长江流域资源与环境 >> 2025, Vol. 34 >> Issue (09): 2132-.doi: 10.11870/cjlyzyyhj202509019

• 农业发展 • 上一篇    

主体功能区视角下大都市郊区乡村发展潜力空间格局与障碍因素诊断

朱从谋1,2,张宇1,2,骆宇3,钱潇瑢4,苑韶峰1,2*,张晶5   

  1. (1.浙江工商大学统计数据工程技术与应用协同创新中心,浙江 杭州 310018;2.浙江工商大学公共管理学院,浙江 杭州 310018;3.桐庐县房屋征收补偿管理服务中心,浙江 杭州 311500;4.桐庐县土地整治开发利用有限公司,浙江 杭州 311500;5.浙江大学新农村发展研究院,浙江 杭州 310058)
  • 出版日期:2025-09-20 发布日期:2025-09-22

Spatial Pattern and Obstacle Factors of Rural Development Potential in Metropolitan Suburbs From the Perspective of Major Function Oriented Zoning

ZHU Cong-mou1,2,ZHANG Yu2,LUO Yu3,QIAN Xiao-rong4, YUAN Shao-feng1,2,ZHANG Jing5   

  1. (1.Collaborative Innovation Center of Statistical Data Engineering Technology & Application, Zhejiang Gongshang University, Hangzhou 310018, China; 2.School of Public Affairs, Zhejiang Gongshang University, Hangzhou 310018, China; 3.Tonglu County House Acquisition and Compensation Management Service Center, Hangzhou 311500, China; 4.Tonglu County Land Consolidation Developmen and Utilization Co.,Ltd,Hangzhou 311500,China;5.China Academy for Rural Development, Zhejiang University, Hangzhou 310058, China)
  • Online:2025-09-20 Published:2025-09-22

摘要: 探究不同主体功能区划下乡村发展潜力空间格局及其障碍因素对于优化主体功能落地和乡村差异化发展具有重要意义。以杭州市临安区为例,运用多源数据从乡村发展能力、发展活力和生态承载力3个维度综合评价乡村发展潜力,并利用空间自相关分析、障碍度模型等方法分析不同主体功能区乡村发展潜力结构、空间格局和障碍因素差异。结果表明:(1)研究区乡村发展潜力总体表现出城镇化潜力区、城镇化优势区向生态经济区和重点生态区梯级递减特征,高值集聚区以块状形态分布在各主体功能区核心村镇周边,低值集聚区主要沿南北边界地带分布;(2)乡村发展潜力3个维度在各类主体功能区具有不同程度的空间差异性和集聚性,城镇化优势区和重点生态区乡村发展潜力各维度的协同作用强于城镇化潜力区和生态经济区;(3)不同主体功能区内乡村发展潜力的障碍因子呈趋同态势,信息流、乡村工业经济产值、物流和林地流转率4项指标是各主体功能区内乡村发展潜力的公共障碍因子,人均耕地、购物便利度和公交通达度等因子对不同主体功能区乡村发展潜力具有重要影响。研究结果有助于丰富乡村发展潜力内涵和测度方法,可为差异化制定乡村振兴策略提供决策参考。

Abstract: Exploring the distribution pattern and obstacles of rural development potential under different functional zoning is of great significance for optimizing the implementation of major functional zoning and promoting differentiated rural development. Taking Lin'an District of Hangzhou City as an example, this study used multi-source data to comprehensively evaluate rural development potential from three dimensions, including rural development capacity, development vitality, and ecological carrying capacity. Spatial auto-correlation analysis and obstacle degree model were further used to analyze the structural differences, spatial patterns, and obstacle factors of rural development potential in different major functional zones. The results showed that: (1) The overall rural development potential in the study area showed a decreasing trend from urbanization potential areas and urbanization advantage areas to ecological economic areas and key ecological areas. High-value agglomeration areas were distributed in blocks around the core villages and towns in various functional zones, while low-value agglomeration areas were mainly distributed along the northern and southern boundary areas; (2) The three dimensions of rural development potential had varying degrees of spatial differences and spatial agglomeration in various major functional zones. The synergistic effect of the three dimensions of rural development potential in urbanization advantage areas and key ecological areas were stronger than that in urbanization potential areas and ecological economic areas; (3) The obstacles to the rural development potential in different major functional zones showed a convergence trend. Four indicators including rural information flow, rural industrial economic output value, logistics, and forest land transfer rate were the public barrier factors for rural development potential in all the major functional zones. Certain factors including per capita cultivated land, shopping convenience, and public transportation accessibility had important impacts on the rural development potential in different major functional zones. These results contributed to the enrichment of the connotation and measurement methods of rural development potential, and could provide decision-making references for differentiated formulation of rural revitalization strategies.

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