This paper analyses the determinants of the location choices made by foreign investors at the district level in India to gauge the relative importance of economic geography factors, local business conditions, institutional conditions and the presence of previous foreign investors. We employ a discrete‐choice model and Poisson regressions to control for the potential violation of the assumption of independence of irrelevant alternatives. Our sample includes about 19,500 foreign investment projects approved in 447 districts from 1991 to 2005. We find that foreign investors strongly prefer locations where other foreign investors are. This effect is significantly positive and robust across different years, sectors and different types of foreign direct investment (FDI). Moreover, path dependence remains significantly positive when controlling for institutional conditions at the state and district level. Foreign investors tend to follow not only previous investors from the same country of origin but also investors from other countries of origin. They are also attracted to industrially diverse locations and to districts with better infrastructure and institutional conditions, although these findings are less robust. Surprisingly, districts in the neighbourhood of large metro areas do not benefit, in terms of attracting more FDI, from having easier access to these markets than remote Indian districts. On the contrary, our results suggest that large metro areas divert FDI projects away from neighbouring districts, thereby perpetuating or even widening the urban–rural divide. We conclude that the concentration of FDI in a few locations could fuel regional divergence in post‐reform India.

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Innovation is crucial to regional economic competitiveness and to productivity growth. A salient feature of the Indian economy is the geographic concentration of both, economic activity and innovation; the latter measured by patent activity. Theoretical models argue that the clustering of economic activity within a geographic region results in knowledge spillovers, which in turn drives innovation. The literature also posits that the presence of human capital is critical to the generation of new knowledge. This paper studies how and why economic geography and factor endowments matter for innovative activity -in other words, what is the relationship between human capital and patent generation, and crucially, how is this affected by the spatial distribution of economic activity? Terms of use: Documents inThe paper analyses patent activity (applications) between 1999 and 2007 across districts in India. By using an econometric model, it estimates the effects of R&D expenditures, economic clustering and the distribution of human capital endowments in generating innovation. I find that apart from R&D spending, agglomeration economies and the skill-set of workers have a significant effect on patent activity in a district. The estimates are robust to simultaneity bias, to different model specifications and to the type of applicant. Understanding the magnitude of the effects of economic geography and factor endowments is vital for policy formulation aimed at encouraging innovative activity.JEL Classification: R12, O3

This paper offers a comprehensive analysis of poverty in India. It shows that regardless of which of the two official poverty lines we use, we see a steady decline in poverty in all states and for all social and religious groups. Accelerated growth between fiscal years 2004–2005 and 2009–2010 also led to an accelerated decline in poverty rates. Moreover, the decline in poverty rates during these years has been sharper for the socially disadvantaged groups relative to upper caste groups so that we now observe a narrowing of the gap in the poverty rates between the two sets of social groups. The paper also provides a discussion of the recent controversies in India regarding the choice of poverty lines.