SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1

Kopczewska (2017) proposed a new empirical measure of spatial agglomeration (SPAG) of economic activity based on geolocations of firms. The aim of the paper is to introduce theoretical backgrounds of SPAG. The measure is a product of two random variables with beta and gamma distributions. The moment...

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Main Authors: Kossowski Tomasz, Hauke Jan
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Quaestiones Geographicae
Subjects:
Online Access:https://doi.org/10.2478/quageo-2018-0041
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spelling doaj-2576227e28364ee2abf09eff0566b8632021-09-05T21:23:40ZengSciendoQuaestiones Geographicae2081-63832018-12-01374334210.2478/quageo-2018-0041quageo-2018-0041SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1Kossowski Tomasz0Hauke Jan1Institute of Socio-Economic Geography and Spatial Management, Adam Mickiewicz University, Poznań, PolandInstitute of Socio-Economic Geography and Spatial Management, Adam Mickiewicz University, Poznań, PolandKopczewska (2017) proposed a new empirical measure of spatial agglomeration (SPAG) of economic activity based on geolocations of firms. The aim of the paper is to introduce theoretical backgrounds of SPAG. The measure is a product of two random variables with beta and gamma distributions. The moments of the product are described and estimated for Poland with spatial centroids of LAU2 treated as geolocations of firms for empirical distribution as well as for the set of firms located in a regular region. Another approach to SPAG properties has its origin in a geometric probability concept. We present the research results on geometric probability, applied to SPAG, as distance probability distributions for a regular region.https://doi.org/10.2478/quageo-2018-0041agglomerationconcentrationspecialisationspagclusteringdistributiongeometric probabilitydistance distributionregular regioneconomic activity
collection DOAJ
language English
format Article
sources DOAJ
author Kossowski Tomasz
Hauke Jan
spellingShingle Kossowski Tomasz
Hauke Jan
SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
Quaestiones Geographicae
agglomeration
concentration
specialisation
spag
clustering
distribution
geometric probability
distance distribution
regular region
economic activity
author_facet Kossowski Tomasz
Hauke Jan
author_sort Kossowski Tomasz
title SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
title_short SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
title_full SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
title_fullStr SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
title_full_unstemmed SPAG: A New Measure of Spatial Agglomeration. Theoretical Background and Empirical Examples1
title_sort spag: a new measure of spatial agglomeration. theoretical background and empirical examples1
publisher Sciendo
series Quaestiones Geographicae
issn 2081-6383
publishDate 2018-12-01
description Kopczewska (2017) proposed a new empirical measure of spatial agglomeration (SPAG) of economic activity based on geolocations of firms. The aim of the paper is to introduce theoretical backgrounds of SPAG. The measure is a product of two random variables with beta and gamma distributions. The moments of the product are described and estimated for Poland with spatial centroids of LAU2 treated as geolocations of firms for empirical distribution as well as for the set of firms located in a regular region. Another approach to SPAG properties has its origin in a geometric probability concept. We present the research results on geometric probability, applied to SPAG, as distance probability distributions for a regular region.
topic agglomeration
concentration
specialisation
spag
clustering
distribution
geometric probability
distance distribution
regular region
economic activity
url https://doi.org/10.2478/quageo-2018-0041
work_keys_str_mv AT kossowskitomasz spaganewmeasureofspatialagglomerationtheoreticalbackgroundandempiricalexamples1
AT haukejan spaganewmeasureofspatialagglomerationtheoreticalbackgroundandempiricalexamples1
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