IDEAS home Printed from https://ideas.repec.org/a/gam/jresou/v4y2015i4p871-902d59437.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2079-9276/4/4/871/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2079-9276/4/4/871/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Akintola Akintoye, 2000. "Analysis of factors influencing project cost estimating practice," Construction Management and Economics, Taylor & Francis Journals, vol. 18(1), pages 77-89.
    3. 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.
    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. Rahman, Abul & Khanam, Tahamina & Pelkonen, Paavo, 2017. "People’s knowledge, perceptions, and attitudes towards stump harvesting for bioenergy production in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 107-116.
    2. Islam, Aminul & Chan, Eng-Seng & Taufiq-Yap, Yun Hin & Mondal, Md. Alam Hossain & Moniruzzaman, M. & Mridha, Moniruzzaman, 2014. "Energy security in Bangladesh perspective—An assessment and implication," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 154-171.
    3. Heffron, Raphael J. & McCauley, Darren & Sovacool, Benjamin K., 2015. "Resolving society's energy trilemma through the Energy Justice Metric," Energy Policy, Elsevier, vol. 87(C), pages 168-176.
    4. Anna Borawska & Mariusz Borawski & Małgorzata Łatuszyńska, 2022. "Effectiveness of Electricity-Saving Communication Campaigns: Neurophysiological Approach," Energies, MDPI, vol. 15(4), pages 1-19, February.
    5. Hyeongjun Mun & Jaewook Jeong & Jaemin Jeong, 2023. "Improving the Model for Estimating the Number of Construction Workers for Apartment Construction," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    6. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    7. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).
    8. Nolan Ritter & Julia Anna Bingler, 2021. "Do homo sapiens know their prices? Insights on dysfunctional price mechanisms from a large field experiment," CER-ETH Economics working paper series 21/348, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    9. Wei Wang & Shoujian Zhang & Yikun Su & Xinyang Deng, 2019. "An Empirical Analysis of the Factors Affecting the Adoption and Diffusion of GBTS in the Construction Market," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    10. Hai Pham & Soo-Yong Kim & Truong-Van Luu, 2020. "Managerial perceptions on barriers to sustainable construction in developing countries: Vietnam case," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2979-3003, April.
    11. Yi, Liqi & Li, Tao & Zhang, Ting, 2021. "Optimal investment selection of regional integrated energy system under multiple strategic objectives portfolio," Energy, Elsevier, vol. 218(C).
    12. Hernández-Escobedo, Q. & Fernández-García, A. & Manzano-Agugliaro, F., 2017. "Solar resource assessment for rural electrification and industrial development in the Yucatan Peninsula (Mexico)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1550-1561.
    13. Dalia Streimikiene & Tomas Balezentis, 2019. "Innovative Policy Schemes to Promote Renovation of Multi-Flat Residential Buildings and Address the Problems of Energy Poverty of Aging Societies in Former Socialist Countries," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    14. Büchs, Milena & Bahaj, AbuBakr S. & Blunden, Luke & Bourikas, Leonidas & Falkingham, Jane & James, Patrick & Kamanda, Mamusu & Wu, Yue, 2018. "Promoting low carbon behaviours through personalised information? Long-term evaluation of a carbon calculator interview," Energy Policy, Elsevier, vol. 120(C), pages 284-293.
    15. Esa, Mohd Reza & Halog, Anthony & Rigamonti, Lucia, 2017. "Strategies for minimizing construction and demolition wastes in Malaysia," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 219-229.
    16. Yunxin Peng & Adel A. Zadeh & Sheila M. Puffer, 2023. "Unearthing the Construction Industry’s Awareness of and Reactions to the Global Sand Crisis," Sustainability, MDPI, vol. 15(21), pages 1-17, November.
    17. Llewellyn, David H. & Rohse, Melanie & Day, Rosie & Fyfe, Hamish, 2017. "Evolving energy landscapes in the South Wales Valleys: Exploring community perception and participation," Energy Policy, Elsevier, vol. 108(C), pages 818-828.
    18. Davies, N.J. & Weston, R., 2015. "Reducing car-use for leisure: Can organised walking groups switch from car travel to bus and train walks?," Journal of Transport Geography, Elsevier, vol. 48(C), pages 23-29.
    19. Petra Mesarić & Damira Đukec & Slavko Krajcar, 2017. "Exploring the Potential of Energy Consumers in Smart Grid Using Focus Group Methodology," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    20. Nyoni, Thabani, 2019. "Cost overrun factors in construction industry: a case of Zimbabwe," MPRA Paper 96788, University Library of Munich, Germany.

    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:gam:jresou:v:4:y:2015:i:4:p:871-902:d:59437. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.