首页|数字物流、农牧业发展和区域经济增长耦合协调度分析——以边疆三省为例

数字物流、农牧业发展和区域经济增长耦合协调度分析——以边疆三省为例

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文章基于数字物流(L)、农牧业发展(A)和区域经济增长(E)指标体系,运用AHP-CRITIC综合权重的TOPSIS法对2013-2022年边疆三省LAE水平进行测度,继而运用耦合协调度模型和核密度估计探究LAE耦合协调的动态演进过程,并结合障碍因子分析和回归模型探究耦合协调进程中的影响因素.结果表明:边疆三省LAE水平存在差距,由高到低依次为内蒙古、新疆、西藏;各省LAE存在较强的耦合关系,其中内蒙古和新疆LAE耦合协调度呈上升态势,西藏LAE耦合协调度在时间区间内不断波动;LAE耦合协调发展受到交通可达性、科技创新和农牧业发展规模的正向影响,环境规制对LAE耦合协调具有抑制作用.文章以边疆三省LAE水平为依据,对LAE耦合协调度及其影响因素进行解析,为促进边疆三省LAE相关政策有效实施提供参考依据.
An Analysis of the Coupling Coordination Degree of Digital Logistics,Agricultural and Pastoral Development,and Regional Economic Growth:-A Case Study of the Three Border Provinces of China
Based on the indicator system of digital logistics(L),agricultural and pastoral development(A),and re-gional economic growth(E),this study employs the TOPSIS method with comprehensive weights from AHP-CRITIC to measure the LAE(L,A,E)levels in the three border provinces(Inner Mongolia Autonomous Region,Xinjiang Uygur Autonomous Region,Tibet Autonomous Region)from 2013 to 2022.Subsequently,the coupling coordination degree model and kernel density estimation are used to explore the dynamic evolution process of the LAE coupling coordination.The study also analyzes the influencing factors in the coupling coordination process through obstacle factor analysis and regression models.The results indicate that there are disparities in the LAE levels across the three provinces,ranked from high to low as follows:Inner Mongolia,Xinjiang,and Tibet.Strong coupling relationships exist among the LAE in each province,with Inner Mongolia and Xinjiang showing an up-ward trend in their LAE coupling coordination degree,while the LAE coupling coordination of Xizang fluctuates over time.The coupling coordination of LAE is positively influenced by transportation accessibility,technologi-cal innovation,and the scale of agricultural and pastoral development,while environmental regulations have a suppressive effect on LAE coupling coordination.Based on the LAE levels of the three border provinces,this pa-per analyzes the coupling coordination degree and its influencing factors,providing a reference for the effective implementation of related policies in these regions.

digital logisticsagricultural and pastoral developmentregional economic growthcoupling coordina-tion degreethree border provinces

程刚、郑雄飞、珠扎

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西藏大学工学院 西藏 拉萨 850000

数字物流 农牧业发展 区域经济增长 耦合协调度 边疆三省

2024

西藏大学学报(社会科学版)
西藏大学

西藏大学学报(社会科学版)

CSSCICHSSCD北大核心
影响因子:0.44
ISSN:1005-5738
年,卷(期):2024.39(4)