All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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

  • 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