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Climate change and agricultural transformation are increasingly affecting cocoa production in Sub-Saharan Africa, where smallholder farmers face growing environmental and socioeconomic constraints. This study investigates their effects on cocoa productivity in the Mvila Division of South Cameroon, with particular attention to agricultural modernization, rainfall variability, cooperative membership, fertilizer use, and farm-level characteristics. The study combines qualitative evidence from administrative and policy documents with quantitative data from cocoa farmers and secondary sources, including MINADER, IRAD, FAOSTAT, ICCO, CHIRPS, and the National Cocoa and Coffee Board. Descriptive statistics, correlation analysis, multiple regression, robustness tests, and scenario projections were used to assess productivity across five subdivisions. The results show that cooperative membership, favourable rainfall conditions, farmer education, fertilizer use, and farm size significantly increase cocoa productivity, while ageing plantations reduce yields. Agricultural transformation has also strengthened farmer organizations, extension services, and adoption of improved practices, although mechanization remains constrained by inadequate infrastructure, limited finance, and uneven institutional support. Ebolowa I and Ebolowa II consistently record higher productivity, associated with stronger institutional support and greater adoption of improved practices. The study contributes empirical evidence on the interaction between climate variability and agricultural transformation in cocoa-producing smallholder systems and highlights the importance of combining climate-smart practices, plantation rehabilitation, producer organizations, extension services, and appropriate mechanization to improve productivity and strengthen farmers' resilience in Cameroon.

This study examines whether risk asset exposure affects the financial performance of commercial banks in Cameroon, a bank-dominated economy of the Central African Economic and Monetary Community (CEMAC). Risk asset exposure is measured by lending intensity (the loan-to-deposit ratio) and credit expansion (annual loan growth), and performance by return on assets (ROA). The data form a balanced panel of ten commercial banks over 2014–2024, compiled from the prudential reporting system of the Central African Banking Commission (COBAC) as published by Cameroon's National Economic and Financial Committee. Bank fixed-effects regressions with bank-clustered standard errors are complemented by a wild-cluster bootstrap suited to few clusters, Driscoll–Kraay standard errors, lagged regressors, panel Granger non-causality tests and a within–between (Mundlak) decomposition that separates changes in a bank's own exposure from persistent differences between banks. The main findings are that (i) neither lending intensity nor credit expansion is significantly associated with profitability in any specification (bootstrap p = 0.81 and 0.30), and the confidence intervals exclude effects larger than about one percentage point of ROA; (ii) lending intensity is unrelated to profitability both within banks over time and between banks (between-effect bootstrap p = 0.88); and (iii) the COVID-19 years of 2020–2021 were associated with ROA about 0.70 percentage points lower (bootstrap p = 0.009). The results indicate a limited role for lending exposure, while significant bank fixed effects and the COVID-19 coefficient point to persistent bank heterogeneity and common systemic shocks. Because the sample comprises ten banks under a single regulator, the findings should be interpreted with caution.