AGRICULTURAL TRADE BETWEEN RUSSIA AND EU. IS IT POSSIBLE TO PREDICT A SITUATION?
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AGRICULTURAL TRADE BETWEEN RUSSIA AND EU. IS IT POSSIBLE TO PREDICT A SITUATION?
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
8
Pages from-to
151-158
Publisher name
CZECH UNIVERSITY LIFE SCIENCES PRAGUE, DEPT SYSTEMS ENG
Place of publication
CZECH UNIVERSITY LIFE SCIENCES PRAGUE
Event location
ČZU v Praze, Praha
Event date
Sep 13, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000417392400020