http://irgu.unigoa.ac.in/drs/handle/unigoa/10 Mon, 20 Apr 2026 12:00:03 GMT 2026-04-20T12:00:03Z http://irgu.unigoa.ac.in/drs/handle/unigoa/7810 COVID-19, policy responses, and stock returns: Evidence from developed and emerging G20 markets Shirodkar, E.S.; Reddy, Y.V. This study examines the impact of the COVID-19 pandemic on G20 stock market returns and assesses its effects on both developed and emerging economies over an extended period. The study utilized daily closing prices and relevant COVID-19-related data from 1 January 2020 to 31 December 2022. A panel data regression analysis was conducted to investigate the effects of COVID-19 case growth, fatalities, and government interventions on stock market returns. The results revealed that growth in COVID-19 confirmed cases has a statistically significant negative impact on stock market returns in developed economies, indicating that an increase in confirmed cases is associated with a decline in stock market returns. Government support aimed at mitigating the impact of COVID-19 has a statistically significant negative effect on the stock market returns of emerging economies, suggesting that economic support announcements are associated with lower stock market returns. This study aims to empower investors to make informed investment choices based on their economic circumstances, thereby reducing potential negative impacts on their investments. It will also enable regulators to implement safeguarding measures to prevent adverse effects if a similar health crisis recurs in the future. Thu, 01 Jan 2026 00:00:00 GMT http://irgu.unigoa.ac.in/drs/handle/unigoa/7810 2026-01-01T00:00:00Z http://irgu.unigoa.ac.in/drs/handle/unigoa/7802 Convergence and clustering of agricultural exports from India: A dynamic analysis of competitiveness and specialisation Pires, A.; SarathChandran, B.P. This study examined the competitiveness of agricultural exports from 1991 to 2020 in India by assessing convergence and divergence across 24 agricultural subsectors. Using dynamic measures of comparative advantage, the analysis applies ?- and ?-convergence of the Revealed Symmetric Comparative Advantage (RSCA) index and the Trade Balance Index (TBI), along with hierarchical clustering to capture long-run competitiveness patterns beyond static RCA measures. The findings reveal significant ?-convergence in RSCA (-0.41), indicating that initially weaker subsectors, such as dairy, processed foods, and vegetables, have strengthened over time. Despite declines in cereals and tobacco, TBI results show an overall improvement in export performance. Cluster analysis highlights a shift toward value-added and horticultural products, while bulk commodities exhibit stagnation. The study underscores the unevenness of structural transformation and emphasises the importance of policies that promote quality, branding, logistics, and diversification into high-value agricultural exports. Wed, 01 Jan 2025 00:00:00 GMT http://irgu.unigoa.ac.in/drs/handle/unigoa/7802 2025-01-01T00:00:00Z http://irgu.unigoa.ac.in/drs/handle/unigoa/7791 Nature and human well-being: Theory, policy and practice [Editorial] Mukhopadhyay, P. Thu, 01 Jan 2026 00:00:00 GMT http://irgu.unigoa.ac.in/drs/handle/unigoa/7791 2026-01-01T00:00:00Z http://irgu.unigoa.ac.in/drs/handle/unigoa/7783 How finfluencers' content streaming on social media affects audiences' investment behavior: a PLS-SEM approach Velip, S.P.; Jambotkar, M. The rise of finfluencer's financial content communication on social media platforms has transformed how individual investors absorb financial information and execute investment decisions. Considering this critical research theme, this study explores how finfluencers, as new-age attention-based economic agent within the digital media ecosystem, stimulate emotions, intentions and reframe the investment behavior with their specific financial narratives. The structural relationship and mediation model are empirically validated using partial least squares structural equation modeling (PLS-SEM) based on survey data from Indian retail investors.' The results demonstrate that the emotional engagement perceived from asset tips and financial education influences investment intention and behavior. Trading strategies, investment reviews and market analysis of the other conjunctions failed to have a notable effect. The findings imply that the investor's response to finfluencer content is molded less by rational utility maximization and more driven by behavioral and informational economics notions. This provides useful insights for finfluencers, educators and policymakers seeking to promote more informed and intellectually balanced financial communication strategies and investment behavior in the digital economy. Thu, 01 Jan 2026 00:00:00 GMT http://irgu.unigoa.ac.in/drs/handle/unigoa/7783 2026-01-01T00:00:00Z