📈 economics

Methanol shipping compliance under FuelEU Maritime and EU ETS

This paper develops a multi-regulatory accounting framework to evaluate methanol's compliance under FuelEU Maritime, EU ETS, and IMO CII using 2024 MRV data, revealing that while fossil grey methanol is an economically and environmentally inferior pathway, low-GHG e-methanol can significantly improve compliance outcomes depending on specific strategy and regulatory thresholds.

Georgios Makridis, Maria Margarita Separdani2026-09-08
📈 economics

Toward an ethical food business model: Lean waste management practices of home-based food microenterprises in Calbayog City, Samar, Philippines

This study proposes an ethical business model for home-based food microenterprises in Calbayog City, Philippines, by identifying overproduction as the primary waste and recommending cost-effective interventions like sales tracking and workspace reorganization to enhance sustainability without requiring formal certification or external capital.

Herbert Fabillar, Allan Dela Rosa2026-09-08
📈 economics

Foreign Direct Investment and Carbon Emissions in Belt and Road Initiative Countries Moderated by Governance Quality and Energy Efficiency

This study of 119 Belt and Road Initiative countries from 2000 to 2024 reveals that while foreign direct investment's direct link to carbon emissions is confounded by income and population, the environmental impact of FDI is significantly mitigated when strong governance quality and high energy efficiency operate jointly, suggesting that institutional strengthening must accompany, rather than replace, energy efficiency improvements to foster sustainable development.

Riaz Uddin, Juind Ahmad, Kausar Bibi, Barakat ElFarra, Muhammad Abbas, Aamir Daud2026-09-08
📈 economics

NPL Resolution and Credit Channel Recovery in Azerbaijan: An ARDL Benchmarking Analysis Against the KAMCO Model

This paper employs an ARDL framework to quantify the long-run negative elasticity between non-performing loans and credit volume in Azerbaijan following the 2015 currency devaluation, revealing a slower recovery trajectory than the South Korean KAMCO model and proposing a three-pillar policy strategy involving a contingent asset management company, legal reforms for faster collateral enforcement, and a structured link between NPL disposal and SME lending.

Sahil Murtuzayev, Umidvar Aliyev, Asiman İlyasov, Aynur Orujlu, Surac Bayram, Ulvi Rustemli2026-09-08
📈 economics

Unravelling Gender Dimensions of Financial Inclusion in India: An Evidence from Decomposition Analysis

Using 2020–21 NSS data and Fairlie decomposition, this study reveals a 5.66% gender gap in India's financial inclusion driven by socioeconomic factors like education and mobile access, while highlighting that unexplained disparities in regions like the north-east point to the critical role of cultural norms and discrimination, necessitating targeted policy interventions for vulnerable groups.

Sumit Kumar, Kalandi Charan Pradhan2026-09-08
📈 economics

An Activity-Based Costing Framework for Occupational Safety and Health Management Costs in Modular Building Installation

This study proposes and validates an Activity-Based Costing framework that aligns Korean occupational safety and health management costs with the specific, repetitive hazard cycles of modular building installation by linking statutory resources to measurable work activities, thereby enabling traceable, causally driven, and internally consistent cost allocation.

Jeong-Hoon Lee2026-09-08
📈 economics

Determinants of gendered poverty differentials in Latin America: a dynamic panel and recursive local projections approach

This study utilizes dynamic panel regressions and recursive local projections on 14 Latin American countries from 2001 to 2021 to demonstrate that while labor productivity reduces gendered poverty differentials, aggregate economic growth does not necessarily narrow them, and the impact of macroeconomic shocks varies significantly across countries due to distinct institutional and socio-economic structures.

Luis Eduardo Mella Gómez2026-09-08
📈 economics

Beyond One-Size-Fits-All: Decoding Heterogeneous Driving Factors of Urban Innovation in China through Interpretable Machine Learning

This study employs interpretable machine learning to reveal that urban innovation capabilities in China are driven by heterogeneous, nonlinear factors—such as innovation network density, economic density, and R&D investment—whose relative importance and activation thresholds vary significantly across city sizes, development stages, and administrative hierarchies, thereby advocating for tailored, context-sensitive innovation policies.

Mingming GUAN, Kaile JIANG, Bangjuan WANG, Yuting HOU2026-09-08