Do Community Capitals Influence Climate Adaptation? Critique of Financial, Physical, Human and Social Capital in the Adoption of Climate Smart Agriculture Technologies among Smallholder Farming Community in Lamu County, Kenya

Authors

  • Walter Jabali Jilani PhD Student, School of Environmental and Earth Sciences, Pwani University
  • Prof. Annie Hilda Ong’ayo Lecturer, School of Environmental and Earth Sciences, Pwani University
  • Dr. Andrew W. Wamukota Lecturer, School of Environmental and Earth Sciences, Pwani University

DOI:

https://doi.org/10.47672/ajes.2112

Abstract

Purpose: This study aimed to establish a framework for testing the community capitals theory and assessing the empirical significance of financial, physical, human, and social capital in the adoption of climate-smart agriculture technologies.

Materials and Methods: Data was collected through semi-structured questionnaires administered to 256 randomly selected household heads. An ordinal logistic regression model was employed to analyze the significance of community capitals in climate-smart agriculture adoption. The data is presented in tables.

Findings: The results revealed several important findings. Access to finance has a significant positive association with Climate-Smart Agriculture adoption (P<0.001, OR=3.23). Input subsidies are also significantly positively associated with Climate-Smart Agriculture adoption (P=0.001, OR=3.66). Training shows a significant positive association with Climate-Smart Agriculture adoption (P<0.007, OR=2.03). Labor has a highly significant and positive relationship with Climate-Smart Agriculture adoption (P=0.001, OR=8.97). Interaction positively and significantly correlates with higher levels of Climate-Smart Agriculture adoption (P=0.021, OR=4.04). Additionally, empowerment demonstrates a significant positive association with Climate-Smart Agriculture adoption (P=0.006, OR=2.96). Notably, the model challenged the conventional view of finance and labor as independent determinants for climate-smart agriculture adoption, instead positioning them within a social context.

Implications to Theory, Practice and Policy: The study suggests that climate action programs should prioritize social ties over investments in financial, physical, or human interventions to enhance climate-smart agriculture adoption and promote resilience. Lastly, combining the Community Capital Framework with Social Capital Theory offers a more detailed understanding of the factors influencing Climate-Smart Agriculture adoption, emphasizing the interaction between various types of capital and social dynamics.

Downloads

Download data is not yet available.

References

Ahmed, M. H., & Mesfin, H. M. (2017). The impact of agricultural cooperatives membership on the wellbeing of smallholder farmers: Empirical evidence from eastern Ethiopia. Agricultural and Food Economics, 5(1), 6. https://doi.org/10.1186/s40100-017-0075-z

Akrofi-Atitianti, F., Chinwe, I., Bockel, L., & Asare, R. (2018). Assessing Climate Smart Agriculture and Its Determinants of Practice in Ghana: A Case of the Cocoa Production System. Land, 7(30), 1–21. https://doi.org/10.3390/land7010030

Azumah, S. B. (2020). Modelling the Determinants of Adoption of multiple Climate Change coping and Adaptation Strategies. A Micro Analysis of Smallholder Farmers in Northern Ghana. Review of Agricultural and Applied Economics, 23(1), 30–37. https://doi.org/10.15414/raae.2020.23.01.30-37

Balew, S., Agwata, J., & Anyango, S. (2014). Determinants of Adoption Choices of Climate Change Adaptation Strategies in Crop Production by Small Scale Farmers in Some Regions of Central Ethiopia. 4(4).

Collins-Sowah, A., Adjin, C., Henning, & Christian, A. (2019). Complementary impact of social capital on the adoption of productivity enhancing technologies: Evidence from Senegal (p. 34). Kiel University, Department of Agricultural Economics.

County Government of Lamu. (2018). Lamu County Integrated Development Plan September 2018-2022 (p. 353).

FAO. (2014). FAO success stories on climate-smart agriculture. In Fao (p. 28).

FAO. (2017). The future of food and agriculture: Trends and challenges. In Food and Agriculture Organization of the United Nations (Vol. 4, Issue 4, p. 180). Food and Agriculture Organization.

Fey, S., Bregendahl, C., & Flora, C. (2006). The Measure of Community Capitals through Research: A Study Conducted for the Claude Worthington Benedum Foundation by the North Central Regional Center for Rural Development. The Online Journal of Rural Research and Policy, 1, 1–28. https://doi.org/10.4148/ojrrp.v1i1.29

Flora, C., & Emery, M. (2006). Mapping Community Transformation with Community Capitals Framework. (Issue 509, pp. 1–2). Washington States University Extension.

Gebremariam, Y. A., Dessein, J., Wondimagegnhu, B. A., Breusers, M., Lenaerts, L., Adgo, E., Ayalew, Z., Minale, A. S., & Nyssen, J. (2021). Determinants of Farmers’ Level of Interaction with Agricultural Extension Agencies in Northwest Ethiopia. Sustainability, 13(6), Article 6. https://doi.org/10.3390/su13063447

Gikonyo, N. W., Busienei, J. R., Gathiaka, J. K., & Karuku, G. N. (2022). Analysis of household savings and adoption of climate smart agricultural technologies. Evidence from smallholder farmers in Nyando Basin, Kenya. Heliyon, 8(6), e09692. https://doi.org/10.1016/j.heliyon.2022.e09692

Han, M., Liu, R., Ma, H., Zhong, K., Wang, J., & Xu, Y. (2022). The Impact of Social Capital on Farmers’ Willingness to Adopt New Agricultural Technologies: Empirical Evidence from China. Agriculture, 12, 1368. https://doi.org/10.3390/agriculture12091368

IISD. (2014). A Reporting Service for Environment and Development Negotiations. IISD Earth Negotiations Bulletin. http://enb.iisd.org/united-arab-emirates-climate-change-conference-cop28-summary

Jayne, T. S., Sitko, N. J., Mason, N. M., & Skole, D. (2018). Identifying Strategies to Enhance the Resilience of Smallholder Farming Systems: Evidence from Zambia. Natural Resource Management and Policy, 52, 425–441. https://doi.org/10.1007/978-3-319-61194-5

Komarek, A., Thurlow, J., De Pinto, A., Koo, J., & Kwon, H. (2018). Economy-wide effects of climate-smart agriculture in Ethiopia Economy-wide effects of climate-smart agriculture in Ethiopia Abstract (pp. 1–29).

Lamm, K. W., Borron, A., & Atkins, K. (2020). The Community Diagnostics and Social Impact Toolkit: Development and Validation of a Reliable Measure. Journal of Agricultural Education, 61(4), 249–265. https://doi.org/10.5032/jae.2020.04249

Nahhas, R. W. (2023). Introduction to Regression Methods for Public Health Using R. https://www.bookdown.org/rwnahhas/RMPH/

Nato, G., Shauri, H., & Kadere, T. (2016). Influence of Social Capital on Adoption of Agricultural Production Technologies Among Beneficiaries of African Institute for Capacity Development Training Programmes in Kenya. International Journal of Social Science and Technology, 1(1), 2415–6566.

Ouédraogo, M., Houessionon, P., Zougmoré, R. B., & Partey, S. T. (2019). Uptake of Climate-Smart Agricultural Technologies and Practices: Actual and Potential Adoption Rates in the Climate-Smart Village Site of Mali. Sustainability, 11(17), Article 17. https://doi.org/10.3390/su11174710

Pigg, K., Gasteyer, S. P., Martin, K. E., Keating, K., & Apaliyah, G. P. (2013). The Community Capitals Framework: An empirical examination of internal relationships. Community Development, 44(4), 492–502. https://doi.org/10.1080/15575330.2013.814698

Raquel, T., Leuven, A., & Shane, R. (2023). The role of community capital in rural renewal. Local Development & Society, 1–20. https://doi.org/10.1080/26883597.2023.2258453

Sarwono, J. (2022). Quantitative, Qualitative and Mixed Method Research Methodology. Amazon. https://libguides.newcastle.edu.au/researchmethods 2021

Sengupta, T. (1967). A simple adoption scale for selection of farmers for high yielding varieties programme on rice. Indian Journal of Extension Education, 3, 107–115.

Serote, B., Mokgehle, S., Du Plooy, C., Mpandeli, S., Nhamo, L., & Senyolo, G. (2021). Factors Influencing the Adoption of Climate-Smart Irrigation Technologies for Sustainable Crop Productivity by Smallholder Farmers in Arid Areas of South Africa. Agriculture, 11(12), 1222. https://doi.org/10.3390/agriculture11121222

Wekesa, B. M., Ayuya, O. I., & Lagat, J. K. (2018). Effect of climate-smart agricultural practices on household food security in smallholder production systems: Micro-level evidence from Kenya. Agriculture and Food Security, 7(1), 1–14. https://doi.org/10.1186/s40066-018-0230-0

Williams, R. (2016). Understanding and interpreting generalized ordered logit models. The Journal of Mathematical Sociology, 40(1), 7–20. https://doi.org/10.1080/0022250X.2015.1112384

Yamane, T. (1967). Statistics: An Introductory Analysis. Harper and Row.

Yvonne, M., Ouma, G., Olago, D., & Opondo, M. (2020). Trends in climate variables (Temperature and rainfall) and local perceptions of climate change in Lamu, Kenya. Geography, Environment, Sustainability, 13(3), 102–109. https://doi.org/10.24057/2071-9388-2020-24

Zakaria, A., Azumah, S. B., Appiah-Twumasi, M., & Dagunga, G. (2020). Adoption of climate-smart agricultural practices among farm households in Ghana: The role of farmer participation in training programmes. Technology in Society, 63, 101338. https://doi.org/10.1016/j.techsoc.2020.101338

Downloads

Published

2024-06-24

How to Cite

Jilani, W. J., Ong’ayo, P. A. H., & Wamukota, D. A. W. (2024). Do Community Capitals Influence Climate Adaptation? Critique of Financial, Physical, Human and Social Capital in the Adoption of Climate Smart Agriculture Technologies among Smallholder Farming Community in Lamu County, Kenya. American Journal of Environment Studies, 7(3), 39–58. https://doi.org/10.47672/ajes.2112

Issue

Section

Articles