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作 者:廖洋一 苏维词[1,2] LIAO Yangyi;SU Weici(College of Geography and Tourism,Chongqing Normal University,Chongqing 401331;Institute of Mountain Resources of Guizhou Province,Guiyang 550001,China)
机构地区:[1]重庆师范大学地理与旅游学院,重庆401331 [2]贵州省山地资源研究所,贵州贵阳550001
出 处:《地理与地理信息科学》2023年第4期54-62,共9页Geography and Geo-Information Science
基 金:教育部人文社会科学规划项目“三峡库区城乡融合发展的多维测度及优化路径研究”(20YJAZH093);重庆市自然科学基金项目“成渝双城经济圈城乡融合发展时空格局及驱动机制研究”(cstc2021jcyj-msxmX0791)。
摘 要:该文从发展性、共享性、可持续性3个维度构建共同富裕水平综合评价指标体系,运用熵值法、探索性空间数据分析和地理探测器探究2011—2020年重庆三峡库区15个区县共同富裕水平的时空分异特征及影响因素。结果表明:(1)研究期内重庆三峡库区整体及各区县共同富裕水平不断上升,区县间差距依然存在,但呈“良性追赶”态势,从各维度看,发展性维度共同富裕水平最高,共享性维度共同富裕水平增长最显著,可持续性维度共同富裕水平最低;(2)重庆三峡库区共同富裕水平等级由中等及以下水平提升至中等及以上水平,呈现出“西南高、东北低”的空间分布特征,地域差异显著;(3)库区共同富裕水平存在显著空间正相关,主要有高—高和低—低2种空间集聚类型;(4)经济发展、金融支撑、市场化水平和城镇化率为共同富裕水平的主导影响因子,区位因子、政府调控、地形条件与产业结构为重要影响因子,各影响因子交互作用类型表现为双因子增强或非线性增强。Taking the 15 districts in Chongqing section of Three Gorges Reservoir area as the research objects,this paper constructed a comprehensive evaluation index system of common prosperity level from three dimensions of developmental,shared,and sustainable.The entropy method,exploratory spatial data analysis,and geographical detector were utilized to explore the spatio-temporal differentiation characteristics and influencing factors of the level of common prosperity in the study area from 2011 to 2020.The results are as follows.①During the study period,the level of common prosperity in Chongqing section of Three Gorges Reservoir area,as well as in each district,has been continuously rising.Although the gap between districts still exists,it is showing a"benign catching-up"trend.The developmental dimension has the highest level of common prosperity,the shared dimension has the most significant growth of common prosperity level,and the sustainable dimension has the lowest level of common prosperity.②The common prosperity level in the study area has been upgraded from medium and below to medium and above,showing a spatial distribution feature of"high in the southwest and low in the northeast"with significant internal differences.③There is a significant positive spatial correlation in the level of common prosperity in the study area,mainly with two types of spatial agglomeration:high-high and low-low.④The dominant influencing factors of the common prosperity level are economic development,financial support,marketization level,and urbanization rate,while location,government regulation,terrain conditions,and industrial structure are important influencing factors.Additionally,the interaction types of influencing factors show a dual-factor strengthening or nonlinear strengthening.
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