1802 papers
This study of Egyptian banks from 2016 to 2025 reveals that while cybersecurity disclosure alone does not directly boost profitability, its positive impact is significantly amplified when combined with FinTech adoption, suggesting that digital resilience yields financial value only when supported by robust technological infrastructure.
This qualitative study, grounded in Institutional, NRBV, and Upper Echelons theories, investigates 36 stakeholders in Ethiopia's Amhara Region to reveal that while SME ethical behavior is shaped by entrepreneurial values and socio-cultural norms yet hindered by corruption and instability, green innovation is primarily driven by economic waste-to-value benefits but constrained by high costs, technological gaps, and institutional deficits.
Using machine learning on data from 88 countries, this study identifies regional classification as the dominant predictor of income inequality across various measures, followed by political and technological factors, while demonstrating that a parsimonious set of indicators can effectively capture the predictive power of a broader model.
This study employs an interdisciplinary framework combining Super-SBM, Global Malmquist–Luenberger, Spatial Durbin, and fsQCA models to analyze China's provincial physical fitness and health efficiency from 2014 to 2023, revealing a counterintuitive west-high-east-low spatial pattern driven by technological progress and identifying complex, asymmetric configurational pathways for improvement through synergistic resource allocation and infrastructure coordination.
Using 2022 nationally representative data and a Tobit regression model, this study identifies household financial capacity, settlement type (with nomadic communities facing the greatest disadvantage), and vulnerability factors like displacement and food insecurity as the primary determinants of tuition fee expenditure in Somalia, underscoring the urgent need for targeted policies to improve educational access for marginalized groups.
Driven by geopolitical tensions, supply chain shocks, and the strategic imperative of AI, the semiconductor industry is shifting from cost-optimized global offshoring to security-oriented regional production blocs, transforming global value chains without fully reversing economic interdependence.
Using panel data from 63 Chinese resource-based cities (2011–2023), this study employs dynamic modeling and probabilistic forecasting to reveal that while physical climate risks do not alter the structural level of energy transition vulnerability, they significantly disrupt its annual improvement trajectory by hindering adaptive capacity, offsetting approximately 14.3% of progress, though the evidence for strong causal inference and moderating effects remains limited.
This paper proposes an adaptive pre-market portfolio management framework for the Indian stock market that dynamically selects Buy, Sell, or Hold actions by combining unsupervised market regime detection with an ensemble of four contextual bandit models, demonstrating superior performance over baseline approaches in volatile conditions.
This study challenges the deterministic subnational resource curse narrative in Zambia by demonstrating that while mining dependence is negatively associated with overall economic concentration across provinces, it does not significantly hinder non-extractive diversification when measured independently, suggesting that mineral development's impact depends on local linkages and fiscal institutions rather than extraction alone.
This paper demonstrates that extreme weather in China significantly impairs corporate cash flows with a one-year lag and exacerbates financing constraints for small firms, revealing that adaptation to climate risks relies more on ex-ante liquidity management than ex-post borrowing adjustments.