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Geographic Neighbourhood and Cluster Formation: Evidence from Indian Agriculture

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  • Tirtha Chatterjee
  • A. Ganesh-Kumar

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

Suggested Citation

  • Tirtha Chatterjee & A. Ganesh-Kumar, 2016. "Geographic Neighbourhood and Cluster Formation: Evidence from Indian Agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 52(11), pages 1577-1592, November.
  • Handle: RePEc:taf:jdevst:v:52:y:2016:i:11:p:1577-1592
    DOI: 10.1080/00220388.2016.1166211
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    Cited by:

    1. Otsuka, Keijiro & Ali, Mubarik, 2020. "Strategy for the development of agro-based clusters," World Development Perspectives, Elsevier, vol. 20(C).

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