АНАЛИЗ И ОЦЕНКА КОНКУРЕНТОСПОСОБНОСТИ ЭКОНОМИКИ РА Текст научной статьи по специальности «Экономика и бизнес»

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7 Sbu << mqqmjÇû iÇâmïmqpmïmû ïmpbqÇpp-2017, bp., 2017, t2 88-89:

8 Sbu «ûimqmqnLjû mùumïmû m2ËwïmimpâÇ ùmuÇû» << opbûpQ. http://parliament.am /drafts.php?sel=showdraft&DraftID=5723&Reading=0

ûuqpuùp ^bmp t qÇmnLpjuû ípu hÇùû^uô umшpmшфûbpQ qupqugûÇ nL ÏJuûpÇ 1пф' qÇmumupnqnLÙulûbpÇ hшúшp ûnpupuluû tlnhuúuplupq umbqób[ní, йщшит^пЦ qÇmnLpjuû upUmpujûugùuûp mbqujÇû U huüuß-ËuphujÇû qÇmuluû, Çûdbûbpuluû nL qnpóшpшp huûpnLpjuû ûbprndÇ oqmuqnpóúuúp9:

UqjnLüul 3

Uupqlujpú rcbümpüúbpp búpiupuidpúúbpp

ÎppnLpjnLÙ 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

buËuq^pnguïuù hÇùûuplûbp hu¿u^nq bpb[uuûbpÇ pÇi 2. со ^ro^CN^i-COCN COCOLOt-r^ ТюТюсоосогогоооою

<uùpuïppul|uû q^pngûbpÇ U2UÏbprnùbpÇ pÇi .4- -2.7 -2.1 -2.6 -7.3 -4.8 -5.3 -5.6 4.2 -4.6 -2.2 1.3 0.1 1.1

UÇgÇû ùuuùuqÇrnuluù munLùûuluû huurnurnnLpjnLÙûbpÇ muuûnqûbpÇ pÇi 8. LO -2 1.1 0.1 1 2.1 -5.7 -2.2 0.3 2.8 -5.4 -14.7 -4.6 -0.6

PupâpuqnLjù nLunLùùuluù huumu-imnLpjnLÙûbpÇ muuûnqûbpÇ pÇi 5. СО 9.5 14.9 8.6 6 4.2 1.9 -0.9 -1.9 -4.3 -1.4 -6.7 2.6 -2.2

Uß^umuQupö U úu|uümúbp

0bl U2ËuinqÇ ùÇçÇù uùuuluû uß^umuiupä (uùiuùuluù) 27.3 24.9 19.8 19.7 19.2 17.8 9.9 6.9 5.3 4.7 4.1 8.2 8.2 1.6

0bl U2ËuinqÇ ùÇçÇù uùuuluû uß^umuiupä (Çpuluû) 21.6 16.7 19.1 16.3 14.1 8 6.2 -1.2 -2.2 2 -1.6 5.1 4.4 3

Ubüuupnßulh Çpuluû uùuuluù ùÇçÇù ¿шф 33.2 18.6 10.9 11.3 16.8 67.7 14.1 10.5 -0.2 9.7 -1.9 23 12.9 -0.1

UÇgÇÙ uùuuluù uùiuùuluù uß^umuiupä' Qum imûujÇû mûrnbunLpjnLÙûbpÇ (n¿ ^bimuluû) .7 9.8 26.7 4.2 21.6 16.6 4.7 10 3.3 18.3 3.2 6.9 3.8

UÇgÇû uùuuluù uûiuûuluû uß^umuiupä' Qum imûujÇû mûrnbunLpjnLÙûbpÇ (^brnuluù) 40 16.6 26.1 13.2 18.3 16.9 2.4 5.8 3.3 36.5 5.5 8.9 9.5 -1.8

<uùu2ËuphujÇû puûlÇ mijuLûbpÇ huùuôujû' 2016 p. qpuûgib t 3,573 ûnp pÇqûbu, npp ûuËnpq mupíu huúbúumnLpjuúp 3.5%-ní t

(2015 p.' 3.556): Ünp pÇqûbuÇ umbqôùuû huúup Ën^Dûqnm t << huplujÇû qpnLJpш¿шфbpÇ pupôp LÇùbip:

UpimuqpnLpjujú Lup/jjnLÚuíbmnLpjnLÚ: 2017 p. qjnLqumûmbunLpjuû U ÔlûnpunLpjuû huùuËuéù upmuqpuûpÇ 0шЦшю, 2016-Ç mijuLûbpÇ hu-úbúumnLpjuúp, шй t upÔuùuqpbL10:

2016 p. huúbúumnLpjuúp upqjnLÙupbpnLpjnLÙû upôuûuqpb t 12.6% шй, npÇû ußu^bLU^bu ù^uumbL t üßulnq upqjnLÙupbpnLpjuû 15.7% шйр: 2017 p., Çpugùuû huúbúumnLpjuúp, u^bLugbL t ûuU upqjnLÙupbpuluû upmuqpuûpÇ upmuhuûnLÙp:

ûnpupupnLpjuû ninpmÇ qupqugùuû U ûnpupupuluû mbËûnLnqÇu-ûbpÇ umbqôùuû ¿uùu^uphÇù luû puqùupÇi hÇùûuËûqÇpûbp: 0ÇUûnLjû duùuûul, bpïpÇ mùmbunLpjnLÛQ qb^Ç ujq ¿uùu^uphp úqbLáL ùbç ßuhu-qpqß^uö ïnqùbpÇ qnpônqnLpjnLÙûbpp ^bmp t pËbû bplpnLÚ qÇmumbËûn-

9 Sb'u << ui|ijnLRùÇ ùuËupupnLpjuù Ïujù. http://www.mindiaspora.am/res/Hamajoxovner/2017/6/ Eluytner/24/Artur_Alaverdyan.pdf t2 1(7), 01.11.2018:

10 Sb'u << uqqujÇù iÇôuluqpuluû rnupbqÇpp. https://www.armstat.am/file/article/sv_12_17a_ 122.pdf, 01.11.2018:

[nqfuluû U ûnpupupuluû qnpônLÛbnLpjuû íf^ulfg U hfùû^bû opbûurçpu-luû, lupquinpnrç U ôpuqpujfû фшumшp^pbpní uuhúuúíuó míjui ninpmûbpf qupqugùuû pfpuËujfû û^umulûbpf nL Ëûrçfpûbpf ípu: QfmumbËûfluluû U ûnpupupuluû qupqugùuû pûuquiupûbpf ÛLÛULÎnpnLÙQ 2005-2015 pp. ¿Ç qbpuquûgb[ <ÜU 0.25%-q, Çû^q, újnLU bptpûbpf huúbúumnLpjuúp, guôp iupluüfß t (U0Ü' 2.79%, Öu^nüfu' 3.28%, hRiuûrçfu' 1.51%, ПО' 1.13%)11:

UnjáLÜLt 4

ÎLéL^LpÙLÛ Lp^jnLÛL^bmnLpjLÛ bÚpUpudfÚÚbpQ

ObaúL ЩШ, upttLutnfpuJttuj Ú Й S ¡0 S s S ?4 8

UltUU^UtUUbUUf ÜlUBjlUÚ § "Ni § "Ni § "Ni S "Ni § g § ^— Ü H n Ü н

Ünp pfqûbuf urnbrçônLÙ <N oj oj oj 05 СО со СО Ю <N Ю <N CD <N со со c\i со Ю СО Ю СО

U2ËLïn^Ûbpf hUÚUp

í¿Lpín^ hLptbp U СЗ^-^СЧСЧч-СОСа о c\i со со c\i

rnmppbp 6 6 6 6 6 6 5 5 6 6 6 6 6 6 '

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Sbrçul|uû upmurçpnrç-Ûbpf pfí CM CNJ ^fr OÍ 05 .0- c^ о со .6- CD c^ o CM c^ 3-

Sbrçul|uû upmurçpnrç-Ûbpf npul| 05 о 05 О CNJ ^ CD 05 .0- IÍ5 .3- LO со .5- .4- со .5- m со со

0pgulgujfû URUÍb[nLpjUÚ pÛnLjp 2. ^fr <N 31.6 C^ 38.4 ^fr o CD .3- c^ о .6-

Uprnurçpul|uû qnpÔQû-

pugûbpf l|umupb[u-qnpóíuónLpjnLÚ 3. <N 5. 2 T .2 LO .3 со .2 3 4. m IÍ5 со 0. 5. CD 1 3

hpUÎUUnLpjnLÛÛbpQ

[fuqnpb[áL ^urnpuu-UIUl|UÚnLpjnLÚ 05 05 .0- Ю .3- 5 - ^fr .2- 4. 4. C£) 8. о 05 c^ 05

Ufçuqqujfû pu2Ëùuû

úl|urnúuúp íbpuhuln-rçmpjnLÛ 4. .2- ^fr ^fr CD 8. 3. 6. ' 05 ei C\l .3 OÍ c^ OÍ 3

bnpUÙnLânLpjnLÛÛbp ■

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Qfmuhbmuqnrnul|uû ÇûumfmnLmûbpf npul| 3. <N CM CNJ Ю Lt^ c^ <N co

<bmuqnmnLpjnLÛûbpf U

qupqugùuû (R&D)

ú^umul|ní QÛlbpnL-pjnLÛÛbpf óu^ubp oi 4. со <N о 2. О О 2. 05 c^ 3. 4. o 5. 2. 4.

Qfrnûul|uûûbpf U

fûdbûbpûbpf uélujnLpjnLÛ oi 2. 3. cnj ^fr CM 2. 2. 2. ^^ 6. 2.

âumbûmûbpf puûul| 2. CM СО CM c^ C\l c^ c^ c^ c^

2017 pîlïlûÇû úbp bptpnLÚ fpuluüugib t 415,87 ù[prç << rçpuùf 2fÛLpLpnLpjnLÛ: ÛLËnprç ïLpÎL hUÚU^pb[f dLÙLÛLÏLhLïÎLÔÇ huúb-úumnLpjuúp gnLgLüfßü t 2.2%-пЦ: PjnLçbf ùfçngûbpni lurnupíb t

11 Sb'u World Bank Group, http://wdi.worldbank.Org/table/5.13, 01.11.2018:

2ÇûшpшpnLpJШû hшúшËШRû 0шЦшф 9.3%-Q: ÜÇ2шqqшJÇû ^p^bpÇ hш2ÍÇû Çpшïшûшgíbl t 2Ç'шpшpnLpJШÛ QÛqhшûnLp 0шЦшф 17.8%-q12:

2017 p. <ÜU 51.9%-q ^qúb[ t «UßUmrnp U óшßШJnLpJnLÛûbp» Ь'рш-ршф'о, ''¿q ûшËnpq mшpíш ûnLjû dшúшûшlшhшmíшóÇ hшúbúшmnL-р|шйр t 10.5%-ní13:

Ц^ПШШ^ 5

Upu^ipnL^ú шпqjпlûш4bmпlpjшû búpшpшфúúbpp

QJnLПШlлúlлbunL- H П is § § Й s о Sä 5 S to

PjnLÚ шМ la ■a & s &

8. .0 2 со со 2 со аз LO .5 - 5. - c\i СО со со О) о со о CM o .4 LO .7 - CO -

и'ши'шщшЬ|т-pjnLû -20.6 21.5 CO .6- G> .2- LO .2 CO .8 со .7- G> 34.8 CN .6 со 2.06 CO .0-

UpijnLÛШpbpnL-PinLÛ_

^û^qnpôui^û ШpijnLÛШpbpnL-pjnLÚ U ршд Ь|ш'£Ь-pÇ 2ШhшqnpónLÚ шpijnLÛш-pbpnLpjnLÛ 25.3 11.9 19.2 10.5 -0.6 -4.6 9.9 6.2 3. СО CM 0.6 -0.2 -8.9 10.7 14.7 24.3 17.6 12.4 5.9 14.9 co со 5.8 -7.6 -4.1 46.9 3.7 8.6

t^blmpшlшûnL-р|ш', qшqÇ, qn[np-2áL U ^шЦnpшl 0|Ç úшmшl|шpшpnLÚ 3. 9. .9 7. .0 2. .2- 7. со со .3 3. .0 23.4 3. 4. со 3. o 2. со 3. CO

Spшúшmшl|шpш- páLÚ, l|njnLrçÇ, рШ- фnûûbpÇ !шпш-ЦшpnLÚ U Цbpш-¿¡2ш1|тй 8. .2 -24.2 7 6. .7 3. 5. .6- 7. co_ 2. 4. cd 2. có 9. .0 3. CO

Pшpâp mb^'n[n- qÇ^ûbpÇ ûbpipnLÙûbp 4. 2. 0.69 со 0. 0.87 4. oí 8. 5. <N 6. oí 8. <N 7. <N 2. LO 9. LO

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UßUrnmp U 0шпш-inLpinLÛ'bp

0шûpшóшË шßUmpÇ 2P2ШÛШßnLpJnLÛ 9. LO 5. r^ LO .0 0 4. о 3. О CM 4. oí 8. o .0- со .2 CO .2-

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UЦmnúbùbûшûbpÇ шpmшipnLpJnLÛ .0 аз LO со 39.6 39.4 со -49.3 CO LO CN СО O) со со .9- 22.5

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12 Sb'u << шqqшjÇû ЦÇ¿шl|шqpшl|шû u^pbqÇpp. https://www.armstat.am/file/article/sv_12_17a 123.pdf, 01.11.2018:

13 Sb'u << шqqшjÇû ЦÇ¿шl|шqpшl|шû u^pbq'pp. https://www.armstat.am/file/article/sv_01 18a_112.pdf, 01.11.2018:

iruMPnsbSbuuQbsni-raeni-b 115

ЪbpïшJшgíшó шqJnLUшïûbpnLÚ oqmшqnpóíbl bù <шúш2ËшphшJ|ù pшùï|, <шúш2ËшphшJÇû mùmbuшïшù $npnLÚ|, JbùbçùbùpÇ qшpqшgúшù шqqшJ|ù h|úùшqpшú|, 4bpшïшRnLgúшù U qшpqшgúшù bípnщшïшù pшùï| U шл úÇ2шqqшJÇû ^RnLjgùbpÇ |nqú|g hpшщшpшïíшó << mùmbunLpJШùQ íbpшpbpnq gnLgшûÇ2ÚbpQ:

^•ш}^ úpgnLÛшïnLpJшû hшúшqpblÇ gnLgшù|2D hш2ÍшpïínLÚ t hbmUJШl |bp^.

USU = Wi Y;=1mijSUj + W2 Z%m2jSSj + W3 Y^msPèj +

W4 YhmîU+W5Y;=1mS]uUj npmbq' USU-ù bp|p| шqqшJ|ù mùmbunLpJШù úpgnLÙшïnLpJШù

gnLgшû|^2Ú t,

Wrù ' i-bpnpq gnLgшù|2l qùшhшmшïшÙQ (i=1,2,3,4,5),

m¡j-ú' j-bpnpq bùpшgnLgшù|2l qùшhшmшïшùQ (j=1,2,3...nj),

SU-ù' тО^иш^й шpqJnLÛшíbmnLpJШû j-bpnpq bùpшgnLgшù|2l

umшùqшpmшgíшó hшùpшqnLÚшpQ, SÊ-ù' rnb^ùninq^jÇ qшpqшgшónLpJШù j-bpnpq bùpшgnLgшù|2l

umшûqшpmшgíшó hшùpшqnLÚшpQ, 0è-ù' i^pq^jÇù ébunLpuùbpÇ j-bpnpq bùpшgnLgшù|2l umшùqшp-

шш0ЦШ0 hшйpшqnLÚшpQ, îU-ù' ^^^p^ù шpqJnLÙшíbmnLpJШù j-bpnpq bùpшgnLgшù|2l

umшùqшpmшgíшó hшùpшqnLÚшpQ, UU-ù' шpmшqpnLpJШù шpqJnLÙшíbmnLpJШù j-bpnpq bùpшgnLgш-ÙÇ2Ç umшùqшpmшgíшó hшйpшqnLÚшpQ: 2003-2016 pp. «UqqшJÇù mùmbunLpJШù úpgnLÙшïnLpJnLÙ» hшúшp|ÍQ ùbpïшJшgíшó t hbmUJШl шqJnLUШïnLÚ.

Uq|nluшï 6

UqqшJ|^ú rnùmbunipjLuù úpgnlúшL^nlpJШÚ hшúшp|^Цß 2003-2016 pp.

US0 2003 8.1

US0 2004 1.2

US0 2005 3.3

US0 2006 13

US0 2007 6.6

US0 2008 7.4

US0 2009 2.2

US0 2010 1.8

US0 2011 4.1

US0 2012 3.9

US0 2013 0.8

US0 2014 0.3

US0 2015 0.7

US0 2016 0.8

hù^bu hшJmù| t, np^ù pшpôp t úpgnLÙшïnLpJШù gnLgшù|2D, ШJùpшù pшpôp t pйшL|¿nLpJшй ïbùuшúшïшpqшÏQ, hbmUшpшp' pшpôp t iÇùnLÙ úb| 2ù^| hш2íní <ûU-ù: Ujq |u| щшшйшрпЦ hbmшqnmíbl t US0-Ç U úb| 2ù^| hш2íní <ÜU-| ù|çU ébqpbuÇnù

116 PUbPbP =|ilSi 2019.1

Uunww^ 7

HbqpbufinO ibpiniinipjiuQ LupijjniCigiibpi]

Dependent Variable: GDP Method: Least Squares Date: 05/22/18 Time: 22:33 Sample: 2003 2016

Included observations: 14 Variable C ATM

coeiiiciem 1.70086 1.066198 Std. Elioi L-Siaiisiic 0.64148 2.643904 0.502264 2.122783 Piob. 0.0018 0.0003

R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood 0.473001 ft A A OA 'I Q Mean depende nt var S.D. dependent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. 5.828571

0.4 124 18 6.689525 KQA nnCfi 7 .537 846 6.770526 A QC-I QQ

536.9969 -45.39368 6.86 182 6.762075

F-statistic 45.06208 Durbin-Watson stat 1.968239

Prob (F-statistic) 0.000261

UnLjO Rbqpbu^wj^ d^2ngn[ ^np6b[ bOp pwgwhwjmb[ US0 hwdwp[^ L <"bU w^ mbd^ ^n^wRO^nLpjnLOp: h"b^bu [^wjrnd bO [bp[nL6nLpjwO wpnjnLOpObpQ, US0-O mO^ qqw[^ wqibgmpjnLO: <bU w^ mbd^ US0 d^w[np ^n^n^nLpjnLOp hwOqbgOmd t <"bU w^ mbd^|i db^ mn^nu ^n^n-^nLpjwOp: Opw dwu^O bO [^wjrnd t [^¿w^wqpnLpjwO w^jmuw^wj^O ^p^m^-^w^wOObp^g db6 wpdbpObpp, ^O^bu OwL O2wOw^w[^nLpjwO ^npp wum^-¿wOq: Obmbpd^Owg^wj^ qnp6w^gO wjumb^ 0.47 t, npQ Lu, ^wp6md bOp, wju ib^prnd qqw[^ t:

Rbqpbu^nO i[bp[nLdnLpjwO wpurnOp^ h^dwO [pw ^wpb[^ t bqpw^wg-Ob[, np wRw2wp^[w6 dn|b[Q ^wpn^ t oqmwqnp6[b[ db^ 2O^h hw2[n[ <"bU-O ^wO^wmbub[nL O^wmw^n[, hbmLwpwp OwL' mOmbuw^wO w^ ^wO^wmbumdObprnd: UpnjnLOpObp^g bpLnLd t, np 2008 p. ^ [bp US0 gnL-gwO^2D O[wqdwO hw^rnd mO^: Ow [^wjrnd t wjO dwu^O, np <<-O ^npgOrnd t ^p dpgw^gwj^O ihpPQ hwdw2^wphwj^O 2nL^wjnLd:

<<-nLd ^bmp t [wpb[ O^wmw^wj^O L hwugbw^wO pw^wpw^wOnL-pjnLO' d^m[w6 ^bmw^wO L dwuOw[np hwm[w6Obp^ 2wOpbp^ hwdw-^dpdwdp wqqwj^O mOmbunLpjwO dpgnLOw^nLpjwO wum^wO^ pwpdpwg-dwOp: 4bpnO2jw[ wRw2wp^nLpjwO h^dOw[npnLdO wjO t, np mOmbunLpjwO dpgnLOw^nLpjwO dw^wpiw^ pwpdpwgmdO wOhOwp t wRwOg ^bmmpjwO d^wdmmpjwO: bbp^wjnLdu ¿^w d^ bp^p, npmb^ ^bmnLpjnLOp ¿d^wdm^ mOmbunLpjwO qwpqwgdwOp L' 2nL^wjw^wO, L' ung^w[w^wO hw-pwpbpnLpjnLOObp^ n[npmObpnLd: SOmbunLpjwO dpgnLOw^nLpjwO 2wpnLOw^w-^wO w^Q ^bmp t w^whn[[^ ^bmmpjwO d2mw^wO [bpwhu^n^nLpjwO L hwdw^wmwu^wO dpgw^gwj^O pw^wpw^wOnLpjwO ^pw^wOwgdwO d^2n-gn[' O^wumb[n[ 2nL^wObpnLd dpgw^gmpjwO mwpwidwOQ, pwpbO^wum dpgw^gwj^O d^2w[wjp^ 6Lw[npdwOp, dbOw2OnphObp^ ^wO^dwOp, pn[np mOmbuw[wpn^ umpjb^mObp^ hwdwp hw[wuwp dpgw^gwj^O ^wjdwOObp^ w^whn[dwOp: << mOmbunLpjwO dpgnLOw^nLpjwO wum^wO^ pwpdpwgdwO hwdwp ^wpLnp Ow^w|pjw[ t ObpipnLdObp^ 6w[w[Obp^ w[b[wgnLdp: £wO^ np Obpp^O ObpipnLdObp^ w^pjmpObpQ uwhdwOw^w^ bO, mum^ 2b2mQ ^bmp t |Ob[ omwpbp^pjw ObpipnLdObp^ Obpqpw[dwO [pw: bbpipnLdObpp hOwpw[np R^u^bp^g w^whn[wqpb[nL O^wmw^n[ wOhpwdb2m t umb^6b[

iruMnnsbSbuuQhsni-raeni-b 117

d|2mqqmj|O ¿m^mO|2Obp|O hmdm^mmmu^mD m^mhn^mqpm^mO hmdm-^mpq, ObpqpnLdObpp ^mpqm^npnq opbOuqpm^mO qm2mp qmp6Ob[ ^mO^m-mbub[| L ^mjrnO, mib[mgOb[ hmp^mj|O L dmgumj|O mpmnOmpjnLOObpp, ObpqpnLdObpO nLqqb[ mbqb^mm^m^mO mb^On[nq|mObp|, OnpmpmpmpjmO-Obp| L OnpmdnLdnLpjnLOObp|, |O^bu OmL mpmmhmOdmO ObpnLd nLObgnq n[npmObp| $|OmOuminpdmOp, mpqjnLOgnLd ^m^bO bp^p| mOmbum^mO qmpqmgdmO hOmpminpmpjnLOObpp:

Oqmwqnp6iw6 qpw^wOni.pjni.G

1. « mqqmj|O i|iml|mqpml|mO mmpbqfipp - 2017, °p., 2017:

2. « mqqmj|O i|iml|mqpml|mO mmpbqfipp. https://www.armstat.am/file/article/sv_12_17a_ 3.pdf, 01.11.2018:

3. « $|OmOuObp| Om^impmpnLpjmO mmpbL|mO hm2ibminLpjnLOObp. http://minfin.am/hy/page/tarekan_hashvetvutyunner/1 2017' 6-7 ¿2, 01.11.2018:

4. «"biwqwqnLjO m^um^mO m2^mmmimpd| Jmu|O» « opbOg. http://parliament.am/drafts.php?sel=showdraft&DraftID=5723& Reading=0:

5. « ui^ijnLigl Om^impmpmpjmO l|mjp. http://www.mindiaspora.am/res /Hamajoxovner/2017/6/Eluytner/24/Artur_Alaverdyan.pdf ¿2 1(7), 01.11.2018:

6. S<S n[npmQ <mjmummOnL^. qbl|nLjg, 3bi?Ompl|nLpjnLOObp| |Ol|nLpmmnp h|JOmqpmJ, °p., 2017:

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118 PUbPtn =|ilSi 2019.1

ДИАНА ГЕВОРГЯН

Аспирант кафедры макроэконамики АГЭУ

Анализ и оценка конкурентоспособности экономики РА.- В этой статье оценивается конкурентоспособность Армении с помощью новой модели, состоящей из пяти категорий. Был также проведен регрессионный анализ между индексом конкурентоспособности национальной экономики и темпами роста ВВП, и стало ясно, что КНЭ оказывает значительное влияние на темпы роста ВВП и может прогнозировать экономический рост.

Ключевые слова: конкурентоспособность национальной экономики, модель, экономическая эффективность, уровень технологического развития, человеческие ресурсы, эффективность управления и производства, регрессионный анализ. JEL: E50, E59, E61

DIANA GEVORGYAN

Post-graduate at the Chair of

Macroeconomics at ASUE

The Analizsis and Assessment of the Competitiveness of the RA Economy.- This article assesses Armenia's competitiveness through a new model consisting of five categories. A regression analysis has also been carried out between the National Economy Competitiveness Index and GDP growth rate, and it has become clear that the NCI has a significant impact on GDP growth rates and can predict economic growth.

words: national economy's competitiveness, model, economic efficiency, level of technological development, human resources, management and productivity efficiency regression analysis.

JEL: E50, E59, E61