Analysis of Regional Disparities in Agriculture Focusing on Economically Weak Regions of the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F19%3A78082" target="_blank" >RIV/60460709:41110/19:78082 - isvavai.cz</a>
Výsledek na webu
<a href="https://content.sciendo.com/view/journals/sab/50/2/article-p141.xml" target="_blank" >https://content.sciendo.com/view/journals/sab/50/2/article-p141.xml</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/sab-2019-0020" target="_blank" >10.2478/sab-2019-0020</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of Regional Disparities in Agriculture Focusing on Economically Weak Regions of the Czech Republic
Popis výsledku v původním jazyce
The objective of this study is to identify the regions of the Czech Republic with the economically noneffective agriculture industry. The methodology is based on an orginal approach as the economically weak regions are identified on the LAU 1 level, comparing to the existing studies using only NUTS III level. The input data describe the economic results of 6031 agricultural entities from 75 different regions LAU 1. The data covering the period between 2006 and 2014 were gained from the database Amadeus. The study deploys the methods of Principal Component Analysis, Kaiser Meier Olkin test, Bartletts test and hierarchical cluster analysis. The study determinates two key components: the Company Size and the Company Profit. These key components are used as the input variables for the cluster analysis. The cluster analysis identifies four clusters of regions from the agricultural entities economical results point of view. Subsequently the Standardized Variable Method is used to determinate the mutual ord
Název v anglickém jazyce
Analysis of Regional Disparities in Agriculture Focusing on Economically Weak Regions of the Czech Republic
Popis výsledku anglicky
The objective of this study is to identify the regions of the Czech Republic with the economically noneffective agriculture industry. The methodology is based on an orginal approach as the economically weak regions are identified on the LAU 1 level, comparing to the existing studies using only NUTS III level. The input data describe the economic results of 6031 agricultural entities from 75 different regions LAU 1. The data covering the period between 2006 and 2014 were gained from the database Amadeus. The study deploys the methods of Principal Component Analysis, Kaiser Meier Olkin test, Bartletts test and hierarchical cluster analysis. The study determinates two key components: the Company Size and the Company Profit. These key components are used as the input variables for the cluster analysis. The cluster analysis identifies four clusters of regions from the agricultural entities economical results point of view. Subsequently the Standardized Variable Method is used to determinate the mutual ord
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
40101 - Agriculture
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientia Agriculturae Bohemica
ISSN
1211-3174
e-ISSN
1805-9430
Svazek periodika
50
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
13
Strana od-do
141-153
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85053715040