Data Descriptor: Smart subsidies for catchment conservation in Malawi

Andrew Bell, Patrick S. Ward, Lawrence Mapemba, Zephania Nyirenda, Wupe Msukwa, Edwin Kenamu

    Research output: Contribution to journalArticle

    Abstract

    Conservation agriculture (CA) is a management paradigm in which soil is covered outside of cropping seasons, minimally disturbed, and recharged with nitrogen-fixing legumes. Finding effective ways to encourage CA is a centuries-old problem playing out acutely today in Sub-Saharan Africa. To better understand this issue, we have collected data on rural livelihoods and CA adoption during a two-year intervention in southern Malawi. The intervention evaluated rates of CA adoption under two different structures of payment and three levels of monitoring. The dataset includes a baseline and endline survey covering 1,900 households, along with surveys conducted with participants opting into the intervention. Baseline and endline questions included modules on farm-level inputs and production at the plot-crop level; plot characteristics; household composition and assets; savings, loans, and other sources of income; neighborhood characteristics; and perceptions regarding CA. Registration questionnaires in the intervention included detailed assessments of recent production in plots being registered to the intervention, and basic information for all other plots; and basic information on household structure and assets.

    Original languageEnglish (US)
    Article number180113
    JournalScientific data
    Volume5
    DOIs
    Publication statusPublished - Jul 3 2018

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    ASJC Scopus subject areas

    • Statistics and Probability
    • Information Systems
    • Education
    • Computer Science Applications
    • Statistics, Probability and Uncertainty
    • Library and Information Sciences

    Cite this

    Bell, A., Ward, P. S., Mapemba, L., Nyirenda, Z., Msukwa, W., & Kenamu, E. (2018). Data Descriptor: Smart subsidies for catchment conservation in Malawi. Scientific data, 5, [180113]. https://doi.org/10.1038/sdata.2018.113