1127 papers
This study demonstrates that technology-transfer taxonomies constructed on broad industry populations often lack selection validity for young SMEs, showing that recalibrating R&D criteria specifically to the target SME population significantly improves screening accuracy for identifying high-growth firms compared to using standard OECD sector classifications.
This study investigates the impact of supply chain integration on sustainable competitive advantage among large-scale food and beverage manufacturers in Addis Ababa and Sheger, Ethiopia, and concludes that despite robust model fit, the direct relationship between the two variables is statistically negligible, leading to the rejection of the proposed hypothesis.
This study of 20 Indian states from 2001 to 2022 finds that partisan alignment between state and central governments significantly improves justice outcomes for Scheduled Caste rape victims—increasing reporting, convictions, and trial efficiency—with a notably sharp reporting boost observed specifically under BJP-aligned regimes compared to INC-aligned ones.
This paper develops and calibrates a continuous-time optimal-control model to demonstrate that cross-country disparities in chronic disease burdens and health spending are driven by structural differences in health-system productivity rather than policy errors, implying that simply increasing low-income countries' health spending without improving productivity yields minimal welfare gains.
This study of 95 non-financial Egyptian firms (2020–2024) reveals that while managerial ownership and prolonged audit delays increase stock price crash risk, institutional and family ownership mitigate it, with audit delay acting as a significant moderator that alters the impact of various ownership structures on tail risk.
This paper proposes a simulation-based extension of structural econometric estimation to measure technological innovation's impact on macroeconomic growth, finding that while the US has significantly outperformed its optimal growth path since the 2000s due to IT-driven innovation, Japan has lagged behind due to offsetting macroeconomic inefficiencies, though the method's accuracy remains limited by current estimates of intertemporal elasticity of substitution.
This study utilizes Quantile Vector Autoregression and R²-based connectedness models to demonstrate that seven major African stock markets are deeply integrated with global geopolitical, oil, energy, and climate policy uncertainties, revealing that these spillovers are asymmetric and regime-dependent, with geopolitical and oil risks acting as dominant shock transmitters while specific African markets like NSE, DSE, and CSE serve as net transmitters amidst varying market conditions.
This study analyzes 2001–2022 data for Kenya, Uganda, and Rwanda to reveal that while environmental taxes can reduce carbon emissions, their effectiveness is nonlinear and limited to specific category-dependent thresholds, beyond which additional levies yield diminishing or counterproductive results.
Using patent data from 296 Chinese cities and a generalized structural equation model, this study reveals a converging superlinear relationship and positive feedback cycle between urban economic scale and innovation networks, where economic scale drives network formation more strongly through labor matching, while industrial agglomeration creates negative lock-in effects and policy pathways remain context-dependent.
By combining quantitative trade analysis with qualitative interviews, this paper reveals that the emerging global market for used electric vehicles is driven by five distinct enabling conditions that currently foster an inequitable "trickle-down" transition favoring wealthier nations, thereby necessitating urgent policy interventions to address environmental justice and sustainability concerns.