Issue |
E3S Web Conf.
Volume 110, 2019
International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
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|
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Article Number | 02055 | |
Number of page(s) | 10 | |
Section | Environmental Management and Economics | |
DOI | https://doi.org/10.1051/e3sconf/201911002055 | |
Published online | 09 August 2019 |
Financing of low resource intensity technology of Arctic industrial enterprises
1 Branch of Murmansk Arctic State University in Apatity, Lesnayast. 29, 184209, Apatity, Russia
2 G.P. Luzin Institute for Economic Studies of the Kola Science Centre of the RAS, Fersmanstr. 24a, 184209, Apatity, Russia
* Corresponding author: zharov_vs@mail.ru
For the Arctic municipalities, the actual problem of their sustainable development is the reduction of industrial emissions of pollutants into the environment together with production waste, and a decrease in the amount of already accumulated waste. The aim of the study is to develop a scheme for the provision of state financial support to industrial enterprises for the introduction of technologies that reduce the level of energy and resource capacity of production. A procedure for developing such support has been proposed in the form of a system of priorities and criteria for selecting industrial en-terprises. The criteria for such a selection are formulated. It is pro-posed to use the imitational dynamic model of the enterprise’s inno-vative development, which introduces an analytical relationship be-tween the set target increase in the share of value added in the value of industrial products and the amount of investment in fixed capital necessary to achieve this goal. It is shown that using such a model to develop medium-term forecasts for the development of enterprises, it is possible to calculate the increase in the volume of basic taxes that will receive the budgets of all three levels of the Russian budget sys-tem.
© The Authors, published by EDP Sciences, 2019
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.
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