Grouping Analysis of QCA for International Ecotourism Destinations in Cloud Computing Era of Geo-ecology
DOI:
https://doi.org/10.4108/ew.4220Keywords:
geo-ecology, cloud computing, ecotourism, QCA group analysisAbstract
INTRODUCTION: The Internet era has made the world more closely connected, and ecotourism has also caught up with the Internet era of cloud computing, making more and more international ecotourism destinations in China known to the world. China's global ecotourism industry has made significant progress, but it needs to be better to construct international ecotourism destinations. Therefore, conducts the grouping analysis of QCA of international ecotourism destinations in the cloud computing era of geo-ecology.
OBJECTIVES: To improve the construction level of China's international ecotourism destinations and promote the in-depth development of China's global ecotourism; to solve the dilemma that China's ecotourism destinations are imperfectly constructed, and the brand can not go out; and to promote the enhancement of tourism concepts of international ecotourism destinations in the age of computers.
METHODS: Firstly, the feasibility analysis of international ecotourism destination construction in the cloud computing era is carried out by using QCA analysis and histogram analysis; secondly, the relevant QCA model is established to analyze the influencing factors of international ecotourism destination construction; lastly, the tripartite game model is utilized to explore the benefits of international ecotourism destinations for the residents, the government, and the enterprises.
RESULTS: The construction of international ecotourism destinations in China is feasible from the perspectives of functional spatial configuration, economic development, cultural tradition, and natural environment; the structure of international ecotourism destinations has an apparent positive driving effect on the construction sites; the tripartite game model shows that there are positive benefits not only for the residents, government, and enterprises but also for the related groups and tourists.
CONCLUSION: From the full text of the study, the construction of international ecotourism destinations has a significant driving effect on China's economy; however, the tourism industry in the era of cloud computing needs to be further standardized, and the construction of international ecotourism destinations should be strengthened.
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Altarawneh, Z., & Tarawneh, M. A. (2021). Design and Analysis of QCA-Based Physical Unclonable Functions for Hardware Security. International Journal on Engineering Applications, 357(356), 45–56. DOI: https://doi.org/10.15866/irea.v9i5.20685
Borba, L. A., Broseghini, L. D. R., Manosso, L. M., Moura, A. B. D., & Réus, G. Z. (2021). Environmental enrichment improves lifelong persistent behavioral and epigenetic changes induced by early-life stress. Journal of Psychiatric Research, 35(35), 45–60. https://doi.org/10.1016/j.jpsychires.2021.04.008 DOI: https://doi.org/10.1016/j.jpsychires.2021.04.008
Bu, N., Kong, H., Wang, K., Qiu, X., & Cheung, C. (2023). Thirty years of artificial intelligence (AI) research in the hospitality and tourism industry. International Journal of Contemporary Hospitality Management, 35(6), 2157–2177. https://doi.org/10.1108/IJCHM-03-2022-0354 DOI: https://doi.org/10.1108/IJCHM-03-2022-0354
Fanghella, V., & Thgersen, J. (2022). Experimental evidence of moral cleansing in the interpersonal and environmental domains. Journal of Behavioral and Experimental Economics (Formerly The Journal of Socio-Economics), 97(45), 45–56. DOI: https://doi.org/10.1016/j.socec.2022.101838
Fernandez, E. B. (2021). Software engineering in the era of cloud computing. Computing Reviews, 5, 62.
Gerrits, L., & Pagliarin, S. (2021). Social and causal complexity in Qualitative Comparative Analysis (QCA): Strategies for emergence. Routledge, 4, 56–69. DOI: https://doi.org/10.20378/irb-48752
Grillitsch, M., Sotarauta, M., Asheim, B., Fitjar, R. D., Haus-Reve, S., Kolehmainen, J., Kurikka, H., Lundquist, K. J., Martynovich, M., & Monteilhet, S. (2022). Agency and Economic Change in Regions: Using Qualitative Comparative Analysis (QCA) to Identify Routes to New Path Development. Papers in Innovation Studies, 24(24), 34–44.
Kalogeros, E., Gergatsoulis, M., Damigos, M., & Nomikos, C. (2023). Efficient query evaluation techniques over large amounts of distributed linked data. Information Systems, 34(34), 56–60. https://doi.org/10.1016/j.is.2023.102194 DOI: https://doi.org/10.1016/j.is.2023.102194
Kim, J. H., Ahn, S., & Lee, E. (2021). Effect of Power Message on Employee Response and Job Recruitment in the Hospitality Industry. Journal of Hospitality & Tourism Research, 34(45), 109634802110109.
Li, H., Zhu, L., & Zheng, M. (2022). Is the cruise enterprise giant also a giant of social responsibility for sustainable development? Marine Policy, 138, 105009-. https://doi.org/10.1016/j.marpol.2022.105009 DOI: https://doi.org/10.1016/j.marpol.2022.105009
Lin, M. T. B., Zhu, D., Liu, C., & Kim, P. B. (2022). A meta-analysis of antecedents of the pro-environmental behavioral intention of tourists and hospitality consumers. Tourism Management, 45–56. https://doi.org/10.1016/j.tourman.2022.104566 DOI: https://doi.org/10.1016/j.tourman.2022.104566
Lukoseviciute, G., Pereira, L. N., & Panagopoulos, T. (2021). Assessing the income multiplier of trail-related tourism in a coastal area of Portugal. International Journal of Tourism Research, 56(67), 342–351.
Nder, I., & Gunter, U. (2022). Blockchain: Is it the future for the tourism and hospitality industry?: Tourism Economics, 28(2), 291–299. https://doi.org/10.1177/1354816620961707 DOI: https://doi.org/10.1177/1354816620961707
Pekovic, S. (2021). Green pull motives and overall tourist satisfaction: A macro- and micro-levels analysis. International Journal of Contemporary Hospitality Management, ahead-of-print(ahead-of-print), 298–306. DOI: https://doi.org/10.1108/IJCHM-06-2020-0609
Porto, N., Ramos, V., & Luna, L. I. (2022). Application of PCA with georeferenced data in the tourism industry: A case study in the province of Córdoba, Argentina: Tourism Economics, 28(2), 559–579. https://doi.org/10.1177/1354816620987681 DOI: https://doi.org/10.1177/1354816620987681
Puzdrakiewicz, K., & Po艂om, M. (2021). Development Prospects of Tourist Passenger Shipping in the Polish Part of the Vistula Lagoon. Sustainability, 13(10), 34–50. https://doi.org/10.3390/su13105343 DOI: https://doi.org/10.3390/su13105343
Shah, S. M. M., Ahmed, U., Ismail, A. I., & Mozammel, S. (2021). Going Intellectually Green: Exploring the Nexus between Green Intellectual Capital, Environmental Responsibility, and Environmental Concern towards Environmental Performance. Sustainability, 13(12), 34–44. https://doi.org/10.3390/su13116257 DOI: https://doi.org/10.3390/su13116257
Wang, G., & Ye, L. (2022). Spatial-Temporal Pattern of Mismatch Degree of High-Quality Tourism Development and Its Formation Mechanism in Taihu Lake Basin, China. Sustainability, 14(45), 12–25. DOI: https://doi.org/10.3390/su14084812
Yang, X. S., & Xu, H. (2022). Producing an ideal village: Imagined rurality, tourism and rural gentrification in China. Journal of Rural Studies, 234(234), 68–75. https://doi.org/10.1016/j.jrurstud.2022.10.005 DOI: https://doi.org/10.1016/j.jrurstud.2022.10.005
Zhou, M., Bo Zhang. (2021). Continuous leakage-resilient certificate-based encryption scheme and application in cloud computing. Theoretical Computer Science, 860(1), 23–40. DOI: https://doi.org/10.1016/j.tcs.2021.01.024
Zhu, S. K., Lingxue Li. (2021). Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth. Sustainable Development, 29(1), 56–66. https://doi.org/10.1002/sd.2131 DOI: https://doi.org/10.1002/sd.2131
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