The relationship between TFP and innovation performance: evidence from EU regions

T. Kijek, A. Matras-Bolibok
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引用次数: 21

Abstract

Research background: Total factor productivity (TFP) determines how efficiently and intensely the available inputs are used and combined in production process. Improvement of TFP performance requires identification of its determinants, thus enabling policy actions to focus on them. Since the ability to create and absorb innovation is considered as a crucial factor of economic development, the investigation of the impact of the level of regional innovative performance on TFP distribution across EU regions is an important research problem. Purpose of the article: The aim of the paper is twofold. Firstly, we attempt to develop a theoretical framework for the analysis of the impact of innovation on TFP. Secondly, we assess TFP levels for regions in the EU and investigate whether innovations account for the observed regional disparities in TFP. Methods: The research sample consists of 202 European Union (EU) regions at NUTS 1 and NUTS 2 level from 22 countries. The regional data on GDP, employment and gross fixed capital formation come from the Eurostat. The source of data on the level of innovativeness of European regions is the Regional Innovation Scoreboard. To calculate TFP, we use the multiplicatively-complete Fare-Primont index. In turn, to examine the impact of innovation on TFP, we employ the spatially-lagged X model. Findings & Value added: Our findings show a high degree of dispersion in TFP across EU regions. We find a positive impact of regional innovation performance on TFP. Although theoretical papers on economic development and regional economics suggest that improvements in TFP are key to regional economic performance, and that innovations are crucial to gain such productivity effects, there is a dearth of empirical studies on the link between innovation and TFP at the regional level. Therefore, our paper attempts to fill this gap by providing the evidence of positive effect of innovation externalities on TFP in European regions.
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TFP与创新绩效的关系——来自欧盟地区的证据
研究背景:全要素生产率(TFP)决定了生产过程中可用投入的使用和组合的效率和强度。提高全要素生产率的绩效需要确定其决定因素,从而使政策行动能够集中于这些决定因素。由于创造和吸收创新的能力被认为是经济发展的关键因素,因此研究区域创新绩效水平对欧盟区域全要素生产率分布的影响是一个重要的研究问题。文章的目的:本文的目的是双重的。首先,我们试图构建一个分析创新对全要素生产率影响的理论框架。其次,我们评估了欧盟地区的TFP水平,并调查了创新是否解释了观察到的TFP区域差异。方法:研究样本包括欧盟(EU) 22个国家202个处于NUTS 1和NUTS 2水平的地区。有关GDP、就业和固定资本形成总额的地区数据来自欧盟统计局(Eurostat)。欧洲地区创新水平的数据来源是区域创新记分牌。为了计算TFP,我们使用乘完备的Fare-Primont指数。反过来,为了检验创新对全要素生产率的影响,我们采用了空间滞后X模型。研究结果与增加值:我们的研究结果表明,欧盟各地区的TFP存在高度分散。研究发现,区域创新绩效对全要素生产率有正向影响。虽然关于经济发展和区域经济学的理论论文认为,全要素生产率的提高是区域经济绩效的关键,而创新是获得这种生产率效应的关键,但在区域层面上,创新与全要素生产率之间的联系缺乏实证研究。因此,本文试图通过提供创新外部性对欧洲地区全要素生产率的积极影响的证据来填补这一空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.20
自引率
3.50%
发文量
28
审稿时长
36 weeks
期刊介绍: Equilibrium. Quarterly Journal of Economics and Economic Policy is a scientific journal dedicated to economics, which is the result of close cooperation between the Instytut Badań Gospodarczych/Institute of Economic Research (Poland) and Polish Economic Society and leading European universities. The journal constitutes a platform for exchange of views of the scientific community, as well as reflects the current status and trends of world science and economy. The journal especially welcome empirical articles making use of quantitative methods in: Macroeconomics and Monetary Economics, International Economics, Financial Economics and Banking, Public Economics, Business Economics, Labor and Demographic Economics, Economic Development, and Technological Change, and Growth. Current most preferable topics and special issues: The economics of artificial intelligence: business potentials and risks; Digitalization and entrepreneurship in economics; Sustainable socio-economic development, environmental and ecological economics; Transition in the energy market (improving energy efficiency, alternative energy sources, renewable energy, energy security).
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