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National Interests: Priorities and Security
 

Modeling underfunding risks of special-purpose programs in coordinate & time navigational support

Vol. 13, Iss. 5, MAY 2017

PDF  Article PDF Version

Received: 8 February 2017

Received in revised form: 26 February 2017

Accepted: 24 March 2017

Available online: 29 May 2017

Subject Heading: ECONOMIC POLICY OF THE STATE

JEL Classification: C21, C46, H59, G32

Pages: 871-884

https://doi.org/10.24891/ni.13.5.871

Ispiryan A.V. Tsentr Central Research and Development Institute for Shipbuilding, Moscow, Russian Federation
ani.ispiryan@mail.ru

Lysenko V.V. Tsentr Central Research and Development Institute for Shipbuilding, Moscow, Russian Federation
vlysenko@cniicentr.ru

Importance The article discusses the development of methodological approaches to assessing financial risk exposure of federal special-purpose and governmental programs of the Russian Federation.
Objectives We devise tools for budgetary planning and public administration of risks using contemporary economic and mathematical methods.
Methods The research relies upon methods for probability modeling and economic assessment of risks. This article suggest evaluating the underfunding risk using the Value-at-Risk methodology. We evaluate budgetary and extrabudgetary finance.
Results We propose our method for assessing the exposure of federal special-purpose and governmental programs to the risk that they are underfunded from budgetary and extrabudgetary sources. The method is based on contemporary understanding of budgetary planning and uses new techniques to derive managerial information from information on the implementation of governmental programs. The proposed need to be further elaborated so to ensure the higher quality of assessment.
Conclusions and Relevance Performance-based budgeting principles require to use new tools for the State policy, budgetary expenditure planning and result forecasting. The proposed method of risk assessment may be effectively applied as one of the modern tools of the budgetary process. The findings may prove helpful for higher efficiency of budgetary planning as part of federal special-purpose and governmental programs.

Keywords: program, underfunding risk, mathematical method, economics

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