Abstract
This study analyses farmers’ adoption of improved rice technology, taking into account farmers’ risk preferences; the unobserved spatial heterogeneity associated with farmers’ risk preferences; farmers’ household and farm characteristics; farm locations, farmers’ access to information, and their perceptions on the rice improved varieties (i.e., high yield varieties, HYV). The study used data obtained from field experiments and a survey conducted in 2016 in Nigeria. An instrumental-variable probit model was estimated to account for potential endogenous farmers’ risk preference in the adoption decision model. Results show that risk averse (risk avoidant) farmers are less likely to adopt HYV, with the spatial lags of farmers’ risk attitudes found to be a good instrument for spatially unobserved variables (e.g., environmental and climatic factors). We conclude that studies supporting policy action aiming at the diffusion of improved rice varieties need to collect information, if possible, on farmers’ risk attitudes, local environmental and climatic conditions (e.g., climatic, topographic, soil quality, pest incidence) in order to ease the design and evaluation of policy actions on the adoption of improved agricultural technology.
| Original language | English |
|---|---|
| Article number | 691 |
| Number of pages | 13 |
| Journal | Agriculture (Switzerland) |
| Volume | 11 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 22 Jul 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 2 Zero Hunger
Keywords
- Agricultural technology
- Endogenous variable
- Farmer’s technology adoption
- Risk attitudes
- Risk panel lottery
- Spatial dependence
- Unobserved heterogeneity
Fingerprint
Dive into the research topics of 'Improved rice technology adoption: The role of spatially-dependent risk preference'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver