摘要
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。
Based on the predecessor research, we established 21 indicators of urban e - commerce competitiveness evalua- tion 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 de- livery service and related policy are the key indicators of urban e -commerce competitiveness. These 10 cities＇ e -com- merce competitiveness in the Yangtze river delta are at a higher level in China but unbalanced in development, and is divid- ed 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.
作者
尹诗
杨坚争
Yin Shi;Yang Jianzheng(School of Economics and Management,Shanghai Polytechnic University,Shanghai 201209;Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《科技管理研究》
CSSCI
北大核心
2018年第20期208-214,共7页
Science and Technology Management Research
基金
国家自然科学基金项目"世界市场的虚拟化与我国国际电子商务发展策略研究"(70973079)
沪江基金研究基地专项"电子商务智库"(D14008)
上海第二工业大学管理科学与工程学科经费(XXKPY1606)
