1837 papers
This bibliometric analysis of 523 documents from 2015 to 2026 maps the rapidly expanding, cross-disciplinary field of digital fraud and financial literacy, revealing six thematic clusters and highlighting a critical research gap between behavioral literacy studies and technical fraud detection.
Using a heteroskedastic ordered probit model on survey data from 3,075 economic agents in Benin's Ouémé Delta, this study identifies health shocks, water color, education, and housing tenure as the primary drivers of water quality dissatisfaction, advocating for localized governance strategies over broad demographic targeting.
This study demonstrates that regularized regression models, particularly Elastic Net, outperform traditional time-series and complex machine learning algorithms in forecasting Nigeria's food price inflation, identifying historical prices, exchange rates, energy costs, and rainfall as key drivers while advocating for coordinated macroeconomic and agricultural policies to ensure food security.
This study utilizes 2022–2024 data to analyze six Turkic-world economies and finds that while domestic credit to the private sector shows a weak, statistically insignificant link to economic growth, it exhibits a strong, significant positive correlation with inflation, with Turkmenistan excluded from the quantitative model due to data transparency issues.
This paper introduces the Dynamic Dual-Period Multi-Criteria Inventory Decision Framework (DPMC-IDF), a novel approach that overcomes the static and parametric limitations of traditional ABC and ABC-XYZ methods by utilizing dual-period analysis, non-parametric percentile ranking, and a signed volatility index to reduce misclassification risks and guide inventory decisions through a standardized five-tier procedure.
This study employs a comparative mixed-methods analysis of seven West African coastal nations to reveal significant disparities in wind energy policy maturity and implementation, identifying institutional fragmentation and regulatory inconsistencies as primary barriers while advocating for regional harmonization and a dedicated task force to accelerate deployment.
Using an ARDL analysis of data from 1991 to 2021, this study finds that technology adoption, specifically through mobile cellular subscriptions and internet penetration, has a significant positive long-run impact on financial sector development in Liberia, as evidenced by increased net domestic credit and broad money supply.
Using an ARDL bounds-testing approach on Liberian data from 1991 to 2021, this study reveals that while mobile and internet adoption initially negatively impact financial development due to substitution effects and infrastructure barriers, they ultimately establish a stable long-run equilibrium that facilitates financial growth when supported by policy and sector engagement.
This paper identifies a systematic convexity bias in standard terminal value calculations arising from the non-linear relationship between growth and discount rates, and proposes a closed-form, sign-aware correction that eliminates approximately 90% of this error while accounting for the interplay between reinvestment, return on capital, and cost of capital.
Using PLFS data from 2021-22 to 2023-24, this paper reveals that despite rising female labour force participation in India, gendered informality remains structurally embedded, with women disproportionately concentrated in low-quality, unpaid, or informal roles across rural agriculture and urban services compared to men's dominance in regular wage employment and physically intensive sectors.