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Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries

Author

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  • Sahar Amidi

    (Universite D’Orleans)

  • Ali Fagheh Majidi

    (University of Kurdistan)

  • Bakhtiar Javaheri

    (University of Kurdistan)

Abstract

One of the most fundamental issues worldwide is the economic interdependence of countries which affects their economic growth. Some new growth theorists such as Mankiw et al., Islam, Ertur and Koch, Lee, Yu and Yu Ho et al. consider geographical proximity and trade as spatial variables. This study aims to investigate the spatial effects of geographical distance on economic growth using the spatial dynamic panel data model and the spatial cross section data model for the period 1992–2016 in selected Asian countries. The findings demonstrate that the effect of spatial spillover or spatial dependency is one of the main causes of economic growth spillovers. In the spatial dynamic panel data model, log of gross domestic product (GDP), gross fixed capital formation and growth rate of labor force had negative, positive and negative impacts on economic growth, respectively. In the spatial cross-sectional data models including human capital, log of GDP, gross fixed capital formation and growth rate of labor force had negative impacts on economic growth, while in a model without human capital log of GDP, gross fixed capital formation and growth rate of labor force, respectively, had positive and negative effects on economic growth.

Suggested Citation

  • Sahar Amidi & Ali Fagheh Majidi & Bakhtiar Javaheri, 2020. "Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries," Future Business Journal, Springer, vol. 6(1), pages 1-14, December.
  • Handle: RePEc:spr:futbus:v:6:y:2020:i:1:d:10.1186_s43093-020-00026-9
    DOI: 10.1186/s43093-020-00026-9
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    Cited by:

    1. Giovanni Millo, 2022. "The generalized spatial random effects model in R," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-18, December.
    2. Costa de Arguibel Facundo & Sánchez Vargas Isabela & González Fernando Antonio Ignacio & Dip Juan Antonio, 2023. "Convergencia entre distritos argentinos: Un enfoque de econometría espacial," Asociación Argentina de Economía Política: Working Papers 4638, Asociación Argentina de Economía Política.

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    More about this item

    Keywords

    Economic growth; Spatial econometrics; Spillover effects; Human capital; Asia;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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