自然资源学报 ›› 2022, Vol. 37 ›› Issue (1): 121-134.doi: 10.31497/zrzyxb.20220109

• 其他研究论文 • 上一篇    下一篇

宁夏生态移民社区生活空间融合与重构的影响因素及机理——以宁夏闽宁镇为例

赵多平1,2(), 赵伟佚1, 撒小龙1, 曹兰州1, 田伟荣1   

  1. 1.宁夏大学地理科学与规划学院,银川 750021
    2.宁夏大学法学院,银川 750021
  • 收稿日期:2020-10-12 修回日期:2021-03-15 出版日期:2022-01-28 发布日期:2022-03-28
  • 作者简介:赵多平(1978- ),男,内蒙古鄂尔多斯人,博士,教授,博士生导师,研究方向为旅游开发与规划、民族地区社区空间与治理。E-mail: zdp@nxu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41761024)

Influencing factors and mechanism of living space integration in an ecological migrant community of Ningxia:Taking Minning town as an example

ZHAO Duo-ping1,2(), ZHAO Wei-yi1, SA Xiao-long1, CAO Lan-zhou1, TIAN Wei-rong1   

  1. 1. School of Geography and Planning, Ningxia University, Yinchuan 750021, China
    2. Law School, Ningxia University, Yinchuan 750021, China
  • Received:2020-10-12 Revised:2021-03-15 Online:2022-01-28 Published:2022-03-28

摘要:

生态移民的空间位移引致了迁入区多因素的相互作用及长期演化,成为多学科深入探究的重要问题之一。以闽宁镇生态移民社区为例,采用主成分分析法和地理探测器分析法,对生态移民社区生活空间融合的影响因素和机理进行了研究,结果发现:(1)生态移民社区生活空间融合与重构受多种因素影响,生活基础设施、经济收入增长、移民社区环境、邻里关系、政府政策、民族生活六个主成分对生态移民社区生活空间融合的影响可以起到解释作用。(2)影响生态移民社区生活空间的因子解释力由强到弱依次排序为:X1生活基础设施>X2经济收入增长>X3邻里关系>X4政府政策>X5民族生活>X6移民社区环境;交互探测结果表明社区各要素因子交互后因子解释力呈双线性增强,即任意两个因子交互作用对于生态移民社区生活空间融合的影响强度都大于单个因子的独自作用强度。(3)各影响因素之间的互动影响,共同促进生态移民社区固有的生活方式、文化习惯、社会交往关系的演化,进而形成了生活空间的融合与重构。

关键词: 生态移民, 生态移民, 空间融合, 空间融合, 主成分分析, 主成分分析, 地理探测器, 地理探测器

Abstract:

In the process of ecological migration, the displacement of living space of migrants leads to the interaction and long-term evolution of the economic, social, cultural, geographical and environmental factors of the migration area and emigration area, which has become an important part of multidisciplinary inquiry problem. Taking the ecological migrant community in Minning town as the research object, the relevant data information was obtained through the questionnaire, and the influencing factors and mechanism of the living space integration of the ecological migrant community were studied by principal component analysis method and geographic detector analysis method. The results show that: (1) The principal component analysis indicates that the influence of living infrastructure, economic income growth, migrant community environment, neighborhood relationship, government policy and "national life" on the integration of living space in ecological migrant communities can be explained. (2) Factor detection shows that the explanatory factors affecting the living space of the ecological migrant community are ranked in the order of X1 living infrastructure>X2 economic income growth>X3 neighborhood relationship>X4 government policy>X5 national life>X6 migrant community environment. The results of interactive detection show that the explanatory power after factor interaction was enhanced bilinear, that is, the interaction of any two factors on the spatial fusion of ecological migration community is greater than that of a single factor. (3) The interaction between the influencing factors promotes the reconstruction of the inherent living customs, cultural beliefs and social relations of the ecological migrant community.

Key words: ecological migration, ecological migration, spatial integration, spatial integration, principal component analysis, principal component analysis, geographic detector, geographic detector