Anand Ganesh-Kumar

International competitiveness, investment and finance: A case study of India

1. Competitiveness, Investment and Finance: Analytical Links 2. The Policy Environment in India 3. The Balance of Payments and National Competitiveness 4. The Determinants of Sectoral Competitiveness 5. Outward Orientation: A Firm-Level Analysis 6. Finance Constraints, Persistent Exporting and Investment 7. Conclusions and Policy Implications

Mega External Preferential Trade Agreements and Their Impacts on Indian Economy

This study examines the impacts on India of three mega external preferential trading agreements (PTAs) from which the country is excluded using the Global Trade Analysis Project (GTAP) model combined with POVCAL poverty analysis tool. The simulation results show that each of these PTAs cause considerable trade diversion. However, the impacts on India’s trade flows, domestic output, returns to factors, aggregate welfare, inequality and poverty levels are rather small. In contrast, multilateral trade liberalization has significantly large and favourable impacts on all these variables. In particular, welfare improves by 1.7 per cent of GDP, inequality falls by over half percentage point and poverty head count lowers by 12.3 per cent over base levels under a multilateral free trade scenario. These results suggest that the country should continue with its efforts for achieving a multilateral trade agreement. At the same time, the country should hedge against the possibility that a global trade agreement does not materialize. One way to protect the country’s interest is to aggressively pursue preferential trading arrangements in parallel with key members of these three mega PTAs. This is likely to ensure that the country does not lose market share due to preference erosion.

Geographic Neighbourhood and Cluster Formation: Evidence from Indian Agriculture

Abstract We study an empirical occurrence largely overlooked in studies on income clusters: (i) most clusters include geographic neighbours and non-neighbours; and (ii) not all geographic neighbours are cluster-co-members. Using agricultural income across Indian states, we find a similar pattern in income-clusters over the last 45 years. Logistic regressions that consider state-pairs as the unit of analysis show that cluster membership is not driven by geographic variables but rather by non-geographic factors like weather shock, resource constraints, technology/input usage, extent of crop diversification, infrastructure, policy and institutions