1072 papers
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.
This paper quantifies the adaptation externality in China's coal power system, finding that while local cooling benefits are enjoyed near the point of use, the resulting increase in coal-fired emissions imposes measurable downwind pollution costs on neighboring provinces, particularly affecting low-income receptor areas.
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.
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.
This study of Indonesia's palm oil industry reveals that while Green Human Capital and Green Capability directly enhance Corporate Sustainability Performance, Green Innovation acts as a selective mediator that translates Green Capability and Green Knowledge Management into sustainability outcomes, whereas Green Human Capital follows a distinct, non-mediated pathway.
This study analyzes ten years of data across four key Indian sectors and finds that investors exhibit anti-herding behavior under both normal and extreme market conditions, including the Covid-19 crisis, suggesting that Indian stock movements are fundamentally driven and reflect investor maturity.
This paper proposes a multi-period mean-variance interval portfolio selection model incorporating cardinality constraints and realistic market frictions, which is solved via forward dynamic programming and empirically validated to demonstrate that moderate portfolio size optimizes wealth while investor sentiment significantly amplifies returns over time.
This paper demonstrates that while public blockchains provide transparent access to fragmented liquidity, high transaction-level routing costs on networks like Ethereum drastically erode potential multi-venue gains, revealing that economically integrated execution is an order-specific property determined by access costs rather than mere connectivity.
This study utilizes a panel GARCH model on CAC 40 firms to demonstrate that while strong ESG performance effectively mitigates firm-specific stock volatility, its risk-reducing capacity is significantly overwhelmed by systemic risks during periods of monetary tightening and high inflation.
This study utilizes linked survey and administrative data alongside multiple econometric methods to demonstrate that misreporting of private health insurance status significantly biases estimates of its impact on healthcare utilization, often leading to substantial overestimation of the effect on primary care and specialist visits.