欧盟结构基金对地方社会经济发展创新的影响

Robert Romanowski, Wojciech Kisiała, Bartosz Stępiński
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摘要

目的:本文的目的是在考虑空间效应和获得的与创新相关的欧盟资金对经济增长的影响的情况下,验证2007-2016年波兰地方层面的β-收敛过程。设计/方法/方法:在研究过程中使用了空间计量经济学方法。该模型使用经济总量,这是GDP衡量发展的另一种选择。此外,通过在可能影响经济增长率的估计模型的规范中加入定义空间相互作用的变量,对传统的收敛方程进行了修正。该研究涵盖了芬兰所有县(NTS4)的数据。研究发现:估算的计量经济模型显示,2007-2016年间,波兰县与县之间的经济不平等现象呈缓慢减少趋势。趋同过程取决于为创新获得的欧洲资金数额。在某一县获得的资金刺激了该单位的经济增长,同时对邻近单位的发展动态产生了负面影响。原创性/价值:这种阐述的附加价值在于将影响经济增长的空间效应纳入条件收敛的分析中。所提出的研究是少数几个通过在基于邻近、距离、流量和隶属关系的矩阵建模中包括权重来验证空间影响的研究之一,该研究使用与特定欧盟国家的所有NTS4单位有关的数据进行。关键词:β-收敛,欧洲基金,创新,空间效应,空间回归模型论文类别:研究论文。
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The impact of EU structural funds related to innovation in socio-economic development at a local level
Purpose: The aim of the paper is to verify the process of β-convergence at a local level in Poland within 2007-2016, taking the impact of spatial effects and obtained EU funds related to innovation on economic growth into account. Design/methodology/approach: Spatial econometric methods were used in the research procedure. The modelling uses the economic aggregate, which is an alternative to the GDP measure of development. In addition, the traditional convergence equations were modified by adding variables defining spatial interactions to the specifications of the estimated models that may affect the rate of economic growth. The study covers data from all counties (NTS4) in 2oland. Findings: The estimated econometric models showed that between 2007-2016, there was a slow process of reducing economic inequalities between counties in Poland. The convergence process was conditioned by the amount of European funds obtained for innovation. The funds acquired in a given county stimulated the economic growth of this unit while, at the same time, having negative impact on the development dynamics of neighbouring units. Originality/value: The added value of this elaboration is the inclusion of spatial effects affecting economic growth in the conducted analyses of conditional convergence. The presented study is one of a few in which the spatial impact was verified by including weights in the modelling of the matrix based on proximity, distance, flows and affiliation, carried out using data relating to all NTS4 units of a given European Union country. Keywords: β-convergence, European funds, innovation, spatial effects, spatial regression models. Category of the paper: research paper.
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