Перейти к основному содержанию

page search

Library Assessing the benefits of green super rice in sub-Saharan Africa: Evidence from Mozambique

Assessing the benefits of green super rice in sub-Saharan Africa: Evidence from Mozambique

Assessing the benefits of green super rice in sub-Saharan Africa: Evidence from Mozambique

Resource information

Date of publication
декабря 2021
Resource Language
ISBN / Resource ID
LP-CG-20-23-2368

In Mozambique, smallholder farmers commonly grow rice under rainfed systems with limited fertilizer
application; thus, productivity remains very low. Moreover, the adoption rate of improved rice varieties
is as low as 3 per cent, partly because these varieties usually require an irrigated environment with
the use of fertilizer. Green super rice (GSR) varieties are expected to sustain high yield potential under
severe stress conditions. This article used farm-level survey data collected in Mozambique to assess
the benefits of the adoption of a GSR variety (Simão) on the yield and cost efficiency of smallholder rice
producers. The econometric approach involves propensity score matching and a simultaneous equation model with endogenous switching regression to account for observable and unobservable factors
that affect adoption and outcome variables. The results indicate positive and significant benefits from
adopting GSR on rice yield and cost efficiency for adopters. These benefits are observed not only in
irrigated environments where fertilizer is applied together with some more advanced farming practices
(i.e. Gaza province), but also in Nampula and Sofala provinces where farmers grow rice under rainfed
conditions with no fertilizer application. Our findings suggest that GSR varieties have the potential to
bring some positive changes in the development of rice production in Mozambique.

Share on RLBI navigator
NO

Authors and Publishers

Author(s), editor(s), contributor(s)

Kodama, Wataru , Pede, Valerien O. , Mishra, Ashok K. , Cuevas, Rosa Paula O. , Ndayiragije, Alexis , Cabrera, Ellanie R. , Langa, Marcos , Ali, Jauhar

Data Provider
Geographical focus