Detection Of Firms´ Clustering By Local Scaling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F20%3A43901117" target="_blank" >RIV/60076658:12510/20:43901117 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/profile/Francisco_Diniz3/publication/342053105_DOES_BUSINESS_GEOGRAPHICAL_ACTING_AREAS_IMPACT_ON_INTRAPRENEURSHIP_AND_SUSTAINABILITY_STRATEGIES/links/5ee00d8b299bf1d20bdeaef1/DOES-BUSINESS-GEOGRAPHICAL-ACTING-AREAS-IMPACT-ON-INTRAPRENEURSHIP-AND-SUSTAINABILITY-STRATEGIES.pdf#page=117" target="_blank" >https://www.researchgate.net/profile/Francisco_Diniz3/publication/342053105_DOES_BUSINESS_GEOGRAPHICAL_ACTING_AREAS_IMPACT_ON_INTRAPRENEURSHIP_AND_SUSTAINABILITY_STRATEGIES/links/5ee00d8b299bf1d20bdeaef1/DOES-BUSINESS-GEOGRAPHICAL-ACTING-AREAS-IMPACT-ON-INTRAPRENEURSHIP-AND-SUSTAINABILITY-STRATEGIES.pdf#page=117</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection Of Firms´ Clustering By Local Scaling
Original language description
The paper analyses locations of headquarters of companies and their interactions by inhomogeneous point process, especially local scaling principles, because companies choose their locations according to the number of the local population. Relationships of the companies within economic sectors are studied using the analysis of locally scaled L function. The inhomogeneity was modelled using the local population, then the company’s size was included. Lastly the level of clustering in each sector was computed. The companies are located in three regions in the Czech Republic. It was found out that the companies tend to cluster when the population or the companies’ size is taken into account.
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
50202 - Applied Economics, Econometrics
Result continuities
Project
<a href="/en/project/GA19-04412S" target="_blank" >GA19-04412S: New approaches to modeling and statistics of random sets</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Regional Science Inquiry
ISSN
1791-5961
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
1
Country of publishing house
GR - GREECE
Number of pages
13
Pages from-to
115-127
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85120476488