386 papers
This study analyzes daily data from early 2020 to reveal how COVID-19 cases and PBOC liquidity operations contemporaneously influenced China's money-market funding spreads, while clarifying that these correlations reflect market co-movements rather than causal evidence of monetary policy effectiveness.
This predictive panel study demonstrates that a high Medical Loss Ratio (MLR) serves as a significant, threshold-based early-warning indicator for future financial fragility, market exit, and forced regulatory exit among Brazilian health plan operators, particularly when MLR exceeds 0.835, though it functions best as a partial marker rather than a standalone screening tool.
Using Albanian data from 2000–2024, this paper demonstrates that annual wage dynamics are more consistently driven by demand-side factors like GDP, consumption, and remittances than by a direct, stable pass-through of measured labour productivity, suggesting that in small, open economies, wage growth is primarily demand-mediated rather than productivity-led.
This paper argues that the frequent failure of transformative business models stems not from technological shortcomings but from the neglect of human capital, proposing an integrative framework where aligning HR architecture with strategic reconfiguration is essential for successful organizational adaptation.
Drawing on Dynamic Capability Theory, Resource-Based View, and Natural Resource-Based View, this study of 388 Vietnamese SMEs demonstrates that digital transformation drives sustainable growth by enhancing green transformation capabilities and organizational adaptability, which in turn foster green innovation and resource optimization.
This exploratory study utilizes a Markov chain simulation and theoretical frameworks to demonstrate that, under specific assumptions, AI-driven personalization mechanisms could hypothetically more than double customer retention for Netflix compared to a low-AI baseline, while highlighting the need to view AI as a dynamic capability and addressing associated ethical concerns.
Using a hierarchical Dynamic Factor Model on global EDGAR data from 1970 to 2024, this study reveals that greenhouse gas emissions are driven primarily by structural forces rather than climate policies, exhibit a persistent two-club divergence pattern across regions, and show evidence of significant cross-border spillovers from Europe to North America and Latin America, though causal attribution to carbon leakage remains statistically inconclusive.
This study proposes an integrated assessment framework combining techno-economic analysis, life cycle assessment, and externality monetization to evaluate the trade-offs between net private and net social benefits across diverse biomass utilization pathways, demonstrating through a German miscanthus case study that while bioenergy and biochar carbon removal differ in financial viability, both can generate positive societal value.
This paper proposes a novel by-production optimization framework to derive an explicit Production Possibility Frontier and unique shadow prices for CO₂ reduction, enabling the direct estimation of marginal abatement costs as opportunity costs without relying on arbitrary directional vectors.
This study utilizes structural equation modeling to demonstrate that technical, social, and organizational factors, rather than just user demographics, critically influence the adoption of self-media platforms within the Attention economy.