摘要
本文基于2015~2019年中国省域数据,建立物流业高质量发展评价指标体系,运用关联系数标准差测算指标权重,运用证据推理测度我国物流业发展水平,运用空间计量方法揭示空间分布特征及速度与质量之间的关系。结果表明:我国物流业高质量发展水平呈现稳步提升的态势;我国物流业高质量发展呈现非均衡性和稳定性;我国物流业于2019年步入“高质量-高速度”发展阶段。旨在为推动我国物流业高质量发展,促进形成强大国内市场提供可量化的参考依据。
Based on China's provincial data from 2015 to 2019,this paper establishes an evaluation index system for the high-quality development of logistics industry,calculates the index weight by using the standard deviation of correlation coefficient,measures the development level of China's logistics industry by using evidential reasoning,and reveals the spatial distribution cha⁃racteristics and the relationship between speed and quality by using spatial measurement method.The results show that the high-quality development level of China's logistics industry presents a trend of steady improvement;the high-quality development of China's logistics industry is unbalanced and stable;China's logistics industry entered the development stage of“high quality-high speed”in 2019.It provides a quantifiable reference basis for promoting the high-quality development of China's logistics industry and promoting the formation of a strong domestic market.
作者
孟勐珺
王应明
叶菲菲
Meng Mengjun;Wang Yingming;Ye Feifei(Decision Sciences Institute,Fuzhou University,Fuzhou 350108,China;Key Laboratory of Spatial Data Mining&Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350108,China;School of Public Administration,Fujian Normal University,Fuzhou 350108,China)
出处
《工业技术经济》
北大核心
2022年第4期103-110,共8页
Journal of Industrial Technological Economics
基金
国家自然科学基金“大数据环境下置信规则库推理模型的优化与应用研究”(项目编号:61773123)
国家自然科学基金“置信规则库推理模型的集成式动态建模方法及应用研究”(项目编号:72001043)。
关键词
物流业
高质量发展水平
关联系数标准差
证据推理
空间特征
产业联动
logistics industry
high quality development
correlation coefficient standard deviation
evidential reasoning
spatial characteristics
industrial linkage
