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作 者:张茜茜 廖和平[1,2] 巫芯宇[1,2] 张亚飞 龙辉 ZHANG Qian-qian;LIAO He-ping;WU Xin-yu;ZHANG Ya-fei;LNOG Hui(School of Geographical Science, Southwest University, Chongqing 400715,China;Institute of Land Resource, Southwest University, Chongqing 400715, China)
机构地区:[1]西南大学地理科学学院,重庆400715 [2]西南大学国土资源研究所,重庆400715
出 处:《西南大学学报(自然科学版)》2019年第4期1-9,共9页Journal of Southwest University(Natural Science Edition)
基 金:国家自然科学基金项目(41701611);重庆市技术预见与制度创新重点项目(cstc2017jsyj-jsyjBX0015);西南大学中央高校基本科研业务费专项资金项目(XDJK2014C114)
摘 要:为探索乡村"人口、土地利用、产业"3要素转型空间的差异及影响因素,了解单要素转型加速的核心影响因素对乡村转型可持续发展的影响,运用均方差赋权法从"人口、土地利用、产业"测算重庆市渝北区近郊2镇2010年与2017年乡村转型度,对比3要素对乡村转型度贡献率,分别得到3要素转型优势区域(A区、B区、C区);并从自然条件、区位条件及经济条件3方面选取6个影响因素,采用地理探测器模型,探测各因素对3要素转型度及转型优势区决定力大小.结果显示:①研究区人口转型特征明显,产业次之,土地利用转型最差,各转型优势区村数量从大到小依次为A区、B区、C区;②影响因素探测显示,农村耕地数量、农村经济总收入、坡度、到主要交通干道距离分别是影响近郊区乡村"人口、土地利用、产业"转型加速的主要因素.统筹不同区位乡村发展速度、稳固农村经济社会发展态势、保护农村耕地数量、稳步推进农业产业结构升级是实现近郊区乡村高质量发展的关键.The coordinated development of rural "population, land use and industry" is the necessary condition for rural revitalization. Therefore, it is of great significance to explore the difference in transformation degree of these 3 factors and to clarify the core influencing factors for fostering their sustainable transformation. In the paper, the transformation degree of population, land use and industry of 2 peri-urban towns in Yubei District of Chongqing in 2010 and 2017 is first calculated with the mean variance empowerment method and their advantageous regions are identified as Regions A, B and C, then the contributions of the three factors to rural transformation are compared and, finally, 6 influencing factors are selected from the aspects of natural, location and economic conditions to explore the determinant power of these factors for transformation degree, using a geographical detector model. The results show that population transformation is more visible than industry transformation and land use transformation, which is different from previous researches and the number of fastest transformation villages of each evaluation target is population > industry > land use. The factor detector analysis indicates that the amount of rural cultivated land, rural GDP, and the slope, the distance to the main roads and amount of rural cultivated land are the dominant factors affecting the rural population transformation degree, the land use transformation degree and industrial transformation degree of the peri-urban areas, respectively. Therefore, coordination of the development speed of rural areas in different locations is the key to realizing a sustainable development of rural areas, creating a stable development environment, protecting the amount of rural cultivated land and promoting the upgrading of the agricultural industrial structure.
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