Leveraging contract farming to reduce leafy vegetable waste: a system dynamics approach from Kermanshah province of Iran

Decreasing food loss and waste (FLW) has become a global concern towards achieving sustainable food systems. One widely embraced approach is contract farming (CF), which enables the supply chain (SC) actors to manage the aggregate SC risks. Leafy vegetables are particularly vulnerable to wastage due to inadequate quality and SC performance, with Iran experiencing an alarming annual leafy vegetables waste (LVW) rate of 39% due to SC inefficiencies. Numerous scholars have proposed diverse FLW prevention strategies, yet their implementation often falters due to the absence of economic incentives for stakeholders. Hence, the focus should shift towards market-based strategies. This study examines the effect of CF as an economic incentive for farmers to reduce LVW in Kermanshah province. To achieve this goal, a system dynamics model of the waste system in the leafy vegetable SC (LVSC) was developed Data for the research was collected using a questionnaire, which surveyed 60 specialists and 728 actors across the SC. The results revealed that more than 50% of the LVW could be reduced by implementing CF. Consequently, government policies and initiatives should prioritize the development of processing industries via CF as a strategic avenue for action.

Authors

Institutions

Publication Details

Journal
Cogent Food & Agriculture
Published
2024-12-21
DOI
https://doi.org/10.1080/23311932.2024.2443270
Citations
2
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging contract farming to reduce leafy vegetable waste: a system dynamics approach from Kermanshah province of Iran

Felicitas Schneider, Hossein Shabanali Fami, Reza Salehi, Ali Akbar Barati et al.
2 citations
Cogent Food & Agriculture
Food Waste Reduction and Sustainability
0.70
article

Leveraging contract farming to reduce leafy vegetable waste: a system dynamics approach from Kermanshah province of Iran

Felicitas Schneider, Hossein Shabanali Fami, Reza Salehi, Ali Akbar Barati, L.H. Aramyan, Mostafa Moradi
article en
2 citations

Abstract

Decreasing food loss and waste (FLW) has become a global concern towards achieving sustainable food systems. One widely embraced approach is contract farming (CF), which enables the supply chain (SC) actors to manage the aggregate SC risks. Leafy vegetables are particularly vulnerable to wastage due to inadequate quality and SC performance, with Iran experiencing an alarming annual leafy vegetables waste (LVW) rate of 39% due to SC inefficiencies. Numerous scholars have proposed diverse FLW prevention strategies, yet their implementation often falters due to the absence of economic incentives for stakeholders. Hence, the focus should shift towards market-based strategies. This study examines the effect of CF as an economic incentive for farmers to reduce LVW in Kermanshah province. To achieve this goal, a system dynamics model of the waste system in the leafy vegetable SC (LVSC) was developed Data for the research was collected using a questionnaire, which surveyed 60 specialists and 728 actors across the SC. The results revealed that more than 50% of the LVW could be reduced by implementing CF. Consequently, government policies and initiatives should prioritize the development of processing industries via CF as a strategic avenue for action.

Cogent Food & AgricultureVol. 11(1)
University of Tehran (IR), Johann Heinrich von Thünen-Institut (DE), Horticultural Research Institute (US), Wageningen University & Research (NL)
University of Tehran, Wageningen University and Research
Zero hunger
Openalex Percentile: Top 26%
Food Waste Reduction and Sustainability
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.