中国省际入境旅游客源市场结构与互动格局——基于2-模网络分析

doi:10.18306/dlkxjz.2016.08.002

Abstract

Abstract:

The spatial patterns and characteristics of overall inbound tourism markets are an important basis for setting out tourism development strategies in certain regions and across China. The patterns and structures of the inbound tourism market not only depend on the tourist capacities of each region, but also the interactive relationships between the origins and destinations (O-D). This study builds a Chinese inbound tourism market affiliated matrix of provinces to source countries in view of O-D interaction, which is based on a 2-mode network analysis from social network theories, and then analyzes the network by centralities models and singular Value Decomposition (SVD) so as to reveal the functions of each province in the network and the interactive patterns. It concludes that: first, larger tourist capacity of provinces does not create more structural advantages in tourism market interaction network. The overall construction is relatively balanced, and the centralities of provinces are similar to their neighbors'. But otherwise, Korea, Japan, America, and so on, which are the major sources of Chinese inbound tourism market, become the core actors in the network. Second, there are three clusters in the inbound tourism affiliated network, which are the balanced cluster of Asia-Europe to multi-regions in China; the cooperative cluster of Russia to the north-south region of China; the transit cluster of Europe-America to port and inland of China. This is a basis for provinces to select tourist source countries and cooperation partners. These findings may inform inbound tourism marketing program and strategy development, planning itineraries, and designing tourism products for provinces in China.

Key words: inbound tourism source country, market structure, interaction pattern, 2-mode network, inter-provincial, China

Fajian LIU, Dongdong CHEN, Jianhua ZHU, Zang QIAN, Binbin LI. Structure and interaction of China's inter-provincial inbound tourism market: A 2-mode network analysis[J].PROGRESS IN GEOGRAPHY, 2016, 35(8): 932-940.

Figures/Tables 5

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References 33

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	日本	韩国	马来西亚	菲律宾	新加坡	泰国	美国	加拿大	英国	法国	德国	俄罗斯	澳大利亚
北京	1	1	0	0	0	0	1	0	0	0	1	0	0
天津	1	1	0	0	0	0	1	0	0	0	0	0	0
河北	1	1	1	0	1	0	1	0	1	0	1	1	0
…	…	…	…	…	…	…	…	…	…	…	…	…	…
甘肃	1	1	1	0	0	0	1	0	0	1	0	0	1
青海	1	1	0	0	0	0	1	1	1	1	1	0	0
宁夏	1	1	1	0	0	0	1	0	0	0	1	0	0
新疆	0	0	0	0	0	0	1	0	0	0	0	1	0

省份或客源国	程度中心度	接近中心度	中间中心度	省份或客源国	程度中心度	接近中心度	中间中心度
北京	0.308	0.811	0.004	四川	0.538	0.869	0.039
天津	0.231	0.793	0.001	贵州	0.538	0.869	0.021
河北	0.615	0.913	0.046	云南	0.308	0.760	0.011
山西	0.462	0.849	0.014	西藏	0.154	0.702	0.001
内蒙古	0.077	0.500	0.000	陕西	0.231	0.793	0.001
辽宁	0.308	0.811	0.013	甘肃	0.462	0.849	0.031
吉林	0.231	0.793	0.008	青海	0.538	0.869	0.043
黑龙江	0.154	0.745	0.004	宁夏	0.385	0.830	0.008
上海	0.231	0.793	0.001	新疆	0.154	0.777	0.005
江苏	0.231	0.793	0.001	日本	0.710	0.775	0.149
浙江	0.231	0.793	0.001	韩国	0.839	0.873	0.258
安徽	0.385	0.830	0.009	马来西亚	0.355	0.579	0.036
福建	0.308	0.793	0.005	菲律宾	0.000	0.000	0.000
江西	0.385	0.830	0.010	新加坡	0.387	0.591	0.044
山东	0.231	0.793	0.001	泰国	0.097	0.455	0.001
河南	0.462	0.869	0.030	美国	0.806	0.846	0.228
湖北	0.462	0.793	0.027	加拿大	0.065	0.447	0.000
湖南	0.385	0.830	0.010	英国	0.226	0.534	0.012
广东	0.308	0.811	0.004	法国	0.226	0.534	0.011
广西	0.385	0.830	0.020	德国	0.355	0.579	0.036
海南	0.308	0.793	0.012	俄罗斯	0.258	0.524	0.064
重庆	0.462	0.849	0.030	澳大利亚	0.065	0.455	0.000

维度	奇异值	贡献率/%	累计贡献率/%	比率
1	1.432	36.1	36.1	1.289
2	0.900	22.7	58.8	1.677
3	0.575	14.5	73.3	1.061

维度	省份	维中得分			维度	省份	维中得分
维度	省份	1			2	3	1	2	3
1	天津	0.231	-0.154	0.028	1	云南	0.101	-0.058	0.047
	河北	0.148	0.006	0.065	1	青海	0.150	-0.094	0.134
	山西	0.208	-0.097	-0.175	2	新疆	0.155	0.345	0.168
	辽宁	0.223	0.062	-0.074		内蒙古	0.120	0.407	0.131
	上海	0.153	-0.098	0.140		黑龙江	0.250	0.645	0.092
	江苏	0.190	-0.124	0.069		海南	0.130	-0.062	0.016
	浙江	0.107	-0.055	0.062	3	北京	0.148	-0.062	0.168
	安徽	0.259	-0.109	-0.195		福建	0.144	-0.116	0.294
	江西	0.122	-0.040	0.119		湖北	0.143	-0.116	0.301
	河南	0.198	-0.066	-0.012		广东	0.113	-0.073	0.145
	广西	0.106	-0.062	0.016		重庆	0.148	-0.102	0.161
	陕西	0.115	-0.060	0.057		四川	0.139	-0.103	0.195
	甘肃	0.187	-0.115	0.080		贵州	0.129	-0.089	0.189
	湖南	0.254	-0.116	-0.296		西藏	0.096	-0.038	0.174
	山东	0.305	-0.113	-0.385		宁夏	0.131	-0.090	0.136
	吉林	0.335	0.201	-0.412

维度	客源国	维中得分			维度	客源国	维中得分
维度	客源国	1			2	3	1	2	3
1	日本	0.375	-0.238	0.326	3	马来西亚	0.145	-0.091	0.180
	韩国	0.694	-0.145	-0.696		澳大利亚	0.091	-0.055	0.134
	菲律宾	0.037	-0.022	0.030		美国	0.340	-0.231	0.484
	新加坡	0.152	-0.067	0.150		加拿大	0.096	-0.053	0.126
	法国	0.130	-0.073	0.106		英国	0.126	-0.079	0.141
	德国	0.152	-0.080	0.123		泰国	0.069	-0.046	0.083
2	俄罗斯	0.371	0.911	0.178

Structure and interaction of China's inter-provincial inbound tourism market: A 2-mode network analysis

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