386 papers
This article argues that for Vietnam's carbon pricing to be socially legitimate and effective, it must be embedded within a fiscal-justice framework that prioritizes protecting vulnerable households and ensuring transparent revenue use, rather than being evaluated solely on technical emissions metrics.
This paper empirically demonstrates that blue finance development significantly enhances green total factor productivity in China's coastal cities, primarily through industrial structure upgrading, optimized green resource allocation, and strengthened environmental regulation, with effects varying by region and financial characteristics.
This study systematically reviews literature and analyzes an Indian case study to identify that while developing countries utilize diverse financing mechanisms like green bonds and public–private partnerships for green infrastructure, they face significant challenges such as regulatory uncertainty and high upfront costs, necessitating strengthened governance and blended finance strategies to bridge funding gaps.
This study demonstrates that the out-of-sample performance of cointegration-based deep reinforcement learning for cryptocurrency statistical arbitrage is critically dependent on asset-universe construction and action-space granularity, with specific universe designs (such as Payment-Coin and Baseline 14) and binary action spaces yielding superior returns compared to broader universes or granular action specifications.
This paper introduces VP-OilEx-STFN, a structural-gated deep learning framework that integrates mixed-frequency data with country-specific economic mechanisms to significantly outperform traditional benchmarks in nowcasting monthly oil exports for both Norway and Thailand.
This study demonstrates that combining machine learning feature importance with fixed-effects regression reveals critical nonlinearities and interaction effects—such as thresholds in board independence and context-dependent CEO duality—that traditional linear models overlook, thereby offering a superior two-step framework for understanding the drivers of CSR-firm value relationships in African financial markets.
This quantitative study of Indonesian banking firms from 2020 to 2023 reveals that while political connections, fixed asset intensity, profitability, and leverage significantly influence tax avoidance, the presence of independent commissioners does not have a statistically significant effect.
This paper argues that repair serves as the critical missing link in the circular economy for electronics by reconnecting fragmented lifecycle stages and enabling higher-value loops, yet it currently faces significant barriers compared to the dominant recycling approach.
Using data from Ghana's 2021 census and instrumental variable methods, this study finds that intergenerational co-residence with a mother or mother-in-law significantly increases married women's labor force participation by 19.1 percentage points, particularly in households with young children and monogamous families.
This systematic review of 156 studies from 2018 to 2025 demonstrates that AI significantly enhances predictive accuracy and automation across six key Fintech domains while highlighting critical challenges like algorithmic bias and explainability, ultimately offering a research agenda and regulatory insights for stakeholders.