作者王慧
姓名汉语拼音wanghui
学号2021000010011
培养单位兰州财经大学
电话18143771289
电子邮件1525367610@qq.com
入学年份2021-9
学位类别学术硕士
培养级别硕士研究生
学科门类管理学
一级学科名称管理科学与工程
学科方向
学科代码1201
第一导师姓名杨春林
第一导师姓名汉语拼音yangchunlin
第一导师单位兰州财经大学
第一导师职称教授
题名生态系统视角下的甘肃省淘宝村发展策略研究
英文题名Study on the development strategy of Taobao Village in Gansu Province from the perspective of ecosystem
关键词农村电商 淘宝村 生态系统 因子分析 回归分析 发展策略
外文关键词Rural e-commerce ; Taobao village ; Ecosystem ; Factor analysis ; Regression analysis ; Development strategy
摘要

互联网技术和电子商务逐步普及为乡村经济发展注入新动力,以淘宝村为代表的农村电商在全国各地纷纷出现,推动乡村振兴,助力乡村发展。淘宝村是电子商务发展新模式,它的出现能够上缩小城乡差距,使得城乡发展更加协调。然而我国淘宝村发展区域化差异较大,大体表现为南多北少,经济较发达地区淘宝村数量多、发展较为完善,经济欠发达区域淘宝村数量较少、发展速度缓慢。就甘肃省淘宝村发展而言,相较于我国其他省份,甘肃省经济发展较为落后,淘宝村发展也处于起步阶段,还存在许多制约因素。为推动甘肃省淘宝村稳步发展,促进乡村发展,以甘肃省淘宝村为研究对象,基于生态系统视角分析甘肃省淘宝村发展影响因素,并提出改善甘肃省淘宝村发展的对策与建议。研究过程和结论如下所述:

1)通过文献分析法梳理淘宝村研究领域主题主要聚焦于淘宝村助力乡村振兴、淘宝村形成动力机制、发展历程、空间分布以及分布特点和淘宝村产业集群研究四个方面,随后结合甘肃省淘宝村发展现实情况确定研究问题,即生态系统视角下的甘肃省淘宝村发展影响因素。最后,依据商业生态系统理论和已有研究构建甘肃省淘宝村发展生态系统模型,确定评价指标。

2)基于研究模型,设计调研问卷,收集研究数据。数据收集分两阶段进行:第一阶段收集数据进行预调查。在此阶段共计回收问卷202份,剔除无效问卷后,共计获得141份有效问卷。第二阶段收集研究所需全部问卷。经过为期三个月的收集,最终获取556份数据用于后续实证分析,其中有效问卷数433份,问卷有效率达77.9%

3)利用SPSS 25.0数据分析软件对所获得数据进行因子分析,将27个甘肃省淘宝村发展影响因素降维,最终获得4类公因子:宏观环境层因素、供应链层因素、支持层因素以及附着层因素。随后,在因子分析的基础上,选择以上述4类公因子为自变量,以甘肃省淘宝村生态系统发展完善程度为因变量构建回归方程进行回归分析,以确定4类公因子对甘肃省淘宝村发展的影响程度大小。回归分析结果显示:按照各公因子作用力大小进行排序依次是宏观环境层因素、附着层因素、支持层因素、供应链层因素。

4)基于因子分析和回归分析结果,为促进甘肃省淘宝村发展,可以从以下方面来改善甘肃省淘宝村发展:整合利用甘肃省自然资源促进淘宝村持续发展;构建完善的淘宝村法律保障体系;提升甘肃省整体经济发展水平;积极出台电商扶贫相关政策法规;促进系统内部核心群体和关键群体协调发展;形成长期合作的供应商;创新发展模式,打造产业品牌;推进甘肃省农村金融服务工作;促进农村电子商务物流服务体系建设;深入推进农村通信网络基础设施建设升级;引进专业化淘宝村电商发展服务公司;引导成立电商协会以及构建完善的淘宝村电商人才培养机制,助力甘肃省淘宝村健康、可持续发展,推动乡村振兴大力发展。

英文摘要

The gradual popularization of Internet technology and e-commerce has injected new impetus into the development of rural economy, and rural e-commerce represented by Taobao Village has emerged across the country, promoting rural revitalization and helping rural development. Taobao Village is a new model of e-commerce development. Its emergence can narrow the gap between urban and rural areas and make urban and rural development more coordinated. However, the regional differences in the development of Taobao villages in China are generally shown as more in the south and less in the north. The number of Taobao villages in economically developed areas is large and the development is relatively perfect, while the number of Taobao villages in economically underdeveloped areas is small and the development speed is slow. In terms of the development of Taobao Village in Gansu province, compared with other provinces in our country, the economic development of Gansu province is relatively backward, and the development of Taobao village is also in the initial stage, there are many restrictive factors. In order to promote the steady development and rural development of Taobao Village in Gansu province, this paper takes Taobao Village in Gansu Province as the research object, analyzes the influencing factors of the development of Taobao Village in Gansu province from the perspective of ecosystem, and puts forward countermeasures and suggestions to improve the development of Taobao Village in Gansu province. The research process and conclusions are as follows:

(1)The research topics of Taobao village were sorted out through literature analysis, mainly focusing on four aspects: Taobao village's support for rural revitalization, Taobao Village's formation driving mechanism, development history, spatial distribution and distribution characteristics, and Taobao Village industrial cluster research. Then the research questions were determined based on the actual development situation of Taobao Village in Gansu Province. That is, the influencing factors of the development of Taobao village in Gansu Province from the perspective of ecosystem. Finally, based on the business ecosystem theory and the existing research, the development ecosystem model of Taobao village in Gansu Province was established to determine the evaluation indicators.

(2)Based on the research model, design the survey questionnaire and collect the research data. Data collection is carried out in two stages: the first stage collects data for pre-survey. In this stage, a total of 202 questionnaires were recovered, and 141 valid questionnaires were obtained after excluding invalid questionnaires. The second stage requires all questionnaires. After three months of collection, 556 data were finally obtained for follow-up empirical analysis, among which 433 were valid questionnaires, and the questionnaire efficiency reached 77.9%.

(3) SPSS 25.0 data analysis software was used to conduct factor analysis on the obtained data, and 27 influencing factors of the development of Taobao villages in Gansu Province were reduced in dimension. Finally, four types of common factors were obtained: macro environment layer factor, supply chain layer factor, support layer factor and adhesion layer factor. Then, on the basis of factor analysis, the above four types of common factors were selected as independent variables, and the degree of ecosystem development perfection of Gansu Province's Taobao village was taken as dependent variable to construct regression equation for regression analysis, so as to determine the degree of influence of the four types of common factors on the development of Gansu Province's Taobao village. The results of regression analysis show that: according to the force of each common factor, the order is macro environment layer factor, adhesion layer factor, support layer factor, supply chain layer factor.

(4) Based on the results of factor analysis and regression analysis, in order to promote the development of Taobao Village in Gansu Province, the development of Taobao Village in Gansu Province can be improved from the following aspects: integrate and utilize the natural conditions of Gansu province to promote the sustainable development of Taobao village; Construct perfect Taobao village legal guarantee system; Improve the overall economic development level of Gansu Province; Actively promulgation of e-commerce poverty alleviation policies and regulations; Promote the coordinated development of core groups and key groups within the system; Form long-term cooperative suppliers; Innovate development mode, build industrial brand; Promote rural financial services in Gansu Province; Promote the construction of rural e-commerce logistics service system; Further promote the upgrading of rural communications network infrastructure; The introduction of specialized Taobao village e-commerce development service company; Guide the establishment of an e-commerce association and the construction of a sound training mechanism for e-commerce merchants in Taobao Village, help the healthy and sustainable development of Taobao Village in Gansu Province, and promote the vigorous development of rural revitalization.

学位类型硕士
答辩日期2024-05-18
学位授予地点甘肃省兰州市
语种中文
论文总页数90
参考文献总数72
馆藏号0006291
保密级别公开
中图分类号C93/95
文献类型学位论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/36551
专题信息工程与人工智能学院
推荐引用方式
GB/T 7714
王慧. 生态系统视角下的甘肃省淘宝村发展策略研究[D]. 甘肃省兰州市. 兰州财经大学,2024.
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