Abstract
The strategy of rural revitalization is an important part of resolving the main contradictions of China’s current development, and it is of great significance to China's rural development. However, the long-term urban–rural dual structure has led to serious loss of rural population, and the gradual transformation of rural areas to hollow and aging is an important factor in the steady implementation of the rural revitalization strategy. Rural revitalization has five connotations, namely, industrial prosperity, ecological livability, rural civilization, effective governance, and affluent life. This paper applies advanced intelligent technologies such as cloud computing and big data and green computing, selects 20 indicators to evaluate the five dimensions of rural revitalization, and carries out data analysis. At the same time, a system dynamics model is constructed to simulate rural revitalization and the interactive relationship between the level of information system on aging and predict the five dimensions of rural revitalization from 2020 to 2030. The results found that the deepening of the aging level has a positive effect on rural revitalization; it has different degrees of promotion effect on the five dimensions, and the basic sequence from fast to slow is: living affluent > rural culture > industrial prosperity > ecological livability > governance effective; the overall rating of rural revitalization has also shown rapid growth. In the context of big data, discuss the impact of aging information system on rural revitalization from a quantitative perspective, ho** to provide a certain reference for the implementation of rural revitalization.
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Acknowledgements
This work was financially supported by (1) Hainan Provincial Natural Science Foundation of China in 2022 (722MS064): Research on resource and environment coordination mechanism and realization path driven by county innovation in Hainan Province under the background of Rural Revitalization; (2) Haikou Federation of Social Sciences 2022 Social Science Planning Project (2022—ZCKT—22): The integration mechanism and implementation path of international carbon emissions trading and supervision sandbox on Hainan Free Trade Island; (3) Key topics of Hainan Free Trade Port Finance Society in 2022 (Qiong** Xuezi [2022] Item 43 of Project No. 13): Hainan Free Trade Port establishes a carbon trading financial innovation research focusing on "regulatory sandbox"; (4) 2018 National Social Science Fund Project (18BJL017), Project Name: Study on Marx's Theory of Ground Rent and Deepening the Reform of Rural Land System; (5) Talents project of Hainan Normal University of 2021; (6) The 2022 United Front Project of Hainan Normal University (Haishi Dang Tong Han [2002] No. 003, Item 10): The Historical Experience of China's Silk Road and the Construction of a Community with a Shared Future for Mankind.
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Wang, L., Zhang, Q., Cui, J., Wang, Y., Pan, Y. (2023). Research on the Influence of Aging Information System Optimization Based on Big Data on China’s Rural Revitalization. In: Nakamatsu, K., Kountchev, R., Patnaik, S., Abe, J.M. (eds) Advanced Intelligent Technologies for Information and Communication. ICAIT 2022. Smart Innovation, Systems and Technologies, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-99-5203-8_4
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