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Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching

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  • Alexis Habiyaremye

Abstract

The adoption of an agricultural technology is often seen as a way to overcome the constraints imposed by the existing resources and/or production methods. As a small landlocked country, Rwanda sought to develop the capability to produce silk, a high value-to-volume ratio product, as a means to overcome the constraints of high transportation cost of exports. Sericulture was also seen as a handy strategy to boost rural farmer income by putting previously less productive land to use for mulberry plantations. Because sericulture was not introduced randomly, this study relied on observational data and applied propensity score matching to estimate its income and poverty reduction effects in six rural districts. The results indicate that sericulture adoption had beneficial effects both on increasing income and reducing poverty. The strengthening of related skills development and the supporting infrastructure remains crucial for the sericulture to successfully diffuse and yield economic benefits commensurate with its potential.

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  • Alexis Habiyaremye, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 296-311, July.
    • Handle: RePEc:taf:ragrxx:v:56:y:2017:i:3:p:296-311
    DOI: 10.1080/03031853.2017.1361853
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    2. Gamel Abdul-Nasser Salifu, 2019. "The Political Economy Dynamics of Rural Household Income Diversification: A Review of the International Literature," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 273-290, December.
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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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