中国入境旅游流集散优势度与旅游经济效率的时空耦合分析

doi:10.13959/j.issn.1003-2398.2021.05.019

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (24871 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract From the perspective of the coupling of tourist demand and regional economic supply, this paper explores the spatial relationship between distributive superiority and economic efficiency, so as to deepen the theory and practice of regional tourism organization and optimization. Taking China's provincial inbound tourism flow as the research object, this paper first constructed a coupling coordination model of distribution superiority and tourism economic efficiency. Then analyzed the coupling coordination degree level, coupling coordination type and spatiotemporal evolution path of "superiority and efficiency" of each province in 2000, 2005, 2010 and 2016. The results show that:1) The regional differences between the distribution superiority of inbound tourism flow and the tourism economic efficiency have undergone drastic adjustment. 2) In terms of spatial structure, the former changes from U-shaped structure to scatter structure, while the latter tends to form a S-shaped pattern. 3) The overall level of "superiority and efficiency" coupling coordination degree in China has declined, and the coordination level is intermediate coordination. 4) The "superiority and efficiency" coupling coordination type is constantly transforming, showing a differentiated time evolution path. This study deeply explores the spatial coupling relationship between inbound tourism flow system and regional tourism economic system, which lays a foundation for exploring the driving mechanism and optimization mode behind the change of their spatial pattern; the quantitative method of coupling coordination type and time path provides a powerful tool for dissecting the dynamic collaborative relationship. The combined intervention strategy should be taken to improve the impact of environment on public health.

Key words： distributive superiority tourism economic efficiency spatiotemporal coupling inbound tourism

Received: 17 September 2020

PACS:

K901

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Zhao
	LI Tao

Cite this article:

WANG Zhao,LI Tao. SPATIOTEMPORAL COUPLING ANALYSIS OF CHINA'S INBOUND TOURISM DISTRIBUTIVE SUPERIORITY AND TOURISM ECONOMIC EFFICIENCY[J]. HUMAN GEOGRAPHY, 2021, 36(5): 157-166.

URL:

http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2021.05.019 OR http://rwdl.xisu.edu.cn/EN/Y2021/V36/I5/157

[1]	Drgou T, Bulut U. Is tourism an engine for economic recovery? Theory and empirical evidence[J]. Tourism Management, 2018,67:425-434.
[2]	陆林,余凤龙.中国旅游经济差异的空间特征分析[J].经济地理, 2005,25(3):406-410.[Lu Lin, Yu Fenglong. A study on the spatial characteristic of provincial difference of tourism economy[J]. Economic Geography, 2005,25(3):406-410.]
[3]	王开泳,张鹏岩,丁旭生.黄河流域旅游经济的时空分异与R/S分析[J]. 地理科学,2014,34(3):295-301.[Wang Kaiyong, Zhang Pengyan, Ding Xusheng. The spatio-temporal variation of regional tourism economy and R/S analysis in the Huanghe River Basin[J]. Scientia Geographica Sinica, 2014,34(3):295-301.]
[4]	Dogru T, Sirakaya-Turk E, Crouch GI. Remodeling international tourism demand:Old theory and new evidence[J]. Tourism Management, 2017,60:47-55.
[5]	Hyman K. Urban infrastructure and natural resource flows:Evidence from Cape Town[J]. Science of the Total Environment, 2013, 461/462:839-845.
[6]	Gunn C. Vacation Scape:Designing Tourist Regions[M]. New York:Van Nostrand Reinhold, 1988:114-120.
[7]	Papatheodorou A. Why people travel to different places[J]. Annals of Tourism Research, 2001,28(1):164-179.
[8]	Matthews Y, Scarpa R, Marsh D. Cumulative attraction and spatial dependence in a destination choice model for beach recreation[J]. Tourism Management, 2018,66:318-328.
[9]	马耀峰,李天顺.中国入境旅游研究[M].北京:科学出版社,1999:15-20.[Ma Yaofeng, Li Tianshun. Research on Inbound Tourism in China[M]. Beijing:Science Press, 1999:15-20.]
[10]	李磊,陆林,孙小龙,等.高铁沿线旅游流网络结构及其互动关系研究——以合福高铁沿线地区为例[J].人文地理,2020,35(1):132-140.[Li Lei, Lu Lin, Sun Xiaolong, et al. Study on the network structure and interactive relationship of tourism flow along highspeed railway:An example of Hefei-Fuzhou high-speed railway[J]. Human Geography, 2020,35(1):132-140.]
[11]	王绍博,罗小龙,郭建科,等.高铁网络化下东北地区旅游空间结构动态演变分析[J].地理科学,2019,39(4):568-577.[Wang Shaobo, Luo Xiaolong, Guo Jianke, et al. Dynamic evolution of tourism spatial structure under the improvement of the high speed rail network in northeast China[J]. Scientia Geographica Sinica, 2019,39(4):568-577.]
[12]	李创新,马耀峰,张颖,等.1993-2008年区域入境旅游流优势度时空动态演进模式:基于改进熵值法的实证研究[J].地理研究, 2012,31(2):257-268.[Li Chuangxin, Ma Yaofeng, Zhang Ying, et al. Dynamic evolution mode of regional dominance indexes of Chinese inbound tourism flows during 1993 to 2008:An empirical research based on modified entropy technology[J]. Geographical Research, 2012,31(2):257-268.]
[13]	曹芳东,黄震方,余凤龙,等.国家级风景名胜区旅游效率空间格局动态演化及其驱动机制[J].地理研究,2014,33(6):1151-1166.[Cao Fangdong, Huang Zhenfang, Yu fenglong, et al. The spatial evolution of travel efficiency of China's national scenic areas and its driving mechanism[J]. Geographical Research, 2014,33(6):1151-1166.]
[14]	章屹祯,曹卫东,张宇,等.协同视角下长江经济带制造业转移及区域合作研究[J].长江流域资源与环境,2020,29(1):23-34.[Zhang Yizhen, CaoWeidong, Zhang Yu, et al. Research on manufacturing transfer and regional cooperation in the Yangtze River economic belt under the synergetic perspective[J]. Resources and Environment in the Yangtze Basin, 2020,29(1):23-34.]
[15]	Song H Y, Li G. Tourism demand modelling and forecasting:A review of recent research[J]. Tourism Management, 2008,29(2):203-220.
[16]	Li T, Liu J M, Zhu H. The international investment in theme parks:Spatial distribution and decision-making mechanism, an empirical study for China[J]. Tourism Management, 2018,67:342-350.
[17]	薛莹. 旅游流在区域内聚:从自组织到他组织——区域旅游研究的一个理论框架[J].旅游学刊,2006,21(4):47-54.[Xue Ying. On the regional implosion of tourist flows:From self-organization to organization[J]. Tourism Tribune, 2006,21(4):47-54.]
[18]	汪德根,陈田,陆林,等.区域旅游流空间结构的高铁效应及机理——以中国京沪高铁为例[J].地理学报,2015,70(2):214-233.[Wang Degen, Chen Tian, Lu Lin, et al. Mechanism and HSR effect of spatial structure of regional tourist flow:Case study of Beijing-Shanghai HSR in China[J]. Acta Geographica Sinica, 2015,70(2):214-233.]
[19]	王兆峰,徐赛.不同交通方式对旅游效率的影响与评价:以张家界为例[J]. 地理科学,2018,38(7):1148-1155.[Wang Zhaofeng, Xu Sai. Influence and evaluation of different traffic modes on tourism efficiency:Taking Zhangjiajie as an example[J]. Scientia Geographica Sinica, 2018,38(7):1148-1155.]
[20]	Chui Y B, Yeh L T. The threshold effects of the tourism-led growth Hypothesis:Evidence from a cross-sectional model[J]. Journal of Travel Research, 2016,56(5):625-637.
[21]	郭向阳,穆学青,明庆忠,等.旅游地快速交通优势度与旅游流强度的空间耦合分析[J].地理研究,2019,38(5):1119-1135.[Guo Xiangyang, Mu Xueqing, Ming Qingzhong, et al. Spatial coupling between rapid traffic superiority degree and tourist flow intensity in tourist destinations[J]. Geographical Research, 2019,38(5):1119-1135.]
[22]	Vu H Q, Li G, Law R, et al. Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos[J]. Tourism Management, 2015,46:222-232.
[23]	刘军胜,马耀峰.基于发生学与系统论的旅游流与目的地供需耦合成长演化与驱动机制研究:以西安市为例[J]. 地理研究,2017, 36(8):1583-1600.[Liu Junsheng, Ma Yaofeng. The evolution and driving mechanism of the supply and demand coupling about tourism flow and destination system based on the genesis and system theory:Taking Xi'an as an example[J]. Geographical Research, 2017,36(8):1583-1600.]
[24]	李磊,陆林,穆成林,等.高铁网络化时代典型旅游城市旅游流空间结构演化——以黄山市为例[J].经济地理,2019,39(5):207-216, 225.[Li Lei, Lu Lin, Mu Chenglin, et al. Spatial structure evolution of tourist flow in typical tourist cities in the period of high-speed rail networking:A case study of Huangshan city[J]. Economic Geography, 2019,39(5):207-216,225.]
[25]	张新林,赵媛,许昕,等.中国天然气资源流动优势度时空演变特征[J]. 地理研究,2016,35(8):1457-1469.[Zhang Xinlin, Zhao Yuan, Xu Xin, et al. Analysis of temporal and spatial evolution pattern of gas flow superiority in China[J]. Geographical Research, 2016,35(8):1457-1469.]
[26]	汪宇明,高元衡.上海与长江流域各省区间的旅游互动[J].地理学报,2008,63(6):657-668.[Wang Yuming, Gao Yuanheng. The tourism interaction between Shanghai and provinces in the Yangtze River valley[J]. Acta Geographica Sinica, 2008,63(6):657-668.]
[27]	刘法建,张捷,章锦河,等.中国入境旅游流网络升级旅游地角色研[J].地理研究,2010,29(6):1141-1152.[Liu Fajian, Zhang Jie, Zhang Jinhe, et al. Roles and functions of provincial destinations in Chinese inbound tourist flow network[J]. Geographical Research, 2010, 29(6):1141-1152.]
[28]	王钊,李涛,杨山.中国省际入境旅游集散优势度与旅游经济效率的空间关系[J].地理研究,2020,39(4):892-906.[Wang Zhao, Li Tao, Yang Shan. Spatial relationship between inbound tourist distribution superiority and tourism economic efficiency among provinces in China[J]. Geographical Research, 2020,39(4):892-906.]
[29]	金凤君,王成金,李秀伟.中国区域交通优势的甄别方法及应用分析[J].地理学报,2008,63(8):787-798.[Jin Fengjun, Wang Chengjin, Li Xiuwei. Discrimination method and its application analysis of regional transport superiority[J]. Acta Geographica Sinica, 2008,63(8):787-798.]
[30]	徐明德,王森.基于道路和城镇的区位优势度分析[J].世界地理研究,2009,18(4):91-99.[Xu Mingde, Wang Sen. Analysis on the location advantage value based on roads and towns[J]. World Regional Studies, 2009,18(4):91-99.]
[31]	邓洪波,陆林.基于DEA模型的安徽省城市旅游效率研究[J].自然资源学报,2014,29(2):313-323.[Deng Hongbo, Lu lin. The urban tourism efficiencies of cities in Anhui province based on DEA model[J]. Journal of Natural Resources, 2014,29(2):313-323.]
[32]	关伟,许淑婷.辽宁省能源效率与产业结构的空间特征及耦合关系[J].地理学报,2014,69(4):520-530.[Guan Wei, Xu Shuting. Spatial characteristics and coupling relationship between energy efficiency and industrial structure in Liaoning province[J]. Acta Geographica Sinica, 2014,69(4):520-530.]
[33]	汪德根,沙梦雨,朱梅.国家级贫困县旅游资源优势度与脱贫力耦合分析——以433个脱贫县为例[J].人文地理,2020,35(5):111-119,149.[Wang Degen, Sha Mengyu, Zhumei. Coupling analysis of tourism resource superiority and poverty alleviation power in national poverty-stricken counties:A case study of 433 poverty alleviation counties[J]. Human Geography, 2020,35(5):111-119,149.]