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Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: Does planting method matter?
Environment and Climate Research Center (ECRC), Policy Studies Institute (PSI), Addis Abeba, Ethiopia.
Environment and Climate Research Center (ECRC), Policy Studies Institute (PSI), Addis Abeba, Ethiopia.
2018 (English)Report (Other academic)
Abstract [en]

The purpose of this study is to provide empirical evidence on the impact of a climate-smart agricultural practice (row planting) on the welfare of rural households. Data collected from 260 households in the North Wollo Zone of Ethiopia were analyzed using Propensity Score Matching (PSM) and a semi-parametric Local Instrumental Variable (LIV) version of the generalized Roy model. The results from the PSM revealed that adoption of row planting technology has a positive and significant impact on per capita consumption and on crop income per hectare. Covariates are well balanced and the effect of unobserved selection bias on the impact estimate is insignificant, indicating that the estimates are largely the effect of row planting. Similarly, the semi-parametric LIV model suggests that average treatment effect is positive and significant for crop income. Marginal benefit of row planting is increasing with higher propensity of the farmer to adopt this practice. Therefore, scaling up the technology will significantly contribute to farmers’ resilience against the adverse effects of climate change through enhancing household’s income and food security.

Place, publisher, year, edition, pages
2018. , p. 18
Series
Environment for Development: Discussion Paper Series ; EfD DP 18-08
Keywords [en]
row planting; Quncho Teff; Propensity Score Matching; semi-parametric LIV model
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-46486OAI: oai:DiVA.org:hj-46486DiVA, id: diva2:1358059
Available from: 2019-10-07 Created: 2019-10-07 Last updated: 2019-10-07Bibliographically approved

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CiteExportLink to record
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  • apa
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  • en-US
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  • Other locale
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Output format
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  • text
  • asciidoc
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