Determinants of adoption of climate-smart agriculture technologies in rice production in Vietnam
Open accessAbstract
Purpose In recent years, climate-smart agriculture (CSA) was introduced to Vietnam to enhance farmers’ resilience and adaptation to climate change. Among the climate-smart agricultural technologies (CSATs) introduced were water-saving techniques and improved stress tolerant varieties. This study aims to examine the determinants of farmers’ adoption of these technologies and the effects of their adoption on net rice income (NRI) in three provinces as follows: Thai Binh (North), Ha Tinh (Central) and Bac Lieu (South). Design/methodology/approach Determinants of adoption of CSATs and the adoption effects on NRI are analyzed by using a multinomial endogenous switching regression framework. Findings The results showed that gender, age, number of family workers, climate-related factors, farm characteristics, distance to markets, access to climate information, confidence on the know-how of extension workers, membership in social/agricultural groups and attitude toward risk were the major factors affecting the decision to adopt CSATs. However, the effects of these factors on the adoption of CSATs varied across three provinces. These technologies when adopted tend to increase NRI but the increase is much greater when these are combined. Practical implications It is important to consider first the appropriateness of the CSA packages to the specific conditions of the target areas before they are promoted. It is also necessary to enhance the technical capacity of local extension workers and provide farmers more training on CSATs. Originality/value This study is the first attempt to identify key determinants of adoption of CSATs either singly or in combination and the adoption effects on NRI in Vietnam.
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AI may be used in multiple ways to increase adaptation to climate change, to the same extent that climate-smart technologies do.
“AI may be used in multiple ways to increase adaptation to climate change, to the same extent that climate-smart technologies do (Tran et al., 2020).”
From Deploying artificial intelligence for climate change adaptation (2022) · cites this paper as Tran et al., 2020
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References 52 · Cited by 120
- Authors
- Tran, N. L. D., Rañola, Ole Sander, B., Reiner, W., Nguyen, D. T., & Nong, N. K. N.
- Affiliations
- Vietnam National University, Hanoi (VN)
- University of the Philippines Los Baños (PH)
- VNU University of Economics and Business (VN)
- Corresponding author
- Tran, Nhat Lam Duyen
- ORCID
- Rañola,, Roberto F.
- Venue
- International Journal of Climate Change Strategies and Management
- Publisher
- Emerald
- Published
- 2019-12-16
- Volume
- 12
- Issue
- 2
- Pages
- 238-256
- ISSN
- 1756-8692 (ISSN-L)
- OpenAlex
- W2996018999
- Cited by
- 120
- References
- 52
- Citations by year
- 2026: 31 · 2025: 20 · 2024: 19 · 2023: 20 · 2022: 15 · 2021: 7 · 2020: 7
- FWCI
- 15.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Climate Change Strategies and Management (publishedVersion, cc-by)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion, cc-by)
- Greater South Information System
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Development and Management
- Keywords
- climate-smart agriculture, technology adoption, rice production, water-saving measures, stress-tolerant rice varieties, farmer decision factors, agricultural extension workers, climate data access, risk preferences, climate change adaptation, Vietnam
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