Media Influence on Climate Change Behaviour and Livelihoods in Kamulanga Ward 9, Lusaka: An Assessment of Information Dissemination Effects
Authors
University of Zambia Graduate School of Business, Lusaka (Zambia)
Article Information
DOI: 10.47772/IJRISS.2026.100400510
Subject Category: Social science
Volume/Issue: 10/4 | Page No: 7164-7180
Publication Timeline
Submitted: 2026-04-17
Accepted: 2026-04-23
Published: 2026-05-15
Abstract
This study examines the influence of media-driven climate change information on public perception, behavior, and livelihoods in Kamulanga Ward, Lusaka, Zambia. While media is widely recognized for its capacity to raise climate awareness, limited empirical evidence exists on whether such awareness translates into sustained behavioral and livelihood change in urban communities in the developing world. This study addresses that gap by examining the relationship between media exposure, perception, behavioral outcomes, and livelihood adaptation within a context shaped by socio-economic constraints. A convergent mixed-methods design was employed, integrating quantitative and qualitative data collected concurrently and analysed separately before being integrated at the interpretation stage. Data were obtained from 105 respondents using semi- structured questionnaires and semi-structured interviews. Quantitative data were analysed using descriptive statistics, Pearson’s correlation, one-sample t-tests, and ANOVA, while qualitative data were analysed thematically following Braun and Clarke (2006). The study was guided by Diffusion of Innovations Theory (Rogers, 2003; Garcia-Avilés, 2020) and Social Learning Theory (Bandura, 2010). Findings show that media significantly enhances awareness and shapes perceptions of climate change. However, this awareness does not consistently translate into behavioral change. Perceptions remained moderate and often neutral, suggesting that information is received but not fully internalised. Behavioral change was statistically significant but practically moderate and uneven, occurring most where information was actionable and locally relevant. Livelihood impacts were indirect and constrained by structural factors, including limited resources, infrastructure, and economic capacity. The study concludes that media-driven climate communication is necessary but insufficient. Its effectiveness depends on the interaction between communication quality, contextual relevance, and enabling socio-economic conditions. The study recommends a shift toward localized, participatory, and action-oriented communication strategies supported by multi-stakeholder collaboration and structural interventions.
Keywords
Climate Communication; Media Influence; Behaviour Change; Livelihoods
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References
1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T [Google Scholar] [Crossref]
2. Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14–25. https://doi.org/10.1016/j.jenvp.2006.12.002 [Google Scholar] [Crossref]
3. Banda, F. (2020). Media systems and journalism in Zambia. In C. Mano & W. Willems (Eds.), Everyday media culture in Africa (pp. 112–134). Routledge. [Google Scholar] [Crossref]
4. Bandura, A. (2010). Social learning theory. Prentice Hall. [Google Scholar] [Crossref]
5. Boykoff, M. T. (2011). Who speaks for the climate? Making sense of media reporting on climate change. Cambridge University Press. [Google Scholar] [Crossref]
6. Boykoff, M. T., & Boykoff, J. M. (2007). Climate change and journalistic norms: A case-study of US mass-media coverage. Geoforum, 38(6), 1190–1204. https://doi.org/10.1016/j.geoforum.2007.01.008 [Google Scholar] [Crossref]
7. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa [Google Scholar] [Crossref]
8. Brulle, R. J., Carmichael, J., & Jenkins, J. C. (2012). Shifting public opinion on climate change: An empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010. Climatic Change, 114(2), 169–188. https://doi.org/10.1007/s10584-012-0403-y [Google Scholar] [Crossref]
9. Central Statistical Office (CSO). (2020). Zambia 2020 census of population and housing: Preliminary report. Government of the Republic of Zambia. [Google Scholar] [Crossref]
10. Chanda, R., Simasiku, N., & Mbewe, C. (2021). Radio and climate adaptation in Southern Province: Localizing the message. Zambia Journal of Agricultural Development, 14(3), 45–62. [Google Scholar] [Crossref]
11. Cook, J., Lewandowsky, S., & Ecker, U. K. H. (2017). Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence. PLOS ONE, 12(5), e0175799. https://doi.org/10.1371/journal.pone.0175799 [Google Scholar] [Crossref]
12. Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE Publications. [Google Scholar] [Crossref]
13. Department for International Development (DFID). (1999). Sustainable livelihoods guidance sheets. DFID. [Google Scholar] [Crossref]
14. Elia, A. (2014). Climate communication in developing countries. Environmental Communication Review, 8(2), 23–41. [Google Scholar] [Crossref]
15. Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x [Google Scholar] [Crossref]
16. Garcia-Avilés, J. A. (2020). Diffusion of innovations in digital media. Routledge. [Google Scholar] [Crossref]
17. Intergovernmental Panel on Climate Change (IPCC). (2021). Climate change 2021: The physical science basis. Cambridge University Press. https://doi.org/10.1017/9781009157896 [Google Scholar] [Crossref]
18. Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the 'post-truth' era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. https://doi.org/10.1016/j.jarmac.2017.07.008 [Google Scholar] [Crossref]
19. Lowe Morna, C., & Mwangi, P. (2020). Media credibility and trust in Southern Africa: A regional survey. Gender Links. [Google Scholar] [Crossref]
20. McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. https://doi.org/10.1086/267990 [Google Scholar] [Crossref]
21. Media Institute of Southern Africa (MISA). (2023). Zambia media landscape report 2023. MISA Zambia. [Google Scholar] [Crossref]
22. Mfula, C., & Zulu, M. (2019). Community radio and climate change communication among smallholder farmers in Zambia. African Communication Research, 12(1), 22–41. [Google Scholar] [Crossref]
23. Ministry of Green Economy and Environment. (2022). Zambia's sixth national communication to the UNFCCC. Republic of Zambia. [Google Scholar] [Crossref]
24. Moser, S. C. (2010). Communicating climate change: History, challenges, process and future directions. WIREs Climate Change, 1(1), 31–53. https://doi.org/10.1002/wcc.11 [Google Scholar] [Crossref]
25. Mwansa, K., & Banda, G. (2023). Media literacy, climate awareness, and behavioral intent among urban Lusaka residents. Zambia Journal of Communication Studies, 8(2), 14–33. [Google Scholar] [Crossref]
26. Nisbet, M. C. (2009). Communicating climate change: Why frames matter for public engagement. Environment: Science and Policy for Sustainable Development, 51(2), 12–23. https://doi.org/10.3200/ENVT.51.2.12-23 [Google Scholar] [Crossref]
27. O'Neill, S., & Nicholson-Cole, S. (2009). 'Fear won't do it': Promoting positive engagement with climate change through visual and iconic representations. Science Communication, 30(3), 355–379. https://doi.org/10.1177/1075547008329201 [Google Scholar] [Crossref]
28. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]
29. Sturgis, P., & Allum, N. (2004). Science in society: Re-evaluating the deficit model of public attitudes. Public Understanding of Science, 13(1), 55–74. https://doi.org/10.1177/0963662504042690 [Google Scholar] [Crossref]
30. UNDP Zambia. (2021). Climate change and development: Zambia national adaptation plan. United Nations Development Programme. [Google Scholar] [Crossref]
31. Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row. [Google Scholar] [Crossref]
32. Zambia Meteorological Department. (2022). Annual climate report 2021–2022. Ministry of Transport and Logistics, Republic of Zambia. [Google Scholar] [Crossref]
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