黄河流域城市间旅游经济联系格局及影响因素研究

doi:10.12118/j.issn.1000-6060.2022.570

摘要/Abstract

摘要：

基于2010、2015、2019年时间截面数据，通过修正引力模型、社会网络方法分析黄河流域89个城市间的旅游经济联系及时空演化特征，并结合地理探测器分析黄河流域旅游经济联系变化的影响因子。结果表明：（1）黄河流域旅游经济网络东西向的多核心网络结构逐渐形成，城市间区域分化、省际阻隔效应特征显著。（2）旅游经济联系网络经历两极分化、阻隔较大的初级阶段，有机联结、互动增强的过渡阶段，趋于均衡、团块发展的巩固阶段。（3）以西安市、郑州市为代表的少数节点核心城市在旅游经济联系网络中发挥的中介作用较强。（4）产业结构水平、旅游资源禀赋和环境质量是旅游经济联系的主要影响因子，各因子间存在的交互作用能增强对旅游经济联系的解释力。研究结果可为黄河流域旅游经济高质量发展提供有效优化建议。

关键词: 旅游经济联系, 社会网络分析, 地理探测器, 影响因素, 黄河流域

Abstract:

Based on the time section data of 2010, 2015 and 2019, the modified gravitational model and social network method were used to analyze the temporal and spatial evolution characteristics of tourism economic links among 89 cities in the Yellow River Basin, and the influencing factors of tourism economic connection changes in the Yellow River Basin were analyzed by combining geographical detectors. The results show that: (1) The east-west multi-core network structure of the tourism economic network in the Yellow River Basin gradually formed, and the characteristics of regional differentiation and inter-provincial barrier effect between cities are significant. (2) The tourism economic linkage network has gone through the initial stage of polarization and large barriers, the transitional stage of organic connection and enhanced interaction, and the consolidation stage of balanced and cluster development. (3) A small number of core cities represented by Xi’an City and Zhengzhou City play a strong intermediary role in the tourism economic connection network. (4) The level of industrial structure, tourism resource endowment and environmental quality are the main influencing factors of tourism economic linkages, and the interaction between various factors can enhance the explanatory power of tourism economic linkages. The research results can provide effective optimization suggestions for the high-quality development of tourism economy in the Yellow River Basin.

Key words: tourism economic linkage, social network analysis, geographic detector, influencing factors, Yellow River Basin

张昊, 韩增林, 乔国荣, 王辉, 王宏业, 段冶. 黄河流域城市间旅游经济联系格局及影响因素研究[J]. 干旱区地理, 2023, 46(8): 1344-1354.

ZHANG Hao, HAN Zenglin, QIAO Guorong, WANG Hui, WANG Hongye, DUAN Ye. Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin[J]. Arid Land Geography, 2023, 46(8): 1344-1354.

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参考文献 35

[1]	汪芳, 安黎哲, 党安荣, 等. 黄河流域人地耦合与可持续人居环境[J]. 地理研究, 2020, 39(8): 1707-1724. doi: 10.11821/dlyj020200217
	[Wang Fang, An Lizhe, Dang Anrong, et al. Human-land coupling and sustainable human settlements in the Yellow River Basin[J]. Geographical Research, 2020, 39(8): 1707-1724.] doi: 10.11821/dlyj020200217
[2]	中华人民共和国中央人民政府. 中共中央国务院印发《黄河流域生态保护和高质量发展纲要》[EB/OL]. [2021-10-08]. http://www.gov.cn/zhengce/2021-10/08/content_5641438.htm.
	[The Central People’s Government of the People’s Republic of China. The Central Committee of the Communist Party of China and the State Council issued the “Outline for Ecological Protection and High-quality Development of the Yellow River Basin”[EB/OL]. [2021-10-08]. http://www.gov.cn/zhengce/2021-10/08/content_5641438.htm.]
[3]	董亚娟, 王雨薇, 蒋怡斌, 等. 中国主要城市入境旅游经济空间结构演化及发展模式[J]. 河南科学, 2021, 39(1): 122-131.
	[Dong Yajuan, Wang Yuwei, Jiang Yibin, et al. The evolution of spatial structure and development patterns of inbound tourism economy in major cities of China[J]. Henan Science, 2021, 39(1): 122-131.]
[4]	卞显红. 城市旅游空间结构研究[J]. 地理与地理信息科学, 2003, 19(1): 105-108.
	[Bian Xianhong. Research on urban tourism spatial structure[J]. Geography and Geo-information Science, 2003, 19(1): 105-108.]
[5]	Erkus-Oeztuerk H, Eraydm A. Environmental governance for sustainable tourism development: Collaborative networks and organisation building in the Antalya tourism region[J]. Tourism Management, 2010, 31(1): 113-124. doi: 10.1016/j.tourman.2009.01.002
[6]	Jesus C, Franco M. Cooperation networks in tourism: A study of hotels and rural tourism establishments in an inland region of Portugal[J]. Journal of Hospitality and Tourism Management, 2016, 29: 165-175. doi: 10.1016/j.jhtm.2016.07.005
[7]	Wang Y C, Qu H, Yang J. Love spillover from a hotel sub-brand to its corporate brand: An associative network theory perspective[J]. Journal of Hospitality and Tourism Management, 2020, 44: 263-271. doi: 10.1016/j.jhtm.2020.07.006
[8]	Kirilenko A P, Stepchenkova S O, Hernández J M. Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews[J]. Tourism Management, 2019, 72: 400-410. doi: 10.1016/j.tourman.2019.01.001
[9]	Asero V, Gozzo S, Tomaselli V. Building tourism networks through tourist mobility[J]. Journal of Travel Research, 2016, 55(6): 751-763. doi: 10.1177/0047287515569777
[10]	Asli D A, Tasci, Jalayer K, et al. Network analysis of the sensory capital of a destination brand[J]. Journal of Destination Marketing & Management, 2018, 9: 112-125.
[11]	Yin P, Lin Z, Prideaux B. The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin[J]. Journal of Transport Geography, 2019, 80: 102495, doi: 10.1016/j.jtrangeo.2019.102495. doi: 10.1016/j.jtrangeo.2019.102495
[12]	郭建科, 王绍博, 李博, 等. 哈大高铁对东北城市旅游经济联系的空间影响[J]. 地理科学, 2016, 36(4): 521-529. doi: 10.13249/j.cnki.sgs.2016.04.005
	[Guo Jianke, Wang Shaobo, Li Bo, et al. The spatial effect of Harbin-Dalian high-speed rail to the northeast city tourism economic link[J]. Geographical Sciences, 2016, 36(4): 521-529.] doi: 10.13249/j.cnki.sgs.2016.04.005
[13]	王俊, 徐金海, 夏杰长. 中国区域旅游经济空间关联结构及其效应研究——基于社会网络分析[J]. 旅游学刊, 2017, 32(7): 15-26.
	[Wang Jun, Xu Jinhai, Xia Jiechang. Study on the spatial correlation structure of China’s tourism economic and its effect: Based on social network analysis[J]. Tourism Tribune, 2017, 32(7): 15-26.]
[14]	张凯, 杨效忠, 张文静. 跨界旅游区旅游经济联系度及其网络特征——以环太湖地区为例[J]. 人文地理, 2013, 28(6): 126-132.
	[Zhang Kai, Yang Xiaozhong, Zhang Wenjing. Tourism economic affiliation degree network characteristics and its impacts factors of cross-border tourism region: A case study of Taihu-Lake area[J]. Human Geography, 2013, 28(6): 126-132.]
[15]	王俊, 夏杰长. 中国省域旅游经济空间网络结构及其影响因素研究——基于QAP方法的考察[J]. 旅游学刊, 2018, 33(9): 13-25.
	[Wang Jun, Xia Jiechang. Study on the spatial network structure of the tourism economy in China and its influencing factors: Investigation of QAP method[J]. Tourism Tribune, 2018, 33(9): 13-25.]
[16]	瓦哈甫·哈力克, 辛龙, 李振江, 等. 旅游资源诅咒时空分异及驱动力研究——基于省际面板数据的GWR模型分析[J]. 生态经济, 2019, 35(2): 160-167.
	[Halik Wahav, Xin Long, Li Zhenjiang, et al. Research on the spatial-temporal differentiation and driving force of tourism resource curse: Analysis of GWR model based on provincial panel data[J]. Ecological Economy, 2019, 35(2): 160-167.]
[17]	郭向阳, 穆学青, 明庆忠. 边疆省域旅游效率空间分异及驱动因素——以云南省为例[J]. 世界地理研究, 2020, 29(2): 416-427. doi: 10.3969/j.issn.1004-9479.2020.02.2018454
	[Guo Xiangyang, Mu Xueqing, Ming Qingzhong. Spatial differences and driving factors of tourism efficiency in border regions: A case of Yunnan Province[J]. World Geographical Research, 2020, 29(2): 416-427.] doi: 10.3969/j.issn.1004-9479.2020.02.2018454
[18]	刘海洋, 王录仓, 李骞国, 等. 基于腾讯人口迁徙大数据的黄河流域城市联系网络格局[J]. 经济地理, 2020, 40(4): 28-37.
	[Liu Haiyang, Wang Lucang, Li Qianguo, et al. Spatial and temporal patterns of city connection networks in the Yellow River Basin based on Tencent’s big data of population migration[J]. Economic Geography, 2020, 40(4): 28-37.]
[19]	李冬花, 张晓瑶, 陆林, 等. 黄河流域高级别旅游景区空间分布特征及影响因素[J]. 经济地理, 2020, 40(5): 70-80.
	[Li Donghua, Zhang Xiaoyao, Lu Lin, et al. Spatial distribution characteristics and influencing factors of high-level tourist attractions in the Yellow River Basin[J]. Economic Geography, 2020, 40(5): 70-80.]
[20]	王胜鹏, 乔花芳, 冯娟, 等. 黄河流域旅游生态效率时空演化及其与旅游经济互动响应[J]. 经济地理, 2020, 40(5): 81-89.
	[Wang Shengpeng, Qiao Huafang, Feng Juan, et al. The spatio-temporal evolution of tourism eco-efficiency in the Yellow River Basin and its interactive response with tourism economy development level[J]. Economic Geography, 2020, 40(5): 81-89.]
[21]	薛明月, 王成新, 赵金丽, 等. 黄河流域旅游经济空间分异格局及影响因素[J]. 经济地理, 2020, 40(4): 19-27.
	[Xue Mingyue, Wang Chengxin, Zhao Jinli, et al. Spatial differentiation pattern and influencing factors of tourism economy in the Yellow River Basin[J]. Economic Geography, 2020, 40(4): 19-27.]
[22]	肖黎明, 王彦君, 郭瑞雅. 乡愁视域下乡村旅游高质量发展的空间差异及演变——基于黄河流域的检验[J]. 旅游学刊, 2021, 36(11): 13-25.
	[Xiao Liming, Wang Yanjun, Guo Ruiya. Regional differences and changes in high-quality development of rural tourism from the perspective of nostalgia: A study based on the Yellow River Basin[J]. Journal of Tourism, 2021, 36(11): 13-25.]
[23]	周晓艳, 郝慧迪, 叶信岳, 等. 黄河流域区域经济差异的时空动态分析[J]. 人文地理, 2016, 31(5): 119-125.
	[Zhou Xiaoyan, Hao Huidi, Ye Xinyue, et al. A spatial-temporal analysis of regional economic inequality in Yellow River Valley[J]. Human Geography, 2016, 31(5): 119-125.]
[24]	曾刚, 胡森林. 技术创新对黄河流域城市绿色发展的影响研究[J]. 地理科学, 2021, 41(8): 1314-1323. doi: 10.13249/j.cnki.sgs.2021.08.002
	[Zeng Gang, Hu Senlin. The impact of technological innovation on the green development of cities in the Yellow River Basin[J]. Geographical Sciences, 2021, 41(8): 1314-1323.] doi: 10.13249/j.cnki.sgs.2021.08.002
[25]	赵宏波, 岳丽, 刘雅馨, 等. 高质量发展目标下黄河流域城市居民生活质量的时空格局及障碍因子[J]. 地理科学, 2021, 41(8): 1303-1313. doi: 10.13249/j.cnki.sgs.2021.08.001
	[Zhao Hongbo, Yue Li, Liu Yaxin, et al. Spatial-temporal pattern and obstacle factors of urban residents’ quality of life in the Yellow River Basin under the background of high-quality development[J]. Geographical Sciences, 2021, 41(8): 1303-1313.] doi: 10.13249/j.cnki.sgs.2021.08.001
[26]	Hao Z, Ye D, Hui W, et al. An empirical analysis of tourism eco-efficiency in ecological protection priority areas based on the DPSIR-SBM model: A case study of the Yellow River Basin, China[J]. Ecological Informatics, 2022, 70: 101720, doi: 10.1016/j.ecoinf.2022.101720. doi: 10.1016/j.ecoinf.2022.101720
[27]	吴志才, 张凌媛, 黄诗卉. 粤港澳大湾区旅游经济联系的空间结构及协同合作模式[J]. 地理研究, 2020, 39(6): 1370-1385. doi: 10.11821/dlyj020190654
	[Wu Zhicai, Zhang Lingyuan, Huang Shihui. Spatial structure and characteristics of tourism economic connections in Guangdong-Hong Kong-Macao Greater Bay Area[J]. Geographical Research, 2020, 39(6): 1370-1385.] doi: 10.11821/dlyj020190654
[28]	于洪雁, 李秋雨, 梅林, 等. 社会网络视角下黑龙江省城市旅游经济联系的空间结构和空间发展模式研究[J]. 地理科学, 2015, 35(11): 1429-1436. doi: 10.13249/j.cnki.sgs.2015.011.1429
	[Yu Hongyan, Li Qiuyu, Mei Lin, et al. Research on the spatial structure and spatial development patterns of urban tourism economic connections of Heilongjiang Province-focus on the perspective of social network[J]. Geographical Sciences, 2015, 35(11): 1429-1436.] doi: 10.13249/j.cnki.sgs.2015.011.1429
[29]	吴姗姗, 王录仓, 刘海洋. 黄河流域旅游流网络结构特征研究[J]. 经济地理, 2020, 40(10): 202-212.
	[Wu Shanshan, Wang Lucang, Liu Haiyang. Study on the structural characteristics of tourism flow network in the Yellow River Basin[J]. Economic Geography, 2020, 40(10): 202-212.]
[30]	劳昕, 沈体雁, 杨洋, 等. 长江中游城市群经济联系测度研究——基于引力模型的社会网络分析[J]. 城市发展研究, 2016, 23(7): 91-98.
	[Lao Xin, Shen Tiyan, Yang Yang, et al. A study on the economic network of the urban agglomeration in the middle reaches of the Yangtze River: Based on social network analysis method with gravity model[J]. Urban Development Research, 2016, 23(7): 91-98.]
[31]	蔡佳, 白永平, 陈志杰, 等. 甘肃省全域旅游视角下旅游空间结构优化研究[J]. 干旱区地理, 2021, 44(2): 544-551.
	[Cai Jia, Bai Yongping, Chen Zhijie, et al. Research on tourism spatial structure optimization from the perspective of all-region tourism in Gansu Province[J]. Arid Land Geography, 2021, 44(2): 544-551.]
[32]	刘大均, 陈君子, 朱爱琴. “8·8”九寨沟地震冲击下区域旅游经济联系的格局及影响因素[J]. 经济地理, 2021, 41(3): 223-230.
	[Liu Dajun, Chen Junzi, Zhu Aiqin. Spatial pattern and influential eactors of regional tourism economic relations under the impact of the Jiuzhaigou earthquake on August 8^th, 2017[J]. Economic Geography, 2021, 41(3): 223-230.]
[33]	谷昊鑫, 秦伟山, 赵明明, 等. 黄河流域旅游经济与生态环境协调发展时空演变及影响因素探究[J]. 干旱区地理, 2022, 45(2): 628-638.
	[Gu Haoxin, Qin Weishan, Zhao Mingming, et al. Spatial and temporal evolution and influencing factors of coordinated development of tourism economy and ecological environment in the Yellow River Basin[J]. Arid Land Geography, 2022, 45(2): 628-638.]
[34]	王坤, 黄震方, 曹芳东, 等. 泛长江三角洲城市旅游绩效空间格局演变及其影响因素[J]. 自然资源学报, 2016, 31(7): 1149-1163. doi: 10.11849/zrzyxb.20150767
	[Wang Kun, Huang Zhenfang, Cao Fangdong, et al. Spatial pattern evolution of urban tourism performance and its influence factors in Pan-Yangtze River Delta[J]. Journal of Natural Resources, 2016, 31(7): 1149-1163.] doi: 10.11849/zrzyxb.20150767
[35]	陆大道, 孙东琪. 黄河流域的综合治理与可持续发展[J]. 地理学报, 2019, 74(12): 2431-2436. doi: 10.11821/dlxb201912001
	[Lu Dadao, Sun Dongqi. Development and management tasks of the Yellow River Basin: A preliminary understanding and suggestion[J]. Acta Geographica Sinica, 2019, 74(12): 2431-2436.] doi: 10.11821/dlxb201912001

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年份	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀
2010	0.275^***	0.482^***	0.244^**	0.364^***	0.296^***	0.451^***	0.296^***	0.248^***	0.257^**	0.306^***
2015	0.265^***	0.334^**	0.135^*	0.315^***	0.155^*	0.537^***	0.264^*	0.102^*	0.161^**	0.284^***
2019	0.206^***	0.285^***	0.227^**	0.199^**	0.146^*	0.341^*	0.201^**	0.210^*	0.179^*	0.346^***

2010年		2015年		2019年
主导交互因子	交互类型	主导交互因子	交互类型	主导交互因子	交互类型
X₃∩X₇	非线性增强型	X₁₀∩X₄	非线性增强型	X₆∩X₇	非线性增强型
X₂∩X₁₀	双因子增强型	X₁₀∩X₆	非线性增强型	X₂∩X₈	非线性增强型
X₂∩X₉	双因子增强型	X₁₀∩X₃	双因子增强型	X₂∩X₆	非线性增强型
X₂∩X₇	双因子增强型	X₂∩X₄	双因子增强型	X₂∩X₁₀	双因子增强型
X₆∩X₁₀	双因子增强型	X₄∩X₆	双因子增强型	X₁₀∩X₆	双因子增强型