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  • 标题:Fundamentals of forecasting indicators of economic activity of executive bodies for sustainable development
  • 本地全文:下载
  • 作者:Zhanna Chupina ; Olga Sokolnikova ; Oksana Yurchenko
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:244
  • 页码:12026
  • DOI:10.1051/e3sconf/202124412026
  • 出版社:EDP Sciences
  • 摘要:Forecasting plays a significant role in organizing the economic activities of executive authorities using the example of customs authorities, since this is associated with the ongoing policy of optimizing customs payments administered by customs authorities, ensuring the economic security of the state, improving the quality of customs services and compliance with customs legislation. A wide range of forecasting methods allows them to be applied on the basis of assessing the feasibility of applying one method or another to forecast the main economic indicators of the activities of executive authorities. The analysis of the scientific and methodological base made it possible to form and propose a generalized algorithm for forecasting the indicators of the economic activity of executive authorities. Goal is to develop a generalized algorithm for predicting the indicators of the economic activity of executive authorities using the example of customs authorities.
  • 其他摘要:Forecasting plays a significant role in organizing the economic activities of executive authorities using the example of customs authorities, since this is associated with the ongoing policy of optimizing customs payments administered by customs authorities, ensuring the economic security of the state, improving the quality of customs services and compliance with customs legislation. A wide range of forecasting methods allows them to be applied on the basis of assessing the feasibility of applying one method or another to forecast the main economic indicators of the activities of executive authorities. The analysis of the scientific and methodological base made it possible to form and propose a generalized algorithm for forecasting the indicators of the economic activity of executive authorities. Goal is to develop a generalized algorithm for predicting the indicators of the economic activity of executive authorities using the example of customs authorities.
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