Studying the Effect of Land Ownership on Family Food Security in the Barbardiya Municipality: Quantitative Findings from a One-Way ANOVA

Abstract

This study uses a quantitative technique, more particularly a one-way ANOVA, to examine how land ownership affects households' capacity to attain food security in the Barbardiya Municipality. A quantitative research technique was utilized to gather numerical data from a sample of 371 houses in the municipality that were randomly chosen. The data were analyzed using a one-way ANOVA to look for variations in the average evaluations of food sufficiency among various landholding categories. The research used the ANOVA, Welch, and Brown-Forsythe tests, as well as Tukey HSD post hoc analysis, to compare the size of the land in Katha among five food sufficiency groups. The findings suggested that there may be some variance in mean land size among food sufficiency groups, with the "Surplus" and "3 months" groups probably differing. The hypothesis testing did not discover any notable differences in the mean size of land across the various groups. The variance in land area that is related to differences between the categories is represented by the sum of squares between groups, degrees of freedom, and mean square, whereas the variance in land area that cannot be explained by differences between the categories are represented by the sum of squares within groups, degrees of freedom, and mean square. The study argues that rather than increasing the amount of land holdings, measures to improve food security should focus on boosting food storage and enhancing access to food. But it's also important to consider how community power dynamics could affect resource distribution, as well as the underlying social and economic structures that support inequality.