Climate change perception and system of rice intensification (SRI) in Tanzania: A moment approximation approach
Reducing risks and building resilience: environment and climate change, insurance, conflict (land, water)
- Mare Sarr
This article assesses the impact of the recent adoption of the system of rice intensification (SRI) in the Morogoro region of Tanzania, one of the largest Semi-Arid regions in the country, using household and farm plot level data extended to incorporate farmers’ perceptions of climate change. The analysis implements a moment approximation approach that accounts for the impacts of the technology on the first three moments (mean, variance and skewness) of rice yields and household income. Using an endogenous switching regressions model, we find that perception of climate change is a key driver for SRI adoption, and impacts primarily the moments of income. Furthermore, the average effect of SRI on income variability and skewness are positive. However, the large increase in variability is not compensated for by the increase in skewness (reduction in downside risk), which may explain why SRI adoption rates remain low in Tanzania. The study also highlights the importance of climate perceptions and moisture-conserving technology in risk management in Semi-Arid areas.