Search Results - Tiaret~

  1. Understanding farm typology for targeting agricultural development in mixed crop-livestock farming systems of Ethiopia by Eshetae, Meron Awoke, Wuletawu, Abera, Tamene, Lulseged D., Mulatu, Kalkidan, Tesfaye, Abonesh

    Published 2023
    “…Capturing the heterogeneity of farming systems through farm typology is essential for targeting agricultural interventions in a mixed crop-livestock farming system. …”
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    Manuscript-unpublished
  2. ‘Joy, not sorrow’: Men's perspectives on gender, violence, and cash transfers targeted to women in northern Ghana by Pereira, Audrey, Akaligaung, Akalpa J., Aborigo, Raymond, Peterman, Amber, Palermo, Tia, Barrington, Clare

    Published 2023
    “…We elicited men's perceptions of poverty, relationship dynamics, IPV and cash transfers targeted to their wives using thematic analysis. Men largely viewed the effects of the cash transfer as positive – they felt decreased provider role strain when women used the cash to cover household expenses such as food and school fees. …”
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    Journal Article
  3. Expanding social protection coverage with humanitarian aid: Lessons on targeting and transfer values from Ethiopia by Sabates-Wheeler, Rachel, Hirvonen, Kalle, Lind, Jeremy, Hoddinott, John F.

    Published 2021
    “…HFA, while delivered through PSNP systems, was targeted to households that were acutely vulnerable. …”
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    Artículo preliminar
  4. Targeting, bias, and expected impact of complex innovations on developing-country agriculture: Evidence from Malawi by Haile, Beliyou, Azzarri, Carlo, Roberts, Cleo, Spielman, David J.

    Published 2015
    “…We find adopters of these innovations to systematically differ from non-adopters and suggestive evidence of potential systematic targeting of project locations and households. Econometric results using efficient influence function and propensity score matching methods show consistently higher maize yield and value of harvest, on average and across quantiles, for project beneficiaries, compared to that of randomly selected non-beneficiary households in non-target villages. …”
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    Conference Paper

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