基于FA-BP神经网络的城市电子商务物流竞争能力研究  

Research on Competitiveness of Urban E-commerce Logistics Based on FA-BP Neural Network

作　　者：赵文德 胡子瑜[1] 黄丽娟 盛鑫[1] Zhao Wende;Hu Ziyu;Huang Lijuan;Sheng Xin(School ofManagement,Guangzhou Panyu Polytechnic,Guangzhou 511483;School of Business Administration,Guangzhou University,Guangzhou 510006,China)

机构地区：[1]广州番禺职业技术学院管理学院,广东广州511483 [2]广州大学工商管理学院,广东广州510006

出　　处：《物流技术》2018年第9期79-84,141,共7页Logistics Technology

基　　金：国家社会科学基金项目"我国城乡E一体化农村电子商务创新发展模式;路径及策略研究"(15BGL201);广东省高等职业教育教学改革项目"基于微项目学习的企业物流管理实务课程改革与实践"(201401174);广州市社会科学界联合会项目"供给侧结构性改革背景下面向消费者需求的供应链构建研究"(17QNXR12)

摘　　要：首先分析了国内外城市电子商务物流竞争能力研究现状,并从经济基础、物流基础、信息基础、商业基础、消费基础、人力基础和创新基础等七个层面构建了基于FA-BP神经网络的城市电子商务物流竞争能力评价模型;然后对30个样本城市的电子商务物流竞争能力进行实证分析。研究结果表明,城市电子商务物流竞争力的提升应当从电商物流行业、人才、政府等多方面实现。该结论有助于为全面提升城市电子商务物流竞争能力以及各级政府制定科学的城市电子商务物流发展政策提供建议和支持。This paper first analyzes the current research situation of the urban e-commerce logistics competitiveness both at home and abroad, and constructs a relevant evaluation model based on FA-BP neural network from seven levels which are economic basis, logistics basis, information basis, commercial basis, consumption basis, manpower basis and innovation basis. Then an empirical analysis is made of the competitiveness of the e-commerce logistics businesses in 30 sample cities, the finding of which shows that the improvement of the urban e-commerce logistics competitiveness should be realized with efforts from the e-commerce logistics industry, talents, government and other aspects.

关 键 词：电子商务物流 BP神经网络 因子分析 竞争能力 

分 类 号：F224.0[经济管理—国民经济] F713.365.1