Determinants of the Adoption of Climate-Smart Agricultural Technologies in Tala Upazila, Bangladesh
Climate-resilient agri-farming practices are essential for achieving sustainable agriculture in response to climate change in Bangladesh. Accordingly, this study aims to examine the factors influencing the adoption of climate-smart agriculture (CSA) practices among paddy farmers in Tala Upazila, Satkhira, Bangladesh. Using a structured questionnaire and a convenience sampling method, data were collected from 120 paddy farmers. A binary logistic regression model was employed to estimate the factors influencing CSA adoption. The results of the regression analysis indicate that farmers’ age, off-farm income, farm size, access to extension services, and financial inclusion significantly affect decisions to adopt CSA technologies. Specifically, younger farmers, those with secondary income sources, those with access to agricultural extension services, and farmers with larger landholdings are more likely to adopt CSA practices. Conversely, financial inclusion appears to reduce the likelihood of adopting CSA technologies. The study suggests that promoting economic diversification through supplementary income sources, enhancing agricultural extension support for smallholder farmers, and providing targeted training programs are critical for encouraging CSA adoption. Additionally, targeted policies for older farmers, financial incentives, and improved rural infrastructure can further support CSA uptake in Bangladesh.
Authors
- Mashrat Jahan (ORCID: https://orcid.org/0000-0002-0939-2202)
- Pallab Sarker (ORCID: https://orcid.org/0000-0003-2388-4155)
- Sabrina Akter
- Md. Asraful Islam (ORCID: https://orcid.org/0000-0002-8070-6286)
Institutions
- Khulna University (BD)
- Rabindra Bharati University (IN)
Publication Details
- Journal
- Asian Review of Social Sciences
- Published
- 2025-03-27
- DOI
- https://doi.org/10.70112/arss-2025.14.1.4310
- Primary Topic
- COVID-19 impact on air quality
- Type
- article
- Field-Weighted Citation Impact
- 0.00