Ensuring sustainable wheat production in Iran: a comprehensive risk management approach

The variables of sustainable agricultural indicators have inherent risk and uncertainty; therefore, neglecting them leads to unrealistic results. Hence, this study aims to assess agricultural sustainability indices by accounting for risk factors, including yield, price fluctuations, and chemical fertilizer and herbicide use, in wheat production across Iranian provinces during 2000–2018. First, economic, environmental, and economic-environmental indices by considering risk for the wheat producers were calculated. The CRITIC method was applied to determine the weights of indicators, and finally, the stochastic dominance methods (SSD and SDRF) were used to rank provinces based on their economic, environmental, and economic-environmental sustainability indices. The results showed that provinces located in the center and south (e.g. Khuzestan, Isfahan, and Fars) are in a high-risk group, those in the west and semi-arid areas (e.g. Kermanshah, Semnan, and Hamedan) fall into a moderate-risk group, and provinces in the north (e.g. Mazandaran, Sistan and Baluchestan, and Kohgiluyeh and Boyer-Ahmad) exhibit low risk. These findings indicate regional disparities in sustainability conditions. Therefore, risk-based management policies, including region-specific support measures, irrigation improvements, and input optimization, are essential to promote the sustainable production of wheat across Iran.

Authors

Institutions

Publication Details

Journal
Journal of Crop Improvement
Published
2026-06-17
DOI
https://doi.org/10.1080/15427528.2026.2684960
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ensuring sustainable wheat production in Iran: a comprehensive risk management approach

Azar Sheikhzeinoddin, Fatemeh Fathi, Hossein Azadi, Maryam Ehsani
Journal of Crop Improvement
Sustainable Agricultural Systems Analysis
article

Ensuring sustainable wheat production in Iran: a comprehensive risk management approach

Azar Sheikhzeinoddin, Fatemeh Fathi, Hossein Azadi, Maryam Ehsani
article en

Abstract

The variables of sustainable agricultural indicators have inherent risk and uncertainty; therefore, neglecting them leads to unrealistic results. Hence, this study aims to assess agricultural sustainability indices by accounting for risk factors, including yield, price fluctuations, and chemical fertilizer and herbicide use, in wheat production across Iranian provinces during 2000–2018. First, economic, environmental, and economic-environmental indices by considering risk for the wheat producers were calculated. The CRITIC method was applied to determine the weights of indicators, and finally, the stochastic dominance methods (SSD and SDRF) were used to rank provinces based on their economic, environmental, and economic-environmental sustainability indices. The results showed that provinces located in the center and south (e.g. Khuzestan, Isfahan, and Fars) are in a high-risk group, those in the west and semi-arid areas (e.g. Kermanshah, Semnan, and Hamedan) fall into a moderate-risk group, and provinces in the north (e.g. Mazandaran, Sistan and Baluchestan, and Kohgiluyeh and Boyer-Ahmad) exhibit low risk. These findings indicate regional disparities in sustainability conditions. Therefore, risk-based management policies, including region-specific support measures, irrigation improvements, and input optimization, are essential to promote the sustainable production of wheat across Iran.

Journal of Crop Improvement
Shiraz University (IR), Chinese Academy of Sciences (CN), Ghent University Hospital (BE)
Zero hunger
Openalex Percentile: Top 11%
Sustainable Agricultural Systems Analysis
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.