基于GA-BP模型的城市电子商务竞争力评价

The Appraisal Research of Urban E-Commerce Competitiveness Based on GA-BP Algorithm——Case Study on E-Commerce Demonstration City of Yangtze River Delta

摘要:

提升电子商务竞争力是新时代网络强国建设中提高城市综合发展实力的重要手段。借鉴前人研究的基础,建立21个指标的城市电子商务竞争力评价指标体系,选取长三角国家电子商务示范城市,运用遗传算法优化神经网络对上述城市电子商务竞争力进行评价和分析。结果表明：①本地化园区水平、电商衍生服务水平、网商密度水平、快递服务水平和电子商务相关政策是影响城市电子商务竞争力的关键指标。②长三角10个国家电子商务示范城市电子商务竞争力虽然在中国居于较高水平,但发展不平衡。③构建城市电子商务竞争力评价GA-BP模型具有较好的科学性和可操作性,根据评价值判断城市电子商务竞争态势,比照指标体系寻找差距加以完善,将是城市电子商务竞争力研究的发展方向。

Abstract:

To enhance the competitiveness of e-commerce is an important means to improve the urban comprehensive strength development in the new era. Based on the predecessor research, we established 21 indicators of urban e-commerce competitiveness evaluation index system, and use the GA-BP algorithm to analyze ten national e-commerce demonstration cities of Yangtze river delta. The results showed that: Local e-commerce park, derivative service, the density of electronic retailing, express delivery service and related policy are the key indicators of urban e-commerce competitiveness. These 10 cities’ e-commerce competitiveness in the Yangtze river delta are at a higher level in China but unbalanced in development, and is divided into three categories according to the evaluation level and competition situation. Judging the competitiveness of urban e-commerce by GA - BP model, comparing it with the index system to find the gaps will be a research direction of urban e-commerce competitiveness.