IDEAS home Printed from https://ideas.repec.org/p/shs/wpaper/1604.html
   My bibliography  Save this paper

What Makes Rural Households Use Traditional Fuel? Empirical Evidence from India

Author

Listed:
  • Aditi Bhattacharyya

    (Department of Economics and International Business, Sam Houston State University)

  • Daisy Das

    (North Eastern Hill University, Shillong, Meghalaya, India)

Abstract

This paper investigates the effects of different types of cooking fuels on the technical efficiency of household meal production in rural India. Rural households in India use for cooking either traditional fuels like firewood, dung, crop residue, and coal or modern fuels like liquefied petroleum gas (LPG) and kerosene, or a combination of both traditional and modern fuels. Using the stochastic frontier method, this paper estimates the influence of different types of cooking fuel and other household level characteristics on the technical efficiency of household meal production. We use a representative sample of 3880 rural households from the India Human Development Survey, 2008. Our results indicate that efficiency of meal preparation is significantly higher when households use either a traditional or a combination of both traditional and modern fuels than if they use modern fuels alone. Thus, results of this paper shed light on reasons other than cost behind the overwhelming popularity of traditional fuels in spite of their adverse health and environmental effects. This result is likely to be driven by the capacity constraint imposed by LPG and kerosene burners in cooking a large quantity of food at a time. Our study identifies use of traditional fuel as a viable option for reducing energy poverty in rural India, and recommends extensive policy for supplying improved wood burning cook stoves and afforestation to reduce the harmful pollution effects of open fire. The policy makers should also emphasize on provision of biogas plant and biomass gasifier along with afforestation. Further, our study recognizes the need for developing and supplying more efficient cooking stoves for modern fuels to promote higher use of clean energy sources. Our results also suggest policy intervention in improving women’s education, household income, provision of ration card, and providing government support in acquiring improved cooking stoves for increasing efficiency of meal production at the household level.

Suggested Citation

  • 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.
  • Handle: RePEc:shs:wpaper:1604
    as

    Download full text from publisher

    File URL: http://www.shsu.edu/academics/economics-and-international-business/documents/wp_series/wp16-04_paper.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khandker, Shahidur R. & Barnes, Douglas F. & Samad, Hussain A., 2012. "Are the energy poor also income poor? Evidence from India," Energy Policy, Elsevier, vol. 47(C), pages 1-12.
    2. Heltberg, Rasmus, 2005. "Factors determining household fuel choice in Guatemala," Environment and Development Economics, Cambridge University Press, vol. 10(3), pages 337-361, June.
    3. Balachandra, P., 2011. "Modern energy access to all in rural India: An integrated implementation strategy," Energy Policy, Elsevier, vol. 39(12), pages 7803-7814.
    4. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    5. Akpalu, Wisdom & Dasmani, Isaac & Aglobitse, Peter B., 2011. "Demand for cooking fuels in a developing country: To what extent do taste and preferences matter?," Energy Policy, Elsevier, vol. 39(10), pages 6525-6531, October.
    6. 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.
    7. Narasimha Rao, M. & Reddy, B. Sudhakara, 2007. "Variations in energy use by Indian households: An analysis of micro level data," Energy, Elsevier, vol. 32(2), pages 143-153.
    8. Hiemstra-van der Horst, Greg & Hovorka, Alice J., 2008. "Reassessing the "energy ladder": Household energy use in Maun, Botswana," Energy Policy, Elsevier, vol. 36(9), pages 3333-3344, September.
    9. Cavatorta, Elisa & Shankar, Bhavani & Flores-Martinez, Artemisa, 2015. "Explaining Cross-State Disparities in Child Nutrition in Rural India," World Development, Elsevier, vol. 76(C), pages 216-237.
    10. Bansal, Mohit & Saini, R.P. & Khatod, D.K., 2013. "Development of cooking sector in rural areas in India—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 44-53.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    12. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2016. "Household energy choice and consumption intensity: Empirical evidence from Bhutan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 993-1009.
    4. 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.
    5. Malla, Sunil & Timilsina, Govinda R, 2014. "Household cooking fuel choice and adoption of improved cookstoves in developing countries : a review," Policy Research Working Paper Series 6903, The World Bank.
    6. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter & Marenya, Paswel, 2017. "A ladder within a ladder: Understanding the factors influencing a household's domestic use of electricity in four African countries," Energy Economics, Elsevier, vol. 66(C), pages 167-181.
    7. Takama, Takeshi & Tsephel, Stanzin & Johnson, Francis X., 2012. "Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia. A discrete choice model of household preferences for clean cooking alternatives," Energy Economics, Elsevier, vol. 34(6), pages 1763-1773.
    8. Mottaleb, Khondoker Abdul & Rahut, Dil Bahadur & Ali, Akhter, 2017. "An exploration into the household energy choice and expenditure in Bangladesh," Energy, Elsevier, vol. 135(C), pages 767-776.
    9. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2017. "Factors determining household use of clean and renewable energy sources for lighting in Sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 661-672.
    10. Calzada, Joan & Sanz, Alex, 2018. "Universal access to clean cookstoves: Evaluation of a public program in Peru," Energy Policy, Elsevier, vol. 118(C), pages 559-572.
    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. 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.
    13. Christophe Muller & Huijie Yan, 2018. "Household Fuel Use in Rural China," AMSE Working Papers 1808, Aix-Marseille School of Economics, France.
    14. Akhter Ali & Dil Bahadur Rahut & Khondoker Abdul Mottaleb & Jeetendra Prakash Aryal, 2019. "Alternate energy sources for lighting among rural households in the Himalayan region of Pakistan: Access and impact," Energy & Environment, , vol. 30(7), pages 1291-1312, November.
    15. 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.
    16. N. Brahmanandam & R. Nagarajan, 2021. "The Transition in Household Energy Use for Cooking in India: Evidence from a Longitudinal Survey," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(4), pages 433-455, November.
    17. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    18. Dacuycuy, Connie B., 2017. "Energy Consumption, Weather Variability, and Gender in the Philippines: A Discrete/Continuous Approach," Discussion Papers DP 2017-06, Philippine Institute for Development Studies.
    19. Rajesh Kalli & Pradyot Ranjan Jena & Shunsuke Managi, 2022. "Subsidized LPG Scheme and the Shift to Cleaner Household Energy Use: Evidence from a Tribal Community of Eastern India," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    20. Aditi Bhattacharyya & Daisy Das & Arkadipta Ghosh, 2017. "Electrification and Welfare of Poor Households in Rural India," Working Papers 1702, Sam Houston State University, Department of Economics and International Business.

    More about this item

    Keywords

    Meal production; Modern fuel; Technical efficiency; Traditional fuel; Stochastic frontier analysis;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:shs:wpaper:1604. 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: Christian Raschke (email available below). General contact details of provider: https://edirc.repec.org/data/deshsus.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.