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The objective of the chapter is to understand India's role in providing food security through trade with the ASEAN under the India-ASEAN Strategic Partnership. A dynamic panel has been employed to assess and estimate the said objective, given that India and most of the ASEAN countries are considered emerging markets. Econometric investigation points out that while almost more than half the variables in the augmented gravity model hold good, food imports from India, agricultural labour force, common maritime border, distance from India, food price index, food production index, GDP (size) of the importing country, per capita GDP of the importing economy, and trade openness have statistically significant effect on the food trade from India to the ASEAN. Improving maritime infrastructure and agri-logistics, investing in climate change and water management while augmenting the agri-labour productivity are of paramount importance in order to improve food trade between India and the ASEAN.

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The gravity model of trade (GMoT) has become popular among practitioners and academics lately, essentially because of its power to provide a comprehensive explanation of real-world trade data. Complementing this are Viner’s concepts of trade creation (TC) and trade diversion (TD), which have been crucial in the development of a conceptual framework for evaluating the trade implications of a trade agreement. This article attempts to conduct a bibliometric analysis for estimating TC and TD using the GoMT. It has been observed that the TC and TD estimations following the use of the GoMT are few. Additionally, TC and TD estimations for free trade agreements (FTA) have been conducted, but not so much for regional trade agreements (RTA). As a result, a broad range of research can be conducted, especially given the recent dynamic environment for new RTAs. A bibliometric analysis was undertaken to evaluate the current level of research on GMoT. The search was conducted through Scopus where 648 documents were retrieved and examined. The article indicates key findings and discusses future research prospects. JEL: F10, F13, F14