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What Drives Firm Profitability? A Comparison of the US and EU Food Processing Industry

descriptionPublicationkeyboard_double_arrow_right Article , Research 31 Aug 2017Embargo end date: 12 Sep 2017 Switzerland English Publisher:WileyJournal:The Manchester School, volume 86, pages 390-416 (issn: 1463-6786, eissn: 1467-9957, Copyright policy )
Authors: Adelina Gschwandtner; Stefan Hirsch;

doi: 10.1111/manc.12201 , 10.3929/ethz-b-000184287

handle: 10419/175509 , 20.500.11850/184287

What Drives Firm Profitability? A Comparison of the US and EU Food Processing Industry

Abstract

This paper analyzes persistence and the drivers of profitability in US and EU food processing using GMM estimations. Due to different firm size structures first comparable samples of US and EU food processors are derived using Propensity Score Matching. The GMM results indicate that profit persistence in food processing is lower than in other manufacturing sectors. Firm‐specific drivers of profitability are size and financial risk. Regarding industry characteristics concentration and the growth rate significantly influence profitability. The findings provide insights for the management of US and EU food processing firms aiming to enhance their competitiveness.

Country
Switzerland
Related Organizations
Keywords

L12, food industry, S1, propensity score matching, ddc:330, Firm profit, L66, M21, persistence, HD28, GMM panel estimation

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
Green
bronze