1847 papers
Using 2019 AIDIS data and a probit regression model, this study analyzes how demographic and socio-economic factors influence Indian household financial behavior, revealing that while bank deposits are the dominant asset, participation in advanced financial products remains limited and is significantly shaped by gender, age, education, occupation, and regional development.
This study utilizes a systematic analysis of 96 global discourse units to propose a multi-layered embeddedness framework that explains how Organized Innovation Spaces strategically orchestrate seven distinct forms of value creation, evolving from technocentric infrastructures into human-centric societal anchors within the Innovation 5.0 paradigm.
This study of Borsa Istanbul city indices from 2017 to 2025 finds that while local air pollution (PM₁₀ and NO₂) does not systematically affect stock returns, it significantly influences trading activity and short-term volatility, suggesting environmental risks are more clearly reflected in market dynamics than in average prices.
This study employs a systematic literature review to demonstrate that exporting clean agricultural products creates a dual welfare benefit, significantly improving smallholder livelihoods and reducing global disease burdens, provided these outcomes are supported by coordinated global value chain governance structures.
This study demonstrates that implementing an AI-powered Microsoft Power BI dashboard at Emerald Jewel Industry India Ltd significantly enhances revenue optimization by transforming fragmented data into actionable insights, as validated by strong statistical correlations and high user acceptance among staff.
Using longitudinal panel data from Nigeria, this study reveals that while gender segmentation persists with women concentrated in low-productivity sectors, employment in higher-productivity formal service sectors significantly enhances household resilience and food security, underscoring the need for gender-responsive labor policies to drive inclusive structural transformation.
This paper analyzes shock-dependent Phillips Curve dynamics across six African countries from 1980 to 2024 using advanced econometric methods, revealing significant cross-country heterogeneity in how structural shocks nonlinearly affect economic growth and exchange rates, thereby highlighting the need for state-contingent monetary policies.
This paper analyzes macroeconomic convergence in six North African countries from 1980 to 2024 and finds that while inflation and exchange rates exhibit weak stochastic convergence, economic growth remains non-convergent, resulting in a distinct two-group club pattern and highlighting the need for complementary policies to foster regional integration.
This paper utilizes panel econometric models on African data from 2000 to 2024 to demonstrate that inflation-targeting regimes foster greater macroeconomic stability and faster shock adjustment compared to non-targeting regimes, primarily due to enhanced policy credibility and anchored expectations.
Using a Panel Structural Vector Autoregression (PSVAR) model, this study reveals that global, US, and domestic uncertainty shocks significantly and persistently impact inflation and monetary policy rates across BRICS nations, with asymmetric negative effects observed in Brazil, India, South Africa, and Saudi Arabia compared to China's relative resilience, thereby underscoring the need for tailored policy coordination to mitigate macroeconomic volatility.