浙江农业科学

浙江农业科学 ›› 2026, Vol. 67 ›› Issue (9): 2339-2344.DOI: 10.16178/j.issn.0528-9017.20260489

• 农业经济与信息 • 上一篇    

浙江农创客空间关联网络结构特征研究

李孝初1(), 肖琛闻2(), 李沐文3, 肖文瑄4   

  1. 1.浙江省农创客发展联合会，浙江 杭州 310020
    2.浙江省农业科学院 畜牧兽医研究所，浙江 杭州 310021
    3.浙江省萧山中学，浙江 杭州 311200
    4.杭州市临平第二高级中学，浙江 杭州 311199
  • 收稿日期:2026-06-23 出版日期:2026-09-11 发布日期:2026-09-24
  • 通讯作者: 肖琛闻
  • 作者简介:肖琛闻，E-mail：xiaochenwen2014@163.com。
    李孝初，主要从事创业创新和农创客培育工作。E-mail：58687500@qq.com。

Structural characteristics of the spatial correlation network of agripreneurs in Zhejiang Province

LI Xiaochu1(), XIAO Chenwen2(), LI Muwen3, XIAO Wenxuan4   

  1. 1.Agricultural Entrepreneurs Development Association of Zhejiang Province，Hangzhou 310020，Zhejiang
    2.Institute of Animal Husbandry and Veterinary Science，Zhejiang Academy of Agricultural Sciences，Hangzhou 310021，Zhejiang
    3.Xiaoshan High School，Zhejiang Province，Hangzhou 311200，Zhejiang
    4.Hangzhou Linping No. 2 High School，Hangzhou 311199，Zhejiang
  • Received:2026-06-23 Online:2026-09-11 Published:2026-09-24
  • Contact: XIAO Chenwen

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摘要：

?本研究以浙江省64个县（市、区）的农创客为研究对象，通过构建生计韧性综合评价指标体系（涵盖缓冲能力、自组织能力与学习能力3大维度），结合熵值法确定指标权重，并利用改进的引力模型构建农创客空间关联网络。通过UCINET 6.0和ArcGIS软件对网络密度、中心性及凝聚子群进行分析，发现浙江省农创客空间关联网络整体连接密度较低（网络密度为0.156 8），但存在明显的空间集聚特征。杭州、湖州等核心区域因资源集聚和政策优势成为网络枢纽，而地理邻近性、产业互补性是形成强空间关联的主要驱动因素。研究为优化农创客区域协同发展政策提供了理论依据与实践参考。

关键词: 农创客, 生计韧性, 空间关联网络, 引力模型, 空间结构

Abstract:

This study focuses on agripreneurs in 64 counties（cities and districts）of Zhejiang Province as the research subjects. By constructing a comprehensive livelihood resilience evaluation index system（covering three dimensions：buffering capacity，self-organizing capacity，and learning capacity），the entropy method was employed to determine indicator weights. An improved gravity model was then used to establish the spatial network structure of agripreneurs. Using UCINET 6.0 and ArcGIS software，network density，centrality，and cohesive subgroups were analyzed. The findings reveal that the overall network connectivity density of agripreneurs in Zhejiang is relatively low（network density of 0.156 8），yet significant spatial clustering characteristics exist. Core regions such as Hangzhou and Huzhou emerge as network hubs due to resource aggregation and policy advantages，while geographical proximity and industrial complementarity serve as primary drivers of strong spatial associations. The research provides theoretical foundations and practical references for optimizing regional collaborative development policies for agripreneurs.

Key words: agripreneurs, livelihood resilience, spatial correlation networks, gravity model, spatial structure

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