Infrastructure Accessibility, Extension Intensity and Technical Efficiency of Small-Scale Aquaculture Farmers in Lagos State, Nigeria: An Exploratory Spatially Informed Assessment
This study develops a spatially informed extension of an existing farm-level analysis of agricultural extension intensity and technical efficiency among small-scale fish farmers in Lagos State, Nigeria. The underlying survey covered 270 farmers in Ikorodu, Epe, and Badagry and measured extension intensity through visits, training participation, demonstrations, and advisory consultations. Existing stochastic-frontier results show that extension intensity significantly increases frontier output (coefficient = 0.228, p < 0.01), while mean technical efficiency is 0.832, implying an average efficiency gap of 16.8%. To introduce an infrastructure dimension, the study constructs a provisional local-government-area accessibility profile using road distance to Lagos and population density. The normalized composite accessibility score is highest for Ikorodu (1.000), followed by Badagry (0.335) and Epe (0.000), indicating substantial differences in the market-connectivity environment surrounding the three aquaculture clusters. These spatial differences provide a plausible contextual mechanism through which extension knowledge, input access and market participation may translate into farm performance. However, because the available manuscript package does not contain respondent-level ESII and technical-efficiency records for re-estimation, the infrastructure-extension interaction is not estimated in this exploratory paper. The findings, therefore, establish a transparent empirical basis and a testable cross-level model for a subsequent merged micro-spatial analysis. The study argues that aquaculture policy should treat extension delivery and physical connectivity as potentially complementary investments rather than independent interventions.
Keywords: aquaculture; extension intensity; technical efficiency; infrastructure accessibility; market access; stochastic frontier; Lagos State
