The relevance of the research is caused by deterioration of hydrocarbon resource base both in quality and quantity. The positive dynamics of reproduction is a basis for sustainable long-term operation of oil and gas sector and social-economic development of resource producing regions. Due to the lack of direct functional dependence in the process the research methods that would allow revealing negative factors and trends are required at all reproduction stages of investment cycle. These factors have resulted from changes taking place in hydrocarbon market and government control in subsurface use. The aim of the research is the comparative assessment of reproduction effectiveness in resource producing regions taking into account economic-mathematical models based on the nonparametric statistical techniques. Object: raw mineral base of resource producing regions of the Russian Federation. Methods: regression, Malmquist Productivity Index. Results. The paper presents characteristics of general trends in resource and oil reserve reproduction in Russia reflecting qualitative and quantitative characteristics of oil resource base. The research methods based on developing dynamic effectiveness is considered. It demonstrates the tendency of subsurface use entities' response to the changes in macroeconomic environment as well as in the subsurface use sector in terms of tax incentives. Block model of investment cycle combined with the following blocks - geological-engineering, production, management-industrial, social-economic, budget, tax - is the technological tool of assessing reproduction at all stages of investment cycle. It allows us to show the interaction of all key indicators in petroleum industry development. Modelling makes it possible to reveal an investment destabilizer in the form of combined effect of management-economic mechanism in subsurface use in terms of tax incentives and price parameters in the oil world market. In this context, the most intensive effect is observed in Tomsk region.
|Журнал||Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering|
|Состояние||Опубликовано - 2019|
|Опубликовано для внешнего пользования||Да|