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Linking Agricultural Index Insurance with Factors That Influence Maize Yield in Rain-Fed Smallholder Farming Systems

Author

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  • Wonga Masiza

    (Department of Geography and Environmental Science, University of Fort Hare, Alice 5700, South Africa
    Agricultural Research Council-Institute for Soil, Climate and Water, Pretoria 0001, South Africa)

  • Johannes George Chirima

    (Agricultural Research Council-Institute for Soil, Climate and Water, Pretoria 0001, South Africa
    Department of Geography, Centre for Geoinformation Science, Geoinformatics and Meteorology, University of Pretoria, Pretoria 0001, South Africa)

  • Hamisai Hamandawana

    (Department of Geography, Bindura University of Science Education, 741 Chimurenga Road, Bindura 7999, Zimbabwe)

  • Ahmed Mukalazi Kalumba

    (Department of Geography and Environmental Science, University of Fort Hare, Alice 5700, South Africa)

  • Hezekiel Bheki Magagula

    (Department of Geography and Environmental Science, University of Fort Hare, Alice 5700, South Africa)

Abstract

Weather extremes pose substantial threats to food security in areas where the main source of livelihood is rain-fed crop production. In most of these areas, agricultural index insurance (AII) is recognized as being capable of securitizing food production by providing safety nets against weather-induced crop losses. Unfortunately, however, AII does not indemnify farmers for non-weather-related crop losses. This study investigates how this gap can be filled by exploring strategies through which AII can be linked with non-weather factors that influence crop production. We do this by using an improvised variable ranking methodology to identify these factors in the O.R. Tambo District Municipality, South Africa. Results show that key agrometeorological variables comprising surface moisture content, growing degree-days, and precipitation influence maize yield even under optimal weather conditions, while seed variety, fertilizer application rate, soil pH, and ownership of machinery play an equally important role. This finding is important because it demonstrates that although AII focuses more on weather elements, there are non-weather variables that may expose farmers to production risk even under optimal weather conditions. As such, linking AII with critical non-weather, yield-determining factors can be a better risk management strategy.

Suggested Citation

  • Wonga Masiza & Johannes George Chirima & Hamisai Hamandawana & Ahmed Mukalazi Kalumba & Hezekiel Bheki Magagula, 2021. "Linking Agricultural Index Insurance with Factors That Influence Maize Yield in Rain-Fed Smallholder Farming Systems," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5176-:d:549369
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    References listed on IDEAS

    as
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