Concentration, market imperfections, and interbranch organization in the Italian processed tomato supply chain

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2024-05-27 DOI:10.1111/agec.12835
Lukáš Čechura, Antonella Samoggia, Tinoush Jamali Jaghdani
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Abstract

The increase in market concentration and market power in the food supply chain is an issue of concern globally. This study focuses on an analysis of market imperfections in the Italian processed tomato food supply chain by considering changes in its supply chain governance from 2006–2018. The identification of the degree of non-competitive behavior is based on the derived mark-down and mark-up models using the latest developments in stochastic frontier methodology. The estimated models reveal some degree of non-competitive behavior in the input as well as in the output processing market. However, in consideration of the results on the supply chain governance during the study period, we argue that the establishment of an Interbranch Organization (IBO) could create fairly stable long-term food supply chain relationships benefitting all IBO members and in particular farmers despite the significant change in concentration levels in the Italian tomato processing sector after 2015.

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意大利加工番茄供应链中的集中、市场缺陷和分支机构间组织
食品供应链中市场集中度和市场力量的增加是全球关注的问题。本研究通过考虑意大利加工番茄食品供应链在 2006-2018 年间的管理变化,重点分析了该供应链中的市场缺陷。非竞争行为程度的识别是基于利用随机前沿方法的最新发展推导出的降价和加价模型。估计模型揭示了投入和产出加工市场中一定程度的非竞争行为。然而,考虑到研究期间供应链治理的结果,我们认为,尽管 2015 年后意大利番茄加工行业的集中程度发生了显著变化,但分支机构间组织(IBO)的建立可以建立相当稳定的长期食品供应链关系,使所有 IBO 成员,特别是农民受益。
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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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