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Energy consumption, weather fluctuation, and household composition in the Philippines

Author

Listed:
  • Connie B. Dacuycuy

    (Philippine Institute for Development Studies)

Abstract

Using a discrete/continuous modeling approach, the total energy consumption for a benchmark household is predicted and the consumption with heat index deviation relative to the consumption without is also analyzed. This paper finds that weather fluctuations and household composition are important factors in energy consumption. Based on the prediction exercises, the paper finds that the increase in the consumption of electricity, LPG, and charcoal is mainly driven by the consumption of female-headed female-majority households, female-headed male-majority households, and female-headed balanced households, respectively. While the paper cannot provide concrete evidence on the channels why this is the case, the combined effects of traditional gender roles and headship as sources of strong bargaining power in the household can potentially explain the results.

Suggested Citation

  • Connie B. Dacuycuy, 2019. "Energy consumption, weather fluctuation, and household composition in the Philippines," Economics Bulletin, AccessEcon, vol. 39(1), pages 380-394.
  • Handle: RePEc:ebl:ecbull:eb-18-00268
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    References listed on IDEAS

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    1. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    2. Emmanuel Skoufias & Roy S. Katayama & B. Essama-Nssah, 2012. "Too little too late: welfare impacts of rainfall shocks in rural Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 48(3), pages 351-368, December.
    3. Bensel, Terrence G. & Remedio, Elizabeth M., 1995. "Residential energy use patterns in Cebu City, Philippines," Energy, Elsevier, vol. 20(3), pages 173-187.
    4. 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.
    5. Halvorsen, Bente & Larsen, Bodil M., 2001. "Norwegian residential electricity demand--a microeconomic assessment of the growth from 1976 to 1993," Energy Policy, Elsevier, vol. 29(3), pages 227-236, February.
    6. Schipper, Lee & Ketoff, Andrea, 1983. "Home energy use in nine OECD countries, 1960-1980," Energy Policy, Elsevier, vol. 11(2), pages 131-147, June.
    7. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Thomas, Timothy & Christiaensen, Luc & Do, Quy Toan & Trung, Le Dang, 2010. "Natural disasters and household welfare : evidence from Vietnam," Policy Research Working Paper Series 5491, The World Bank.
    10. Emmanuel Skoufias & David P. Coady, 2007. "Are the Welfare Losses from Imperfect Targeting Important?," Economica, London School of Economics and Political Science, vol. 74(296), pages 756-776, November.
    11. Connie Bayudan, 2006. "Wives' time allocation and intrahousehold power: evidence from the Philippines," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 789-804.
    12. Archibald, Robert & Gillingham, Robert, 1980. "An Analysis of the Short-Run Consumer Demand for Gasoline Using Household Survey Data," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 622-628, November.
    13. Dacuycuy, Connie B., 2016. "Weather Events and Welfare in the Philippine Households," Discussion Papers DP 2016-34, Philippine Institute for Development Studies.
    14. Lenzen, Manfred & Dey, Christopher & Foran, Barney, 2004. "Energy requirements of Sydney households," Ecological Economics, Elsevier, vol. 49(3), pages 375-399, July.
    15. Samuelson, Paul A, 1974. "Complementarity-An Essay on the 40th Anniversary of the Hicks-Allen Revolution in Demand Theory," Journal of Economic Literature, American Economic Association, vol. 12(4), pages 1255-1289, December.
    16. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    17. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    18. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    19. Garcia, Ruben A. & Manegdeg, Ferdinand & Raneses, Nester O., 1994. "Household energy consumption surveys in three Philippine cities," Energy, Elsevier, vol. 19(5), pages 539-548.
    20. Meyers, Stephen & Schipper, Lee, 1984. "Energy in american homes: Changes and prospects," Energy, Elsevier, vol. 9(6), pages 495-504.
    21. Asian Development Bank Institute, 2017. "A Region at Risk: The Human Dimensions of Climate Change in Asia and the Pacific," Working Papers id:11878, eSocialSciences.
    22. Chudgar, Amita, 2011. "Female Headship and Schooling Outcomes in Rural India," World Development, Elsevier, vol. 39(4), pages 550-560, April.
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    More about this item

    Keywords

    energy consumption; weather fluctuation; household composition; Philippines;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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