2020
DOI: 10.1108/jes-03-2020-0134
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Asymmetries in the euro area and TFP growth: evidence from three major European economies

Abstract: PurposeIn this paper, the authors study the long-run determinants of total factor productivity (TFP) in three major European economies over the period 1983–2017, namely Germany, France and Italy.Design/methodology/approachThe authors focus on the capital misallocation effects, scale effects and labor misallocation effects. To this end, the authors study how real interest rate shocks, real exchange rate shocks, real wage shocks and changes in labor regulation affected TFP in major European countries over the la… Show more

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Cited by 8 publications
(11 citation statements)
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“…Thus, TFP growth depends not only on businesses-ability to innovate, but also on the environment that fosters competition, reduces administrative burdens, provides modern and efficient infrastructure, and allows easy access to finance (Bellocchi et al. 2020 ; Calcagnini et al 2019 ). Indeed, real, financial and institutional factors have all been analyzed both from a theoretical and empirical point of view.…”
Section: Literaturementioning
confidence: 99%
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“…Thus, TFP growth depends not only on businesses-ability to innovate, but also on the environment that fosters competition, reduces administrative burdens, provides modern and efficient infrastructure, and allows easy access to finance (Bellocchi et al. 2020 ; Calcagnini et al 2019 ). Indeed, real, financial and institutional factors have all been analyzed both from a theoretical and empirical point of view.…”
Section: Literaturementioning
confidence: 99%
“…Therefore, starting from these stylized facts, and some recent theoretical and empirical contributions (Bellocchi et al. 2020 ), we estimate two different specifications where interest rate and saving are employed alternatively to by-pass their positive correlation and the potential distorting effect of it on the dynamics of TFP. We specify the TFP relationship as follows: where is the error term with all unobserved factors, it denotes the observation on the cross-section unit at time t , for and .…”
Section: Database and Stylized Factsmentioning
confidence: 99%
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