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作 者:资明贵 张春燕[2,3] 罗静 周怡[3] ZI Minggui;ZHANG Chunyan;LUO Jing;ZHOU Yi(School of Geography and Tourism,Shaanxi Normal University,Xi'an 710119,Shaanxi,China;Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province,Central China Normal University,Wuhan 430079,Hubei,China;College of Urban and Environmental Sciences,Central China Normal University,Wuhan 430079,Hubei,China)
机构地区:[1]陕西师范大学地理科学与旅游学院,陕西西安710119 [2]华中师范大学地理过程分析与模拟湖北省重点实验室,湖北武汉430079 [3]华中师范大学城市与环境科学学院,湖北武汉430079
出 处:《经济地理》2024年第1期88-98,共11页Economic Geography
基 金:国家自然科学基金项目(42101209、42071186、42371426);湖北省自然科学基金项目(2021CFB534);中国旅游研究院(研究生)优奖计划基金项目。
摘 要:文章构建人—居—业协同视域下县域福祉分析框架,以大别山区27县(市、区)为研究区域,运用熵权TOPSIS法测度了县域福祉水平,采用泰尔指数、地理探测器等方法刻画了县域福祉水平的时空格局,并剖析了研究区域福祉指数时空分异的影响因素及驱动机理。研究发现:(1)2011—2020年,各县的福祉指数值分布在0.151~0.554间,整体而言,该区县域福祉指数均有进一步提升的空间。随着时间的变迁,各县福祉指数的差异性正逐步缩小。(2)在不同时间节点,以大别山走向为轴,东北一侧县域的福祉水平相对较高,且相对较高水平福祉指数的县域大多分布于研究区的外围地区,县域福祉指数等级均体现为稳定或向上变化。(3)县域福祉的时空差异特征是多个影响因子共同作用的结果,战略、主体、客体、动力与互馈5个层面的力量在不同时期对福祉水平发挥着差异化的作用。Taking the 27 counties(cities,districts) in the Dabie Mountains and based on the analysis framework of wellbeing level from a perspective of human-living-industry synergy,this paper measures their well-being level by the means of the entropy weight TOPSIS,uses the methods of the Theil index and the GeoDetector to analyze the spatiotemporal pattern of well-being level of 27 counties(cities,districts),and analyzes the influencing factors and driving mechanism of spatiotemporal differentiation of well-being level in the research area.It's found that:1) From 2011 to 2020,the range of well-being level value in each county is between 0.151 and 0.554.Overall,there is room for further improvement in the county's well-being level,the differences in the well-being level of each county are gradually narrowing.2) At different time points,counties with relatively high value of well-being level mostly distribute on the northeastern side of the Dabie Mountains and spread in the peripheral areas of research area,the well-being level is stable or increasing.3) The spatiotemporal difference characteristics of well-being level at the county scale are the result of the joint action of multiple influencing factors.The forces of strategy,subject,object,power,and feedback play differentiated roles in the wellbeing level at different time.
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