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Determining the Relationship between Residential Electricity Consumption and Factors: Case of Seoul

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  • Min-Jeong Kim

    (Department of Consumer Economics, Sookmyung Women’s University, 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul 04310, Korea)

Abstract

This paper aims to determine the relationship between residential electricity consumption and other factors by analyzing the correlation and multiple regression between residential electricity consumption and three variables which are known as the factors affecting residential electricity consumption. We used the electricity consumption, income, number of household members, and age of 25 autonomous districts in Seoul as data for analysis, assuming that the socio-demographic characteristics vary from district to district in Seoul. The results showed that the electricity consumption and the three variables each had a significant correlation. However, multiple regression analysis results showed that the income and the number of household members have an effect on electricity consumption, but the average age is not a factor influencing electricity consumption. The results of this study would be useful for understanding the characteristics of urban residential electricity consumption in situations where the needs for an increase in residential electricity rates are continuously coming out.

Suggested Citation

  • Min-Jeong Kim, 2020. "Determining the Relationship between Residential Electricity Consumption and Factors: Case of Seoul," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8590-:d:429580
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    References listed on IDEAS

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    1. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    2. 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.
    3. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    4. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
    5. Yohanis, Yigzaw Goshu, 2012. "Domestic energy use and householders' energy behaviour," Energy Policy, Elsevier, vol. 41(C), pages 654-665.
    6. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
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    Cited by:

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    2. Sharif Shofirun Sharif Ali & Muhammad Rizal Razman & Azahan Awang & M. R. M. Asyraf & M. R. Ishak & R. A. Ilyas & Roderick John Lawrence, 2021. "Critical Determinants of Household Electricity Consumption in a Rapidly Growing City," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    3. Pruethsan Sutthichaimethee & Chanintorn Jittawiriyanukoon, 2022. "Analyzing the Impact of Causal Factors on Political Management to Determine Sustainability Policy under Environmental Law: Enriching the Covariance-based SEMxi Model," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 282-293, July.
    4. Dong Sik Kim & Wookyung Jung & Beom Jin Chung, 2021. "Analysis of the Electricity Supply Contracts for Medium-Voltage Apartments in the Republic of Korea," Energies, MDPI, vol. 14(2), pages 1-17, January.

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