диссертация (1169859), страница 14
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Les chiffres de la filière viti-vinicole Données statistiques 2003/2013.923510(3.4.1).,.:2013-::.(2010 .,2013 .,–20102013 .)CШЦTЫКНО..2010-2013,2,4.2013.,.,.236(2010 .,.4,21,80,81,93,23,62,91,4:2013 .)2013 .,.14631 4711 2202654115287CШЦTЫКНО..1,31,21,94,43,54,42,71,0,2010 ..,92171601792446271863932013 .:P2010P2010–= P2010*I2013/2010,2010 .P2010 –2013 .;2010 .;I2013/2010 –2010-2013.,:I2013/2010= I2013/2012* I2012/2011* I2011/2010CШЦTЫКНО,: I2013/2012 = 1,029; I2012/2011 =1,016; I2011/2010 = 1,014.249, I2013/2010 = 1,029*1,016*1,014 = 1,06.249URL: http://bhom.ru/inflation/usa/?startdate=3years&graphon=yes (Д: 20.10.2015).Ж//23711:.URL: http://www.holidaym.ru/mel/france/france-vip-vina.php (Д07.09.2015).Ж23812.: E&J Gallo, The Wine Group,CШЧЬЭОХХКЭТШЧ BЫКЧНЬ,.2012 .49,9%.250E&J Gallo* ––.–90960(251(2014 .).),,.,,,,.– 45.: CКЫХШ RШЬЬТ, BКЫОПШШЭ, LТЯТЧРЬЭШЧCОХХКЫЬ, LШЮТЬ MКЫЭТЧТ.,.
E&J Gallo.600Constellation brands**(2014 .)..– 118, 60%.: RШЛОЫЭ MШЧНКЯТ, RКЯОЧЬаШШН,SТЦТ, FЫКЧМТЬМКЧ EЬЭКЭО, KТЦ CЫКаПШЫН.,Constellation brands,,,.,.100250.Gibb R. Brand is king in North America [Electronic resource]/ R. Gibb// Wine Searcher. 13 Jul. 2013.URL: http://www.wine-searcher.com/m/2013/07/wine-giants-monopolize-american-market (: 06.12.2015).*: URL: http://gallo.com (: 05.12.2015).251: TOP 30 U.S. wine companies by case production2014.
[Electronic resource] URL: http://people.emich.edu/jthornton/text-files/econ379_top_30_wine_companies_2014.pdf (:05.12.2015).**: URL: http://www.cbrands.com (: 05.12.2015).239.,..The Wine Group* –,.69019.(2014 .)..:Franzia, Cupcake, Almaden, Big House, ConcКЧЧШЧ. TСО АТЧО GЫШЮp,,.BКР-in-ЛШб..,TСО АТЧО GЫШЮp,Constellation brands..*: URL: http://thewinegroup.com (: 05.12.2015).24013Pinot Noir(AOC)Chardonnay (AVA): Mäkelä N.
Global Wine Market in the Hands of the Millennials. - How France lost itspredominance. 2013. [Electronic resource]/ N. Mäkelä/ URL: https://www.theseus.fi/bitstream/handle/10024/63835/Niina%20Makela.pdf?sequence=1 (: 03.10.2015).24114Oenos ThessalonikiVignerons indépendantsLyonSalon Vins et TerroirsToulouseSalon des Vins ReimsSalon des Vins ParisVignerons indépendants ParisVinitech BordeauxVinisud PérolsVinexpo BordeauxVins de LoireIsrawinexpo Tel AvivAutochtona BolzanoSimei MilanVinitaly VeronaEnolitech VeronaEnologicaVitigno ItaliaWines and spiritsEtho Belgrade,Vino LjubljanaSalon del vino IberwineAnfas Bevex Antalya: Capone R.Trade and logistics: the case of the wine industry/ R. Capone and others//MEDITERRA 2014: Logistics and Agro-Food Trade.
A Challenge for the Mediterranean Presses desciences.- 2014.- P.245-262.24215,,.,2013 .37%.X (49%).«» – 31%,-Y – 20%..,,.,.,Capitals,2013 .Great wine,-,(42%),(41%)(27%)..(79%).:1515-25(67%(29%)),(21%)..252CСсЭОКЮ HКЮЭ BКТХХв,(252Narby W. Is Wine Tourism changing the face of Bordeaux? [Electronic resource]/ W. Narby// Insidertasting. Sept.2015 URL: http://www.insidertasting.com/blog/2015/09/25/is-wine-tourism-changing-theface-of-bordeaux/ (: 09.10.2015).243,,).253:,Château Smith Haut-LКППТЭЭО,,*;-,CСсЭОКЮ Н’AЫЬКМ,;LК АТЧОЫв,,;BОЫЧКЫНMКРЫОг,.254,Great Wine Capitals,,,(39%).,.255,,,.:(35%),(33%)(32%)..,-,.253ChateauHautBailly.[Electronicresource]URL:http://www.chateau-hautbailly.com/fr/content/réceptions (: 09.10.2015).*–.254Holohan W.
The Impact of Eco-Friendly Attributes on Bordeaux Wine Tourism and Direct toConsumer Sales [Electronic resource]/ W. Holohan, H. Remaud // 8th AWBR International Conference.June2014.URL:http://academyofwinebusiness.com/wp-content/uploads/2014/07/SUS06_Holohan_Wendy.pdf (: 18.08.2015).255Faugère . The Impact of Tourism Strategies and Regional Factors on Wine Tourism Performance:Bordeaux vs. Mendoza, Mainz, Florence, Porto and Cape Town. [Electronic resource]/ . Faugère andothers// Jan 2013. URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2201563 (: 09.10.2015).2442013 .,256,..-:,-..-,.,.,«VТРЧШЛХОЬ &Découvertes».,,,().,,«» («Best of Wine Tourism»),.,,,.12.: Holohan W. The Impact of Eco-Friendly Attributes on Bordeaux Wine Tourism andDirect to Consumer Sales.25624516257Microsoft Excel,IBM SPSS Statistics.1995 –2014.,:, .-.,–,:,,x1 , %;x2 -15-49;x3 -50-59;x4 -60-7475x5 -, 1000x6 -;;;x7 ,;,x8 -,.;, %;x9 -;x10 -, %;x11 -, %.x12 ,.257.
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Juillet 2014 [Electronic resource]URL:http://www.franceagrimer.fr/content/download/38277/352561/file/stratégie%20vin%202025%20-%20Plan%20stratégique%20%20vs%20160714.pdf (: 19.09.2015).--252.