IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-18-00268.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I1-P39.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schipper, Lee & Ketoff, Andrea, 1983. "Home energy use in nine OECD countries, 1960-1980," Energy Policy, Elsevier, vol. 11(2), pages 131-147, June.
    2. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Bensel, Terrence G. & Remedio, Elizabeth M., 1995. "Residential energy use patterns in Cebu City, Philippines," Energy, Elsevier, vol. 20(3), pages 173-187.
    12. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    13. 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.
    14. Connie Bayudan, 2006. "Wives' time allocation and intrahousehold power: evidence from the Philippines," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 789-804.
    15. Meyers, Stephen & Schipper, Lee, 1984. "Energy in american homes: Changes and prospects," Energy, Elsevier, vol. 9(6), pages 495-504.
    16. 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.
    17. Dacuycuy, Connie B., 2016. "Weather Events and Welfare in the Philippine Households," Discussion Papers DP 2016-34, Philippine Institute for Development Studies.
    18. Lenzen, Manfred & Dey, Christopher & Foran, Barney, 2004. "Energy requirements of Sydney households," Ecological Economics, Elsevier, vol. 49(3), pages 375-399, July.
    19. 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.
    20. 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.
    21. Chudgar, Amita, 2011. "Female Headship and Schooling Outcomes in Rural India," World Development, Elsevier, vol. 39(4), pages 550-560, April.
    22. 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.
    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. 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.
    2. Connie Bayudan-Dacuycuy & Lora Kryz Baje, 2019. "When It Rains, It Pours? Analyzing the Rainfall Shocks-Poverty Nexus in the Philippines," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 67-93, August.
    3. Dacuycuy, Connie B., 2016. "Weather Events and Welfare in the Philippine Households," Discussion Papers DP 2016-34, Philippine Institute for Development Studies.
    4. Li, Jia & Just, Richard E., 2018. "Modeling household energy consumption and adoption of energy efficient technology," Energy Economics, Elsevier, vol. 72(C), pages 404-415.
    5. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    6. Dacuycuy, Connie B., 2016. "Weather Events and Welfare in the Philippine Households," Research Paper Series DP 2016-34, Philippine Institute for Development Studies.
    7. François Cohen & Matthieu Glachant & Magnus Söderberg, 2017. "The cost of adapting to climate change: evidence from the US residential sector," Working Papers hal-01695171, HAL.
    8. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
    9. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018. "A discrete/continuous choice model on a nonconvex budget set," Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
    10. Meixuan Teng & Hua Liao & Paul J. Burke & Tianqi Chen & Chen Zhang, 2022. "Adaptive responses: the effects of temperature levels on residential electricity use in China," Climatic Change, Springer, vol. 172(3), pages 1-20, June.
    11. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    12. Hocheol Jeon, 2019. "The Impact of Climate Change on Passenger Vehicle Fuel Consumption: Evidence from U.S. Panel Data," Energies, MDPI, vol. 12(23), pages 1-15, November.
    13. Sam Fankhauser, 2017. "Adaptation to Climate Change," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 209-230, October.
    14. Reza Fazeli & Brynhildur Davidsdottir & Jonas Hlynur Hallgrimsson, 2016. "Climate Impact On Energy Demand For Space Heating In Iceland," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-23, May.
    15. Zhang, Mingyang & Zhang, Kaiwen & Hu, Wuyang & Zhu, Bangzhu & Wang, Ping & Wei, Yi-Ming, 2020. "Exploring the climatic impacts on residential electricity consumption in Jiangsu, China," Energy Policy, Elsevier, vol. 140(C).
    16. Matthew Ranson & Lauren Morris & Alex Kats-Rubin, 2014. "Climate Change and Space Heating Energy Demand: A Review of the Literature," NCEE Working Paper Series 201407, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2014.
    17. Enrica De Cian & Filippo Pavanello & Teresa Randazzo & Malcolm Mistry & Marinella Davide, 2019. "Does climate influence households' thermal comfort decisions?," Working Papers 2019:02, Department of Economics, University of Venice "Ca' Foscari".
    18. Randazzo, Teresa & De Cian, Enrica & Mistry, Malcolm N., 2020. "Air conditioning and electricity expenditure: The role of climate in temperate countries," Economic Modelling, Elsevier, vol. 90(C), pages 273-287.
    19. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    20. Hsing-Hsiang Huang & Michael R. Moore, 2018. "Farming under Weather Risk: Adaptation, Moral Hazard, and Selection on Moral Hazard," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 77-124, National Bureau of Economic Research, Inc.

    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

    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:ebl:ecbull:eb-18-00268. 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: John P. Conley (email available below). General contact details of provider: .

    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.