摘要
乡村旅游与生态文明存在天然契合的互动关系,为推动社会可持续发展、建设美丽中国有着重要作用。本文以湖南14个市(州)为研究对象,运用熵值法、耦合协调模型等方法,研究了2010—2018年乡村旅游发展与农村生态文明建设的耦合协调的时空分布特征和相对滞后状况。计算结果表明:(1)乡村旅游发展与生态文明建设存在明显共生关系,虽然湖南省乡村旅游与生态文明建设的耦合协调度不高,但大致呈上升趋势,且湖南省14个市(州)均表现为耦合度大于耦合协调度;(2)就空间角度而言,湖南省乡村旅游发展与生态文明建设的耦合协调度呈现由中部向西北、东北部扩散的态势,张家界的耦合协调度最高;(3)从时间角度来看,2010—2018年,湖南省乡村旅游建设滞后程度与生态文明建设滞后程度不断改善,中部地区(衡阳、邵阳、株洲)改善程度最大。
There is natural interaction between rural tourism and ecological civilization,which plays an important role in promoting sustainable social development and building a beautiful China.Taking 14 cities(prefectures)in Hunan Province as the research object,this paper uses entropy method and coupling coordination model to study the spatiotemporal distribution characteristics and relative underdevelopment of coupling coordination between rural tourism development and rural ecological civilization construction from 2010 to 2018.The results show that:(1)There is an obvious symbiotic relationship between rural tourism development and ecological civilization construction.Although the coupling coordination degree between rural tourism and ecological civilization construction in Hunan Province is not high,it is on the rise as a whole,and the coupling degree is greater than the coupling coordination degree in the 14 cities(prefectures)of Hunan Province.(2)From the perspective of space,the coupling coordination degree between rural tourism development and ecological civilization construction in Hunan Province presents a trend of spreading from central to northwest and northeast,and Zhangjiajie has the highest coupling coordination degree.(3)From the perspective of time,the backwardness of rural tourism construction and ecological civilization construction in Hunan Province has been continuously improved from 2010 to 2018,and the central regions(Hengyang,Shaoyang,Zhuzhou)have improved the most.
作者
苟凯歌
苟凯杰
Gou Kaige;Gou Kaijie
出处
《科技广场》
2021年第1期86-96,共11页
Science Mosaic
关键词
乡村旅游
生态文明建设
耦合度
耦合协调度
时空耦合分析
Rural Tourism
Ecological Civilization Construction
The Coupling
Coupling Coordination Degree
Spatiotemporal Coupling Analysis