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Variations in energy use by Indian households: An analysis of micro level data

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  • Narasimha Rao, M.
  • Reddy, B. Sudhakara

Abstract

In this paper an attempt has been made to determine the factors that influence individual's decision to choose a particular energy carrier, viz., firewood, LPG, kerosene, and electricity. From the economic perspective, an individual's propensity to choose a particular energy carrier is determined by his/her economic status, carrier availability and prices, household size and other regional and demographic variables. For this reason, the choice of selecting a carrier for a service (e.g. cooking) is expected to vary among individuals. To assess this, the study uses the 1999–2000 National Sample Survey (NSS) data covering over 118,000 households and analyses the rural and urban areas separately. A multinomial logit selection model has been applied for estimating the energy carrier choice decision. The results show that individuals are influenced by per capita income, household size, educational status of the head of the household, occupation of the household members, in addition to other household location characteristics. It is found that the monthly household income and household size have nonlinear relationship on the probability of choosing a fuel.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:32:y:2007:i:2:p:143-153
    DOI: 10.1016/j.energy.2006.03.012
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    References listed on IDEAS

    as
    1. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    2. Sudhakara Reddy, B., 1994. "A Multilogit Model for Fuel Shifts in the Dometic Sector," Papers 106, Indira Gandhi Institute of Development Research-.
    3. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
    4. Parikh, Jyoti & Balakrishnan, Kalpana & Laxmi, Vijay & Biswas, Haimanti, 2001. "Exposure from cooking with biofuels: pollution monitoring and analysis for rural Tamil Nadu, India," Energy, Elsevier, vol. 26(10), pages 949-962.
    5. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    6. Reddy, B. Sudhakara, 2003. "Overcoming the energy efficiency gap in India's household sector," Energy Policy, Elsevier, vol. 31(11), pages 1117-1127, September.
    7. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
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