Sustainable Fishery Management Regulatory Compliance on the Pandam Wildlife Park Lakes: an Ordered Probit Analysis

Abstract

This paper analyzes the causes for regulatory compliance using socio-economics, deterrence, legitimate and social variables. The study uses fisher’s self-reported data from Plateau State artisanal fishers in Lake Pandam. The data were analysed using ordered probit regression model and corrected least square regression model on subsample of occasional violators. The results indicate that fishers could adjust their violation rates with respect to changes in socio-economic variables as well as to deterrence, legitimacy and social variables. Furthermore, 46.67% fishers were non-violators, 40% were occasional violators, while 13% were persistent violators. Persistent violators react neither to normative aspects nor to deterrence variables, but systematically violate the regulation and uses unclear means to avoid punishment. We recommend transparent enforcement using the deterrence variables and monitoring must increase and that penalties should be higher.

Keywords: compliance, regulations, legitimate, deterrence, violators