Analysis of Drivers Influencing the Resilience of Saffron Farmers in Qaenat County

Document Type : Original Article

Authors

1 Associate Professor of Agricultural Economics, University of Sistan and Baluchestan, Zahedan, Iran

2 Assistant Professor Department of Agricultural Economics, Agriculture Institute, Research Institute of zabol, Zabol, Iran

3 Department of Geography, Faculty of Literature and Humanities, University of Birjand, Birjand, Iran

Abstract

Introduction
Saffron, as one of the most important agricultural products with high economic value in Qaenat County, plays a key role in the livelihood and economic stability of rural households. However, the saffron production system in this region faces a range of instabilities and stresses that seriously threaten the resilience of saffron farmers. Among the most significant concerns for saffron farmers are severe price fluctuations, the absence of effective guaranteed pricing policies, rising production costs—especially labor expenses—structural weaknesses in local cooperative systems, insufficient government support, and challenges arising from climate change and recurrent droughts. Under such conditions, it appears essential to examine saffron farmers' resilience across various economic, social, institutional, and infrastructural dimensions. Without a precise understanding of the drivers influencing resilience, it won't be possible to design sustainable strategies and effective policy interventions. Therefore, the present study aims to identify and prioritize the factors affecting the resilience of saffron farmers in Qaenat County. Through this research, we hope to contribute to evidence-based policymaking and the sustainable development of this production system.
 
Methodology
This research is applied in terms of its objective and descriptive-analytical with a quantitative approach in terms of methodology. We identified the drivers influencing saffron farmers' resilience through an extensive review of past research and expert opinions. The output of the first step of this research was presented as a comprehensive decision tree of drivers influencing the resilience of saffron farmers in Qaenat County. The goal of this decision tree was to identify and rank the factors affecting the resilience of saffron farmers in Qaenat County. The first level of the decision tree includes four criteria: economic, technical, physical, and social, serving as the overall drivers impacting saffron farmers' resilience. At the second level, we compared seven economic sub-criteria, seven technical sub-criteria, eight physical sub-criteria, and six social sub-criteria as specific drivers, using pairwise comparisons. The research tool was a pairwise comparison questionnaire, completed through in-person interviews with 10 experts in agricultural resilience from Torbat Heydarieh University (in Iran), the Saffron Research Institute, and the Qaenat County Agricultural Jihad Organization. The pairwise comparison was designed across 4 criteria and 28 sub-criteria, totaling 85 pairwise comparisons. After collecting the pairwise comparison data from the sample members, we used the Grey Analytic Hierarchy Process (GAHP) to analyze the data and determine the relative weights of the criteria and sub-criteria within the decision tree.
 
Findings
The results of this study show that the economic factor holds the highest priority, with a relative weight of 0.6053, ranking first. Following this, the technical factor came in second with a weight of 0.1941, the physical factor third with 0.1555, and finally, the social factor ranked fourth with a weight of 0.0451. These findings indicate that, from the perspective of saffron farmers, economic considerations are the most critical component in enhancing their resilience.
In this research, sub-criteria such as access to banking facilities, the presence of a guaranteed market, diversification of income sources, and agricultural product insurance were among the main economic components emphasized by the respondents.
The technical factor, ranking second, was defined by indicators like the use of modern technologies, the level of mechanization, and resource management capability. The findings from weighting this criterion revealed that utilizing technical tools and knowledge can directly impact productivity and reduce the vulnerability of saffron farmers.
The physical factor, identified as the third priority, included components such as water resource quality, transportation infrastructure, climatic conditions, and soil quality. The lower importance of this factor compared to the first two might be due to the relatively more stable nature of these factors or farmers' limited control over them.
Finally, the social factor received the lowest relative weight (0.0415), placing it at the bottom of the list. Although indicators such as participation in cooperatives, family collaboration, trust in local institutions, and the role of women and youth in production were measured under this criterion, it appears that, under current conditions, saffron farmers in the Qaenat region do not consider these factors as effective in their resilience as economic and technical variables. This finding could indicate a gap in social capital and highlights the necessity of policymaking to strengthen social ties within the saffron farming sector.
 
Discussion of Findings
The investigations conducted in this study reveal that, from the perspective of saffron farmers in Qaenat County, economic issues play the most significant role in determining their level of resilience. This is entirely understandable, especially given that farmers currently face severe market fluctuations, increasing production costs, and insufficient support. Indeed, concerns such as the absence of guaranteed pricing, volatile purchase rates, and difficulties in accessing reliable markets have led farmers to experience the highest vulnerability in this domain. In conclusion, policymaking in the saffron farming sector must adopt a comprehensive and multi-dimensional approach. When prioritizing interventions, the greatest focus should be on improving economic conditions, facilitating access to stable markets, reducing production costs, and enhancing farmers' technical knowledge. Additionally, strengthening social capital and supporting local institutions can contribute to increasing the resilience of the production system and the sustainability of farmers' livelihoods in the long run.

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Main Subjects


Aguilar, F., Hendrawan, D., Cai, Z., Roshetko, J., & Stallmann, J. (2022). Smallholder farmer resilience to water scarcity. Environment, Development and Sustainability, 24, 2543–2576. https://doi.org/10.1007/s10668-021-01545-3
Akbariyan, S. R., & Ramezanzadeh Lasbooei, M. (2019). An analysis of farmers’ resilience to drought with an emphasis on economic factors and social capital in rural areas (Case study: Roniz Rural District, Estahban County). Rural Studies, 38, 233–243. https://doi.org/10.22059/jrur.2018.230885.1090 [In Persian]
Avazpour, L. (2016). The role of social capital in enhancing rangeland users’ resilience facing rangeland degradation (Case study: Kalpush region, Meyami County, Semnan Province) (Master’s thesis, Tarbiat Modares University, Faculty of Natural Resources). https://elmnet.ir/doc/10956930-44131 [In Persian]
Beyene, F., Senapathy, M., Bojago, E., & Tadiwos, T. (2023). Rural household resilience to food insecurity and its determinants: Damot Pulasa district, southern Ethiopia. Journal of Agriculture and Food Research, 11, 100500. https://doi.org/10.36074/hrtfiise-monograph.2022
Darijani, F., Veisi, H., Liaghati, H., Nazari, M. R., & Khoshbakht, K. (2019). Assessment of resilience of pistachio agro-ecosystems in Rafsanjan plain in Iran. Sustainability, 11(16), 4459. https://doi.org/10.3390/su11164459
Diserens, F. C., Huber, J. M., Barjolle, D., Galliot, B., Déléglise, C., & Six, J. (2018). Resilience assessment of Swiss farming systems: Piloting the SHARP tool in Vaud. Sustainability, 10(12), 4435. https://doi.org/10.3390/su10124435
Ehsani, M., & Shokoohi, Z. (2022). Estimation of agricultural resilience index of Iran to climate change. Strategic Research in Agricultural and Natural Resources Sciences, 7(1), 63–78. https://sid.ir/paper/1055047/fa [In Persian]
Fatahi, S., Vahedi, M., Arayesh, M. B., & Eshraghi Samani, R. (2023). An assessment of farmer’s social resilience level in the face of water-based crises: The case of Haris County. Iranian Journal of Agricultural Economics and Development Research, 54(1), 107–129. https://doi.org/10.22059/ijaedr.2022.338067.669128 [In Persian]
Hajarian, A. (2024). Analysis of the factors affecting physical resilience of rural settlements after floods (Case study: Borujerd County). Village and Sustainable Spatial Development, 5(1), 151–172. https://doi.org/10.22077/vssd.2024.6403.1189 [In Persian]
Jamshidi, A., & Anabestani, A. (2020). Structural-interpretive modeling of the factors influencing rural residents’ resilience around Lake Urmia in the face of climate change (with emphasis on drought). Geographical Studies of Arid Regions, 11(42), 1–22. https://jargs.hsu.ac.ir/article_161528.html [In Persian]
Javadinejad, S., Dara, R., & Jafary, F. (2021). Analysis and prioritization of the effective factors on increasing farmers’ resilience under climate change and drought. Agricultural Research, 10, 497–513. https://doi.org/10.1007/s40003-020-00520-0
Jayadas, A., & Ambujam, N. (2021). Research and design of a farmer resilience index in coastal farming communities of Tamil Nadu, India. Journal of Water and Climate Change, 12(7), 3144–3158. https://doi.org/10.2166/wcc.2021.076
Kamali, Z., & Ghasemi, M. (2023). Assessment of physical resilience of rural household dwellings against floods (Case study: Dargaz County). Village and Sustainable Spatial Development, 4(3), 111–135. https://doi.org/10.22077/vssd.2023.5126.1086 [In Persian]
Karim-Motamed, M., Kavousi Kalashmi, M., Khaligh Khiavi, P., Ghorbani Piralidehi, F., Askari Bazayaeh, F., & Houdaneh Dafchahi, F. (2023). Identification and prioritization of key drivers affecting resilience of rice farmers in Gilan Province. Cereal Research, 13(4–49), 315–329. https://doi.org/10.22124/cr.2024.26768.1810 [In Persian]
Khaki Firouz, Z., Niknami, M., Keshavarz, M., & Sabouri, M. (2022). Drivers of farmer’s resilience to drought: A case of Sistan plain. Iranian Agricultural Extension and Education Journal, 18(1), 161–179. https://dor.isc.ac/dor/20.1001.1.20081758.1401.18.1.10.3[In Persian]
Khoramdel, S., Moallem Bonhangi, F., & Shabahang, J. (2022). Effect of agronomic management on saffron (Crocus sativus L.) flower and corm yield under on-farm conditions. Saffron Research, 10(1), 169–182. https://doi.org/10.22077/jsr.2022.4866.1174 [In Persian]
Moradkhani, N., Cheraghi, M., & Moeini, M. (2025). Econometric analysis of tourism impacts on physical resilience of tourism-targeted villages (Case study: Mahneshan County). Village and Sustainable Spatial Development, 6(1), 97–116. https://doi.org/10.22077/vssd.2024.7438.1240 [In Persian]
Naseri, M. (2023). Analysis of factors affecting saffron performance. Horticultural Science, 37(4), 1101–1114. https://doi.org/10.22067/jhs.2023.79362.1245 [In Persian]
Nasrnia, F., & Ashktorab, N. (2021). Sustainable livelihood framework-based assessment of drought resilience patterns of rural households of Bakhtegan basin, Iran. Ecological Indicators, 128, 107817. https://doi.org/10.1016/j.ecolind.2021.107817
Sardarshahrki, A. (2022). Constraints in saffron production in rural areas of Qaenat County. Spatial Economy and Rural Development, 11(2), 21–50. https://dor.isc.ac/dor/20.1001.1.23222131.1401.11.40.2.7 [In Persian]
Sardarshahrki, A., & AliAhmadi, N. (2024). Analysis of saffron supply chain barriers in rural livelihoods of Qaenat County: Application of Grey Relational Analysis (GRA). Village and Sustainable Spatial Development, 5(3), 172–193. https://doi.org/10.22077/vssd.2024.7574.1249 [In Persian]
Savari, M., Eskandari Damaneh, H., & Eskandari Damaneh, H. (2023). Effective factors to increase rural households’ resilience under drought conditions in Iran. International Journal of Disaster Risk Reduction, 90, 103644. https://doi.org/10.1016/j.ijdrr.2023.103644
Seyed Akhlaghi, S. J., & Taleshi, M. (2021). Assessment of rural resilience in the Hablehroud watershed under drought conditions. Watershed Engineering and Management, 13(1), 137–151. https://doi.org/10.22092/ijwmse.2020.126226.1647 [In Persian]
Spiegel, A., Slijper, T., De Mey, Y., Meuwissen, M., Poortvliet, M., Rommel, J., Hansson, H., Vigani, M., Soriano, B., Wauters, E., Appel, F., Antonioli, F., Gavrilescu, C., Gradziuk, P., Finger, R., & Feindt, P. (2021). Resilience capacities as perceived by European farmers. Agricultural Systems, 193, 103224. https://doi.org/10.1016/j.agsy.2021.103224
Wassie, S., Mengistu, D., & Birlie, A. (2023). Agricultural livelihood resilience in the face of recurring droughts: Empirical evidence from northeast Ethiopia. Heliyon, 9, e16422. https://doi.org/10.1016/j.heliyon.2023.e16422
Yeganeh, A., Shafiei, A., & Bokaie, A. (2022). Analysis of economic and social resilience of gardeners against drought and its effective factors (Case study: Central part of Malekan County). Journal of Geographical Studies of Mountainous Areas, 3(1), 161–178. https://dor.isc.ac/dor/20.1001.1.27172325.1401.3.1.9.2[In Persian]
Zamani, Y., Hashemi Monfared, A., Ajdari Moghaddam, M., & Hamidianpour, M. (2022). Saffron and climate change: Estimating changes in its water requirement using intelligent algorithms. Saffron Research, 10(1), 113-128. https://doi.org/10.22077/jsr.2021.4531.1165[In Persian]
Zareinejad, M., Kaviani, M., Esfahani, M., & Takamoli Masoule, F. (2014). Performance evaluation of services quality in higher education institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation. Decision Science Letters, 3, 143–156. https://doi.org/10.5267/j.dsl.2013.12.002