新疆农业产业链韧性的区域差异及影响因素研究OA

Based on panel data from 14 prefectures and cities in Xinjiang from 2013 to 2022,an evaluation index system for agricultural industry chain resilience was constructed within the regional economic resilience framework.The entropy weight method,Dagum Gini coefficient and Markov chain were used to study the regional differences and evolutionary characteristics of the agricultural industry chain's resilience.Optimal parameters based geographical detectors was employed to explore the main influencing factors.The results show that:(1)During the study period,the resilience of Xinjiang's agricultural industry chain increased steadily,with an overall growth of approximately 1.5 times.Resilience in eastern Xinjiang showed a slight upward trend within the low-value range,while resilienee in southern and northern Xinjiang exhibited fluctuating upward trajectories;(2)Regional disparities in the resilience level of Xinjiang's agricultural industry chain persistently widened,ultimately forming a gradient distribution pattern of Southern Xinjiang＞Northern Xinjiang＞Eastern Xinjiang;(3)The agricultural industry chain resilience demonstrated robust stability and evolutionary potential,attributable to two core dimension:Resistance effectively mitigating risks of regression in the agricultural industry chain and reinforcement driving industrial upgrading and restructuring.Key influencing factors were identified as full-time equivalent of agricultural R&D Personnel,fixed asset investment,total agricultural output,grain production capacity and digital financial index.