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Factors Influencing Electricity Consumption in Rural Households

Author

Listed:
  • Diana Stella Garcia-Miranda

    (Facultad de Ingenieria, Universidad Distrital Francisco Jose de Caldas, Bogotá 110231, Colombia)

  • Francisco Santamaria

    (Facultad de Ingenieria, Universidad Distrital Francisco Jose de Caldas, Bogotá 110231, Colombia)

  • Cesar Leonardo Trujillo

    (Facultad de Ingenieria, Universidad Distrital Francisco Jose de Caldas, Bogotá 110231, Colombia)

  • Herbert Enrique Rojas-Cubides

    (Facultad de Ingenieria, Universidad Distrital Francisco Jose de Caldas, Bogotá 110231, Colombia)

  • William Alfonso Riaño

    (Facultad de Ingenieria, Universidad Distrital Francisco Jose de Caldas, Bogotá 110231, Colombia)

Abstract

Over time, several relationships have been defined between electricity consumption and a region’s social and economic variables, with income as the main factor. This paper uses multiple correspondence analysis to identify the categories of dwellings and, from a graphical point of view (positioning maps), the effects of the different characteristics that influence the electricity consumption of households in rural areas of Cundinamarca, Colombia. In this analysis, the consumption of residential users responded mainly to what they can afford or acquire based on their income, consumption habits, and the characteristics of the technology. Furthermore, this study highlights the implications of these findings for policymakers and energy providers, providing valuable insights for developing targeted strategies to promote energy efficiency and sustainability in rural areas. This research contributes to a deeper understanding of the dynamics of electricity consumption and highlights the importance of tailoring energy-related interventions to the specific socio-economic context of rural communities, in this case in Cundinamarca.

Suggested Citation

  • Diana Stella Garcia-Miranda & Francisco Santamaria & Cesar Leonardo Trujillo & Herbert Enrique Rojas-Cubides & William Alfonso Riaño, 2024. "Factors Influencing Electricity Consumption in Rural Households," Energies, MDPI, vol. 17(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1392-:d:1356751
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    References listed on IDEAS

    as
    1. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    2. Laurie Buys & Desley Vine & Gerard Ledwich & John Bell & Kerrie Mengersen & Peter Morris & Jim Lewis, 2015. "A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-20, March.
    3. Xuechao Xia & Hui Sun & Zedong Yang & Weipeng Yuan & Dianyuan Ma, 2022. "Decoupling Analysis of Rural Population Change and Rural Electricity Consumption Change in China," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    4. Day, Rosie & Walker, Gordon & Simcock, Neil, 2016. "Conceptualising energy use and energy poverty using a capabilities framework," Energy Policy, Elsevier, vol. 93(C), pages 255-264.
    5. Dergiades, Theologos & Tsoulfidis, Lefteris, 2008. "Estimating residential demand for electricity in the United States, 1965-2006," Energy Economics, Elsevier, vol. 30(5), pages 2722-2730, September.
    6. Xie, Qichang & Bai, Dingchuan & Cong, Xiaoping, 2022. "Modeling the dynamic influences of economic growth and financial development on energy consumption in emerging economies: Insights from dynamic nonlinear approaches," Energy Economics, Elsevier, vol. 116(C).
    7. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter & Marenya, Paswel, 2017. "A ladder within a ladder: Understanding the factors influencing a household's domestic use of electricity in four African countries," Energy Economics, Elsevier, vol. 66(C), pages 167-181.
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