1072 papers
This study demonstrates that while artificial intelligence significantly reduces carbon intensity across 33 OECD countries, its environmental effectiveness is substantially amplified by well-developed financial systems, particularly banking institutions, which facilitate investment in intelligent low-carbon technologies.
This paper demonstrates that finite learning paths in a learning-from-prices model can appear numerically reliable despite underlying iteration dynamics failing to approximate equilibrium, revealing a critical distinction between code implementation errors, algebraic equilibrium validity, and the separate stability conditions governing finite iteration horizons.
This study evaluates the impact of Tanzania's PSSN livelihood support on household food insecurity in Morogoro using Propensity Score Matching and finds that while supported households exhibited slightly lower food insecurity scores, the effect was not statistically significant, indicating a need to refine the program's strategies.
This study develops a mixed-integer nonlinear programming model to optimize inspection allocation and OEM-ODM coordination under carbon pricing, demonstrating through numerical simulation that a self-remanufacturing configuration significantly outperforms an outsourced decentralized model by reducing total production costs and rejected units.
Using data from 30 Sub-Saharan African countries (1990–2024) and advanced econometric techniques, this study reveals that financial development, primary sector growth, and energy consumption significantly influence environmental quality, suggesting that integrating sustainable financing and climate-smart agricultural practices can reduce pollution while boosting productivity.
This paper finds that while fiscal rules effectively mitigate election-induced fiscal deterioration in Western EU member states, their success in Central and Eastern Europe is contingent upon high domestic institutional quality, particularly regarding the rule of law, corruption control, and democratic accountability.
The paper proposes the Weighted Reward Allocation Mechanism (WRAM), a budget-constrained reward scheme that dynamically distributes a committed pool based on item weights to effectively coordinate multi-item contributions and outperform fixed-payment alternatives in both budget certainty and total contribution value.
This paper analyzes 16 years of Nifty-50 index option data to demonstrate that net buying pressure, liquidity, and systemic shocks affect the symmetric and directional components of implied volatility differently for calls versus puts, revealing distinct pricing mechanisms in India's retail-dominated market.
Using a comprehensive dataset of Italian unlisted firms, this paper provides within-firm evidence that asset tangibility significantly influences debt maturity composition, revealing that maturity matching holds across different firm regimes and that regulatory certification primarily selects firms with specific balance sheet characteristics rather than shaping them.
Using a comprehensive dataset of Italian unlisted firms from 2015 to 2024, this paper demonstrates that public contributions partially substitute for private investment rather than fully crowding it in, with effects driven primarily by the magnitude of funding rather than the mere receipt of support.