绿色宜居视角下湖北省乡村建设评价及分类施策研究

Study on the Evaluation of Rural Construction and Categorization of Strategies in Hubei Province Under the Perspective of Green Livability

  • 摘要: 为掌握乡村建设状况和水平,精准识别农村急愁难盼问题和乡村建设短板,文章选择湖北省64个县作为研究对象,从绿色宜居视角构建评价指标体系,主要涵盖“绿色生产、宜居生活、有效治理、服务均等、设施完善”5个一级指标和15个二级指标。综合运用调查统计、主成分分析(PCA)、聚类分析(CA)和地理探测器(GeoDetector)构建综合评价模型,研究各县乡村绿色宜居水平、类型与关键影响因素。研究发现:1)湖北省绿色宜居乡村建设水平呈现中部平原高、东西部山区低,绿色宜居水平的区域差异显著;2)K-means聚类分析发现湖北省64个县可聚类为3类,3类县域乡村空间分布与地形地貌分布存在一定联系;3)地理探测因子分析发现地形地貌为3类县的最强驱动因素,其中类型I乡村受第一产业增速影响更大,类型II乡村受人均可支配收入影响更大,类型III乡村受森林覆盖率影响更大。研究为绿色宜居乡村建设提供了评价方法模型,其结果也为各县制定差异化的乡村发展策略提供了依据,对促进长江中游地区乡村全面振兴和可持续发展具有重要意义。

     

    Abstract: In order to grasp the situation and level of rural construction, and accurately identify the problems of rural anxieties and short boards of rural construction, 64 counties in Hubei Province were selected as the research objects, and the evaluation index system was constructed from the perspective of green livability, which mainly covers 5 first-level indexes and 15 second-level indexes, including 'green production, livable life, effective governance, equal service, and perfect facilities'. Survey statistics, principal component analysis (PCA), cluster analysis (CA) and GeoDetector were used to construct a comprehensive evaluation model to study the level, type and key influencing factors of green livability in counties and villages. It is found that: 1) the level of green livable countryside construction in Hubei Province is high in the central plains and low in the mountainous areas in the east and west, and the regional differences in the level of green livability are significant; 2) K-means cluster analysis finds that the 64 counties in Hubei Province can be clustered into three types, and there is a certain connection between the spatial distribution of the countryside in the three county areas and the distribution of the topography and geomorphology; 3) GeoDetector analysis finds that the topography and geomorphology is the strongest driving factor for the three types of counties, where the type of countryside is influenced by the growth rate of the primary industry. The countryside is more influenced by the growth rate of primary industry; Type II countryside is more influenced by per capita disposable income; Type III countryside is more influenced by forest cover. The study provides an evaluation method model for the construction of green and livable villages, and the results also provide a basis for counties to formulate differentiated rural development strategies, which is of great significance for promoting the comprehensive revitalization and sustainable development of villages in the middle reaches of the Yangtze River.

     

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