The proposed research is constructed around the theme of food security, agricultural productivity, and commodity basis. The first paper analyzes the impacts of COVID-19 on the Bangladesh rice market within the framework of a partial equilibrium regime-switching model. We provide an initial estimate of the short- and long-run effects of COVID-19 on the Bangladesh rice market and food security sustainability by comparing baseline projections. We analyze the effect of shocks in policies related to trade, public stock, and productivity on rice supply, demand, and food security dimensions. Finally, we assess the effectiveness of these policies to smooth out shocks that may arise from a future pandemic like COVID-19. In the second essay, we analyze the relationship between women's empowerment in agriculture and Bangladesh rice farm productivity change and its components, which include efficiency change, technological change, and scale efficiency change. We employ the non-parametric Malmquist approach and bootstrap regression method. We find that improvements in women's empowerment in agriculture, specifically enhancing their ability to make independent choices regarding agricultural production, have a statistically significant positive association with productivity change, efficiency change, and technical change. We also find that lowering the gender parity gap is positively related to improving the productivity of the sample farms. In the third essay, we analyze the effect of precipitation variations, namely local, growing season, and regional precipitation, on Missouri corn and soybean basis. We document statistically significant linear and nonlinear basis responses in corn and soybean models for local and growing season precipitation variations. We also find a statistically significant moderating effect of port distance measure on the curvilinearity of the association between regional precipitation and soybean basis. Keywords: food security; policy analysis; women's empowerment; Malmquist; imate change; precipitation