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

Author

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  • Stéphane Couture

    (Unité de recherche Biométrie et Intelligence Artificielle, INRA)

  • Serge Garcia

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Arnaud Reynaud

    (Laboratoire d’Economie et des Ressources Naturelles, INRA - Université Toulouse 1)

Abstract

This study proposes an econometric analysis of household fuelwood demand in France. The choice concerning the energy used for heating is modeled, stressing the combination between one type of energy used as a main source and another one used as a back-up. This endogenous decision has an impact on fuelwood consumption and is taken into account to avoid biased estimates of price and income elasticities. The results show that the choice of energy mix is determined by the income and the socio-economic characteristics of households, and that fuelwood consumption is price-sensitive in the case where wood is the main source of energy.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2011. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach using French Data," Working Papers - Cahiers du LEF 2011-03, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    • Handle: RePEc:lef:wpaper:2011-03
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    1. 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.
    2. 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.
    3. Farsi, Mehdi & Filippini, Massimo & Pachauri, Shonali, 2007. "Fuel choices in urban Indian households," Environment and Development Economics, Cambridge University Press, vol. 12(6), pages 757-774, December.
    4. Rulon D. Pope, 2009. "Consumption and Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1176-1186.
    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. Song, Nianfu & Aguilar, Francisco X. & Shifley, Stephen R. & Goerndt, Michael E., 2012. "Factors affecting wood energy consumption by U.S. households," Energy Economics, Elsevier, vol. 34(2), pages 389-397.
    7. 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.
    8. Moiseyev, Alexander & Solberg, Birger & Kallio, A. Maarit I. & Lindner, Marcus, 2011. "An economic analysis of the potential contribution of forest biomass to the EU RES target and its implications for the EU forest industries," Journal of Forest Economics, Elsevier, vol. 17(2), pages 197-213, April.
    9. 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.
    10. Schmertmann, Carl P., 1994. "Selectivity bias correction methods in polychotomous sample selection models," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 101-132.
    11. 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.
    12. An, Li & Lupi, Frank & Liu, Jianguo & Linderman, Marc A. & Huang, Jinyan, 2002. "Modeling the choice to switch from fuelwood to electricity: Implications for giant panda habitat conservation," Ecological Economics, Elsevier, vol. 42(3), pages 445-457, September.
    13. 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.
    14. 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.
    15. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    14. Abubakar Hamid Danlami & Rabiul Islam & Shri Dewi Applanaidu, 2015. "An Analysis of the Determinants of Households Energy Choice: A Search for Conceptual Framework," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 197-205.
    15. 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.
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    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).
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    21. Aditi Bhattacharyya & Daisy Das, 2016. "What Makes Rural Households Use Traditional Fuel? Empirical Evidence from India," Working Papers 1604, Sam Houston State University, Department of Economics and International Business.
    22. John Eakins & Bernadette Power & Gordon Sirr, 2024. "An Analysis of Households Choice of Solid Fuels as a Primary and Supplementary Heating Fuel," The Energy Journal, , vol. 45(2), pages 91-109, March.
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    24. 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).
    25. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    fuelwood demand; energy mix; multinomial choice; selection bias.;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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