[1]李 嵘,邓 伟*,彭 立.四川省旅游发展与旅游公共服务匹配关系[J].山地学报,2019,(6):899-909.[doi:10.16089/j.cnki.1008-2786.000480]
　LI Rong,DENG Wei*,PENG Li.A Matching Relationship between Tourism Development and Tourism Public Services in Sichuan Province, China[J].Mountain Research,2019,(6):899-909.[doi:10.16089/j.cnki.1008-2786.000480]
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四川省旅游发展与旅游公共服务匹配关系()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年第6期
页码:
899-909
栏目:
山区发展
出版日期:
2019-11-30

文章信息/Info

Title:
A Matching Relationship between Tourism Development and Tourism Public Services in Sichuan Province, China
文章编号:
1008-2786-(2019)6-899-11
作者:
李 嵘1; 2; 邓 伟1; 2; 3*; 彭 立1; 3
1.中国科学院、水利部成都山地灾害与环境研究所,成都610041; 2.中国科学院大学,北京100049; 3.四川师范大学 地理与资源科学学院,成都 610101
Author(s):
LI Rong1; 2; DENG Wei1; 2; 3*; PENG Li1; 3
1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 2. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; 3.College of Geography and Resources Sciences, Sichuan Normal University, Chengdu 610101, China
关键词:
大数据;  旅游发展;  旅游公共服务;  匹配关系;  四川省
Keywords:
big data;  tourism development;  tourism public service capacity;  matching relationship;  Sichuan
分类号:
K901~B
DOI:
10.16089/j.cnki.1008-2786.000480
摘要:
开展旅游资源丰度、旅游业绩效和表征旅游接待能力的旅游公共服务能力的量化研究,对三者空间分布特征与匹配关系进行分析,可以揭示地区旅游发展的问题,为旅游发展量化研究提供测度方法。本研究以四川省178个典型区县为研究对象,构建旅游资源丰度指数、旅游业绩效指数和旅游公共服务配套指数指标体系,利用大数据弥补传统旅游统计数据的不足,采用核密度法和空间自相关模型对三类指标空间分布及匹配特征进行分析。结果表明:(1)旅游资源丰度、旅游业绩效和旅游公共服务能力在空间分布上呈较强集聚性;(2)旅游业绩效受资源丰度和旅游公共服务的影响,资源丰度指数越大,旅游绩效随公共服务能力增长的速率越快;(3)四川省71.91%的区县属于三者匹配不平衡状态,低丰度-高公共服务-低绩效、中丰度-中公共服务-低绩效是匹配不平衡的主要类型。本研究所构建的指标体系及研究结果,能够科学表征旅游资源丰度、旅游业绩效和旅游公共服务配套三者匹配关系,对准确定位旅游资源开发、优化旅游公共服务和推动旅游产业协调及可持续发展具有重要意义。
Abstract:
To carry out quantitative research on tourism resource abundance, tourism performance and tourism public service capacity(referred to tourism reception capacity), and to analyze the spatial distribution characteristics and matching relationship of the aforesaid three, it can reveal the problems of regional tourism development and provide a measurement method for quantitative research on tourism development. This has important theoretical significance and practical value for optimizing regional tourism public services and promoting sustainable development of regional tourism. In this study, it based on online tourism big data and took 178 typical districts and counties in Sichuan province, China as research objects. A index system consisted of tourism resource abundance, tourism performance and tourism public service capacity was constructed, and the spatial distribution and matching characteristics of the three indexes were analyzed by using spatial measurement method. The results showed that:(1)Tourism resource abundance, tourism performance and tourism public service capacity were highly concentrated in spatial distribution;(2)Tourism performance was affected by resource abundance and tourism public service capacity. The greater the index of resource abundance, the faster the tourism performance increased with the capacity of public services;(3)71.91% of the districts and counties in Sichuan province belonged to an unbalanced state of matching among the three indexes. The pattern of low abundance-high public service-low performance and medium abundance-medium public service-low performance were the main two types of matching imbalance. The index system and research results established in this study can scientifically represent the matching relationship among tourism resource abundance, tourism performance and tourism public service capacity, which is of great significance to accurately positioning tourism resource development, optimizing tourism public service and promoting the coordination and sustainable development of tourism industry.

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备注/Memo

备注/Memo:
收稿日期(Received date): 2019-02-22; 改回日期(Accepted date): 2019-12-02
基金项目(Foundation item):中国科学院科技服务网络计划(STS计划)(Y8R2020021)。[Science and Technology Service Network Initiative of Chinese Academy of Sciences(Y8R2020021)]
作者简介(Biography):李嵘(1982- ),女,内蒙古包头人,博士研究生,主要研究方向:旅游地理。[LI Rong(1982- ), female, born in Baotou, Inner Mongolia, Ph. D, candidate, research on tourism geography] E-mail:lirong_nm@163.com
更新日期/Last Update: 2019-11-30