Feb 2021 DOI 10.14302/issn.2768-0207.jbr-18-2316
Abdullahi Baba MasudCorresponding author
Department of Statistics, Central Bank of Nigeria
This study examines capital adequacy and the moderating impact of asset growth on the performance of firms in the agricultural sector. 4 listed agricultural firms were examined over a period of 10 years and data were extracted from their financial statements which were analyzed through a STATA 13 tool of analysis. Regression, correlation matrix and descriptive methods of analysis were employed to present and analyze results. Other post estimation tests like skewness and kurtosis test, Variance Inflation Factor test, specification test, heteroskedasticity tests and hausman test to select between fixed effect and random effect regression model were conducted to ensure robustness of results. The fixed effect stochastic longitudinal regression analysis model was adopted as guided by the hausman test. From the findings posited by the study, liquidity structure, liquidity structure moderated by asset growth and the combined effect of firm size moderated by asset growth were found to be significantly impacting on return on asset of firms at 1% level of significance. Firm size was found not to have any significant impact on return on assets. It was therefore recommended that the management should ensure considerable excess of current assets over current liabilities at all times so that there will always be positive liquidity structure; management should ensure consistent and prudent capital acquisition to ensure larger firm size; management should ensure steady asset growth by asset revaluation and new acquisition over time; the regulatory authority in the agricultural sector should establish a firm size benchmark below which no firm should operate.
Jun 2026 DOI 10.14302/issn.2693-1176.ijgh-26-6261
Akullo VivienCorresponding author
Introduction Agriculture is the backbone of Uganda’s rural economy, with smallholder farmers forming the majority of the farming population. Despite irrigation farming being recognized as a pathway to improved productivity and livelihood resilience, empirical studies on its adoption and outcomes in Uganda remain scanty. This limited evidence informed this cross-sectional analysis to evaluate how irrigation farming adoption influences smallholder farmers’ livelihoods in Uganda. Methods This study used a cross-sectional design to assess the link between irrigation adoption and livelihood outcomes among smallholder farmers in Uganda. From a target of 422 respondents, 387 participated (91.7% response rate). Districts, sub-counties, and farmers were purposively selected, with proportional representation to ensure balance. Data were analyzed using SPSS and STATA 18, applying descriptive statistics, Chi-square tests, regression, and logistic models. Assumptions of linearity and multicollinearity were checked, while Poisson regression and mixed models enhanced robustness. Results Adoption of modern irrigation technologies was generally low, with overall mean scores below 2.0 for drip, sprinkler, pump, hose pipe, and solar-powered systems, while small-scale manual methods showed moderate uptake (mean = 2.695, SD = 1.498). In contrast, livelihood outcomes were consistently high: agricultural productivity (mean = 3.802, SD = 0.688) reflected strong yields and profitability but moderate climate adaptation (mean = 2.907, SD = 1.241); income growth was notable (mean = 3.672, SD = 0.894); food security and social services were very high (means above 4.2), with clean water access scoring highest (mean = 4.455, SD = 0.529); and asset growth was positive (mean = 3.760, SD = 0.795). Overall livelihood outcomes averaged 3.963 (SD = 0.577). Correlation analysis showed a weak but significant positive relationship between irrigation adoption and livelihoods (r = 0.208, p = 0.000), while regression confirmed irrigation adoption significantly improved outcomes (β = 0.134, p = 0.000), explaining 4.1% of the variation.