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A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia

Author

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  • Albert Malama

    (Department of Architecture, School of the Built Environment, Copperbelt University, PO Box 21962, Kitwe 10101, Zambia)

  • Lilias Makashini

    (Department of Real Estate, School of the Built Environment, Copperbelt University, PO Box 21962, Kitwe 10101, Zambia)

  • Henry Abanda

    (School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK)

  • Austine Ng'ombe

    (Department of Real Estate, School of the Built Environment, Copperbelt University, PO Box 21962, Kitwe 10101, Zambia)

  • Priscilla Mudenda

    (Department of Urban and Regional Planning, School of the Built Environment, Copperbelt University, PO Box 21962, Kitwe 10101, Zambia)

Abstract

Energy efficiency has been an important topic since the latter part of the last century. This is because adoption of energy efficiency measures has been acknowledged as one of the key methods of addressing the negative impact of climate change. In Zambia, however, the need to adopt energy efficiency measures has not just been driven by the imperative to mitigate the negative effects of climate change but also by a critical shortage of energy. This research looks at households’ energy consumption behavior in low- and high-income areas of Kitwe. Recent studies on the relationship between household energy consumption and behavioral lifestyle have been descriptive, with limited emphasis on the relationships between various variables. In this study, descriptive and inferential statistics have been used to investigate relationships between the two income groups and various energy consumption-related variables such as knowledge about energy reduction measures, energy saving strategies, barriers to the use of energy saving strategies, and the motives for using energy reduction strategies. Methodologically, the study was largely quantitative in nature, with questionnaires administered to a combined total of 56 households. However, key interviews were also conducted that helped us to get a clearer understanding of some of the issues covered in the research. Key findings are that whereas the descriptive statistics show that there are behavioral differences between the two income groups, the inferential statistics show that there is no relationship between income level and the energy efficiency variables. This has been found to be consistent with results from studies done elsewhere. The key lesson is that there is low usage of energy efficiency measures in both low- and high-income areas and that the authorities need to change the way information is disseminated to consumers from the current method of advertising to social diffusion.

Suggested Citation

  • Albert Malama & Lilias Makashini & Henry Abanda & Austine Ng'ombe & Priscilla Mudenda, 2015. "A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia," Resources, MDPI, vol. 4(4), pages 1-32, November.
  • Handle: RePEc:gam:jresou:v:4:y:2015:i:4:p:871-902:d:59437
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    References listed on IDEAS

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    1. Owens, Susan & Driffill, Louise, 2008. "How to change attitudes and behaviours in the context of energy," Energy Policy, Elsevier, vol. 36(12), pages 4412-4418, December.
    2. Nematchoua, Modeste Kameni & Tchinda, René & Orosa, José A., 2014. "Thermal comfort and energy consumption in modern versus traditional buildings in Cameroon: A questionnaire-based statistical study," Applied Energy, Elsevier, vol. 114(C), pages 687-699.
    3. Akintola Akintoye, 2000. "Analysis of factors influencing project cost estimating practice," Construction Management and Economics, Taylor & Francis Journals, vol. 18(1), pages 77-89.
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