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Understanding the determinants of household cooking fuel choice in Afghanistan: A multinomial logit estimation


  • Paudel, Uttam
  • Khatri, Umesh
  • Pant, Krishna Prasad


Cooking energy demand in Afghanistan has mostly fulfilled by traditional energy sources despite availability of health and environment friendly clean energy options internationally. Understanding the determinants of household cooking fuel choice either to prefer clean or traditional energy sources is therefore important to identify policy options for clean energy promotion. For this, a nationally representative household information using Afghanistan Demographic and Household Survey 2015 is analyzed using multinomial logistic regression model. The results show that residence in urban areas, availability of electricity, higher household wealth, high education, married status and separate cooking place positively affect choice of liquefied petroleum-gas as compared to traditional fuels; whereas large family size and aged household head indeed have positive linkages on probability of choosing animal dung as cooking fuel. Robustness of the results shows that wealthy households are more likely to use liquefied petroleum gas and fuel wood compared to poor households, therefore confirm priority for wealth generation. For motivating the rural households to use clean-cooking-fuel, government and other cohorts should put effort on increasing affordability of rural households to clean energy sources through provision and employment opportunities, improving access to electricity and creating awareness about the health and environmental benefits of clean energy.

Suggested Citation

  • Paudel, Uttam & Khatri, Umesh & Pant, Krishna Prasad, 2018. "Understanding the determinants of household cooking fuel choice in Afghanistan: A multinomial logit estimation," Energy, Elsevier, vol. 156(C), pages 55-62.
  • Handle: RePEc:eee:energy:v:156:y:2018:i:c:p:55-62
    DOI: 10.1016/

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    Cited by:

    1. Acharya, Bikram & Marhold, Klaus, 2019. "Determinants of household energy use and fuel switching behavior in Nepal," Energy, Elsevier, vol. 169(C), pages 1132-1138.
    2. Riva, Fabio & Gardumi, Francesco & Tognollo, Annalisa & Colombo, Emanuela, 2019. "Soft-linking energy demand and optimisation models for local long-term electricity planning: An application to rural India," Energy, Elsevier, vol. 166(C), pages 32-46.
    3. McLean, Elena V. & Bagchi-Sen, Sharmistha & Atkinson, John D. & Ravenscroft, Julia & Hewner, Sharon & Schindel, Alexandra, 2019. "Country-level analysis of household fuel transitions," World Development, Elsevier, vol. 114(C), pages 267-280.

    More about this item


    Cooking fuel; Clean energy; Afghanistan; Multinomial-logit; Choice probability;

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources


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