Trade Flow Estimation Between Russia and European Union Countries per Agricultural Commodity Group

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F20%3A82176" target="_blank" >RIV/60460709:41110/20:82176 - isvavai.cz</a>

Výsledek na webu

<a href="https://digilib.uhk.cz/bitstream/handle/20.500.12603/240/Kontsevaya%2c%20Smutka%20aj..pdf?sequence=1&isAllowed=y" target="_blank" >https://digilib.uhk.cz/bitstream/handle/20.500.12603/240/Kontsevaya%2c%20Smutka%20aj..pdf?sequence=1&isAllowed=y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.36689/uhk/hed/2020-01-040" target="_blank" >10.36689/uhk/hed/2020-01-040</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Trade Flow Estimation Between Russia and European Union Countries per Agricultural Commodity Group

Popis výsledku v původním jazyce

All countries in the world are involved into international trade so it is crucially to understand economical patterns of interrelations between countries. This research is aimed to estimate current condition of international agricultural trade between Russia and EU countries for the period of 2000 and 2017. Import and export trade flows were estimated with the gravity model for specific groups of products. Impact of such variables as gross domestic product (GDP), the distance between countries, common border, language and history on trade flow value was also estimated. Impact of Russian import ban was also studied in the article. Obtained results of 48 regressions were subdivided into 3 groups for import and 4 groups for export by means of the cluster analysis. The classical gravity model works for meat, fruits and cereals, and this fact can be proved by existence of dependency between distance and GDP of trade partners. However, influencing factors for other groups of products are common language an

Název v anglickém jazyce

Trade Flow Estimation Between Russia and European Union Countries per Agricultural Commodity Group

Popis výsledku anglicky

All countries in the world are involved into international trade so it is crucially to understand economical patterns of interrelations between countries. This research is aimed to estimate current condition of international agricultural trade between Russia and EU countries for the period of 2000 and 2017. Import and export trade flows were estimated with the gravity model for specific groups of products. Impact of such variables as gross domestic product (GDP), the distance between countries, common border, language and history on trade flow value was also estimated. Impact of Russian import ban was also studied in the article. Obtained results of 48 regressions were subdivided into 3 groups for import and 4 groups for export by means of the cluster analysis. The classical gravity model works for meat, fruits and cereals, and this fact can be proved by existence of dependency between distance and GDP of trade partners. However, influencing factors for other groups of products are common language an

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

HRADEC ECONOMIC DAYS 2020, VOL 10, PT 1 International Scientific Conference on Hradec Economic Days (HED)

ISBN

978-80-7435-776-3

ISSN

—

e-ISSN

2464-6067

Počet stran výsledku

8

Strana od-do

343-350

Název nakladatele

UNIV HRADEC KRALOVE, ROKITANSKEHO 62, HRADEC KRALOVE 3, 500 03, CZECH REPUBLIC

Místo vydání

UNIV HRADEC KRALOVE, ROKITANSKEHO 62, HRADEC KRA

Místo konání akce

UNIV HRADEC KRALOVE, ROKITANSKEHO 62, HRADEC KRA

Datum konání akce

2. 4. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000568108700038