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陕西农村电子商务准备度水平测度 被引量:4

Study on measure of rural e-commerce readiness in Shaanxi
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摘要 为测度农村电子商务准备度水平,构建发展环境、基础设施、用户主体3类共15项测度指标体系,运用熵权法对陕西省2010-2014年的农村电子商务准备度水平进行测度,并通过SPSS 22.0软件对陕西省内各市得分情况进行聚类分析。研究结果表明:陕西省农村电子商务准备度综合水平不断提高,增长速度不断加快,但仍与农村电子商务发达地区有较大差距;2014年陕西省农村电子商务准备度综合得分为0.023 2,比全国均值低0.009 2,在全国31省(市、区)中位列第20名,在西部12省(市、区)中排第4名,在西北5省(区)中排第1位;陕西省内农村电子商务准备度水平并不均衡,西安市是农村电子商务准备度优势区域,宝鸡、榆林、延安、咸阳、铜川、渭南6个城市是农村电子商务准备度水平良好区域,汉中市、安康市和商洛市是农村电子商务准备度水平落后区域。 The index system of rural e-commerce readiness measurement is established to measure the level of e-commerce readiness in Shaanxi rural areas.The system consists of 15 items concerning 3 classes of indices:development environment,infrastructure construction,and user agent.The entropy weight method is used to measure the level of e-commerce readiness from2010 to 2014 in rural areas in Shaanxi Province.The data is processed with clustering analysis by software SPSS 22.0 and the results show that the comprehensive level of e-commerce readiness in Shaanxi rural areas has been increasing and the growth rate has been accelerating continuously in the past five years.But it is still far behind from those areas with developed e-commerce.The overall value is 0.023 2 in the year of 2014,being 0.009 2 lower than the national average.This ranks 20 th in nationwide of 31 provinces,autonomous regions and municipalities directly under the central government,being 4 th in the west part of the country and 1 st in the northwest.In addition,there is disequilibrium in the level of readiness in Shaanxi province,and Xi'an has many advantages in the level of readiness.Cities such as Hanzhong,Ankang,Shangluo are much left behind while cities including Baoji,Yulin,Yan'an,Xianyang,Tongchuan,and Weinan develop fairly well in e-commerce.
出处 《西安邮电大学学报》 2017年第5期105-113,共9页 Journal of Xi’an University of Posts and Telecommunications
基金 陕西省社会科学基金重大资助项目(2016ZDA10) 陕西省社会科学基金重点资助项目(2016D002) 陕西省社科界重大理论与现实问题研究项目(2017C019) 陕西省教育厅哲学社会科学重点研究基地项目(16JZ064)
关键词 陕西省 农村电子商务 准备度 熵权法 Shaanxi province,e-commerce of rural,readiness,entropy weight method
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