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Reading tealeaves on the potential impact of the privatization of tea estates in Rwanda

Author

Listed:
  • Essama-Nssah, B.
  • Ezemenari, Kene
  • Korman, Vijdan

Abstract

The Poverty Reduction Strategy of the Government of Rwanda seeks to unlock the growth and poverty reduction potential of the tea sector through the privatization of tea estates. This paper uses the logic of causal inference and data from the 2004 Quantitative Baseline Survey of the tea sector to assess the potential impact of the privatization program. This entails anormalized comparison of productivity outcomes to account for household heterogeneity in terms of observable and non-observable determinants of these outcomes. The paper also compares living standards between tea and non-tea households. Three main findings emerge from the analysis. Productivity outcomes are generally better in the private sector than in the public sector. Male-headed households outperform female-headed households along all dimensions considered here. And tea households tend to be better off than non-tea households.

Suggested Citation

  • Essama-Nssah, B. & Ezemenari, Kene & Korman, Vijdan, 2008. "Reading tealeaves on the potential impact of the privatization of tea estates in Rwanda," Policy Research Working Paper Series 4566, The World Bank.
    • Handle: RePEc:wbk:wbrwps:4566
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    Cited by:

    1. Bravo-Ureta, Boris E. & de Almeida, Alexandre & Solis, Daniel & Inestroza, Aaron, 2010. "A Farm Level Analysis of the Economic Impact of the MARENA Program in Honduras," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 55658, Southern Agricultural Economics Association.
    2. Kabayiza, Alexis & Owuor, George & Langat, K.J. & Mugenzi, Patrice & Niyitanga, Fidèle, 2021. "Determinants and Effect Evaluation of Credits on the Farm Outcome - a Micro-Perspective of Tea Production from Rwanda," 2021 Conference, August 17-31, 2021, Virtual 315091, International Association of Agricultural Economists.

    More about this item

    Keywords

    Crops&Crop Management Systems; Access to Finance; Poverty Monitoring&Analysis; Small Area Estimation Poverty Mapping; Housing&Human Habitats;
    All these keywords.

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