Market Power in Food Supply Chain – Does Estimation Method Matters?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F20%3A43961432" target="_blank" >RIV/49777513:23510/20:43961432 - isvavai.cz</a>
Result on the web
<a href="https://edamba.euba.sk/www_write/files/archive/edamba2020_proceedings.pdf" target="_blank" >https://edamba.euba.sk/www_write/files/archive/edamba2020_proceedings.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Market Power in Food Supply Chain – Does Estimation Method Matters?
Original language description
This paper aims to investigate the systematic differences in market power estimates between most dominate estimation approaches and to assess the determinants related to market power estimates. Meta analysis was used to estimate the impact of the assessment approach on the magnitude of market power index in the food supply chain. Using three different linear regression models, we investigated the determinants of MP estimates. We have collected the most comprehensive list of studies investigating processors’ market power index in the food supply chains. In total, in our analysis, we use 472 unique market power index estimates. Our results show that there is indeed a systematic difference between the approach used and an MP estimate. Besides the estimation approach, there is also a significant impact of the number of observations used in a study, frequency of data collection and country of interest on the market power index estimates.
Czech name
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Czech description
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Project
<a href="/en/project/GA19-18080S" target="_blank" >GA19-18080S: Food supply chains: impact of concentration, unfair trade practices, regulations and changing consumer preferences</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
EDAMBA 2020 International Scientific Conference for Doctoral Students and Post-Doctoral Scholars From better economics to better economy
ISBN
978-80-225-4794-9
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
134-147
Publisher name
University of Economics in Bratislava
Place of publication
Bratislava
Event location
UNIVERSITY OF ECONOMICS IN BRATISLAVA
Event date
Oct 27, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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