• Title of article

    Farmers’ Willingness to Pay for Crop Insurance: Evidence from Eastern Ghana

  • Author/Authors

    Ellis, Emmanuella Department of Agricultural Economics - Faculty of Agricultural and Environmental Sciences - McGill University - Quebec , Canada

  • Pages
    18
  • From page
    447
  • To page
    464
  • Abstract
    Crop insurance is a risk management tool with the potential of dealing with risk more efficiently. This study uses a dichotomous contingent valuation method to elicit the willingness to pay for crop insurance among cereal farmers in the Eastern region of Ghana. The study employed descriptive statistical techniques to analyze primary data obtained from 208 sampled farmers in the region. Approximately, 52.9% of the farmers expressed interest in crop insurance. A Heckman two stage approach was employed to estimate the factors influencing the WTP for crop insurance. The results revealed that farmers were willing to pay approximately $18.36 per cropping season. The demand for insurance was found to be negatively correlated with the premium amounts suggesting that it is a normal good. The Probit model revealed that marital status and awareness of crop insurance had a positive correlation with the willingness to purchase insurance. The coefficient for education was positive and statistically significant at the 5% significance level in relation to farmers’ WTP. Borrowing and savings were, however, found to be negative and significant at the 1% and 10% levels respectively in relation to WTP. Farmers’ WTP amount estimated with the interval regression model was shown to be influenced by key variables such as age, crop type, farm size, farm experience, income, weather variation, savings and access to extension agents. Innovative insurance products and the appropriate distribution channels are also recommended to incite demand for crop insurance
  • Keywords
    Contingent valuation , Heckman two stage analysis , Interval Regression , Weather Index Insurance
  • Journal title
    Astroparticle Physics
  • Serial Year
    2017
  • Record number

    2431590