AGRICULTURAL TRADE BETWEEN RUSSIA AND EU. IS IT POSSIBLE TO PREDICT A SITUATION?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A75664" target="_blank" >RIV/60460709:41110/17:75664 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
AGRICULTURAL TRADE BETWEEN RUSSIA AND EU. IS IT POSSIBLE TO PREDICT A SITUATION?
Popis výsledku v původním jazyce
Russia is a significant trade partner for EU countries and agricultural trade is very important part of this partnership. Agricultural trade is influenced by some economical and political factors. This paper presents gravity model identifying dependence of volume of 24 importedexported products from GDP EU, GDP RU with regard to distance between capitals of EU countries and Russia, common border, related language, common history, and availability of sea ports. The research includes the dataset with data about export and import of agricultural products (24 types of products) with each of 28 countries of EU for 16 years. Data source is UnComtrade database. Researched period is 2000-2015. Linear regression analysis was used to make predictions. Analysis of export trade flow from EU countries to Russia revealed 3 groups of products proved to be the most consistent by linear regression models: dairy products, eggs, honey, edible animal products, beverages, spirits and vinegar, meat and edible meat offal.
Název v anglickém jazyce
AGRICULTURAL TRADE BETWEEN RUSSIA AND EU. IS IT POSSIBLE TO PREDICT A SITUATION?
Popis výsledku anglicky
Russia is a significant trade partner for EU countries and agricultural trade is very important part of this partnership. Agricultural trade is influenced by some economical and political factors. This paper presents gravity model identifying dependence of volume of 24 importedexported products from GDP EU, GDP RU with regard to distance between capitals of EU countries and Russia, common border, related language, common history, and availability of sea ports. The research includes the dataset with data about export and import of agricultural products (24 types of products) with each of 28 countries of EU for 16 years. Data source is UnComtrade database. Researched period is 2000-2015. Linear regression analysis was used to make predictions. Analysis of export trade flow from EU countries to Russia revealed 3 groups of products proved to be the most consistent by linear regression models: dairy products, eggs, honey, edible animal products, beverages, spirits and vinegar, meat and edible meat offal.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
AGRARIAN PERSPECTIVES XXVI: COMPETITIVENESS OF EUROPEAN AGRICULTURE AND FOOD SECTORS Book Series: Agrarian Perspectives Series
ISBN
978-80-213-2787-0
ISSN
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e-ISSN
2464-4781
Počet stran výsledku
8
Strana od-do
151-158
Název nakladatele
CZECH UNIVERSITY LIFE SCIENCES PRAGUE, DEPT SYSTEMS ENG
Místo vydání
CZECH UNIVERSITY LIFE SCIENCES PRAGUE
Místo konání akce
ČZU v Praze, Praha
Datum konání akce
13. 9. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000417392400020