Geography and exporting behavior : evidence from India

This paper examines locational factors that increase the odds of a firm's entry into export markets and affect the intensity of its participation. It differentiates between two different sources of spillovers: clustering of general economic activity and that of export-oriented activity. It also focuses on the effect of the business environment and that of institutions at the spatial unit of districts in India. The study disentangles the within-industry effect from the within-firm effect. A simple logit specification is used to model the probability of entry. The analysis is based on a panel of manufacturing firms in India, which allows for the introduction of firm-specific controls and a battery of fixed effects. The findings suggest that exporter-specific clustering, general economic agglomeration, and institutional factors affect firms'export behavior.Microfinance,Transport Economics Policy&Planning,Water and Industry,Economic Theory&Research,E-Business

Does agglomeration boost innovation? An econometric evaluation

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, as 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? The paper analyses patent activity, both applications and grants, between 1995 and 2004 across districts in India. By using an econometric model, it then relates innovation to measures of agglomeration, industry-type and the size distribution of firms, and to the distribution of human capital endowments. It also uses data on employment by industrial activity, productivity and FDI flows. Understanding the magnitude of the effects of economic geography and factor endowments is vital for policy formulation aimed at encouraging innovative activity

Trade integration, economic geography and productivity: The Indo-Sri Lanka FTA

Although there is much empirical evidence to show that good firms become exporters, the literature is less lucid regarding the benefits of exporting. This paper disentangles the direction of the causality to show that exporting improves firm performance. It uses Indian plant-level data (over 1995-2008) for 330 firms across six product categories, which experienced sharp increases in exports to Sri Lanka, which then became an important destination market for these products. I generate measures of total factor productivity by estimating production functions using plant-level physical output data. To deal with the problem of self-selection bias, I use instrumental variables that predict export status but are uncorrelated with unobserved productivity. As a robustness check, I model the exporting decision explicitly and jointly estimate it with the production function. I follow Levinsohn and Petrin (2003) and use intermediate inputs to deal with the simultaneity problem. I also conduct panel-data regressions at the industry (4-digit NIC) level to estimate the relationship between productivity and measures of international exposure, such as export shares. I also study how firm performance differs with regards to firm location, and model the effects of economic geography variables such as market access and agglomeration. This paper contributes to the empirical literature by measuring the effects of learning-by-exporting, and makes the case that these effects are more significant for firms that enjoy the advantages of geography

Essays in trade and economic geography

This thesis tests the predictions of theoretical models of trade and economic geography using micro-data from India. As part of a large, poor and rapidly developing country, Indian households receive a disproportionate share of attention from development economists. However, there remain large gaps in the understanding of its other microentities – firms. In Chapter 1, I use detailed panel-level data on 8,253 manufacturing firms from 1990 to 2008 and demonstrate how firms that export differ from their counterparts who cater to the domestic market. After identifying the extent to which the act of exporting drives these differences, I provide evidence that Indian exporters performed better than nonexporters at the outset, and that exporting positively impacts further productivity increases. In Chapters 2, 3 and 4, I focus on how economic activity in India organises itself along economic geography factors. Chapter 2 studies firms in the Indian informal sector, who have largely escaped close scrutiny before. Using data from national sample surveys on over 4 million manufacturing and services enterprises, I find that firms choose to locate in particular districts across the country. I show that existing agglomeration within these locations, such as that of intermediate buyers and suppliers, is driving the location decisions of new firms. In Chapter 3, using previously inaccessible data on inward FDI, I find that foreign investors also show evidence of clustering and that existing agglomeration and the business environment jointly drive this behaviour. In Chapter 4, I collect data from the Indian Patent Office and my analysis concludes that regional innovation is largely a function of public research and development and economic clustering. In summary, this thesis uses new data and robust methodological approaches to provide important economic insights into the workings of firms in India and the factors affecting their productivity and their location decisions

Growth, Openness and the Socially Disadvantaged

We offer a comprehensive analysis of the evolution of poverty by social groups in India since 1983 and study the impact of growth and openness on the headcount ratio. We show that at the national level poverty has declined with every successive quinquennial survey in both rural and urban areas for the Scheduled Castes (SC), Scheduled Tribes (ST) and the non-Scheduled (NS) population. We conclude that there is no statistically significant evidence whatsoever that rising per-capita incomes and increased openness have hurt any of the three broad social groups. Beyond this bottom line, we find that per-capita income has a negative and statistically significant effect on poverty levels for the SC, non-Scheduled groups and all groups taken together. The effect on poverty levels for the SC is negative but statistically insignificant. We also find the effect of one or more measures of openness on poverty reduction to be positive and statistically significant in rural and urban areas and in both regions taken together for the SC and non-Scheduled groups, although for the ST the effect is statistically significant in urban areas only

The location choices of foreign investors: A districtlevel analysis in India

This paper analyzes 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, 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 1991-2005. We find that foreign investors strongly prefer locations where other foreign investors are. They are also attracted to industrially diverse locations and those with better infrastructure. We conclude that the concentration of FDI in a few locations could fuel regional divergence in post-reform India

Industry and the urge to cluster: a study of the informal sector in India

This paper studies the determinants of firm location choice at the district-level in India to gauge the relative importance of agglomeration economies vis-à-vis good business environment. A peculiar characteristic of the Indian economy is that the unorganised nonfarm sector accounts for 43.2% of NDP and employs 71.6% of the total workforce. I analyse National Sample Survey data that covers over 4.4 million firms, in both unorganised sectors – manufacturing and services. The empirical analysis is carried out using count models, and I instrument with land revenue institutions to deal with possible endogeneity bias. I find that buyer-suppler linkages and industrial diversity make a district more attractive to economic activity, whilst the quality and level of infrastructure are also important. I conclude that public policy may be limited in its ability to encourage relocation of informal firms