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中文题名:

 广东省淘宝村时空特征及影响因素分析    

姓名:

 朱瑞颖    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 070504    

学科专业:

 地理信息科学    

学生类型:

 学士    

学位:

 理学学士    

学位年度:

 2024    

校区:

 珠海校区培养    

学院:

 知行书院    

第一导师姓名:

 刘素红    

第一导师单位:

 地理科学学部    

提交日期:

 2024-05-22    

答辩日期:

 2024-05-13    

外文题名:

 Spatio-temporal characteristics and influencing factors of Taobao village in Guangdong province    

中文关键词:

 淘宝村 ; 时空演变 ; 广东省    

外文关键词:

 Taobao Village ; spatio-temporal evolution ; Guangdong Province    

中文摘要:

自2017年党的十九大报告提出乡村振兴战略以来,农村电子商务行业有效整合了信息、资金等要素与乡村资源优势,得到迅速发展,从而进一步加速乡村城镇化的进程。特别是淘宝村这一新兴业态,正逐渐成为农村电子商务发展的新方向,为乡村经济振兴注入了新的活力,自2009年由阿里研究院认定第一批“淘宝村”后,数量近几年呈现爆炸性增长,到2022年,淘宝村的数量已经达到了7780个。本文以广东省淘宝村为研究对象,选取2018-2022近五年广东省淘宝村数据,对其时空发展特征进行分析,并分析其影响因素,总结提升路径,以期为广东省淘宝村可持续健康发展提供参考。研究发现,广东省的淘宝村表现出明显的集群化特征,具体表现出局部相对集中、整体相对分散和双中心的分布形态,且在空间分布上表现出显著的空间正向自相关特性,集聚程度有所提升。此外,不同影响因素对广东省淘宝村存在正向或负向影响,且影响程度存在显著差异。

外文摘要:

Since the report of the 19th National Congress of the Communist Party of China proposed the strategy of rural revitalization in 2017, the rural e-commerce industry has effectively integrated information, capital, and other factors with rural resource advantages, achieving rapid development, thereby further accelerating the process of rural urbanization.Notably, the emerging business model of "Taobao Villages" is gradually becoming a new direction for the development of rural e-commerce, injecting fresh vitality into the revitalization of the rural economy. Since the Ali Research Institute identified the first batch of "Taobao Villages" in 2009, their number has exploded in recent years, reaching 7780 by 2022.This paper takes Taobao Villages in Guangdong Province as the research object, selects data from the past five years (2018-2022) to analyze their spatio-temporal development characteristics and influencing factors, aiming to summarize improvement paths and provide references for the sustainable and healthy development of Taobao Villages in Guangdong.The study finds that Taobao Villages in Guangdong exhibit distinct clustering characteristics, manifesting as locally concentrated, overall dispersed, and dual-centered distribution patterns. Moreover, they display significant positive spatial autocorrelation in their spatial distribution, indicating an increase in clustering. Additionally, different influencing factors have positive or negative impacts on Taobao Villages in Guangdong, with significant differences in their influence levels.

参考文献总数:

 42    

馆藏号:

 本070504/24001Z    

开放日期:

 2025-05-23    

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