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福利相关基础设施如何塑造经济增长的实证研究:来自欧盟地区的证据。

Empirical investigation on how wellbeing-related infrastructure shapes economic growth: Evidence from the European Union regions.

机构信息

Department of Business, Babes-Bolyai University, Cluj-Napoca, Romania.

Faculty of Economics, "1 Decembrie 1918" University of Alba Iulia, Alba Iulia, Romania.

出版信息

PLoS One. 2023 Apr 19;18(4):e0283277. doi: 10.1371/journal.pone.0283277. eCollection 2023.

Abstract

One of the most important policies of the European Union is regional development, which comprises measures of enhancing economic growth and citizens' living standards via strategic investment. Considering that economic growth and wellbeing are intertwined from the perspective of EU policies, this study examines the relationship between wellbeing-related infrastructure and economic growth in 212 NUTS 2 regional subdivisions across the members of Eu-28 during the period 2001-2020. We therefore analyzed data from 151 Western Europe regions and 61 Central and Eastern Europe regions by means of a panel data analysis with the first-difference generalized method of moments estimator. Our main interest was to determine the degree to which Western Europe regions responded to predictors as compared to Central and Eastern Europe regions. According to the empirical results, the predictors with the strongest influence for Western Europe regions were disposable household income, inter-regional mobility, housing indicator, labor force and participation. For Central and Eastern Europe regions, the largest impact was triggered by the housing indicator, internet broadband access and air pollution. In addition, we determined a relational weighted multiplex between all variables of interest by using dynamic time warping and we introduced topological measures in a multilayer multiplex model for both regional subsamples.

摘要

欧盟的一项重要政策是区域发展,其通过战略投资来提高经济增长和公民生活水平。从欧盟政策的角度来看,经济增长和福祉是相互交织的,因此本研究考察了 2001 年至 2020 年间欧盟 28 个成员国的 212 个 NUTS 2 区域细分中与福祉相关的基础设施与经济增长之间的关系。我们通过面板数据分析和一阶差分广义矩估计方法对来自 151 个西欧地区和 61 个中东欧地区的数据进行了分析。我们主要感兴趣的是确定与中东欧地区相比,西欧地区对预测因素的反应程度。根据实证结果,对西欧地区影响最大的预测因素是可支配家庭收入、区域间流动性、住房指标、劳动力和参与度。对于中东欧地区,住房指标、互联网宽带接入和空气污染则引发了最大的影响。此外,我们还通过动态时间规整确定了所有感兴趣变量之间的关系加权复合格网,并在多层复合格网模型中引入了拓扑测度,以分别对两个区域子样本进行分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a4/10115347/491d53617a29/pone.0283277.g001.jpg

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