The Characteristics and Dynamical Factors of Chinese Inbound Tourist Flow Network

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  • 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China;
    2. Anhui Broadcasting Movie and Television College, Hefei 230022, China

Received date: 2009-09-11

  Revised date: 2010-05-13

  Online published: 2010-08-20

Supported by

National Natural Science Foundation of China,No.40371030; No.40801054

Abstract

Tourist flows could be taken as inherent relations among destinations. It is necessary and feasible to analyze the inbound tourist flows from the view of network, and that would be more theoretical and practical significance to tourist flow study. This paper not only defines the notion of tourist flows network in theory, discusses its significance, but constructs an assessment model of tourist flows network, and uses characterization, density, E-I indictor, centralization, cohesive subgroup and core-periphery, which are from the Social Network Analysis, into the analysis of Chinese inbound tourist flow network as well. Then this paper tries to find out the dynamical factors on tourist flows among provinces by using QAP regression and correlation, which are stemmed from SNA too and better than OLS analysis to some extent in matrix analysis. It is concluded that the inbound tourist flow scale presents a decreasing trend from the Eastern, the Western, the Northeast, to the Midland of China. The whole network is loosely organized and unbalanced. Some eastern provinces not only possess higher centralization and structural dominance, but also closely connect with each other. Furthermore some western provinces have become more important in network, and the regional imbalance of inbound tourist flow network has been narrowing. The natural tourism resource, provincial economic position, foreign relation and spatial distance are major constraints to inbound tourist flows, and the numbers of international travel agencies and flights which are representatives of high quality service and top grade, whether they are in the same region or not, contribute to the tourist flow. By doing all of these, this paper aims at offering a new method for inbound tourist flow research and assisting the formulation of tourism policies at national and provincial levels.

Cite this article

LIU Fajian, ZHANG Jie, CHEN Dongdong . The Characteristics and Dynamical Factors of Chinese Inbound Tourist Flow Network[J]. Acta Geographica Sinica, 2010 , 65(8) : 1013 -1024 . DOI: 10.11821/xb201008012

References


[1] Douglas G Pearce. Towards a geography of tourism. Annals of Tourism Research, 1979, 6(3): 245-272.

[2] Teresa Gar?n-Munoz, Luis F Montero-Martin. Tourism in the Balearic Islands: A dynamic model for international demand using panel data. Tourism Management, 2007, 28: 1224-1235.

[3] Song Haiyan, Witt Stephen F. Forecasting international tourist flows to Macau. Tourism Management, 2006, 27: 214-224.

[4] Lee Choong-Ki, Song Hak-Jun, Mjelde James W. The forecasting of international expo tourism using quantitative and qualitative techniques. Tourism Management, 2008, 29: 1-15.

[5] Kima Jae H, Imad A Moosa. Forecasting international tourist flows to Australia: A comparison between the direct and indirect methods. Tourism Management, 2005, 26: 69-78.

[6] Coshall John. Spectral analysis of international tourism flows. Annals of Tourism Research, 2000, 27 (3): 577-589.

[7] Zhang Jie, Jensen Camilla. Comparative advantage explaining tourism flows. Annals of Tourism Research, 2007, 34(1): 223-243.

[8] Jameel Khadarooa, Boopen Seetanah. The role of transport infrastructure in international tourism development: A gravity model approach. Tourism Management, 2007, 28: 1-10.

[9] Teresa Garin-Munoz. Inbound international tourism to Canary Islands: A dynamic panel data model. Tourism Management, 2006, 27: 281-291.

[10] Morley Clive L. A dynamic international demand model. Annals of Tourism Research, 1998, 25(1): 71-84.

[11] Prideaux Bruce. Factors affecting bilateral tourism flows. Annals of Tourism Research, 2005, 32(3): 780-801.

[12] Jang SooCheong (Shawn), Chen Ming-Hsiang. Financial portfolio approach to optimal tourist market mixes. Tourism Management, 2008, 29: 761-770.

[13] Myriam Jansen-Verbek, Ruud Spee. A regional analysis of tourist flows within Europe. Tourism Management, 1995, 16 (1): 73-82.

[14] Hwang Yeong-Hyeon, Gretzel Ulrike, Fesenmaier Daniel R. Multicity trip patterns tourists to the United States. Annals of Tourism Research, 2006, 33(4): 1057-1078.

[15] Rein Ahas, Anto Aasa et al. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study. Tourism Management, 2007, (5): 1-18.

[16] Zhu Hong, Wu Qitao. Study on tourism size of provinces and primacy cities in China. Acta Geographica Sinica, 2005, 60(6): 919-927.
[朱竑, 吴旗韬. 中国省际及主要旅游城市旅游规模. 地理学报, 2005, 60(6): 919-927.]

[17] Lu Lin, Yu Fenglong. A study on the spatial characteristics of provincial difference of tourism economy. Economic Geography, 2005, 25(3): 406-410.
[陆林, 余凤龙. 中国旅游经济差异的空间特征分析. 经济地理, 2005, 25(3): 406-410.]

[18] Chen Xiuqiong, Huang Fucai. Temporal change of regional disparity in Chinese inbound tourism. Acta Geographica Sinica, 2006, 61(12): 1271-1280.
[陈秀琼, 黄福才. 中国入境旅游的区域差异特征分析. 地理学报, 2006, 61(12): 1271-1280.]

[19] Ma Yaofeng, Li Yongjun. Spatial analysis of the inbound tourism flow to and in China. Journal of Shaanxi Normal University: Natural Science Edition, 2000, 28(3):121-124.
[马耀峰, 李永军. 中国入境旅游流的空间分析. 陕西师范大 学学报: 自然科学版, 2000, 28(3): 121-124.]

[20] Ma Yaofeng, Li Yoongjun. Research on spatial region-division of inbound tourist flow in China. Human Geography, 2001, 16(6): 44-46.
[马耀峰, 李永军. 中国入境后旅游流的空间分布研究. 人文地理, 2001, 16(6): 44-46.]

[21] Ma Yaofeng. Study on Chinese Inbound Tourism. Beijing: Science Press, 1999.
[马耀峰. 中国入境旅游研究. 北京: 科 学出版社, 1999.]

[22] Zhang Yan, Zhang Jinhe, Wang Hao. Analysis on the preference scale and competition state of inbound foreign tourist market of Huangshan City. Human Geography, 2007, 23(2): 43-47.
[张艳, 章锦河, 王浩. 黄山市入境国外旅游市场亲 景度与竞争态分析. 人文地理, 2007, 23(2): 43-47.]

[23] Zhou Caiping. An analysis of tourist structure in the inbound tourism market based on SSM method: Taking Zhejiang Province as an example. Tourism Tribute, 2008, 23(1): 46-51.
[周彩屏. 基于SSM 方法的入境旅游市场客源结构分 析: 以浙江省为例. 旅游学刊, 2008, 23(1): 46-51.]

[24] Cao Xinxiang, Miao Changhong. On the structural evolution of inbound tourism generating market in Henan Province since the 1990s. Tourism Tribune, 2009, 24(2): 11-17.
[曹新向, 苗长虹. 20 世纪90 年代以来河南省入境旅游客源市 场结构演化: 基于SSM方法的分析. 旅游学刊, 2009, 24(2): 11-17.]

[25] Wang Degen. Comparison of provincial competitiveness in Chinese inbound tourism. Economic Management, 2004, (21): 65-70.
[汪德根. 我国各省份国际旅游竞争力比较研究. 经济管理, 2004, (21): 65-70.]

[26] Zhao Dongxi. Study on the influencing factors of the development of China's provincial inbound tourism. Tourism Tribute, 2008, 23(1): 41-45.
[赵东喜. 中国省际入境旅游发展影响因素研究. 旅游学刊, 2008, 23(1): 41-45.]

[27] Weng Jin. Scale economy, product differentiation and the evolution for spatial structure of China's inbound tourism. Tourism Tribune, 2008, 23(6): 30-35.
[翁瑾. 规模经济、产品差异化与中国入境旅游空间结构的变动. 旅游学刊, 2008, 23(6): 30-35.]

[28] Scott John. Social Network Analysis: A Handbook. 2nd ed. Sage Publications, Inc., 2000: 2-3.

[29] Shih Hsin-Yu. Network characteristics of drive tourism destinations: An application of network analysis in tourism. Tourism Management, 2006, 27: 1029-1039.

[30] Yang Xingzhu, Gu Chaolin, Wang Qun. Urban tourism flow network structure construction in Nanjing. Acta Geographica Sinica, 2007, 62(6): 609-620.
[杨兴柱, 顾朝林, 王群. 南京市旅游流网络结构构建. 地理学报, 2007, 62 (6): 609-620.]

[31] Wang Yuming, Gao Yuanheng. The tourism interaction between Shanghai and provinces in the Yangtze River Valley. Acta Geographica Sinica, 2008, 63(6): 657-668.
[汪宇明, 高元衡. 上海与长江流域各省区间的旅游互动. 地理学报, 2008, 63(6): 657-668.]

[32] Chen Xiuqiong, Huang Fucai. Research on tourism spatial structure and its optimization: A network analysis. Geography and Geo-Information Science, 2006, 22(5): 75-80.
[陈秀琼, 黄福才. 基于社会网络理论的旅游系统空间结 构优化研究. 地理与地理信息科学, 2006, 22(5): 75-80.]

[33] Zhang Jinhe, Zhang Jie, Li Na et al. An analysis on spatial field effect of domestic tourist flows in China. Geographical Research, 2005, 24(2): 293-303.
[章锦河, 张捷, 李娜等. 中国国内旅游流空间场效应分析. 地理研究, 2005, 24(2): 293-303.]

[34] Lew Alan A, McKercher Bob. Trip destinations, gateways and itineraries: The example of Hong Kong. Tourism Management, 2002, (23): 609-621.

[35] Luo Jiade. Social Network Analysis. Beijing: Social Science Academic Press (China), 2005: 171.
[罗家德. 社会网络分 析讲义. 北京: 社会科学文献出版社, 2005: 171.]

[36] Liu Jun. An Introduction to Social Network Analysis. Beijing: Social Science Academic Press (China), 2004: 1-10; 183-187.
[刘军. 社会网络分析导论.北京:社会科学文献出版社, 2004: 1-10; 183-187.]

[37] Liu Fajian, Zhang Jinhe, Chen Dongdong. An spatial analysis of tourist itinerary intourist areas south of Anhui Province. Tourism Tribune, 2007, 22(12): 66-70.
[刘法建, 章锦河, 陈冬冬. 皖南旅游区观光旅游线路的空间分析. 旅 游学刊, 2007, 22(12): 66-70.]

[38] Shi Chunyun, Zhang Jie, You Haimei et al. Core-periphery spatial structure and its evolution of tourism region in Sichuan Province. Acta Geographica Sinica, 2007, 62(6): 631-639.
[史春云, 张捷, 尤海梅等. 四川省旅游区域核心— 边缘空间格局演变. 地理学报, 2007, 62(6): 631-639.]

[39] Xiao Qunying, Liu Huijun. Retesting dynamical factor theories on inter-provincial labor migration with QAP algorithm. Chinese Journal of Population Science, 2007, (4): 26-33.
[肖群鹰. 刘慧君. 基于以QAP算法的省际劳动力 迁移动因理论再检验. 中国人口科学, 2007, (4): 26-33.]

[40] Liu Jun. QAP: A unique method of measuring "relationships" in relational data. Society, 2007, 27(4): 164-174.
[刘军. QAP: 测量“关系”之间关系的一种方法. 社会, 2007, 27(4): 164-174.]

[41] Krackhardt D. Predicting with networks: Nonparametric multiple regression analysis of Dyadie Data. Social Networks, 1988, 10: 359-381.

[42] Liu fajian, Zhang Jie, Zhang Jinhe et al. Roles and functions of provincial destinations in Chinese inbound tourist flow network. Geographical Research, 2010,29(6):1141-1152.
[刘法建,张捷,章锦河等.中国入境旅游流网络省级旅游地角 色研究,地理研究,2010,29(6):1141-1152.]

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