Exploring Factors Affecting the Pastoralists Resilience against Climate Change
نویسندگان
1 Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Islamic Republic of Iran.
2 Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Islamic Republic of Iran.
3 Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Islamic Republic of Iran.
4 Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Islamic Republic of Iran.
doi
10.48311/jast.2026.16847چکیده
Climate Change (CC) is one of the major challenges of our time that impacts rangelands regionally and globally. The rising vulnerability among pastoralists highlights the need to prioritize resilience thinking. Pastoralists' resilience refers to the ability of rangeland businesses to endure, adapt to, and remain flexible in the face of threats or challenges. This research was conducted with the primary goal of analyzing the factors that influence resilience from the perspective of pastoralists in Tehran Province under CC conditions. The research was both goal-oriented and exploratory in methodology. The study sample consisted of 317 pastoralists selected through stratified random sampling. The data collection tool was a researcher-made questionnaire. Software SmartPLS was used for data analysis. The validity of the questionnaire was assessed using the average variance extracted, while its reliability was established by calculating composite reliability and Cronbach's Alpha. Data were analyzed using the structural equation modeling technique with Smart PLS software. The structural equation modeling indicated that economic, institutional, ecological, physical, social, educational, extensional, and individual factors had the greatest impact on Pastoralists' Resilience under Climate Change (PRCC) conditions and explained 75.5% of the conditions.