Socioeconomic Determinants of Banana Farmers’ Perception to Climate Change in Nyeri County, Kenya


  • David Karienye Department of Geography, Garissa University, P.O. Box 1801-70100, Garissa, Kenya
  • Nduru Gilbert School of Natural Resources and Environmental Studies, Karatina University, P.O. Box 1957-10101, Karatina, Kenya.
  • Kamiri Hellen School of Agriculture and Biotechnology, Karatina University, P.O. Box 1957-10101, Karatina, Kenya.



Banana, Climate change, Perception, Socio-economic.


This study examined the perception of banana farmers in Mt. Kenya region of Kenya (Nyeri County) on climate change and assessed the socio-economic factors that determines their perceptions. Triangulation research design was used to guide the study by integrating both qualitative and quantitative methods in data collection and analysis. The sites were purposively selected to include Mukurweini sub-county where banana production has been practiced since 1980. A sample size of 130 respondents were sampled. Simple random sampling was used to select the participating respondents. Field survey techniques were used in the collection of data which was analysed using the SPSS v21. Results showed that about 78.2% of the respondents perceived unpredictable rainfall and increased temperature, while 21.5% perceived no change in rainfall and temperature over the last 20 to 30 years period. Majority (79%), of the farmers highly perceived climate to have changed over the years while 53.5% of the respondents in the study area understood climate change as occurrence of unpredictable rainfall. Perceived effect of high rainfall on banana marketing and trading was reported as low market prices (48.5%), while during low rains (dry seasons) was high market demands with (56.2%). Logit model was used to determine the socioeconomic factors influencing farmers perception and was significant at p<0.001 and correctly predicted 83.5% of both those who perceived and those who never perceived changes in rainfall and temperature in the last 20 to 30 years. Results of the logit model analysis showed that the gender of household head, farming system, type of farming and access to weather information influenced banana farmers perception towards climate change. About 47.7% recommended provision of weather information on the onset of the rainfall period while 49.2% preferred information on rainfall distribution within the seasons in order to respond to climate change issues. This has implications on policy makers in the formulation and integration of the policies on development of climate information.




Abid, M. A., Scheffran, J., Schneider, U. A., & Ashfaq, M. (2015). Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan. Earth System Dynamics, 6(1): 225-243

Adger, N., et al (2009). Are there social limits to adaptation to climate change. Climatic Change 93:335–354

Ali, A., and Erenstein, O., (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan, Climate Risk Management 16: 183– 194

Asfaw, A., and Admassie A., (2004). The role of education on the adoption of chemical fertilizer under different socioeconomic environments in Ethiopia. Agricultural Economics, 30 (3): 215-228

Below, T. B., et al (2012). Can farmers’ adaptation to climate change be explained by socio-economic household-level variables. Global Environmental Change, 22(1):223-235

Bryan, E., Ringler, C., Okoba, B., Roncoli, C., Silvestri, S., Herrero, M., (2013) Adapting agriculture to climate change in Kenya: household strategies and determinants. Journal of Environment Manaementg. 114: 26–35

Chung, E; Shiru, M.S; Shahid, S; Alias, N. (2018) Trend Analysis of Droughts during Crop Growing Seasons of Nigeria. Sustainability,10: 871 -884

Cooper, P. M., and Coe, R. (2011). Assessing and addressing climate-induced risk in sub-Saharan rainfed agriculture. Experimental Agriculture, 47 (2):179–184

Deressa, T. T., Hassan, R. M., nd Ringler, C., (2011). Perception of and adaptation to climate change by farmers in the Nile basin of Ethiopia. The Journal of Agricultural Science, 149(1): 23-31

Ezenwa, L., Ezenwa, P., Ubuoh, E., & Nnamerenwa, G., (2018). Effects of climatic variability on livelihood choices among rural populace in Baringo County, Kenya and Jigawa State, Nigeria. Journal of Research in Forestry, Wildlife and Environment, 10(4): 55-70

GOK (2013). National Climate Change Action Plan (NACCP) 2007-2013. Retrieved from www. on 7th June 2018

GOK, (2009). Kenya Population and Housing Census (KPHC). Government of Kenya, Kenya National Bureau of Statistics, Nairobi

Grothmann T., and Patt, A., (2005) Adaptive capacity and human cognition: The process of individual adaptation to climate change. Glob Environ Change 15:199–213, doi: 10.1016/j.gloenvcha.2005.01.002

Jaetzold, R., Schmidt, H., Hornetz, B., and Shisanya, C., (2006). Farm Management Handbook of Kenya, Revised Edition Vol. II, Natural Conditions and Farm Management Information, Ministry of Agriculture / The German Agency for Technical Cooperation, Nairobi.

Krejcie, R. V., and Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3):607-610

Maddison, D. (2007), The perception of and adaptation to climate change in Africa. World Bank Policy Research Working Paper, World Bank, Washington DC

Mertz, O., Mbow, C., Reenberg, A., and Diouf, A., (2009). Farmers’ perceptions of climate change and agricultural adaptation strategies in rural Sahel. Environmental management, 43(5): 804-816

Ministry of Agriculture (2016) Climate Risk Profile for Meru. Kenya County Climate Risk Profile Series. The International Center for Tropical Agriculture (CIAT) and the Kenya Ministry of Agriculture, Livestock and Fisheries (MoALF), Nairobi, Kenya

Morton, J. F., (2007). The impact of climate change on smallholder and subsistence agriculture. Proceedings of the national academy of sciences, 104(50):19680-19685

Nhemachena, C., and Hassan, R. (2007). Micro-level analysis of farmers’ adaptation to climate change in Southern Africa. IFPRI Discussion Paper No. 00714. International Food Policy Research Institute. Washington, DC

Ochieng, J. and Mathenge, L.K.M (2016) Effects of climate variability and change on agricultural production: the case of small-scale farmers in Kenya. Wageningen Journal of Life Sciences, 77: 71-78

Ogutu, J. O., Piepho, H., Dublin, H., Bhola, N., and Reid R. S., (2008). El Niño‐Southern Oscillation, rainfall, temperature and Normalized Difference Vegetation Index fluctuations in the Mara‐Serengeti ecosystem. African Journal of Ecology 46(2): 132-143

Olesen, J. E et al, F. (2011). Impacts and adaptation of European crop production systems to climate change. European Journal of Agronomy, 34(2): 96-112

Pauw, P., (2013). The role of perception in subsistence farmer adaptation in Africa-enriching the climate finance debate. International Journal of Climate Change Strategies and Management 5(3):3

Recha, J.W., Mati, B.M., Nyasimi, M., Kimeli, P.K., Kinyangi, J., and Radeny, M., (2016). Changing rainfall patterns and farmers’ adaptation through soil water management practices in semi-arid eastern Kenya, Arid Land Research and Management, 30(3):229-238.

Saarinen, T.F. (1976). Environmental Planning: Perception and Behavior. Houghton Mifflin Company, Boston

Schmidhuber, J., and Tubiello, F. N., (2007). Global food security under climate change. Proceedings of the National Academy of Sciences, 104(50): 19703-19708

Uddin, M.N., Bokelmann, W. and Dunn, E.S. (2017) Determinants of Farmers Perception of Climate Change: A Case Study from the Coastal Region of Bangladesh. American Journal of Climate Change, 6: 151-165

Van den Ban, A.W., and Hawkins, H.S., (2000) Agricultural Extension. 2nd Edition, Blackwell Science, UK.







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