| Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
|---|---|---|
| Article Number | 12026 | |
| Number of page(s) | 13 | |
| Section | Environmental Ethics and Education | |
| DOI | https://doi.org/10.1051/e3sconf/202124412026 | |
| Published online | 19 March 2021 | |
Fundamentals of forecasting indicators of economic activity of executive bodies for sustainable development
1 People’s Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federatio
2 Russian Customs Academy, 140015, Moscow area, Lyubertsy, Komsomolsky ave., 4, Russian Federation
3 Financial University under the Government of Russian Federation, Moscow, 125993, 49 Leningradsky Prospekt, Russian Federation
4 People’s Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
* Corresponding author: lemesheva.87@bk.ru
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.