Market Power in the Poultry Sector in Turkey

Özertan, Gökhan; Saghaian, Sayed H.; Tekgüç, Hasan

doi:10.21773/boun.28.2.2

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…According to the viewpoint of information requirements, the last approach is ideal when information on item amounts are not promptly accessible. This technique has been utilized in numerous nations [20][21][22][23][24][25][26][27]. As of late, Kinnucan and Tadjon [28] promoted a system that can verify great competition, guaranteeing its benefits over those of Lloyd et al (2009) [17].…”

Section: Related Workmentioning

confidence: 99%

A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues

et al. 2022

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Over the most recent couple of years, the Internet of Things and other empowering innovations have been logically utilized for digitizing the vegetable supply chain (VSC). Background: The unpredictable examples and complexity inserted in enormous data dimensions present a test for an orderly human master examination. Hence in an information-driven setting, soft computing (SC) has accomplished critical energy to investigate, mine, and concentrate confidential information data, or tackle complex improvement issues, finding some harmony between good productivity and maintainability of vegetable supply frameworks. Methods: This paper presents a new and diverse scientific classification of VSC issues from the SC methodology. It characterizes VSC issues and sorts them in light of how they be demonstrated according to the SC perspective. Moreover, we examine the SC methodologies commonly utilized in each phase of the VSC and their related classes of issues. Accordingly, there is an issue in distinguishing and characterizing VSC issues according to a more extensive point of view, enveloping the different SC strategies that can apply in various phases (from creation to retailing), and recognizing the issues that emerge in these phases according to the SC viewpoint. Results: We likewise acquaint some rules with the assistance of VSC analysts and specialists to settle on appropriate strategies while resolving specific issues they could experience. Even though a few latest examinations have arranged the SC writing in this field, they are situated towards a solitary group of SC strategies (a gathering of techniques that share standard qualities) and survey their application in VSC phases. Conclusions: We have suggested a novel approach and complete scientific classification of vegetable supply chain concerns about soft computing. We present a view of three delegate supply chains: cruciferous vegetables, dark green leafy vegetables, and tomatoes. We assembled the scientific type in light of different parts to arrange vegetable supply chain issues as per how they can be demonstrated utilizing soft computing methodologies.

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Section: Related Workmentioning

confidence: 99%

A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues

et al. 2022

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“…From the perspective of data requirements, the latter approach is preferable when data on product quantities are not readily available. Therefore, this methodology has been employed in many countries [11,21,22,[63][64][65][66][67]. Recently, Kinnucan and Tadjon [68] developed a framework to test for perfect competition, claiming its advantages over those of Lloyd et al (2009).…”

Section: The "First Pass" Test To Detect Market Power Exertion Along ...mentioning

confidence: 99%

Should We Cry over the Spilt Milk? Market Power and Structural Change along Dairy Supply Chains in EU Countries

Cavicchioli¹,

Cacchiarelli²,

Pretolani³

2022

Sustainability

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A “first-pass” test on a set of monthly prices index series from 2000 to 2015 was applied to detect market power exertion in the dairy value chain of 25 EU countries. Due to econometric and theoretical restrictions, the test yielded conclusive findings only in 11 over 25 EU Countries. Such results show that in Austria, Portugal, Slovakia, Hungary and Croatia, the downstream sector exerts market power. Other EU countries (Spain, UK, Denmark, Czech Republic, Bulgaria and Sweden) are characterised by perfectly competitive dairy chains. These results were consistent with the findings of previous studies based on structural and mark-up models. Results of the market power test in the subsample of 11 countries have been related to various structural characteristics of the dairy chains. Market power exertion is negatively related to the average farm size. Such variable may be seen as a proxy of the degree of supply concentration provided by Producers Organizations (POs) to increase the bargaining power of the farm sector along the food chain. To test such a hypothesis, comparable data on supply concentration by POs across EU Countries are necessary. On the other hand, the structural change, represented by the increase of average farm size over time and the concentration rate in higher classes (above 250,000 € of Standard Output) is almost unrelated to the perfectly competitive conduct along EU dairy chains.

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“…From the perspective of data requirements, the latter approach is preferable when data on product quantities are not easily available. Perhaps for this reason, such a methodology has been employed in many countries [27,[51][52][53][54][55][56][57]. Recently, Kinnucan and Tadjon [58] developed a framework to test for perfect competition, claiming its advantages against that of Lloyd et al [11].…”

Section: New Empirical Industrial Organization (Neio) Structural Modelsmentioning

confidence: 99%

Detecting Market Power Along Food Supply Chains: Evidence and Methodological Insights from the Fluid Milk Sector in Italy

Cavicchioli

2018

Agriculture

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Concerns about the functioning of food supply chains have been raised by the European Commission over past years, calling for more effective and coordinated action by National Competition Authorities (NCAs). To fill this knowledge gap, an equilibrium displacement model is used to screen conduct along the supply chain, combining the advantages of asymmetric price transmission (APT) studies and structural models. The test was carried out on the Italian fluid milk supply chain following market monitoring action by the NCA. Three periods (1996–2003; 2000–2008 and 1996–2008) have been examined, finding imperfect competition over 1996–2008 and 2000–2008, while no conclusions may be drawn over the time span 1996–2003. In the testing process, the model’s peculiarities and certain limitations emerged, and related suggestions for its improvement are discussed. This approach may be used as a preliminary “fast” test for competition policy screening, as a complement to other methodologies. However, further theoretical and empirical model validation is necessary.

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Market Power in the Poultry Sector in Turkey

Cited by 4 publications

References 16 publications

A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues

A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues

Should We Cry over the Spilt Milk? Market Power and Structural Change along Dairy Supply Chains in EU Countries

Detecting Market Power Along Food Supply Chains: Evidence and Methodological Insights from the Fluid Milk Sector in Italy

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