湖北农业科学 ›› 2021, Vol. 60 ›› Issue (19): 200-206.doi: 10.14088/j.cnki.issn0439-8114.2021.19.041

• 经济·管理 • 上一篇    下一篇

山东省特色小镇空间分布及影响因素研究

董昊, 许秀梅   

  1. 青岛农业大学管理学院,山东 青岛 266109
  • 收稿日期:2021-05-08 出版日期:2021-10-10 发布日期:2021-10-22
  • 作者简介:董 昊(1996-),男,山东青岛人,在读硕士研究生,研究方向为农业管理,(电话)17605425761(电子信箱)704416593@qq.com。
  • 基金资助:
    山东省社科规划项目(19CQXJ39); 青岛市社科规划项目(QDSKL1901173); 青岛农业大学研究生创新计划项目(QNYCX20012)

Spatial distribution and influencing factors of characteristic towns in Shandong province

DONG Hao, XU Xiu-mei   

  1. School of Management,Qingdao Agricultural University,Qingdao 266109,Shandong,China
  • Received:2021-05-08 Online:2021-10-10 Published:2021-10-22

摘要: 选取国家级和省级两批名单公布的125个特色小镇为研究样本,应用ArcGIS 10.2软件,分析山东省特色小镇的空间分布特征及影响因素。结果表明,山东省特色小镇空间分布类型为离散型;山东省特色小镇与均匀分布有一定差异,处于分散状态,但分散偏向均匀;大致以东营东海岸线-临沂东边界线为分界线,以西地区小镇数量多且分散,而东部沿海城市分布相对较密集;山东省特色小镇空间分布与经济发展和人口数量的配合程度较高,空间联系较紧密。以上分析为优化山东省特色小镇空间布局提供有益参考与借鉴。

关键词: 特色小镇, 空间分布, 影响因素, 山东省

Abstract: 125 Characteristic towns published in the national and provincial lists are selected as the research samples, and the spatial distribution characteristics and influencing factors of characteristic towns in Shandong province are analyzed by using ArcGIS 10.2 software. The results show that the spatial distribution of characteristic towns in Shandong province is discrete. There are some differences between the characteristic towns and the uniform distribution in Shandong province,which are in a decentralized state, but the dispersion tends to be uniform. It is roughly divided by the eastern coastline of Dongying and the eastern boundary of Linyi. The number of characteristic towns in the west is large and scattered, while the distribution of cities in the east is relatively dense. The spatial distribution of characteristic towns in Shandong province has a high degree of coordination with economic development and population. The spatial connection is relatively close. The above analysis provides a useful reference for optimizing the spatial layout of characteristic towns in Shandong province.

Key words: characteristic towns, spatial distribution, influencing factors, Shandong province

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