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A spatial autoregressive panel model to analyze road network spillovers on production

机译:一种空间自回归面板模型,用于分析生产中的道路网络溢出

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The production function approach is used to introduce the effect of public infrastructure on economic growth focusing on its spillover effects. We improve the existing literature both from a conceptual and methodological perspective. As regressors we incorporate variables related to the new concepts of internal and imported transport infrastructure capital stocks, which are actually used in commercial flows, calculated by network analysis performed in GIS. The internally used capital stock represents own infrastructure that benefits accessing markets within the region itself, while the imported capital stock captures the spillover effect associated to the use of the infrastructure situated in neighboring regions. From a methodological perspective, we introduce spatial interdependence into these models, applying the most recent spatial econometric techniques based on instrumental variables estimation in spatial autoregressive panel models in comparison with Maximum Likelihood estimation methods. We illustrate the methodology with Spanish provincial panel data for the period 1980-2007. Results support the hypothesis that the imported capital has a positive spillover effect on production. (C) 2016 Elsevier Ltd. All rights reserved.
机译:生产函数法用于介绍公共基础设施对经济增长的影响,重点是其溢出效应。我们从概念和方法论的角度改进现有文献。作为回归器,我们结合了与内部和进口运输基础设施资本存量的新概念相关的变量,这些变量实际用于商业流程,通过GIS中的网络分析来计算。内部使用的资本存量代表了自己的基础设施,可从该地区自身的市场准入中受益,而进口的资本存量则捕获了与邻近地区基础设施的使用相关的溢出效应。从方法论的角度,我们将空间相互依赖关系引入这些模型,与最大似然估计方法相比,将基于工具变量估计的最新空间计量经济学技术应用于空间自回归面板模型。我们用1980-2007年西班牙省级面板数据说明了该方法。结果支持以下假设:进口资本对生产具有积极的溢出效应。 (C)2016 Elsevier Ltd.保留所有权利。

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