摘要
基于县域尺度,建立投入-产出的旅游发展效率指标体系,运用Super-SBM的DEA模型测度2017年秦巴山区县域旅游业发展效率,进而采用地理探测器模型分析其影响因素。结果显示:(1)从空间分布特征看,秦巴山区县域旅游业发展效率整体上呈现中北部地区高、东西两侧低的空间格局。高效率、较高效率值区主要分布在秦巴山区北部,西起两当县,东至柞水县,涵盖太白县、宁陕县等地,形成东西走向的连绵带。较低、低值效率值区则分布范围较为广泛,占据主导地位,呈现“一带一片区”的空间特征。(2)从空间关联特征看,秦巴山区旅游效率呈现出空间集聚态势。热点地区呈现明显的“双核”结构,分布在秦巴山区北部的连绵形高值集聚区域,冷点区集中分布在东部低值集聚区。(3)从地理探测器的探测结果来看,秦巴山区旅游效率空间分异现象解释力的排名从大到小依次为二三产业从业人员(X5)、人均工业增加值(X2)、海拔高程(X7)、人均GDP(X1)、城镇化率(X4)、第三产业占比(X6)、工业增加值(X3);第三产业占比(X6)∩海拔高程(X7)、人均GDP(X1)∩海拔高程(X7)、二三产业从业人员(X5)∩工业生产总值(X3)、二三产业从业人员(X5)∩第三产业占比(X6)。
Based on county scale,the establishment of index system for the tourism development efficiency of input-output,77 counties in Qinba Mountain Area as the research object,the Super-SBM model,ESDA space detection analysis method,inverse distance weighting method,analyses the regional tourism development efficiency of Qinba Mountain Area space differentiation,at the same time using geographical probe model explores its influence factor.The results are as follows:(1)from the spatial distribution characteristics,Qinba Mountain Area county tourism development efficiency is high,of north-central presents on the whole thing on both sides of the lower spatial pattern.The area with high efficiency and high efficiency value is mainly distributed in the north of Qinba Mountain Area,from Liangdang County in the west to Zhashui County in the east,covering Taibai County and Ningshan County,forming an east-west continuous belt and forming a high-value cluster area in the north.Low value area,low efficiency,wider range,the dominant,the overall distribution and the position of the eastern ends in the south of Qinba Mountain Area,has a"neighbourhood"area of space characteristics,mainly in the southwest of Qinba Mountain Area form a shape of a long,narrow and winding northeast to the southwest-"M"shape low-value belt,a series of covered much Longnan County in the eastern district has formed a"triangle"low-value small area,mainly distributed in Henan province county.(2)from the characteristics of spatial correlation,the Moran'si value of tourism efficiency is 0.0613,and the tourism efficiency of Qinba Mountain Area area shows a spatial clustering trend.Hot spots for dam,ZhaShui counties and grassland,municipal districts,presents the obvious"dual-core"structure,distributed in the north of Qinba Mountain Area form a series of high value agglomeration area,hot zone for Beichuan County and Zhenan County,spatial pattern of relatively scattered,distributed in the southwest of Qinba Mountain Area high concentrated area and continuous belt ar
作者
孟怡伟
简子菡
丁志伟
Meng Yiwei;Jian Zihan;Ding Zhiwei(College of Geography and Environmental Science/The Center for the Regional Development and Planning,Ministry of Education,Henan University,Kaifeng 475004,China;Collaborative Innovation Center of Urban-Rural Coordinated Development,Zhengzhou 450046,China)
出处
《旅游论坛》
2021年第4期64-76,共13页
Tourism Forum
基金
国家自然科学基金项目(41701130)
2021年度河南省高校科技创新人才支持计划(2021-CX-016)
中国红色旅游发展水平的空间分异及影响因素研究(2020HGSYJX008)
中原城市群现代化城镇体系建设研究(2020BJJ018)。
