IDEAS home Printed from https://ideas.repec.org/a/dse/indecr/0098.html
   My bibliography  Save this article

An Econometric Approach to Analysis of Trends and Patterns of Household Fuel Choices in India

Author

Listed:
  • Swarup, V. Ashita

    (Administrative Staff College of India, Hyderabad, India)

  • Rao, K. Ramachandra

    (University of Hyderabad, India)

Abstract

Studies on fuel choices in India have been confined to looking a broad general picture of household fuel usage and refer to stacking of fuels. However the studies do not cover the number of fuels used, nor do they take into account the differences in fuel choices across the states of India. Using data from NSS household expenditure surveys, the paper defines stacking in terms of the concurrent use of fuel types and builds a conditional logit model to analyse the trends in stacking behaviour of households. The findings suggest that households do shift to superior fuels but do not abandon the inferior fuels altogether. The study discusses the factors affecting the odds ratio for switching to modern fuels.

Suggested Citation

  • Swarup, V. Ashita & Rao, K. Ramachandra, 2015. "An Econometric Approach to Analysis of Trends and Patterns of Household Fuel Choices in India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 50(1), pages 105-129.
    • Handle: RePEc:dse:indecr:0098
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Chen, Feifei & Qiu, Huanguang & Zhang, Jun, 2022. "Energy consumption and income of the poor in rural China: Inference for poverty measures," Energy Policy, Elsevier, vol. 163(C).

    More about this item

    Keywords

    Energy Ladder; Stacking; Conditional Logit Model;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

    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:dse:indecr:0098. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Pami Dua (email available below). General contact details of provider: https://edirc.repec.org/data/deudein.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.