Title
Transit tariff optimization model for Russia and Central Asia energy cooperation
Abstract
The purpose of this article is to develop an optimization model for determining transit tariffs for energy resources, ensuring maximum efficiency of energy cooperation between Russia and the countries of Central Asia. The informational basis of the study was the statistical values of the indicators in the context of the countries studied for 2010-2017: gross domestic product (GDP), exports, energy imports, CO2 emissions, the level of transit tariffs for oil and gas. In order to achieve the objectives set by the method of multidimensional factor and integral analysis, the effectiveness of export-import relations between the studied countries was evaluated. The regression analysis method determined the elasticity coefficients of the export-import potential of countries and the transit tariff, with their impact on the efficiency of energy trade. Using a non-linear method of the generalized decreasing gradient, a model has been developed for calculating the optimal levels of transit tariffs for oil and gas, at which maximum efficiency of energy cooperation in the framework of export-import operations between Russia and Central Asia is achieved. The developed model for calculating the optimization of transit tariffs for hydrocarbons is based on the mutual reduction of their level between countries and the principle of equivalence. Practical application of the obtained optimal values of transit tariffs will ensure the intensification of export-import operations with hydrocarbons between countries on mutually beneficial economic conditions. It will be the basis for the development of effective strategies for the development of dense energy cooperation in the future.
Keywords
energy cooperation, transit tariffs, energy resources, Russia, Central Asia
JEL classifications
Q40 , H21 , F10
URI
http://jssidoi.org/jesi/article/376
DOI
Pages
398-412
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
RSS 1.0
