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Household electricity and gas consumption for heating homes

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  • Jeong, Jaehoon
  • Seob Kim, Chang
  • Lee, Jongsu

Abstract

Energy consumption has been drastically changed because of energy source depletion, price fluctuations, development and penetration of alternative energy sources, and government policies. Household energy sources are interrelated, and energy price and household characteristics, such as income level and dwelling size, affect the usage. To supply energy consistently and achieve a balance between production and consumption, stakeholders must understand consumer energy-consumption behavior. Therefore, this study identifies household heating energy usage patterns and the substitutive and/or complementary relationships between electricity and gas. Based on a multiple discrete-continuous extreme value model, household utility structure is identified from data on gas-heating usage. Results show greater utility and the smallest satiation values for gas boilers than for electric heaters and electric heating beds. The effects of consumer socioeconomic and environmental characteristics on the choice of heating energy sources were analyzed. Also, for further comparison, the respondents were split into high and low categories for income, heating degree days, dwelling size, and gas usage. Gas was found to be the most economical heating choice for households.

Suggested Citation

  • Jeong, Jaehoon & Seob Kim, Chang & Lee, Jongsu, 2011. "Household electricity and gas consumption for heating homes," Energy Policy, Elsevier, vol. 39(5), pages 2679-2687, May.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:5:p:2679-2687
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    as
    1. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    2. Lutzenhiser, Loren, 1992. "A cultural model of household energy consumption," Energy, Elsevier, vol. 17(1), pages 47-60.
    3. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    4. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    5. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    6. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    7. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    8. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
    9. repec:bla:scandj:v:103:y:2001:i:1:p:165-84 is not listed on IDEAS
    10. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    11. 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.
    12. R. Bruce Billings & Donald E. Agthe, 1980. "Price Elasticities for Water: A Case of Increasing Block Rates," Land Economics, University of Wisconsin Press, vol. 56(1), pages 73-84.
    13. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    14. Yoo, Seung-Hoon & Lee, Joo Suk & Kwak, Seung-Jun, 2007. "Estimation of residential electricity demand function in Seoul by correction for sample selection bias," Energy Policy, Elsevier, vol. 35(11), pages 5702-5707, November.
    15. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
    16. Karns, David A. & Khera, Inder P., 1983. "U.S. consumer attitudes and home-heating conservation behavior: A multiattribute longitudinal model," Journal of Economic Psychology, Elsevier, vol. 4(1-2), pages 57-70, October.
    17. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    18. Jaehwan Kim & Greg M. Allenby & Peter E. Rossi, 2002. "Modeling Consumer Demand for Variety," Marketing Science, INFORMS, vol. 21(3), pages 229-250, December.
    19. Narayan, Paresh Kumar & Smyth, Russell, 2005. "The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 33(4), pages 467-474, March.
    20. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    Full references (including those not matched with items on IDEAS)

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