In this paper, 13 cities in the Beijing-Tianjin-Hebei Region are selected as research objects, based on Membership Function Coordination Model (MFCM), the tourism synergistic development degree was measured; the social network analysis method (SNA) and Exploratory Spatial Data Analysis (ESDA) tools were employed to study the spatial evolution characteristics of tourism synergistic development; then the influencing factors was studied by the Grey Correlation Analysis (GCA). The result showed: during the inspection period, the tourism synergistic development degree increased significantly, and the regional network has basically formed. The coordinated development of tourism among cities in the Beijing-Tianjin-Hebei region has been significantly improved; The Tourism Synergistic Development Network density increased; Cities such as Qinhuangdao, Zhangjiakou and Chengde were the key areas which promote the synergistic development of the Beijing-Tianjin-Hebei region; From the regional characteristics, the spatial structure of the research area presented the pattern that south was relatively sparse, and north was densely. There is a significant positive spatial correlation between cities within the region, while the spatial aggregation situation showed a increasing trend year by year. Judging from the research conclusions of Gray Correlation Analysis, ecological environment is the primary factor affecting the coordinated development of tourism, innovation ability has an important impact on improving the level of tourism synergistic development.
Shan Chen
,
Chen Yidan
. A Research on Tourism Synergistic Development Network Evolution and Influencing Factors of Beijing-Tianjin-Hebei Region[J]. Finance & Economics of Xinjiang, 2021
, 0(2)
: 17
-28
.
DOI: 10.16716/j.cnki.65-1030/f.2021.02.002
[1] 郑旗.长株潭城市群旅游协同发展研究[J].湖南社会科学,2013(3):148-151.
[2] 孙振杰.京津冀旅游共生体系统协调演化研究[J].商业研究,2020(11):11-17.
[3] 殷平.高速铁路与京津冀旅游协同发展[J].旅游研究,2016(5):2-3.
[4] 陆相林,孙中伟,马世猛.京津冀区域城市旅游共生关系分析与协同发展对策[J].经济地理,2016(4):181-187.
[5] 马国强,汪慧玲.共生理论视角下兰西城市群旅游产业的协同发展[J].城市问题,2018(4):65-71.
[6] 颜姜慧.城市群协同发展的博弈论分析[J].工业技术经济,2017(4):26-32.
[7] Ivana Fosic,Ham M,Zeljko Turkalj.The Synergy of Sustainable Tourism and Aagriculture as a Factor of Regional Development Management in Croatia[J].Ekonomski Vjesnik Casopis Ekonomskog Fakulteta U Osijeku,2013(1):71-82.
[8] 崔树强,朱佩娟,吴小双,曾伟平.长江中游城市群旅游协同演化及影响因素研究[J].中南林业科技大学学报 (社会科学版),2018(1):65-74.
[9] 李健,范晨光,苑清敏.基于距离协同模型的京津冀协同发展水平测度[J].科技管理研究,2017(18):45-50.
[10] 翁钢民,李慧盈.京津冀旅游产业协同发展水平测度与整合路径研究[J].资源开发与市场,2017(3):369-372.
[11] 王志民.江苏省区域旅游产业与科技创新协同度研究[J].世界地理研究,2016(6):158-165.
[12] 潘越,翁钢民,盛开,李凌雁.长江经济带“旅游+”复合系统协同发展的时空演化特征与空间差异研究[J].长江流域资源与环境,2020(9):1897-1909.
[13] 任云兰.整合历史文化遗产资源促进京津冀旅游产业协同发展[J].城市发展研究,2016(12):19-22.
[14] 庞前聪.大湾区城市群空间协同策略研究——基于珠海与粤港澳大湾区互动的视角[J].城市发展研究,2019 (7):50-58.
[15] 马斌斌,鲁小波,郭迪,丁玉娟.“丝绸之路经济带”背景下西北五省旅游协同发展战略研究[J].新疆大学学报 (哲学·人文社会科学版),2015(5):16-21.
[16] 李燕,骆秉全.京津冀体育旅游全产业链协同发展的路径及措施[J].首都体育学院学报,2019(4):305-310.
[17] 刘英基.高技术产业技术创新、制度创新与产业高端化协同发展研究——基于复合系统协同度模型的实证分析[J].科技进步与对策,2015(2):66-72.
[18] 崔松虎,刘莎莎.京津冀高技术产业协同创新效应研究[J].统计与决策,2016(16):135-138.
[19] 黄新焕,王文平,蔡彬清.我国能源—经济—环境系统协调发展评价[J].统计与决策,2015(9):68-70.
[20] 李海东,王帅,刘阳.基于灰色关联理论和距离协同模型的区域协同发展评价方法及实证[J].系统工程理论与实践,2014(7):1749-1755.
[21] 钱力.农村居民收入区域差异适度性分析——基于隶属函数协调度模型测度方法[J].经济问题探索,2014 (8):129-135.
[22] 王英.基于灰色关联理论的FDI和中国区域经济发展差距研究[J].系统工程理论与实践,2010(3):426-430.
[23] 王佩玉,魏冶,高鑫 .“一带一路”商品贸易网络的社团结构及其经济收敛效应研究[J].世界地理研究,2021 (1):25-36.
