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Total factor productivity drivers in the selected EU countries: Cointegration approach

Zoran Borović et al · Faculty of Economics University of Rijeka · 2020

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In this paper, we will present the results of our survey on TFP and its main drivers. For this purpose, our analysis is based on a sample of thirteen EU countries for the period 1995 - 2016. In the first iteration, we have estimated the TFP for selected countries. The main goal of this paper is to determine the existence of a long-run relationship, ie. cointegration between the TFP and its main drivers. To do so, in the second iteration we have used the relatively new panel ARDL (Autoregressive Distributed Lag) model proposed by Pesaran (1997) and Pesaran and Shin (1999). The obtained results in this paper reveal the existence of a long-term relationship, i.e. co-integration between the TFP on one hand, and R&D, and ICT, on the other hand, confirming the basic hypothesis that there is a long-term and statistically significant relationship, i.e. co-integration between the above-mentioned variables.

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APA 7

al, Z. B. E. (2020). Total factor productivity drivers in the selected EU countries: Cointegration approach. https://doi.org/10.18045/zbefri.2020.1.295

MLA

al, Zoran Borović et. "Total factor productivity drivers in the selected EU countries: Cointegration approach." 2020. https://doi.org/10.18045/zbefri.2020.1.295.

Chicago

al, Zoran Borović et. 2020. "Total factor productivity drivers in the selected EU countries: Cointegration approach.". https://doi.org/10.18045/zbefri.2020.1.295.

Harvard

al, Z. B. E. 2020, Total factor productivity drivers in the selected EU countries: Cointegration approach, Faculty of Economics University of Rijeka, available at: https://doi.org/10.18045/zbefri.2020.1.295 [Accessed 30 Jun. 2026].

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Título
Total factor productivity drivers in the selected EU countries: Cointegration approach
Autor / colaboradores
Zoran Borović et al
Editorial
Faculty of Economics University of Rijeka
Año de publicación
2020
ISSN
1331-8004
ISSN
1331-8004
Idioma
eng

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