Impact of Non-Farm Enterprises on Household Poverty Status: A Propensity Score Matching Approach

John Bosco Asiimwe, Steven Katende, Claire Ashaba

Research output: Contribution to journalArticlepeer-review

Abstract

The study evaluates the impact of Non-Farm Enterprises (NFEs) on household poverty status in Uganda, using 2016/17 and 2019/20 National Household Surveys’ data. Using Propensity Score Matching and Quasi-binomial Generalized Linear Model, the results indicate that participation in NFEs significantly reduces poverty incidence, with participating households being 8% and 6% likely to be non-poor in 2016/17 and 2019/20, respectively. Additionally, NFE income enhanced expenditures and upward-income mobility, with rural and low-income households benefiting more. However, regional disparities persist, particularly in disadvantaged districts. Findings highlight the critical role of NFEs in diversifying income sources and improving well-being and thus strategic to poverty reduction.

Original languageEnglish (UK)
JournalJournal of Poverty
DOIs
Publication statusAccepted/In press - 2025
Externally publishedYes

Keywords

  • Non-farm enterprises
  • poverty reduction
  • propensity score matching
  • Quasi-binomial GLM

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