Detection Of Firms´ Clustering By Local Scaling
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Detection Of Firms´ Clustering By Local Scaling
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Detection Of Firms´ Clustering By Local Scaling
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
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OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
<a href="/cs/project/GA19-04412S" target="_blank" >GA19-04412S: Nové přístupy k modelování a statistice náhodných množin</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Regional Science Inquiry
ISSN
1791-5961
e-ISSN
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Svazek periodika
12
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GR - Řecká republika
Počet stran výsledku
13
Strana od-do
115-127
Kód UT WoS článku
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EID výsledku v databázi Scopus
2-s2.0-85120476488