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    Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

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    S19ArtKhatazaExaminingInthomNodev.pdf (125.4Kb)
    Date
    2018-12-19
    Author
    Khataza, R.R.
    Hailu, A.
    Doole, G.J.
    Kragt, M.E.
    Alene, A.
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Achieving sustainable food security and increased farm income will depend on how efficient production systems are in converting available inputs to produce outputs. Using data from Malawi, we estimate a Bayesian directional technology distance function to examine the relationship between farm size and technical efficiency. Our results support the existence of an inverse relationship between farm size and productive efficiency, where small farms are more efficient than large farms. On average, farms exhibit inefficiency levels of 60%, suggesting that productivity could be improved substantially. Improving productive efficiency and food security will require farms to operate in ways where the size of cultivated area is matched by nonland production inputs such as labor, fertilizer, and improved seeds. The results highlight the need for policies that could incentivize farmers to adopt productivity‐enhancing technologies and, where possible, to allocate excess land to lease markets.
    https://dx.doi.org/10.1111/agec.12480
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/5525
    Non-IITA Authors ORCID
    Arega Alenehttps://orcid.org/0000-0002-2491-4603
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1111/agec.12480
    Research Themes
    SOCIAL SCIENCE & AGRICUSINESS
    IITA Subjects
    Agribusiness; Smallholder Farmers; Socioeconomy
    Agrovoc Terms
    Productivity; Efficiency; Africa; Technical Aid; Small Farms; Farm Size
    Regions
    Africa; Southern Africa
    Countries
    Malawi
    Journals
    Agricultural Economics
    Collections
    • Journal and Journal Articles4839
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