A study on the supply factors and mechanism of the inter-regional diffusion and transfer of inbound tourism flow

References

• Andraz, J. M., & Rodrigues, P. M. M. (2016). Monitoring tourism flows and destination management: Empirical evidence for Portugal. Tourism Management, 56(5), 1–7. https://doi.org/10.1016/j.tourman.2016.03.019
   PubMedGoogle Scholar
• Asero, V., Gozzo, S., & Tomaselli, V. (2016). Building tourism networks through tourist mobility. Journal of Travel Research, 55(6), 751–763. https://doi.org/10.1177/0047287515569777
   Web of Science ®Google Scholar
• Athari, S. A., Alola, U. V., Ghasemi, M., & Alola, A. A. (2021). The (Un)sticky role of exchange and inflation rate in tourism development: Insight from the low and high political risk destinations. Current Issues in Tourism, 24(12), 1670–1685. https://doi.org/10.1080/13683500.2020.1798893
   Web of Science ®Google Scholar
• Balli, F., Balli, H. O., & Louis, R. J. (2016). The impacts of immigrants and institutions on bilateral tourism flows. Tourism Management, 52(1), 221–229. https://doi.org/10.1016/j.tourman.2015.06.021
   Google Scholar
• Cenamor, I., de la Rosa, T., Núñez, S., & Borrajo, D. (2017). Planning for tourism routes using social networks. Expert Systems with Applications, 69(1), 1–9. https://doi.org/10.1016/j.eswa.2016.10.030
   Google Scholar
• Chen, G. (2014). Advanced econometrics and stata applications (2nd ed.). Higher Education Press.
   Google Scholar
• Cheng, C., Zhou, Z., & Lu, J. (2020). Spatial differentiation and optimization strategy of tourism flows between China and ASEAN. Economic Geography, 40(9), 204–212. https://doi.org/10.15957/j.cnki.jjdl.2020.09.022
   Google Scholar
• Dai, M., & Ma, X. (2019). A research on temporal dynamics of spatial pattern of China’s provincial inbound tourism for 1991-2016. Tourism Tribune, 34(10), 106–115. https://doi.org/10.19765/j.cnki.1002-5006.2019.10.013
   Google Scholar
• Dogru, T., Sirakaya-Turk, E., & Crouch, G. I. (2017). Remodeling international tourism demand: Old theory and new evidence. Tourism Management, 60(3), 47–55. https://doi.org/10.1016/j.tourman.2016.11.010
   Google Scholar
• Elhorst, J. P. (2014). Spatial econometrics: From cross-sectional data to spatial panels. Springer.
   Google Scholar
• Fu, G. (2010). Consumer behavior. Higher Education Press.
   Google Scholar
• Han, H., Kim, S. S., & Otoo, E. F. (2018). Spatial movement patterns among intra-destinations using social network analysis. Asia Pacific Journal of Tourism Research, 23(8), 806–822. https://doi.org/10.1080/10941665.2018.1493519
   Web of Science ®Google Scholar
• Jansen-Verbeke, M., & Spee, R. (1995). A regional analysis of tourist flows within Europe. Tourism Management, 16(1), 73–80. https://doi.org/10.1016/0261-5177(95)93433-W
   Web of Science ®Google Scholar
• Jiang, Y., Liu, Y., Wang, N., Xu, H., Gao, J., Hong, P., & Fang, Y. (2022). The spatial dynamics of global inbound tourism network centrality during 2004-2019. Geographical Research, 41(3), 698–712. https://doi.org/10.11821/dlyj020210106
   Google Scholar
• Jiao, X., Li, G., & Chen, J. I. (2020). Forecasting international tourism demand: A local spatiotemporal model. Annals of Tourism Research, 83(4), 102937. https://doi.org/10.1016/j.annals.2020.102937
   Google Scholar
• Khalid, U., Okafor, L. E., & Shafiullah, M. (2020). The effects of economic and financial crises on international tourist flows: A cross-country analysis. Journal of Travel Research, 59(2), 315–334. https://doi.org/10.1177/0047287519834360
   Web of Science ®Google Scholar
• Law, R., Li, G., Fong, D. K. C., & Han, X. (2019). Tourism demand forecasting: A deep learning approach. Annals of Tourism Research, 75(2), 410–423. https://doi.org/10.1016/j.annals.2019.01.014
   Google Scholar
• Li, C., Ma, Y., He, Y., Chu, Y., & Zhang, Y. (2011). Research on the spatial and temporal dynamics of the concentration and diffusion of inbound tourist flows in China’s western regions from 1994 to 2008: Taking Shaanxi, Sichuan and Yunnan province as an example. Tourism Tribune, 26(7), 12–19.
   Google Scholar
• Li, C., Ma, Y., Zhang, Y., & Huang, P. (2012). The spatial field effect and regional structure of concentration and diffusion of inbound tourism flows on spatial and temporal scale: Case of typical district of the eastern part of the silk road. Scientia Geographica Sinica, 32(2), 176–185. https://doi.org/10.13249/j.cnki.sgs.2012.02.007
   Google Scholar
• Li, H. Y., Chen, J. L., Li, G., & Goh, C. (2016). Tourism and regional income inequality: Evidence from China. Annals of Tourism Research, 58(3), 81–99. https://doi.org/10.1016/j.annals.2016.02.001
   Google Scholar
• Li, S., Yang, Y., Zhong, Z., & Tang, X. (2021a). Agent-Based modeling of spatial spillover effects in visitor flows. Journal of Travel Research, 60(3), 546–563. https://doi.org/10.1177/0047287520930105
   Web of Science ®Google Scholar
• Li, X., Law, R., Xie, G., & Wang, S. (2021b). Review of tourism forecasting research with internet data. Tourism Management, 83, 104245. https://doi.org/10.1016/j.tourman.2020.104245
   Web of Science ®Google Scholar
• Liu, F., Zhang, J., & Chen, D. (2010). The characteristics and dynamical factors of Chinese inbound tourist flow network. Acta Geographica Sinica, 65(8), 1013–1024.
   Google Scholar
• Liu, Y., Li, Y., & Parkpian, P. (2018). Inbound tourism in Thailand: Market form and scale differentiation in ASEAN source countries. Tourism Management, 64(1), 22–36. https://doi.org/10.1016/j.tourman.2017.07.016
   Google Scholar
• Llorca-Rodríguez, C. M., Chica-Olmo, J., & Casas-Jurado, A. C. (2021). The effects of tourism on EU regional cohesion: A comparative spatial cross-regressive assessment of economic growth and convergence by level of development. Journal of Sustainable Tourism, 29(8), 1319–1343. https://doi.org/10.1080/09669582.2020.1835930
   Web of Science ®Google Scholar
• Matley, I. M. (1976). The geography of international tourism. Resource paper 76-1. Association of American Geographers.
   Google Scholar
• Mou, N., Yuan, R., Yang, T., Zhang, H., Tang, J., & Makkonen, T. (2020). Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China. Tourism Management, 76, 103955. https://doi.org/10.1016/j.tourman.2019.103955
   Web of Science ®Google Scholar
• Okafor, L. E., Khalid, U., & Then, T. (2018). Common unofficial language, development and international tourism. Tourism Management, 67(4), 127–138. https://doi.org/10.1016/j.tourman.2018.01.008
   Google Scholar
• Ren, M., Park, S., Xu, Y., Huang, X., Zou, L., Wong, M. S., & Koh, S. Y. (2022). Impact of the COVID-19 pandemic on travel behavior: A case study of domestic inbound travelers in Jeju, Korea. Tourism Management, 92, 104533. https://doi.org/10.1016/j.tourman.2022.104533
   PubMed Web of Science ®Google Scholar
• Shen, G., & Yuan, Z. (2020). The effect of enterprise internetization on the innovation and export of Chinese enterprises. Economic Research, 55(1), 33–48.
   Google Scholar
• Shi, W., Luo, M., Jin, M., Cheng, S. K., & Li, K. X. (2020). Urban-Rural income disparity and inbound tourism: Spatial evidence from China. Tourism Economics, 26(7), 1231–1247. https://doi.org/10.1177/1354816619872035
   Web of Science ®Google Scholar
• Song, H., Gartner, W. C., & Tasci, A. D. A. (2012). Visa restrictions and their adverse economic and marketing implications – evidence from china. Tourism Management, 33(2), 397–412. https://doi.org/10.1016/j.tourman.2011.05.001
   Web of Science ®Google Scholar
• Song, H., & Li, G. (2008). Tourism demand modelling and forecasting—A review of recent research. Tourism Management, 29(2), 203–220. https://doi.org/10.1016/j.tourman.2007.07.016
   Web of Science ®Google Scholar
• Tosun, C., Timothy, D. J., & Öztürk, Y. (2003). Tourism growth, national development and regional inequality in Turkey. Journal of Sustainable Tourism, 11(2&3), 133–161. https://doi.org/10.1080/09669580308667200
   Google Scholar
• Wang, Y., Wang, M., Wu, D., & Li, R. (2018). Determinants of inbound tourism flows between provinces in China based on ZINB model. Economic Geography, 38(11), 234–240. https://doi.org/10.15957/j.cnki.jjdl.2018.11.028
   Google Scholar
• Wang, Z., & Li, T. (2021). Spatiotemporal coupling analysis of China’s inbound tourism distributive superiority and tourism economic efficiency. Human Geography, 36(5), 157–166. https://doi.org/10.13959/j.issn.1003-2398.2021.05.019
   Google Scholar
• Wu, L., Hu, J., & Zhang, J. (2020). The spatial econometric modeling and influencing factor effects of inbound tourism development in China’s provincial regions. Tourism Tribune, 35(3), 14–27. https://doi.org/10.19765/j.cnki.1002-5006.2020.03.007
   Google Scholar
• Wu, L., & Zhang, J. (2013). Impact study of crisis events and policy changes on China’s inbound tourism based on China’s inbound tourism receipts that eliminated the direct price effect. Tourism Tribune, 28(3), 29–37. https://doi.org/10.3969/j.issn.1002-5006.2013.03.004
   Google Scholar
• Wu, L., & Zhang, J. (2017). A study on the structural difference and transfer Law of regional concentration and diffusion of inbound tourist flows in China. Tourism Science, 31(6), 14–29. https://doi.org/10.16323/j.cnki.lykx.2017.06.002
   Google Scholar
• Yang, Y., & Fik, T. (2014). Spatial effects in regional tourism growth. Annals of Tourism Research, 46(3), 144–162. https://doi.org/10.1016/j.annals.2014.03.007
   Google Scholar
• Yang, Y., Fik, T. J., & Zhang, H. (2017). Designing a tourism spillover index based on multidestination travel. Journal of Travel Research, 56(3), 317–333. https://doi.org/10.1177/0047287516641782
   Web of Science ®Google Scholar
• Zeng, B. (2018). Pattern of Chinese tourist flows in Japan: A social network analysis perspective. Tourism Geographies, 20(5), 810–832. https://doi.org/10.1080/14616688.2018.1496470
   Web of Science ®Google Scholar
• Zhang, C., Weng, S., & Bao, J. (2020). The changes in the geographical patterns of China's tourism in 1978-2018: Characteristics and underlying factors. Journal of Geographical Sciences, 30(3), 487–507. https://doi.org/10.1007/s11442-020-1739-2
   Web of Science ®Google Scholar
• Zhang, H., Jiang, Z., Gao, W., & Yang, C. (2022). Time-varying impact of economic policy uncertainty and geopolitical risk on tourist arrivals: Evidence from a developing country. Tourism Management Perspectives, 41, 100928. https://doi.org/10.1016/j.tmp.2021.100928
   Web of Science ®Google Scholar
• Zhang, S. (2013). Study on the relationship between inbound tourism development and economic growth in Hunan province. Economic Geography, 33(7), 182–186. https://doi.org/10.15957/j.cnki.jjdl.2013.07.027
   Google Scholar
• Zhang, Y., Gu, J., Ma, Y., & Huang, H. (2012). Study on diffusion model and dynamic mechanism of Beijing inbound tourists’ flow. Human Geography, 27(5), 120–127. https://doi.org/10.13959/j.issn.1003-2398.2012.05.019
   Google Scholar
• Zhao, D. (2008). Study on the influencing factors of the development of China’s provincial inbound tourism-analysis based on the provincial panel data. Tourism Tribune, 23(1), 41–51.
   Google Scholar