Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

Yuqi Bian

doi:10.4108/ew.3947

Authors

Yuqi Bian School of Tourism and Foreign Languages,Tourism College of Zhejiang, Hangzhou 311231, Zhejiang, China / General Graduate School, Woosong University, Daejeon, 34606, South Korea

DOI:

https://doi.org/10.4108/ew.3947

Keywords:

domain-wide edge computing, green tourism, green development, CIPP modeling

Abstract

INTRODUCTION: Eco-development is an essential national strategy, which has become an effective way to sustain China's tourism industry in the new era. Nowadays, the problem of climate change is becoming more and more serious, and the restriction on natural resources and the environment is becoming more and more serious. Improving the economic efficiency of the tourism industry and advancing the reform of its economic efficiency are critical priorities for the high-quality development of the tourism industry. Therefore, it is crucial for edge computing to empower green tourism and green growth.

OBJECTIVES: The purpose is to enhance the development of green tourism in China and promote the sustainable development of China's tourism industry; to solve the problems of severe environmental damage and resource consumption in the development of the tourism industry; and to promote the application of information technology, such as full-area edge computing, in the development of China's tourism industry, and to realize the combination of the CIPP education concept and the concept of green tourism promotion.

METHODS:Firstly, the authors find the necessity of researching the CIPP model of green tourism and green development empowered by the whole domain edge computing by using the study of literature and theory; secondly, the Author analyzes the importance of the education of the concept of green tourism and green development by using the method of analyzing the CIPP model; and lastly, the authors measure and enhance the effectiveness of green tourism and green development by using the mobile whole domain edge computing.

RESULTS: The whole-domain edge computing has better stability for green tourism and green development measurement, and the use of the CIPP model can better deepen tourists' tourism concepts of green tourism and green development and promote green tourism development.

CONCLUSION: The level of innovation in China's tourism industry is improving, and multivariate analysis shows that innovation is the key force driving industrial change and quality development. Therefore, it is essential to continue supporting an innovative and technology-driven tourism industry and continuously improving its innovative technologies and content. Greater emphasis will be placed on training and improving the quality of tourism staff. Tourism talent is the basis for innovation in tourism management and services and a critical factor in the development of an innovative system for tourism.

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References

Basaran, M., Dursun, B., Dortok, H. D. G., & Yilmaz, G. (2021). Evaluation of Preschool Education Program According to CIPP Model. Pedagogical Research, 4(2), 56–66. https://doi.org/10.29333/pr/9701 DOI: https://doi.org/10.29333/pr/9701

Caiazza, C., Cicconetti, C., Luconi, V., & Vecchio, A. (2021). Measurement-driven design and runtime optimization in edge computing: Methodology and tools. Computer Networks, 20(Jul.20), 194. DOI: https://doi.org/10.1016/j.comnet.2021.108140

Chen, F., Liu, J., Wu, J., Sjafrie, N. D. M., & Putranto, R. Y. (2021). Measuring the relationship among stakeholders from value-satisfaction-demand in the development of ecotourism of Marine Park. Marine Policy, 129(2), 104519. DOI: https://doi.org/10.1016/j.marpol.2021.104519

Chen, Zhengjie., Wang, Feng., Liu, Beibei., & Zhang, Bing. (2022). Short-Term and Long-Term Impacts of Air Pollution Control on China's Economy. Environmental Management, 70(3), 536–547. https://doi.org/10.1007/s00267-022-01664-1 DOI: https://doi.org/10.1007/s00267-022-01664-1

Fortino, G., Fotia, L., Messina, F., Rosaci, D., & Sarne, G. M. L. (2021). Trusted Object Framework (TOF): A clustering reputation-based approach using edge computing for sharing resources among IoT smart objects. Computers and Electrical Engineering, Pt. B, 96. DOI: https://doi.org/10.1016/j.compeleceng.2021.107568

Gong, T., Sun, P., & Kang, M. J. (2021). Customer-Oriented Constructive Deviance as a Reaction to Organizational Injustice toward Customers. Cornell Hospitality Quarterly, 13(11), 46–52.

He, W., Chen, X., Liu, P., Lin, B., & Zhou, H. (2022). Green finance support for development of green buildings in China: Effect, mechanism, and policy implications. Energy Policy, jun(Jun.), 165. DOI: https://doi.org/10.1016/j.enpol.2022.112973

Huang, J., Sun, C., & Chen, J. (2023). Experimental Recognition of Plastic Domain in Contact Problem Based on Full Field Metrology and Neural Network. International Journal of Applied Mechanics, 15(03). https://doi.org/10.1142/S1758825122500879 DOI: https://doi.org/10.1142/S1758825122500879

Irzan, I., Ahmad, S., & Wahidy, A. (2021). To evaluate the performance of online learning in primary schools when pandemic covid-19 in rantau panjang sub district with cipp model. 44(34), 78–84. https://doi.org/10.29210/021059jpgi0005 DOI: https://doi.org/10.29210/021059jpgi0005

Jiang, G., & Liu, S. (2021). Research measuring the differences in the high-quality development of rural economy in China's Provinces. Annals of Operations Research, 12(12), 34–56.

Johnson, A.-G. (2022). Discrimination and technologies in tourism: Applying critical race theory to future studies. International Journal of Tourism Research, 24(2), 308–310. https://doi.org/10.1002/jtr.2502 DOI: https://doi.org/10.1002/jtr.2502

Li, Z., & Liu, H. (2022). How tourism industry agglomeration improve tourism economic efficiency? Tourism Economics, 28(13), 22. https://doi.org/10.1177/13548166211009116 DOI: https://doi.org/10.1177/13548166211009116

Liu, C., Zhou, H., & Liu, H. (2021). The Sustainable Development and Expenditure: Revenues Nexus of the WII Fund in China. SAGE Open, 11(56), 23–33. https://doi.org/10.1177/21582440211015418 DOI: https://doi.org/10.1177/21582440211015418

Pogosyan, L., Sedov, S., Yurtaev, A., Rusakov, A., Lessovaia, S. N., Sheinkman, V., & Pechkin, A. S. (2022). Polygenesis of loamy soils in North-West Siberia in the context of the environmental history of the Eurasian Artic region during the Late Quaternary. Quaternary International, 22(23), 45–55. https://doi.org/10.1016/j.quaint.2021.01.013 DOI: https://doi.org/10.1016/j.quaint.2021.01.013

Ranasinghe, R., Bandara, A., Gangananda, N., & Perera, P. (2021). Role of Tourism in the Global Economy: The Past, Present and Future. Journal of Hospitality & Tourism Research, 4(1), 2–18.

Razzaq, A., Sharif, A., Ahmad, P., Jermsittiparsert, K., & Welford, R. (2021). Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach. Sustainable Development, 29(1), 176–193. https://doi.org/10.1002/sd.2139 DOI: https://doi.org/10.1002/sd.2139

Tian, L., Pu, W., Su, C. H. J., Chen, M. H., & Lin, Y. X. (2022). Asymmetric effects of China's tourism on the economy at the city level: A moderating role of spatial disparities in top-level tourist attractions. Current Issues in Tourism, 23(22), 45–57. https://doi.org/10.1080/13683500.2021.1987397 DOI: https://doi.org/10.1080/13683500.2021.1987397

Wang, M., YujieChen, HongLong, RuyinLiu, BeiJiang, ShiyanYang, XingxingYang. (2021). Evaluating green development level of mineral resource-listed companies: Based on a "dark green" assessment framework. Resources Policy, 71(1), 56–64. DOI: https://doi.org/10.1016/j.resourpol.2021.102012

Wei, J., Zhong, Y., & Fan, J. (2022). Estimating the Spatial Heterogeneity and Seasonal Differences of the Contribution of Tourism Industry Activities to the Night Light Index by POI. Sustainability, 14(11), 10–25. DOI: https://doi.org/10.3390/su14020692