Spatial and Temporal Characteristics of Rural Revitalization Level and Its Influencing Factors—Take Guangdong Province as an Example

Wu Zhaojun; Wu Dafang; Li Shengfa; Liang Yixuan; Gao Ziya; Huang Siyu; Huang Sikai

doi:10.13961/j.cnki.stbctb.2023.06.042

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Spatial and Temporal Characteristics of Rural Revitalization Level and Its Influencing Factors—Take Guangdong Province as an Example

- Spatial and Temporal Characteristics of Rural Revitalization Level and Its Influencing Factors—Take Guangdong Province as an Example
- Bulletin of Soiland Water Conservation Vol. 43, Issue 6, Pages: 369-379(2023)
- 作者机构：
  
  1. 广州大学地理科学与遥感学院,广东,广州,510006
  2. 北京大学地表过程分析与模拟教育部重点实验室,北京,100871
  3. 广东省科学院广州地理研究所广东省遥感与地理信息系统应用重点实验室/广东省地理空间信息技术与应用公共实验室,广东,广州,510070
  4. 高州市禾生农业有限公司,广东,茂名,525200
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.06.042
  CLC： F129.9;F323
- Published：2023
- 稿件说明：
移动端阅览
Wu Zhaojun, Wu Dafang, Li Shengfa, et al. Spatial and Temporal Characteristics of Rural Revitalization Level and Its Influencing Factors—Take Guangdong Province as an Example[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 369-379.
DOI：

Wu Zhaojun, Wu Dafang, Li Shengfa, et al. Spatial and Temporal Characteristics of Rural Revitalization Level and Its Influencing Factors—Take Guangdong Province as an Example[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 369-379. DOI： 10.13961/j.cnki.stbctb.2023.06.042.

摘要

[目的] 综合评测广东省各地级市乡村振兴水平及其子系统发展水平，探究其在2017—2021年的时空演变特征与影响机制，为乡村振兴工程的持续推进提供科学参考。[方法] 基于产业兴旺、生活富裕、乡风文明、治理有效和生态宜居5个子系统构建测算体系，运用TOPSIS法测评广东省乡村振兴水平；运用冷热点分析法探究广东省乡村振兴水平与各子系统发展水平的时空演变特征；运用地理探测器分析乡村振兴的主要影响因素与各因子交互作用规律。[结果] ①研究时序内，广东省乡村振兴水平小幅度上升，同时研究单元的演变类型以等级跃升为主，珠三角地区始终为高值单元聚集区。各子系统发展水平变化相对一致，但研究单元的类型演变存在明显差异。②研究时序内，研究单元的各类属性整体上均以热点聚集为主要联系类型，且各属性的高值聚集区始终是珠三角地区。③2017—2021年，广东省乡村振兴的主要影响因素为财政支撑、产业优度和经济基础，各因子的交互类型在两个研究年均为非线性增强或双因子增强。[结论] 研究时段内广东省乡村振兴水平呈现小幅提升，各子系统发展水平则具有不同的演变态势，但均存在明显空间异质性，同时乡村振兴是多元要素共同驱动的结果。

Abstract

[Objective] The levels of rural revitalization and the development levels of its subsystems in various prefecture-level cities in Guangdong Province were evaluated comprehensively

and the spatio-temporal evolution characteristics and influencing mechanisms from 2017 to 2021 were explored

in order to provide scientific references for the continuous advancement of the rural revitalization project. [Methods] A measurement system was constructed based on five subsystems:prosperous industries

affluent livelihoods

civilized rural customs

effective governance

and eco-friendly habitation. The TOPSIS method was employed to assess the level of rural revitalization in Guangdong Province. Hot-spot analysis was used to investigate the spatio-temporal evolution characteristics of rural revitalization levels and the development levels of each subsystem in Guangdong Province. Geographical detectors were applied to clarify the main influencing factors of rural revitalization and the interaction patterns of each factor. [Results] ① During the study period

the level of rural revitalization in Guangdong Province showed a slight increase

and the evolution types of research units were predominantly characterized by grade improvement. The Pearl River Delta region consistently remained a high-value unit aggregation area. Although the development levels of each subsystem changed relatively consistently

there were notable differences in the evolution of research unit types. ② Over the study period

various attributes of research units were generally characterized by hot-spot aggregation

with high-value aggregation areas consistently located in the Pearl River delta. ③ From 2017 to 2021

the main influencing factors of rural revitalization in Guangdong Province were financial support

industrial excellence and economic foundation

and the interaction types of each factor are nonlinear or double-factor enhancement in the two study years. [Conclusion] Over the study period

the rural revitalization level in Guangdong Province displayed modest improvement

with varying evolution trends in the development levels of each subsystem. Notably

spatial heterogeneity was evident

emphasizing the multifaceted nature of factors driving rural revitalization.

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