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中国沙漠 ›› 2022, Vol. 42 ›› Issue (6): 255-265.DOI: 10.7522/j.issn.1000-694X.2022.00090

• • 上一篇    

黄河流域非物质文化遗产的空间分异格局及其影响机制

慕石雷1(), 元志辉2,3,4(), 乌日陶克套胡null1   

  1. 1.内蒙古师范大学,民族学人类学学院,内蒙古 呼和浩特 010022
    2.内蒙古师范大学,地理科学学院,内蒙古 呼和浩特 010022
    3.内蒙古师范大学,内蒙古自治区遥感与地理信息系统重点实验室,内蒙古 呼和浩特 010022
    4.乌兰察布市自然资源局,内蒙古 乌兰察布 012000
  • 收稿日期:2022-05-26 修回日期:2022-08-25 出版日期:2022-11-20 发布日期:2023-01-09
  • 通讯作者: 元志辉
  • 作者简介:元志辉(E-mail: 498805579@qq.com
    慕石雷(1983—),男,河北定州人,博士研究生,主要从事民族经济、牧区经济的研究。E-mail: 443623810@qq.com
  • 基金资助:
    国家社会科学基金项目(20XMZ060);国家民委民族研究项目(2020-GMD-040);内蒙古师范大学研究生科研创新基金项目(CXJJB21018);内蒙古师范大学基本科研业务费专项资金项目(2022JBXC010)

Spatial differentiation pattern and impacting mechanism of intangible cultural heritages in the Yellow River Basin

Shilei Mu1(), Zhihui Yuan2,3,4(), Wuritaoketaohu1   

  1. 1.College of Ethnology and Anthropology /, Inner Mongolia Normal University,Hohhot 010022,China
    2.College of Geographical Sciences /, Inner Mongolia Normal University,Hohhot 010022,China
    3.Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University,Hohhot 010022,China
    4.Bureau of Natural Resources of Ulanqab City,Ulanqab 012000,Inner Mongolia,China
  • Received:2022-05-26 Revised:2022-08-25 Online:2022-11-20 Published:2023-01-09
  • Contact: Zhihui Yuan

摘要:

以黄河流域9省区441个县域单元为研究区域,采用最邻近点指数、核密度估计、全局莫兰指数等方法分析黄河流域560项国家级非物质文化遗产的空间分布格局,并利用地理探测器的分异和交互作用探测影响因素与因子间的耦合互馈关系。结果表明:(1)黄河流域非遗空间分布地区差异显著。在区域分布上,中游非遗最多,下游非遗最少;在省域分布上,山西非遗最多,四川非遗最少;在县域分布上,菏泽市牡丹区非遗最多。(2)黄河流域非遗的最邻近指数为0.78,且置信度为99%,在空间分布上呈明显的集聚分布特征。(3)核密度呈集聚分布态势,形成“多核四带”的空间分布格局。(4)经济社会文化因素比自然因素的影响更显著,其中文化因素的博物馆和全国重点文物保护单位因子对非遗的空间分布影响最强,经济因素的人口、地区生产总值和城镇化水平因子较强,社会因素的交通和民族因子较弱,自然地理因素的地形地貌、气温、降水量因子的影响力整体最弱,因子间交互作用探测对非遗空间分布的影响解释力更强。

关键词: 非物质文化遗产, 空间分异, 影响机制, 黄河流域

Abstract:

This research explores 441 county-level areas in nine provinces and autonomous regions of the Yellow River Basin. The spatial distribution pattern of 560 national intangible cultural heritage sites in the Yellow River Basin is analyzed by using methods such as nearest neighbor index, kernel density estimation, and global Moran index. The following conclusions are drawn by using the differentiation and interaction of geographic detectors to detect the coupling and mutual feedback relationship between influencing factors and sub-factors: (1) Intangible cultural heritages in the Yellow River Basin differs variably in spatial distribution. In terms of regional distribution, the middle reaches have the most intangible cultural heritage sites and lower reaches the least; in terms of provincial distribution, Shanxi has the most intangible cultural heritage sites and Sichuan the least; in terms of county-level distribution, Mudan District in Heze has the most intangible cultural heritage sites. (2)The Yellow River Basin has the nearest neighbor index for the intangible cultural heritage of 0.78 and a confidence level of 99%, showing significant clustering spatial distribution characteristics. (3) Nuclear density follows a trend of clustered distribution, forming a multi-core, four-belt spatial distribution pattern. (4) Economic, social and cultural factors are more influential than natural factors. Among cultural factors, museums and national key cultural relics protection units have the biggest impact on the spatial layout of intangible cultural heritage; among economic factors, the population, gross regional product and urbanization level are strong; among social factors, transportation and ethnic group are weak; and among natural geography factors, topography, temperature and precipitation have the weakest impact on the whole. Detecting the interaction between various factors has a stronger effect in interpreting the spatial distribution of intangible cultural heritages.

Key words: intangible cultural heritage, spatial differentiation, impacting mechanism, Yellow River Basin

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