Social Impact Scoping Using Statistical Methods: The Case of a Novel Design of Abandoned Farmland Policy

This study discusses the methodology for social impact scoping (SIS) by employing a case of novel policy design resolving issue abandoned farmland in Ehime Prefecture, Japan. When conducted using state-of-the-art methods, SIS can contribute meaningful information policymaking even conditions limited resources. In this study, choice experiment (CE) was to analyse desirability alternative policies among local people; additionally, Bayesian efficient employed; generally reduces sample size obtain statistical significance survey results. The increase worldwide has been linked regional, national, and global environmental concerns, such as biodiversity loss reduction landscape diversity; it also proven be serious problem regarding sustainability. showed that results used determine measures prevent abandonment. Overall, respondents stated examining farmland, which suggests usefulness implementing type survey. Thus, is pre-screen enhance well-being resources evaluation when certain assumptions made choice-based analysis.