1780 papers
This empirical study of 400 customers in Kerala, India, utilizes Structural Equation Modeling to reveal that while Business Correspondents are preferred for financial services, their operations currently fall short of achieving full financial inclusion due to significant gaps in availability, accessibility, awareness, and affordability.
This study evaluates China's forestry leisure tourism development efficiency using advanced econometric and machine learning models to reveal that its growth is driven primarily by efficiency improvements, relies on complementary configurations of tourism foundations and ecological quality, and exhibits significant spatial spillovers requiring coordinated regional strategies.
This study proposes a two-stage research framework that integrates large-scale SAGraph social network analytics with a theory-driven Structural Equation Modeling (SEM) approach to empirically investigate how networked influence, contextual fit, and influencer credibility drive consumer engagement and advertising effectiveness, while explicitly distinguishing between existing computational benchmarks and a future-ready protocol for latent-variable inference.
This paper demonstrates that ESG rating disagreement in China's A-share market exerts a dual effect on corporate investment efficiency by simultaneously increasing underinvestment and decreasing overinvestment, with the net disciplining impact on capital-dependent firms revealing that eliminating such disagreement could inadvertently relax a crucial market constraint on overinvestment.
This paper analyzes Binance.US's 2023–2025 fiat access interruption and recovery, finding that while restoring bank rails and adjusting relative pricing (specifically selective fee advantages) partially revived USD trading, the platform's USD market share never recovered to pre-interruption levels as traders remained heavily anchored to USDT-quoted venues.
This paper argues that Independent Fiscal Institutions (IFIs) have evolved beyond their original role as mere fiscal watchdogs into comprehensive information-provision institutions, where their analytical capacity—rather than just enforcement power—is the key driver of lower sovereign borrowing costs and improved rule compliance.
This paper introduces a transparent, automated toolkit that successfully replicates the European Commission's 2023 Critical Raw Material supply risk assessments with high accuracy while enabling reproducible, updatable, and forward-looking evaluations to support the CRM Act.
This study finds that while advanced machine learning and GARCH models accurately predict UK equity index prices, they fail to outperform simple benchmarks in return prediction, suggesting their true value lies in risk measurement rather than forecasting returns.
Using a spatial Durbin analysis of Türkiye's 81 provinces from 2014 to 2024, this study reveals that demographic shifts, particularly the young-adult population share, drive housing transactions primarily through significant cross-regional spillovers, with distinct demand drivers differentiating mortgage-financed sales from cash purchases.
This quantitative study employs a modified UTAUT model incorporating financial and spiritual intelligence to analyze factors influencing Islamic Fintech adoption among Malaysian millennials, revealing that while most factors significantly predict behavioral intention, effort expectancy and spiritual intelligence do not.