湖北农业科学 ›› 2022, Vol. 61 ›› Issue (20): 203-210.doi: 10.14088/j.cnki.issn0439-8114.2022.20.038

• 信息工程 • 上一篇    下一篇

山东省地理标志农产品空间分布及影响因素研究

李臻, 季民, 王映然   

  1. 山东科技大学测绘与空间信息学院,山东 青岛 266590
  • 收稿日期:2021-11-26 出版日期:2022-10-25 发布日期:2022-11-23
  • 通讯作者: 季 民(1970-),男,山东德州人,教授,博士,主要从事空间数据组织和GIS系统应用开发,(电子信箱)Jamesjimin@126.com。
  • 作者简介:李 臻(1998-),女,江苏徐州人,硕士,研究方向为农业地理与经济,(电话)17862687162(电子信箱)zli0929@163.com。
  • 基金资助:
    山东省重大科技创新工程项目(2019JZZY020103)

Study on the spatial distribution and influencing factors of geographical indication agricultural products in Shandong Province

LI Zhen, JI Min, WANG Ying-ran   

  1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • Received:2021-11-26 Online:2022-10-25 Published:2022-11-23

摘要: 以山东省473个地理标志农产品为研究样本,利用ArcGIS10.2、Geoda以及SPSS软件,采用最近邻指数、莫兰指数和核密度分析等GIS空间分析方法,结合基尼系数对山东省各类标志农产品的空间分布特征及影响因素进行了研究。结果表明,①山东省地理标志农产品种类繁多,以果品和蔬菜类农产品为主,济宁市和潍坊市是农产品数量最多的城市。②地理标志农产品的空间分布受到自然地理环境、人口、经济与文化等因素的影响。针对标志性农产品的发展提出了相应的对策,为促进区域经济发展和提升区域产品的知名度提供理论参考。

关键词: 地理标志农产品, 空间分布, 影响因素, 山东省

Abstract: 473 geographical indication agricultural products in Shandong Province were used as research samples, and the spatial distribution characteristics and influencing factors of various types of geographical indication agricultural products in Shandong Province were studied by using ArcGIS10.2, Geoda and SPSS software, GIS spatial analysis methods such as nearest neighbor index, Moran index and kernel density analysis, combined with Gini coefficient. The results showed that: ①There were many kinds of geographical indication agricultural products in Shandong Province, mainly fruits and vegetables. Jining city and Weifang city were the cities with the largest number of agricultural products. ②The spatial distribution of GI agricultural products was influenced by factors such as natural geographical environment, population, economy and culture. Finally, this paper put forward corresponding countermeasures for the development of iconic agricultural products to provide theoretical references for promoting regional economic development and enhancing the popularity of regional products.

Key words: geographical indication for agricultural product, spatial distribution, influencing factor, Shandong Province

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