江苏沙集镇农村电子商务模式及其影响研究

发布时间：2018-02-10 16:55

本文关键词： 农村电子商务效应分析 SWOT分析产业发展　出处：《南京农业大学》2015年硕士论文　论文类型：学位论文

【摘要】：电子商务作为一种新兴的商业模式在城市地区有了长足的发展,相对于城市电子商务,农村电子商务的发展受到一系列的限制,比如农村地区的交通、电信、网络等基础设施落后,物流配送体系在农村覆盖较少,农民对电子商务接触较少、观念落后等,这一些列因素都限制了农村电子商务的发展。本文首先分析了当下中国农村地区互联网、物流等电子商务基础设施的的发展情况,并介绍了电子商务的基本模式。以沙集镇为案例,从主导产业的角度研究沙集镇产业演变趋势,用SWOT分析法,分析沙集镇电子商务产业的外部机会、威胁和内部的优势劣势。,通过走访调查的方式,经过描述性统计分析,寻找沙集电子商务成功的核心要素,从产业集聚效应、收入效应、资源配置效应三个方面分析沙集模式的产业效应。本文在剖析沙集镇电子商务的基础上,提炼出沙集模式的内核,总结其成功的经验,并探讨其可复制性与可推广性。最后针对沙集电商模式的问题果给出相应的政策建议。
[Abstract]:As a new business model, E-commerce has made great progress in urban areas. Compared with urban e-commerce, the development of rural e-commerce is restricted by a series of restrictions, such as transportation and telecommunications in rural areas. The infrastructure such as the network is backward, the logistics distribution system is less covered in the countryside, the farmers have less contact with the electronic commerce, the concept is backward, etc. These factors all restrict the development of rural e-commerce. This paper first analyzes the development of e-commerce infrastructure in rural areas of China, such as Internet, logistics and so on. The paper also introduces the basic mode of electronic commerce. Taking Shaji Town as an example, the paper studies the industrial evolution trend of Shaji Town from the point of view of leading industry, and analyzes the external opportunities of electronic commerce industry in Shaji Town by using SWOT analysis method. Threats and internal strengths and weaknesses. Through the way of visiting and investigating, through descriptive statistical analysis, to find the core elements of the success of e-commerce in Shaji, from the industrial agglomeration effect, the income effect, On the basis of analyzing the electronic commerce of Shaji Town, this paper abstracts the core of the model and summarizes its successful experience. The replicability and extensibility of the model are discussed. Finally, the corresponding policy suggestions are given to solve the problem of the model.
【学位授予单位】：南京农业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F724.6

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