Voraberger, 2003. "Exploiting the Medium Term Biomass Energy Potentials in Austria: A Comparison of Costs and Macroeconomic Impact," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 359-377, April.
    11. MacKenzie, John & Weaver, Thomas F., 1986. "A Household Production Analysis Of Fuelwood Demand In Rhode Island," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 15(1), pages 1-8, April.
    12. Rasmus Heltberg & Thomas Channing Arndt & Nagothu Udaya Sekhar, 2000. "Fuelwood Consumption and Forest Degradation: A Household Model for Domestic Energy Substitution in Rural India," Land Economics, University of Wisconsin Press, vol. 76(2), pages 213-232.
    13. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    14. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    15. 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.
    16. Chambwera, Muyeye & Folmer, Henk, 2007. "Fuel switching in Harare: An almost ideal demand system approach," Energy Policy, Elsevier, vol. 35(4), pages 2538-2548, April.
    17. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    18. Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
    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. Jaime, Mónica M. & Chávez, Carlos & Gómez, Walter, 2020. "Fuel choices and fuelwood use for residential heating and cooking in urban areas of central-southern Chile: The role of prices, income, and the availability of energy sources and technology," Resource and Energy Economics, Elsevier, vol. 60(C).
    2. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
    3. Karimu, Amin & Mensah, Justice Tei & Adu, George, 2016. "Who Adopts LPG as the Main Cooking Fuel and Why? Empirical Evidence on Ghana Based on National Survey," World Development, Elsevier, vol. 85(C), pages 43-57.
    4. Collins, Matthew & Dempsey, Seraphim & Curtis, John, 2017. "Financial incentives for residential energy efficiency investments in Ireland: Should the status quo be maintained?," Papers WP562, Economic and Social Research Institute (ESRI).
    5. McCoy, Daire & Curtis, John, 2018. "Exploring the spatial and temporal determinants of gas central heating adoption," Resource and Energy Economics, Elsevier, vol. 52(C), pages 64-86.
    6. Matthew Collins & Seraphim Dempsey & John Curtis, 2018. "Householder Preferences for the Design of an Energy Efficiency Retrofit Subsidy in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 49(2), pages 145-172.
    7. Nogueira, Luiz Augusto Horta & Antonio de Souza, Luiz Gustavo & Cortez, Luís Augusto Barbosa & Leal, Manoel Regis Lima Verde, 2017. "Sustainable and Integrated Bioenergy Assessment for Latin America, Caribbean and Africa (SIByl-LACAf): The path from feasibility to acceptability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 292-308.
    8. Caurla, Sylvain & Bertrand, Vincent & Delacote, Philippe & Le Cadre, Elodie, 2018. "Heat or power: How to increase the use of energy wood at the lowest cost?," Energy Economics, Elsevier, vol. 75(C), pages 85-103.
    9. Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    10. Fercovic, Juan & Foster, William & Gulati, Sumeet, 2024. "Slow burn: Weak energy transition in a growing economy," Energy Economics, Elsevier, vol. 136(C).
    11. Arabatzis, G. & Malesios, Ch., 2011. "An econometric analysis of residential consumption of fuelwood in a mountainous prefecture of Northern Greece," Energy Policy, Elsevier, vol. 39(12), pages 8088-8097.
    12. Ortega-Izquierdo, Margarita & Paredes-Salvador, Andrés & Montoya-Rasero, Carlos, 2019. "Analysis of the decision making factors for heating and cooling systems in Spanish households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 175-185.
    13. Andrighetto, N. & Masiero, M. & Pettenella, D., 2018. "The role of indirect woody biomass sources in the Italian energy sector," 2018 Seventh AIEAA Conference, June 14-15, Conegliano, Italy 275656, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. Curtis, John & Tovar, Miguel Angel & Grilli, Gianluca, 2020. "Access to and consumption of natural gas: Spatial and socio-demographic drivers," Energy Policy, Elsevier, vol. 143(C).
    15. Vass, Miriam Münnich & Elofsson, Katarina, 2016. "Is forest carbon sequestration at the expense of bioenergy and forest products cost-efficient in EU climate policy to 2050?," Journal of Forest Economics, Elsevier, vol. 24(C), pages 82-105.
    16. Curtis, John & McCoy, Daire & Aravena, Claudia, 2018. "Heating system upgrades: The role of knowledge, socio-demographics, building attributes and energy infrastructure," Energy Policy, Elsevier, vol. 120(C), pages 183-196.
    17. Lygia Romanach & Elisha Frederiks, 2021. "Understanding the Key Determinants of Residential Firewood Consumption in Australia: A Nationwide Household Survey," Energies, MDPI, vol. 14(20), pages 1-19, October.
    18. Curtis, John & McCoy, Daire & Aravena Novielli, Claudia, 2017. "Determinants of residential heating system choice: an analysis of Irish households," Papers WP576, Economic and Social Research Institute (ESRI).
    19. Yang, Xiaojun & Xu, Jintao & Xu, Xiaojie & Yi, Yuanyuan & Hyde, William F., 2020. "Collective forest tenure reform and household energy consumption: A case study in Yunnan Province, China," China Economic Review, Elsevier, vol. 60(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. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    2. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    3. 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.
    4. Arabatzis, G. & Malesios, Ch., 2011. "An econometric analysis of residential consumption of fuelwood in a mountainous prefecture of Northern Greece," Energy Policy, Elsevier, vol. 39(12), pages 8088-8097.
    5. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    6. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    7. 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.
    8. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Miguel Santolino & Magnus Söderberg, 2014. "Modelling appellate courts’ responses in motor injury disputes," European Journal of Law and Economics, Springer, vol. 38(3), pages 393-407, December.
    10. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
    11. Zheren Wu, 2010. "Self‐selection and Earnings of Migrants: Evidence from Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 23-44, March.
    12. Zhang, Xiao-Bing & Hassen, Sied, 2017. "Household fuel choice in urban China: evidence from panel data," Environment and Development Economics, Cambridge University Press, vol. 22(4), pages 392-413, August.
    13. Gebreegziabher, Zenebe & Mekonnen, Alemu & Kassie, Menale & Köhlin, Gunnar, 2012. "Urban energy transition and technology adoption: The case of Tigrai, northern Ethiopia," Energy Economics, Elsevier, vol. 34(2), pages 410-418.
    14. 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.
    15. Zhang, Yu, 2013. "Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China," Economics of Education Review, Elsevier, vol. 32(C), pages 1-28.
    16. Robert Breunig & Joseph Mercante, 2010. "The Accuracy of Predicted Wages of the Non‐Employed and Implications for Policy Simulations from Structural Labour Supply Models," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 49-70, March.
    17. Miguel Santolino & Magnus Söderberg, 2011. "The influence of decision-maker effort and case complexity on appealed rulings subject to multi-categorical selection," IREA Working Papers 201115, University of Barcelona, Research Institute of Applied Economics, revised Sep 2011.
    18. 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.
    19. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    20. Acharjee, Ashis & Chakraborti, Prasun, 2024. "Study and development of a logical model for an ORC based district heating renewable energy system considering discrete analysis," Energy, Elsevier, vol. 298(C).

    More about this item

    Keywords

    energy wood; type of use; domestic demand;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tse:wpaper:22147. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.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.