scholarly journals Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence+” Development Strategy

Author(s):  
Liu Jing-Yi
Author(s):  
Grygorii Monastyrskyi ◽  
Olena Borysiak ◽  
Andrii Kotsur

The article is devoted to deepening of research the using of ecological types of transport in cities. Climate change, urbanization and increased mobility of the people are the basis for improvement of municipal transport management policy. The international experience of using of different types of transport on the basis of municipal ecology and the using of “smart” technologies is explored in the article. The diversification of transport and the increasing of popularity of ecological types of transport (trams, trains, bicycles, electric cars, etc.) are investigated. As a result, the using of ecological diversification policy in the municipal transport management system is proposed. The essence of the implementation of such policy is to approve the principles of sustainable development of the transport system, municipal ecology by promoting the ecological types of transport (bicycles, scooters, electric cars, trams, trains, etc.), taking into account the trends of artificial intelligence development and possibilities of smart specialization of the transport system. In addition, the ecological diversification policy predicts inclusion of the trends of artificial intelligence development and the possibilities of smart specialization in the transport system. The correlation assessment of the dynamic of transport using and the level of carbon dioxide emissions of transport in Ukraine were conducted. In the context of the research of features of the implementation of ecological diversification policy in the municipal transport management system, the prospects for the development of bicycle transport and bicycle tourism, the assessment of supply and demand for ecological types of transport, the development of the energy service market for ecological types of transport in the municipal transport management system were established.


2021 ◽  
pp. 08-22
Author(s):  
Vitalina Babenko ◽  
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In recent years, the sharing economy has risen rapidly, infiltrating into many fields such as travel, accommodation, medical care, and finance, and has injected new development momentum into these industries. In the shared economy, the sharing of resources not only promotes the flow of social wealth, but also enables idle items to continue to use value and improve resource utilization. The rapid development of the sharing economy brings many benefits, but at the same time, some traditional business models are dying. In China, there is no relevant policy to integrate the economic business model into the scope of tax collection and management. This phenomenon has caused China's tax source. Loss. In response to this problem, this paper studies the taxation of the shared economic business model. Using big data analysis technology as a basic tool, through the analysis of domestic shared economic data, the research on the shared economic business model was completed. Based on the analysis of the status quo of the taxation system of the shared economic business model, the suggestions for perfecting the taxation system of the shared economic business model in China are given, so that the tax collection and management system such as the tax collection concept and the collection and management system can be better adapted. Sharing new requirements for economic development.


2021 ◽  
Author(s):  
HUI-QIN LI ◽  
QUN ZHONG

By reviewing the development course of Artificial Intelligence and tax collection and management in China, this paper analyzes the exploration and application of AI technology in tax declaration, evaluation, inspection and other links. Based on AI intelligent technology theories and tax principles, this paper mainly discusses the efficiency of tax management. Our research shows that AI intelligent technology can make the complicated tax management work more efficient. While promoting the establishment of modern financial system, AI technology also face many challenges.


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