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B wore ~ompeTmM pe3YJIbTaTOM MaPKeT-BbIX HC- 2' A a ~ ~ B'B, AP' 3mH0MuKa n ~ e m m ~ m : Yse6Hm* -M.: ((DIiETTHfi, 200 1 - c . 43 1 cne~o~aaklif. B O~JE~CTLI I7epCOHana I I B ~ T C I I O ~ L ~ K T I I B H ~ I ~ 3. Ynpmne~ae nepcoaarroM. 3mki~none~m cnoeapb no^ pen. n a m e , Hcnonb3YmIq;Uec~ ~ P H x-1a~1~3e B ~ I ~ O P ~ c ~ p a ~ e - A , ~ , K a 6 ~ o s a , -M.: ~ Q P A . ~ 2009. -VI. -. yj4c. rk~u M ~ P K ~ ~ H I ' O B O ~ A ~ ~ T ~ J Z ~ H O C T U 0 ~ r a - m B OGJI~CTH 4. k~mwa JI.O. P b r ~ o ~ TpyAa u ynpasneme renosesecKmu pe- nepcoama, c o ~ e p r n e ~ c ~ ~ y m m e 9 ~arrpo~ylo pa6ory. cypca~u.y~e6~m. -POCTOB ~ a a o ~ y : ((Qemc)), 2008,416~.

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H& IIO HX KOHKPeTHOMY COAePXaHHh3. - Hosampcme (innovative) ~ H ~ H W I MOW cTan OCHO-

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M O T U B ~ N I I CO3AaHMII3NZ-IlVl- CHCTeMa CTEiMynU&lYK)-

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5. Icneiiaep T.5. C~pa~erm npennpwTw. -M. : ki3~-~0 ((Aeno)) &ZA, 2008. 6. Kpoccp,, HopaaH., iiap~ep 3. Lliec~b MMQCB o se@op~anbmrx c a m a mi OrrpoBepxeme, B KMR K ~ K npeBpmmb 3HaHI1R B CTOM- M O C ~ : Perue~m m IBMInstitute for Business Value/Coc~a~mena: 3.JIeccep, JI.npyca~; [nep, c awn.]; M.: Amna~a 6~3Hec Ey~c, 2006. - C. 55 - 68 7. Mononqa~ M.A. Tpemep~m MOnenb MHTeJIJIeKT)'UbHOD3 no- TeHUMaJla (bll~Mb1// B~CTMK .%! 28,2009. - C. 21 1-214 8, HOH~K~H:, Tmeyrw X. KoMnasm - C03,ZWTe& 3HaHM. 3apox- neme a partame K H H O B F L ~ ~ B RnoHcKmi r$lip~ax / [nep. c a~rn.]; M.: 3A0 ctOnmn-5m~ec)), 2003. 9. Pwaes B.B. P~MOK K ~ K nepenneremie cowanbxr~~ ce~eR// Poc- c a i c ~ i WPHU MeHeme~~a . -TOM 6, N22,2008. - C. 47-54 10. C e m IT. M, DXTM nacuunnusa. ~ ~ C K ~ C C T B O u npaXTaKa o6y- raroueic8 opmx3aWa. -Onmn-6~lls~ec, O m n , 2009.

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1 1. THC ~ o J I J ' Y ~ H A ~ ~ K O H O M M Z ~ ~ C K O ~ BbIPXbI OT 3 ~ a H M f i KaK ahTiiEoE ' ( "^ ^" - ' : \ n v E ~ ahTiOXXKZ,>, PbIIiKii HOy-my 21 HCiriaTCyriiLnbWbIe W H B ~ I // [nep. c a~m.1; Poccutic~~R xyp~an MesmMewa. - iis 1,2004. -C,95-120. 12. Holsapple C.W., SinghM. TheKnowledgeChainModel: Activi- ties for Competitiveness// Handbook on Knowledge Management2, Springer Science & Business MediaB.V., 2005. P.215-25 1. 13.Kremp E., Mairesse J., Knowledge management in the manufacturing industry I/ Les 4 Pages des statistiques industrielles, SESSI, Ministere de l'Economie, des Finances et de l'Industrie, Paris, no. 169,2002. 14.Marr, B., D. Gray, A. Neely. Why Do Firms Measure their Intellectual Capital? 11 Joumal of Intellectual Capital N94,2003. P. 441-464 15. Rumelt R. P. How does industry matter? // Strategic Management Journal, Vo1.12,1991, P, 167-185

B nacmo~zy ee s p m npasumenbcmso npednpunmaem peulumenbnble ulazu no nosb~ute~um s@@e~musnocmunped- npwlmuii, do6b18amzytuc ~e@mb, za3, yzonb, YepHbze Meman- nbr. Ynpaene~ue zopnodo6bzaamzyux ~ o ~ n a n u i i ocylyecmm- emcs 3a cvem s~edpe~uzpav lur~ba sapua~moe ~anozosb~x uiwe~e~ui i npoyenmHbrx cmaso~ u dpzue~epbr noddepxuu. Am oyemu s @ @ e ~ m u ~ ~ o c m u Mep aocydapcmee~~oii nod- d e p x ~ u d06br~u none3Hb1x uc~onaeMbzx 6bmu uccned06anbl I 6 ~ e p , Komopbre npusede~bi 6 cmambe. ,@mpewe~m d a ~ - ~oiisadayu, acmmbenpdnoxena~odenb, Komopmmeem sud dqypoe~esofi modenu (uzpb~ mma~enb6epza). A a m m modenb uvloxeHa s demepmu~upoeannoii @ o p e , m.e, no- cnedcmsm d& cmsuiipe~1~1mopacvumammcs wsecm~bmu. Hccnedosa~ue nposodwrocb npu @u~a~coso i i noddepx~e PrH@ (npoemb~ JW 10-02-00001a uN9 09-02-00527~).

Currently, the Government has taken decisive steps to improve the efficiency of enterprises extracting oil, gas, coal, ferrous metals. Management of mining companies at the expense of introduction of various options for tax changes in interest rates and other support measures. To evaluate the effectiveness ofgovernment supportprocessing ofmining have been investigated 16 measures, which are listed in the article. To solve this problem, thepaperproposes a model that has the bi-level model (Stackelberg game). This model is described in deterministic form, ie consequences of actions the regulator are known. The study was conducted w ith financial support from RFH broject number 10-02-00001a andNo 09-02-00527a).

State influence, simulation, effectiveness, the time factor; discounting criteria, restrictions, eficiency, netpresent value, model of control inputs, the model ofproduction, Stackelberg game, mining miningcompanies, bi-level model, deterministic model.

Extraction of mineral resources is a major branch of the Russian economy. Currently, the Government has taken deci- sive steps to improve the eficiency ofenierprises exfracting ni!, gas, ma!, ferrn~us metzlls: The s01dy was cnnd~ucted with financial support ffom RFH (project number 10-02-00001a andNc 09-02-00527a). This study was conductedjointly with

Ph.D., Professor D.Krass (Joseph L. Rotman School of Mm- agement, University of Toronto). Management of mining companies at the expense of introducing various options for tax changes in interest rates and other support measures. To assess measures of state support processLg of polymetallic ores and ores ofnonferrous metals have been investigated 16 " measures of state support:

* Exemption fiom tax of profit used for investments in innovative equipment and new technologies in reducing the resource intensity of production; Legislative designation standards for energy efficiency in products and production processes as required in the field of technical regulation; Introduction lowering the tax rate 0.8 for subsoil users, offering non-waste production by recyclingthe mining of raw materials and provides a significant improvement of the ecological situation; Tighter norms of permissible emissions into the environment from smelters by 30%;

* Increased penalties for manufacturers, causing environmental damage by 20%; Reducing the tax rate to 0,3 in the implementation of production sharing agreements;

* Improving the conditions of insurance investment, innovation and financial risk upon the occurrence of insurance claims by 20%;

* Cancel duties on imported equipment for metallurgy, not produced in Russia;

* VAT exemption on imported tec'hnoiogicd equipment to Russia, not manufactured in Russia;

* Accelerating the development of science, high-tech metallurgical complex at 10%

* Differentiation of export duties on ferrous metals in accordance with the prices on the London Metal Exchange;

* Reduced rates of export customs duties on non-ferrous metals bv 20%:

* Increasiin expbrt markets by 10%; Reduction of unnecessary import ofthe mining production -. according to market fluctuations; Training of specialists at all levels in the steel mills by 20% ;

* Scaling up production by 10% of major steel consuming bdustries: Energy, defecse hdusw, r?l;tclear e~gheerhg, aviation, shipbuilding, automobiies, transport machinery. We consider a system consisting oftwo levels: a reguia-

tory body and the producer of a certain "product". While the model can, in principle, be adapted to a variety of industries,