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Case Study Analysis on Agri-Food Value Chain: A Guideline-Based Approach

Authors: Yarkın Akyüz; Havva Ece Salali; Pelin Atakan; Cihat Günden; Murat Yercan; Lampros Lamprinakis; Signe Kårstad; +9 Authors

Case Study Analysis on Agri-Food Value Chain: A Guideline-Based Approach

Abstract

This study aims to identify the methods and associated indicators that are commonly used in value chain analyses (VCA) and to determine the areas of interest that have been excluded. Value chain analysis generally includes four different dimensions, which are institutional/functional, economic/financial, social, and environmental. This study has two main sources of literature. The first is the guidelines and the other is case studies on value chain analysis. The case study review is limited by the time between 2000 and 2022. The results showed that the researchers mainly focused on the institutional/functional analysis of the value chain, which is the first step of the analysis. Studies were mostly concentrated on the mapping of value chains, which includes the mapping of agents, core activities, and the marketing channels and flows of products. The second important area of interest is economic/financial analysis. Value added analysis is a top research area on the economical side of the value chain (VC). Consumer behavior and financial analysis are also included in the case studies. The research on consumer behavior of the value chain analysis has focused on the preferences, attitudes, and behaviors of the consumers. Financial analysis is another area of interest which generally concentrates on the cost of intermediate inputs, total output value, net present value, internal rate of return, cash flows and cost of fixed assets, and break-even point. The social and environmental sides of the value chain have been studied with less attention. This is much more important for a sustainable food VC.

Countries
Serbia, Turkey, Serbia
Keywords

TJ807-830, perception, TD194-195, agent-based analysis, Renewable energy sources, agroindustry, modelling tools, GE1-350, value chain analysis; modelling tools; indicators; guideline-based review; agent-based analysis; BioValue H2020, supply chain management, value chain analysis; modelling tools; indicators; guideline-based review; agent-based analysis, guideline-based review, Environmental effects of industries and plants, public attitude, value chain analysis, indicators, Environmental sciences, marketing, guideline

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download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
3
Top 10%
Average
Average
93
115
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gold