Spatial Dislocation Analysis of Tourism Economy and Its Influencing Factors in Jiangsu Province


  • Yuxiang Zheng School of Economics & Management, Shanghai Maritime University, Shanghai, 201306, China
  • Yue Zhu School of Economics & Management, Shanghai Maritime University, Shanghai, 201306, China



Taking 13 prefecture-level cities in Jiangsu Province as the research object, based on the theory of spatial dislocation, the gravity model and two-dimensional composite matrix method are used to analyze the spatial dislocation between tourism resources, permanent population and other factors in Jiangsu Province and tourism revenue. The results show that the population center, the center of tourism resources, the center of tourist numbers, the center of economic development, and the center of tourism revenue of Jiangsu Province are all biased toward the southern part of Jiangsu Province. From the analysis of four sets of two-dimensional composite matrixes, 13 prefecture-level cities have synchronized coordination and also have positive and negative dislocation types. Southern Jiangsu has the best synchronization and coordination, and northern Jiangsu has a strong negative dislocation trend; the combination of tourist numbers and tourism revenue is the strongest, but the dislocation is weak; population and tourism revenue have a strong positive dislocation trend; there is a strong negative dislocation trend between economic development and tourism revenue; the matrix combination of Nanjing, Wuxi and Suzhou has good synchronization; the city of Xuzhou in northern Jiangsu has a strong negative dislocation. In view of the results of spatial dislocation analysis, suggestions for improvement and optimization are put forward to promote the high-quality development of tourism in Jiangsu Province.


Jiangsu province, Tourism revenue, Spatial dislocation, Matrix analysis


[1] Rong-hua, J., Jiu-he Z. Research on the Influence Factors of Domestic Tourism Revenue Based on Gray Relational Analysis[J]. Commerical Research, 2010(08): 203-206.

[2] Hongmei, D., Jingbo, Z. Relationship between the abundances of tourism resources and the development of tourism industry in China[J]. Journal of Arid Land Resources and Environment, 2011, 25(02): 173-177.

[3] Huili,Y., Hao X. An analysis on the co-integration and causality relationship between tourism income and Gross Domestic Product (GDP) of China[J]. Journal of Huazhong Normal University (Natural Sciences), 2014, 48(01): 136-141.

[4] Kain j f. Housing segregation, negro employment, and metropolitan decentralization[J]. Quarterly Journal of Economics, 1968, 82(2): 175-197.

[5] Xing-xing,P., Shuang-yu X., Wan-shuang X. An analysis on Spatial Mismatch of Tourism Development in Shanxi Province[J]. Geography and Geo-Information Science, 2014, 30(02): 102-106.

[6] Zhilin,L., Maojun,W., Yanwei C. Spatial mismatch theory: A review on empirical research and methodology[J]. Human geography, 2010, 25(01): 1-6.

[7] Zutao D., Yimei Y. An Analysis ofthe Spatial Mismatch of Tourism Resources, Locationand Inbound Tourism Revenue in China[J]. Tourism Science, 2009, 23(03): 6-10.

[8] Gang-min W., Lin-na C. Analysis on the Spatial Mismatch of Tourism Services,Traffic Location and Tourism Economy in China[J]. Geography and Geo-Information Science, 2014, 30(04): 90-94.

[9] Qian R., Jing H.,Xiaojuan C., et al. A study on the evolution of the spatial mismatch of inbound tourism flows,scenic spots and star hotels in Zhejiang Province[J]. Journal of Huazhong Normal University (Natural Sciences), 2016, 50(01): 151-157.

[10] Qin’an W., Shuang G., Qiao W. Spatial Combination Analysis of Tourism Performance and Its Influencing Factors in Anhui Province Based on the Dislocation Theory[J]. Areal Research and Development, 2019, 38(06): 91-96.

[11] Yuquan T., Ruiling J. Spatial Mismatch Analysis of City Tourism in Jiangsu Province[J]. Journal of Nanjing Institute of Technology(Social Science Edition), 2017, 17(02): 36-41.

[12] Min L., Furong Z., Zhihan X. Analysis of Spatial Dislocation of Class A Tourist Spots and Tourism Income in Shanxi Province[J]. Areal Research and Development, 2020, 39(02): 82-87+93.

[13] Xian-hong B. Analysis on the Intercity Difference and Abundance of Urban Tourism Resources in the Yangtze River Delta[J]. Jiangsu Business, 2006(01): 109-112.

[14] Biao L. Analysis on the Dynamic Evolution and Mechanism of Spatial Dislocation of China’s Tourism Economy[J]. Management World, 2018, 34(05): 172-173.

[15] Chuang-xin L., Yao-feng M., You-yin Z., et al. An analysis of space- time dynamic evolution and dislocation of inbound tourism based on typical cities-with the gravity model as an empirical research[J]. Economic geography, 2010, 30(08): 1372-1377.

[16] Zong-xian F., Jian-shan H. Empirical Application of Research Methods of Focus in the Evolution and Characteristics of China’s Industry and Economic Space[J]. Social scientist, 2005(02): 77-80+83.

[17] Mei-hong W., Gen-nian S., Guo-dong K. The Spatial Mismatch and Combination Matrix Analysis of Natural Capital, Human Capital and Economy Capital in China[J]. Soft Science, 2008(08): 1-5+10.

[18] Zhi-xi T., Gen-nian S. The basis of high-quality development of tourism: an analysis of the gospel theory of tourism resources[J]. Social scientist, 2019(05): 108-115.

[19] Hao L., Run F. On the economic nature of tourist attractions, tourist products, tourist resources and some related concepts[J]. Tourism tribune, 2019, 34(11): 116-123.

[20] Min L., Wei H. Spatial distribution and its influencing factors of national A-level tourist attractions in Shanxi Province[J]. Acta Geographica Sinica, 2020, 75(04): 878-888.



Article Type