1802 papers
This study analyzes the impact of exchange rates and inflation on Afghanistan's GDP from 2003 to 2023 using OLS regression, finding a positive relationship between the variables while highlighting the limitations of data reliability due to economic instability and urging policymakers to adopt stabilized macroeconomic strategies.
Using cross-sectional data from the Basel AML Index 2025, this study finds that the apparent negative association between fintech adoption and money-laundering risk vanishes once institutional quality and rule of law are controlled for, indicating that strong governance rather than payment digitization is the primary driver of lower AML risk.
This study analyzes provincial-level data in Vietnam from 2010 to 2022 and finds that while total tax revenue has little impact on income inequality, the intensity of local tax collection actually exacerbates regional disparities, suggesting that government spending policies are more critical than the tax system for reducing inequality.
This study of Vietnamese banks from 2015 to 2023 reveals that while liquidity management and bank size directly enhance profitability, the impact of credit growth is contingent on bank size, with larger banks better able to leverage credit expansion for profits due to superior risk management capabilities, whereas smaller banks face greater vulnerability to aggressive lending.
This study utilizes interrupted time series and Bayesian counterfactual analyses of Turkish rail freight data from 2000 to 2024 to reveal that high-speed rail openings and liberalization reforms failed to increase traffic, while the sector unexpectedly grew during the pandemic but suffered a severe, disaster-driven contraction following the 2023 earthquakes, challenging infrastructure-led optimism and highlighting the need for resilient network planning.
This paper proposes a Lévy-regularized Bayesian neural network framework that integrates measure-theoretic valuation, tempered stable noise injection, and causal fairness adjustments to significantly improve the accuracy and equity of life insurance reserve estimation under Solvency II, particularly during extreme demographic shocks like pandemics.
This paper demonstrates that while harmonized U.S. consumer finance complaint narratives can effectively detect emerging financial themes through statistical surveillance, they function as contemporaneous indicators rather than systematic early warnings due to data artifacts and the lag between signal emergence and broad recognition.
This paper outlines the methodology and findings demonstrating that the Medicines Patent Pool's voluntary intellectual property licensing generates a 90-to-1 return on investment by significantly increasing access to affordable medicines in low- and middle-income countries, thereby delivering substantial health and economic benefits that far outweigh the program's costs.
This study demonstrates that patent citation-network structures can effectively anticipate technology lock-in risks in China's semiconductor industry before conventional performance indicators deteriorate, enabling the development of a Technology Lock-in Risk Index (TLRI) that serves as an early-warning screening tool, particularly for large patenting entities.
This paper employs a novel discipline-level benchmarking framework to reveal that Hong Kong's research universities within the Greater Bay Area exhibit a structural bifurcation where high research excellence and networking fail to translate into cross-border commercialization due to pathway-dependent disciplinary configurations and a lack of feedback loops between societal engagement and competitive research capacity.