1781 papers
Using 63 years of multivariate time-series data from Bangladesh (1961–2024), this study confirms a unidirectional causal relationship where economic growth drives household consumption, while rejecting the consumption-led growth hypothesis and identifying GDP growth, remittances, and trade openness as key short-run determinants.
This paper utilizes a heterogeneous-agent New Keynesian (HANK) model to demonstrate that the macroeconomic and distributional effects of fiscal-monetary policy interactions under exogenous shocks are fundamentally shaped by the specific nature of the shock and household heterogeneity, particularly through the amplifying role of liquidity-constrained consumers.
This study of 483 start-ups in southern Brazil finds that new ventures are significantly more likely to locate in municipalities with a strong existing productive base for their specific sector, whereas the local knowledge base (university enrolment) shows no independent association with start-up formation.
This study analyzes a dual-channel supply chain where a platform jointly optimizes commission rates and traffic support under demand uncertainty, revealing that these instruments are complementary when direct monetization outweighs pricing-induced volume reductions, and demonstrating that welfare-maximizing policies may diverge from platform-optimal strategies due to complex spillover effects and non-monotonic responses to uncertainty.
This systematic review of U.S. enterprise AI adoption from 2022 to 2026 challenges the prevailing narratives of guaranteed financial returns and widespread workforce substitution, revealing instead that productivity gains are highly task-dependent, independently verified ROI is absent, and critical evidence gaps currently prevent organizations from making fully informed, governance-aligned decisions regarding large-scale deployment or workforce restructuring.
This study demonstrates that in out-of-sample forecasting of S&P 500 prices and returns, complex machine learning models do not consistently outperform simple benchmarks like the random walk or zero-return assumption, highlighting that increased model complexity does not guarantee improved short-horizon financial predictions.
This study utilizes a panel error correction model to demonstrate that while structural transformation factors like manufacturing and capital formation drive Zimbabwe's long-term income convergence toward upper middle-income status, the country's progress is significantly hindered by natural resource dependence and macroeconomic instability.
This study utilizes provincial data and advanced spatial econometric models to demonstrate that China's digital infrastructure significantly enhances green resilience in the manufacturing sector through regional clustering and spatial spillovers, ultimately driving a convergence in sustainable upgrading across provinces.
Using fuzzy-set qualitative comparative analysis on 202 Chinese wine firms, this study reveals that high innovation is achieved through multiple equifinal pathways where organizational digital transformation serves as a core condition, often synergizing with production, process, firm size, and market openness to drive outcomes.
This study pioneers the application of a SARIMA model to Somalia's monthly inflation data (2018–2024), identifying annual seasonality as the primary driver of price dynamics and generating accurate short-term forecasts that reveal recurring seasonal peaks and troughs to support evidence-based macroeconomic policy.