首页|大湘东地区乡村旅游与新型城镇化耦合协调时空演变及影响因素研究

大湘东地区乡村旅游与新型城镇化耦合协调时空演变及影响因素研究

扫码查看
文章基于2013-2022 年大湘东地区8 个县市的面板数据,运用GIS、综合评价模型、耦合协调度模型、灰色关联度模型分析大湘东地区乡村旅游与新型城镇化耦合协调的时空演变特征及其影响因素.结果表明:乡村旅游及新型城镇化综合发展水平总体呈上升趋势,2014 年以前为乡村旅游滞后型,2014-2020 年演变为新型城镇化滞后型,2020 年以后回到乡村旅游滞后型;两大系统耦合协调水平总体上呈波动—停滞—平稳的态势,可分为波动性增长阶段(2013-2016 年)、停滞阶段(2017-2018 年)、平稳性增长阶段(2019-2022 年);影响大湘东地区耦合协调度的因素根据作用强度从大到小依次为固定资产投资、社会消费品零售总额、人均地方财政支出、年末常住人口、第三产业产值占GDP比重.
Research on the Spatiotemporal Evolution and Influencing Factors of Rural Tourism and New-type Urbanization Coupling and Coordination in Eastern Hunan
Based on the panel data of 8 counties in eastern Hunan from 2013 to 2022,this paper analyzes the spatiotemporal evolution characteristics and influencing factors of the coupling and coordination of rural tourism and new urbanization in eastern Hunan by using GIS,comprehensive evaluation model,coupling coordination degree model and grey correlation degree model.The results show that the comprehensive development level of rural tourism and new urbanization shows an overall upward trend,which is lagging rural tourism before 2014,evolving into new urbanization lagging type from 2014 to 2020,and returning to rural tourism lagging type after 2020.The coupling and coordination level of the two systems generally shows a fluctuating-stagnant-stable trend,which can be divided into the fluctuation growth stage(2013-2016),the stagnation stage(2017-2018),and the steady growth stage(2019-2022).The factors influencing the coupling coordination degree in eastern Hunan are fixed asset investment,total retail sales of consumer goods,per capita local fiscal expenditure,permanent population at the end of the year,and the proportion of tertiary industry output value in GDP according to the effect intensity.

rural tourismnew-type urbanizationcoupling coordinationeastern Hunan

曹利微、周志宏、禹文婷、王佰程

展开 >

中南林业科技大学 商学院, 湖南 长沙 410004

中南林业科技大学 旅游学院, 湖南 长沙 410004

中南林业科技大学 涉外学院, 湖南 长沙 410211

乡村旅游 新型城镇化 耦合协调度 大湘东地区

2024

旅游研究
昆明学院

旅游研究

CHSSCD
影响因子:0.583
ISSN:1674-5841
年,卷(期):2024.16(3)
  • 33