2020
DOI: 10.1186/s43093-020-00026-9
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Growth spillover: a spatial dynamic panel data and spatial cross section data approaches in selected Asian countries

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 count… Show more

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Cited by 5 publications
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“…It focuses on incorporating spatial dependence by including a spatially lagged dependent variable. SLM or SAR is a robust econometric model that has been insightfully used to analyze a variety of outcomes, including economic growth (Álvarez et al 2016;Amidi et al 2020), crime (Chanci et al 2023), COVID-19 cases (Guliyev 2020), and pollution (Xie et al 2019). In this model, the dependent variable for each spatial unit is regressed not only on the independent variables but also on the values of the dependent variable of nearby provinces (see Equation ( 1)).…”
Section: Spatial Lag Model (Slm) With Fixed Effectsmentioning
confidence: 99%
“…It focuses on incorporating spatial dependence by including a spatially lagged dependent variable. SLM or SAR is a robust econometric model that has been insightfully used to analyze a variety of outcomes, including economic growth (Álvarez et al 2016;Amidi et al 2020), crime (Chanci et al 2023), COVID-19 cases (Guliyev 2020), and pollution (Xie et al 2019). In this model, the dependent variable for each spatial unit is regressed not only on the independent variables but also on the values of the dependent variable of nearby provinces (see Equation ( 1)).…”
Section: Spatial Lag Model (Slm) With Fixed Effectsmentioning
confidence: 99%