2011
DOI: 10.1007/s11187-011-9367-y
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Vertical integration and efficiency: an application to the Italian machine tool industry

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Cited by 24 publications
(25 citation statements)
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References 34 publications
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“…Finally, the level of vertical dis-integration, measured as the ratio of external costs over total costs, accounts for differences in outsourcing strategies and vertical boundaries and shows a strongly positive impact on technical efficiency. This result suggests that outsourcing represents a valid instrument for increasing productivity levels, and is consistent with the results of Pieri and Zaninotto (2013) and Manello et al (2015).…”
Section: Second Stage Phasesupporting
confidence: 89%
“…Finally, the level of vertical dis-integration, measured as the ratio of external costs over total costs, accounts for differences in outsourcing strategies and vertical boundaries and shows a strongly positive impact on technical efficiency. This result suggests that outsourcing represents a valid instrument for increasing productivity levels, and is consistent with the results of Pieri and Zaninotto (2013) and Manello et al (2015).…”
Section: Second Stage Phasesupporting
confidence: 89%
“…In line with the literature, we control for size, age, group, and innovation, and the firm's involvement in FDIs (see, for instance, Navaretti et al 2011;Giovannetti et al 2013;Bartoli et al 2014). We also explicitly control for the firm's network participation at local, domestic, Pieri and Zaninotto (2013), in a study on the Italian machinery tool industry, find that: ''the most efficient builders of MTs choose integrated structures, while less efficient firms choose to outsource part of their production process by buying intermediate inputs from other firms.'' (p. 413).…”
Section: Empirical Analysismentioning
confidence: 99%
“…However, as noticed by Farsi, Filippini and Greene () the TRE model can suffer from the “unobserved variables bias.” In line with Mundlak (), these authors proposed an adjustment based on an auxiliary equation with the group‐means of the explanatory variables, e.g., inputs L and K . The TREM has been successfully implemented in recent studies to correct the TRE model and account for possible correlations between η i and (inputs) explanatory variables (Castiglione et al ; Pieri & Zaninotto, ). The TREM introduces the within‐group means by: ηi=λ1trueL¯i+λ2trueK¯i+ξi, where trueX¯i=1Tit=1TtrueX¯it,trueX¯false{trueL¯,trueK¯false} are metropolitan area‐specific means, and ξi.i.d..5emNfalse(0,σξ2false).…”
Section: Methodological Approachmentioning
confidence: 99%
“…The TREM has been successfully implemented in recent studies to correct the TRE model and account for possible correlations between i and (inputs) explanatory variables (Castiglione et al 2018;Pieri & Zaninotto, 2013). The TREM introduces the within-group means by:…”
Section: Methodological Approachmentioning
confidence: 99%
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