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Regional Differentiation of Chinese Tourism Web sites

Regional Differentiation of Chinese Tourism Web sites. Jie ZHANG, et al Department of Geography, Nanjing University, Nanjing, P.R. of China jiezhang@nju.edu.cn. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites.

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Regional Differentiation of Chinese Tourism Web sites

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  1. Regional Differentiation of Chinese Tourism Web sites Jie ZHANG, et al Department of Geography, Nanjing University, Nanjing, P.R. of China jiezhang@nju.edu.cn

  2. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Case study on cybergeography of Chinese Tourism Web sites (CTW). • Data • investigation and statistics in 1999 and 2002, the spatial distribution of CTW in mainland of China • the influence factors were analyzed • Aims: • Whether CTW in China spatially differentiated • Influence factors ENTER 2004 Research Track

  3. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Background • Theoretical: research on tourism web sites • Approaches mainly on tourism marketing and transforming the tourism industry(Doolin et al, 2002; Wan, 2002; Rayman-Bacchus & Molina, 2001; Buhalis, 2001). • A certain lack on the regional distribution of tourism web sites • Practical • Development of internet and tourism websites • Development of the tourism industry ENTER 2004 Research Track

  4. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Method • Data collection • Tourism websites: • Statistics on two most popular visited website • Statistics on line in 1999 and 2002 • Background data • Data broadcasted by CICI • Data base consisted of all over 2000 cities and counties • Second index from published research reference ENTER 2004 Research Track

  5. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Analysis • Corelation Regression • Software: • Data base: Foxpro • SPSS • Regional development and analysis ENTER 2004 Research Track

  6. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Basic result- CTW situation ENTER 2004 Research Track

  7. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Regional differentiation of Structure of CTW ENTER 2004 Research Track

  8. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Basic Characteristics: • Tourist web sites well developed and more populated in the provinces and metropolises along the eastern coastal region, such as Shanghai, Guangdong, Beijing, Jiangsu, • Total numbers of CTW Related to social and economic development ENTER 2004 Research Track

  9. Family Monthly Income （Yuan） Noincome Under 500 501~ 1000 1001~2000 2001~4000 4001~6000 Over 6001 Internet User Proportion (%) July, 2003 19.5 20.8 18.3 25.7 10.7 2.9 2.1 ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites Table 1. The Internet users divided by family monthly income per capita（Data from CICI,2003: http://www.cnnic.cn/develst/2003-7/4-2-1.shtml） ENTER 2004 Research Track

  10. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites Left: Distribution of Chinese web sites of hotel Right: Distribution of Chinese tourism agency web sites ENTER 2004 Research Track

  11. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites Quantitative analysis: • Model - relationship between CTW and domains: • Tw = 33.03 ＋0.00938 * D （1） • R=0.732，Sig=0.000 • Where :Tw - total number of regional tourism web sites • D- total number of internet domains • Test: Sig=0.000 , significant (two-tailed) at level of 0.001. • Refined model -Two special cities incoordinated, i.e.,Beijing, Guangzhou,Eliminated and reanalysised: • Tw = 20.35＋0.0233* D （2） • R=0.867，Sig=0.000 ENTER 2004 Research Track

  12. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • CTW vs Hotels and tourist agency • Tw = -3.598＋0.145* H+0.115*A （3） • R=0.898，Sig=0.000 • Where H - total number of hotels, • A - total number of travel agency • CTW vs IT and TI (tourism industry) • Tw =26.65+0.00489* D+0.03367*T （4） • R=0.935，Sig=0.000 • Where: D - total number of regional domains, • T - total number of travel agency and hotels ENTER 2004 Research Track

  13. ROP IIE CARI Pearson Correlation Coefficient R 0.618 0.595 0.448 Sig. (2-tailed) 0.000 0.001 0.013 Significant test Correlation significant at the 0.01 level Correlation significant at the 0.01 level Correlation significant at the 0.05 level ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites Correlation of Regional CTW to regional innovation Indices （2001） ENTER 2004 Research Track

  14. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Discussion: • Correlation and the origin-result relationship • Appearance: • CTW is the result of regional IT and TI • Another possible relationship: • CTW cause the IT and TI • Leaving for the further study ENTER 2004 Research Track

  15. Type of region Case province Background and situation of the tourism website construction Regional strategy Less developed with superior attractions Tibet, Jiang-xi, Gui-zhou, Guang-xi, Rich in tourist attractions, esp. natural landscapes, less developed social-economic situation and the technology for internet, far away from main origins of domestic tourists, severe short of tourism web sites Setting up the tourism web sites system, attentions need to be paid to cooperated with tourist services and hotels. Focus on the e-business and the communication functions to outside province. Relatively developed regions Zhejiang, Jiangsu, Shandong Rich in tourist attractions, better location and social, economic and technological condition, rich in tourism web sites Developing tourism web sites further in scale and enhance the related function of e-business and communication to both domestic and abroad object markets, optimizing structure of the web sites. Distributing centers Shanghai, Guangdong Superior accessibility for both domestic and abroad origins, superior social, economic and info-tech background, with plenty of tourist web sites with high quality Enhance the ability of international communication (e.g. bi-lingual or multi-lingual edition ) and the e-business as well as network security Information type Hainan, Yunnan Rich in tourism attractions, middle social and economical background, well developed tourism web sites Develop e-business of tourist web sites, reinforce the destination development of tourism industry and infrastructures Synthesized type Beijing Well developed social and economic background, center of the national politics and administration, info-tech with top level, tourism website without high status in whole internets compared with synthesized web sites Developing more tourism web sites or webpage as well as the interlinks with synthesized web sites, developing character tourist website for the segmented marketing, tourist whole –saler, tourist consultation and tourist agents, developing e-business(online booking and checking) ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites ENTER 2004 Research Track

  16. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Types of region • Less developed with superior attractions • Tibet, Qinghai, Jiang-xi, Gui-zhou, Guang-xi • Relatively developed regions • Zhejiang, Jiangsu, Shandong • Distributing centers • Shanghai, Guangdong • Information type • Hainan, Yunnan • Synthesized type • Beijing ENTER 2004 Research Track

  17. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Type: Less developed with superior attractions • Case provinces: Tibet, Jiang-xi, Gui-zhou, Guang-xi, • Character: • Rich in tourist attractions, esp. natural landscapes, • less developed social-economic situation and IT • far away from main origins of domestic tourists, • severe short of tourism web sites • Strategy: • Setting up the tourism web sites system • Attentions need to be paid to cooperated with tourist services and hotels. • Focus on the e-business and the communication functions to outside province ENTER 2004 Research Track

  18. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Type-Relatively developed regions • Case province: Zhejiang, Jiangsu, Shandong • Character: • Rich in tourist attractions, • better location and social, economic and technological condition, • rich in tourism web sites • Strategy: • Developing tourism web sites further in scale • enhance the related function of e-business and communication to both domestic and abroad object markets, • optimizing structure of the web sites. ENTER 2004 Research Track

  19. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Type: Distributing centers-Shanghai, Guangdong • Character: • Superior accessibility for both domestic and abroad origins, • superior social, economic and info-tech background, • with plenty of tourist web sites with high quality • Strategy: • Enhance the ability of: • international communication (e.g. multi-lingual edition • e-business • network security ENTER 2004 Research Track

  20. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Type: Information type-Hainan, Yunnan • Character: • Rich in tourism attractions, • Middle social and economical background • Well developed tourism web sites • Strategy: • Develop e-business of tourist web sites, • Reinforce the destination development of tourism industry and infrastructures ENTER 2004 Research Track

  21. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites • Type: Synthesized type-Beijing • Character: • Well developed social and economic background, • Center of the national politics and administration, info-tech with top level, • Tourism website without high status in whole internets compared with synthesized web sites • Strategy: • Developing more tourism web sites,webpage & internet links with synthesized web sites, • developing CTW for the segmented marketing, tourist whole –saler, tourist consultation and tourist agents, • developing e-business(online booking and checking) ENTER 2004 Research Track

  22. ZHANG J, et al: Regional Differentiation of Chinese Tourism Web sites Many Thanks! ENTER 2004 Research Track

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