Abstract
We define three ordinal credit constraint levels (low, medium, high) and assess their effects on farmers’ welfare through the agricultural productivity channel. Farmers who are successful in getting credit face a low level of credit constraints. Those who do not obtain credit are disentangled in two levels: the high and medium levels of credit constraints. We study the case of Burkina Faso, a country where women farmers experience unequal property rights, we show that these credit constraints offer more detailed insights than a binary approach. Our findings reveal that easing credit constraints boosts welfare and productivity, with variations based on constraint levels and gender. Additionally, less empowered women farmers exhibit reduced productivity despite better credit access, highlighting gender inequality and land rights issues that lead to women's disempowerment and credit misallocation.
| Original language | English |
|---|---|
| Pages (from-to) | 694-707 |
| Number of pages | 14 |
| Journal | Agricultural Economics (United Kingdom) |
| Volume | 56 |
| Issue number | 4 |
| Early online date | 2025 |
| DOIs | |
| State | Published - Jul 2025 |
Bibliographical note
Publisher Copyright:© 2025 International Association of Agricultural Economists.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 5 Gender Equality
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SDG 8 Decent Work and Economic Growth
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SDG 10 Reduced Inequalities
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SDG 15 Life on Land
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SDG 17 Partnerships for the Goals
Keywords
- Agriculture
- Credit constraints
- Gender
- Switching regression
- Welfare
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