Analysis of Regional Disparities in Agriculture Focusing on Economically Weak Regions of the Czech Republic
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Analysis of Regional Disparities in Agriculture Focusing on Economically Weak Regions of the Czech Republic
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
40101 - Agriculture
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientia Agriculturae Bohemica
ISSN
1211-3174
e-ISSN
1805-9430
Volume of the periodical
50
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
13
Pages from-to
141-153
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85053715040