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From Farming to International Business: The Social Auspices of Entrepreneurship in a Growing Economy Kaivan Munshi Brown University and NBER
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1. Introduction Business success depends on: Credit Connections Credit and connections are determined by: Family background Community networks Business communities cannot satisfy additional demand for entrepreneurs Entrepreneurs without business background will fill the gap Networks grow most vigorously in communities with poor outside options once they do crystallize Test this hypothesis with new data from the diamond industry
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The Survey List firms: GJEPC database 2001-03 Exit information 1995-2000
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Organization of the business Key step is accessing rough diamonds on credit Network provides referrals 10 rough suppliers/year vs. 40 polished buyers 70% of firms have a dominant supplier 70% of roughs sourced from Antwerp 75% of roughs received on supplier credit 6% of transactions have a written agreement
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Theoretical framework Production technology Network technology Selection into the industry Entry condition:
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Growth of the network ω t j declines more steeply in L-community implies network strengthens more rapidly in that community Solving recursively, can show that this will be the case if: i.Density is non-decreasing as we move down the ability distribution ii.Network technology is not too concave Firm performance: Controlling for ω i j with firm fixed effects, performance increases more steeply in the L- community
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Average entrant’s ability Assume linear network technology and uniform ability distribution Same result can be obtained for
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Alternative distributional assumptions Multiple cohorts Ability distribution F(ω) constant across cohorts Individuals enter industry at a fixed age Receive referrals from preceding cohort Ability distribution varies across communities
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Selection into the network Payoff inside the industry: Entry conditions: Selection thresholds:
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Additional results Investment in the network, measured by intra-industry marriage increases more rapidly in the L-community More non-network firms are drawn from the H-community and this gap widens over time Predictions for characteristics and performance unchanged
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Empirical analysis Changes in firm characteristics Allow for secular changes in outside options Control for age effects Changes in firm performance Allow outside options to change across communities and over time Control for changing returns inside the industry
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Conclusion No reason why such entry by outsiders could not be replicated elsewhere Infusion of bank credit can have unexpected negative consequences
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