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<title>Goa Business School</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/10" rel="alternate"/>
<subtitle/>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/10</id>
<updated>2026-03-13T16:55:18Z</updated>
<dc:date>2026-03-13T16:55:18Z</dc:date>
<entry>
<title>Convergence and clustering of agricultural exports from India: A dynamic analysis of competitiveness and specialisation</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/7802" rel="alternate"/>
<author>
<name>Pires, A.</name>
</author>
<author>
<name>SarathChandran, B.P.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/7802</id>
<updated>2026-03-10T06:31:33Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">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.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Nature and human well-being: Theory, policy and practice [Editorial]</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/7791" rel="alternate"/>
<author>
<name>Mukhopadhyay, P.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/7791</id>
<updated>2026-02-11T05:43:17Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Nature and human well-being: Theory, policy and practice [Editorial]
Mukhopadhyay, P.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>How finfluencers' content streaming on social media affects audiences' investment behavior: a PLS-SEM approach</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/7783" rel="alternate"/>
<author>
<name>Velip, S.P.</name>
</author>
<author>
<name>Jambotkar, M.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/7783</id>
<updated>2026-02-02T07:16:14Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">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.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Assessing the drivers of India's agricultural export growth: Scale, competitive and interaction effects</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/7782" rel="alternate"/>
<author>
<name>Pires, A.</name>
</author>
<author>
<name>SarathChandran, B.P.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/7782</id>
<updated>2026-02-02T07:15:44Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Assessing the drivers of India's agricultural export growth: Scale, competitive and interaction effects
Pires, A.; SarathChandran, B.P.
India's agricultural exports experienced significant growth between 1991 and 2020, and this study analyzes the drivers of that growth using the Constant Market Share (CMS) methodology, which decomposes export performance into scale, competitive, and second-order effects. Most existing CMS studies on India focus on short periods and broad product groups, with limited partner-wise and product-wise detail and little attention to second-order effects. This paper addresses this gap by providing a detailed long-term assessment of India's agricultural export performance. The results show that the scale effect is the principal driver of export growth, accounting for nearly 60 percent of the total increase, largely reflecting favorable international market conditions. Competitive effects vary across product categories, with market share gains in meat, cereals, and tobacco, while sugar, beverages, and vegetable plaiting materials experienced declining competitiveness. The second-order effect, which captures interactions between structural demand shifts and competitiveness, shows a mixed pattern and offsets nearly 20-30 percent of potential gains in several cases, indicating India's limited ability to consistently exploit favorable global demand. Products such as edible fruits and beverages illustrate this mismatch, whereas exports of live animals and sugar benefited from stronger structural alignment. The findings highlight important policy implications, emphasizing product diversification, quality upgrading, improved logistics, and stronger market intelligence to enhance agricultural export competitiveness.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
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