欧盟的明智增长进展:一种凝聚方法

V. Kozlovskij
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摘要

经济发展与社会经济凝聚力一直是科学研究的对象。特别是在2004年欧盟扩大和2007-2009年大衰退之后,这一问题成为人们关注的焦点。上述变化导致大多数欧盟国家的经济增长出现一定程度的放缓,同时引发了欧盟国家和地区之间的一系列分化过程。为了应对这种情况,欧盟提出了“欧洲2020战略”,其中提到智能增长是应对日益增加的威胁的关键手段之一。该研究的目的是在经济凝聚力概念的框架内评估2001-2017年欧盟主要智能增长指标(研发投资、就业率和接受高等教育的人口比例)的进展。本文试图从不同的角度来探讨欧盟。首先,对欧盟新成员国(EU-10)和旧成员国(EU-14)进行了比较。其次,欧盟国家按经济发展水平划分(以PPP计算的人均GDP):高度发达(H-7)、中等发达(M-7)和欠发达(L-7)国家。最后,计算了整个欧盟(EU-28)所有三个智能增长指标的总凝聚力指数。研究结果揭示了一些有趣的趋势。首先,每个智能增长指标的进展取决于各国的经济发展水平。较发达国家(EU-14、H-7和G-3)的总值始终高于欧盟平均水平(EU-28),欠发达经济体的总值基本较低。第二,2007-2009年经济衰退对智能增长指标的凝聚力进步产生了影响。认为在经济增长时期,凝聚力是明显的,但在经济危机的情况下,它的进步可能会停止或出现分歧。然而,尽管新老成员国之间的凝聚力不断增强,但某些国家集团之间的差距甚至在扩大。当欧盟成员国根据其经济发展水平进行分组时,这一点就很明显了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMART GROWTH PROGRESS IN EUROPEAN UNION: A COHESION APPROACH
Economic development and socioeconomic cohesion have always been an object of scientific research. In particular, this issue had become a focus of attention after EU enlargement in 2004 and Great Recession in 2007–2009. The above changes have given way to a certain slowdown in economic growth in most EU countries along with triggering a range of divergence processes between EU countries and regions. As a response to situation, the EU offered a Europe 2020 strategy, in which smart growth was mentioned as one of critical instruments to deal with increasing menaces. The objective of the study is to evaluate the progress of the main smart growth indicators (investment in research and development (R&D), employment rate and share of population obtaining tertiary education) in the EU over the period 2001–2017 within the framework of the economic cohesion concept. The paper seeks to explore the EU from different perspectives. First, the EU new member states (EU-10) and the old ones (EU-14) were compared. Second, the EU countries were divided by economic development level (calculated by GDP per capita in PPP): highly developed (H-7), medium developed (M-7) and less developed (L-7) countries. Finally, aggregate cohesion indices of all three smart growth indicators were calculated for the entire EU (EU-28). The research findings have revealed some interesting trends. First, each smart growth indicator’s progress depends on countries’ economic development level. Aggregate values for more developed countries (EU-14, H-7 and G-3) are always higher than the EU average (EU-28) and aggregate values for less developed economies are basically lower. Second, cohesion progress of smart growth indicators was influenced by economic recession in 2007–2009. It is argued that cohesion is evident in times of economic growth, but its progress ceases or divergence might occur in case of economic hazards. However, despite the expanding cohesion between the new and the old member states, a gap between certain groups of countries is even growing. This is clearly evident when the EU member states are divided into groups subject to the level of their economic development.
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