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Spatial econometrics of multiregional growth: The case of India

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  • Adriana Kocornik‐Mina

Abstract

The focus of this paper is the simultaneous growth of a system of spatial units with India the case for empirical testing. The framework used to model the multiregional dynamics is consistent with spatial theory and spatial econometrics. It builds on the work by Arbia and Paelinck, which proposes a model based on the classical Lotka‐Volterra predator‐prey system to consider potential convergence dynamics of regions. The paper proposes a different method to estimate dynamic interdependencies and in its empirical exercise distinguishes between dynamics that may arise from geographic proximity and those that may arise from equivalent structures. Resumen Este artículo concentra su atención en el crecimiento simultáneo de un sistema de unidades espaciales con la India como caso para estudio empírico. El marco utilizado para modelizar las dinámicas multirregionales está en consonancia con la teoría espacial y la econometría espacial. Se basa en el trabajo de Arbia y Paelinck, que propone un modelo basado en el sistema clásico de predador‐presa de Lotka‐Volterra para considerar posibles dinámicas de convergencia regionales. El artículo propone un método diferente para estimar interdependencias dinámicas y en su desarrollo empírico distingue entre aquellas dinámicas que pueden resultar de la proximidad geográfica y las que pueden resultar de estructuras equivalentes.

Suggested Citation

  • Adriana Kocornik‐Mina, 2009. "Spatial econometrics of multiregional growth: The case of India," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 279-300, June.
  • Handle: RePEc:bla:presci:v:88:y:2009:i:2:p:279-300
    DOI: 10.1111/j.1435-5957.2009.00244.x
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    1. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    2. Viriya Taecharungroj, 2024. "Which Economic Sectors Influence Average Household Income? A Spatial Econometric Study of Thailand’s 76 Provinces," Economies, MDPI, vol. 12(2), pages 1-26, January.

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