摘要
选取云南省为研究对象,建立综合评测模型测算各州(市)旅游经济成效综合指数,探究2007-2018年云南省各州(市)旅游经济成效的时间演变特征和空间分布格局。结果表明:(1)2007-2012年,旅游经济成效较好的州(市)主要位于滇中、滇西偏北地区,主要城市有昆明、丽江、大理和迪庆;(2)2013-2015年,除位于滇西边境地区的怒江、临沧,滇东省界地区的曲靖、文山外,其余州(市)旅游经济成效均有所提高,但发展程度不同,且较为分散;(3)2016-2018年,滇东、滇中和滇西旅游经济成效普遍有所提高,但滇西地区的怒江、临沧旅游经济成效变化不大;(4)值得注意的是:2007-2018年昆明旅游经济均是"极高成效";怒江、临沧均是"极低成效";迪庆旅游经济成效地位与各州(市)相比逐渐下降。
Selecting Yunnan Province,which is rich in tourism resources but socio-economically backward,as the research object,a comprehensive evaluation model is established to calculate the comprehensive index of tourism economic effectiveness in each state(city),and the temporal evolution characteristics and spatial distribution of tourism economic effectiveness in each state(city)of Yunnan Province from 2007 to 2018 are explored.The results show that:(1)from 2007 to 2012,the prefectures(cities)with better tourism economy are mainly located in central Yunnan and northwestern and northwestern regions,and the main cities are Kunming,Lijiang,Dali,and Diqing;(2)from 2013 to 2015,in addition to the Nujiang,Lincang in the western Yunnan border area,and Qujing and Wenshan in the eastern Yunnan border area,the tourism economic effectiveness of the remaining states(cities)has improved,but their development levels are different and scattered;(3)from 2016 to 2018,the effectiveness of the tourism economy in East,Central,and West has generally improved,but the effects of the Nujiang and Lincang tourism economies in western Yunnan have not changed much;(4)It is worth noting that:Kunming tourism economy from 2007 to 2018 are in“very high effectiveness”;Nujiang and Lincang are in“very low effectiveness”;Diqing’s tourism economy effectiveness status has gradually decreased compared with various states(cities).
作者
冯勇
骆华松
FENG Yong;LUO Huasong(School of Tourism and Geography Science,Yunnan Normal University,Kunming 650500,China)
出处
《文山学院学报》
2021年第3期50-56,共7页
Journal of Wenshan University
基金
国家自然科学基金项目“孟中印缅经济走廊次区域合作与地缘安全协同机制及路经研究”(41671131)
关键词
旅游经济成效
时空演变
趋势分析
economic effectiveness
spatiotemporal evolution
trend analysis