Linking spatial scale to changes in workplace earnings – An exploratory approach

The paper investigates the importance of spatial scale for changes in earnings at the workplace by using spatial regression applied to workplace-level micro data in an exploratory purpose. A floating grid technique is used to define equal-sized workplaces and their daily-reach surrounding zones as d...

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Main Authors: Wenjuan Li, Einar Holm, Urban Lindgren
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 2015-09-01
Series:Cybergeo
Subjects:
Online Access:http://journals.openedition.org/cybergeo/27192
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spelling doaj-2f454ecf02784ae7afd32c461afad8972020-11-24T21:59:15ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662015-09-0110.4000/cybergeo.27192Linking spatial scale to changes in workplace earnings – An exploratory approachWenjuan LiEinar HolmUrban LindgrenThe paper investigates the importance of spatial scale for changes in earnings at the workplace by using spatial regression applied to workplace-level micro data in an exploratory purpose. A floating grid technique is used to define equal-sized workplaces and their daily-reach surrounding zones as divided into three spatial entities: working-square, local area and hinterland. On the basis of geo-referenced information on workplaces and places of residence along with numerous individual-level socio-economic indicators, the results of the regression models reveal that the indicators of the daily-reach area play a dominant role and that their contribution varies over spatial entities. Among the spatial entities, the working-square (km square) surrounding the workplace is more important than the workplace itself, the local area and the hinterland. Moreover, the results suggest that internal factors related to population size, diversity of trade and industry and educational level contribute to about one-third of changes in work income at the workplace level. It can be concluded that knowledge, learning and human capital are strongly associated with increased earnings.http://journals.openedition.org/cybergeo/27192floating gridworkplaceearningsregional growthspatial modeling/modelling
collection DOAJ
language deu
format Article
sources DOAJ
author Wenjuan Li
Einar Holm
Urban Lindgren
spellingShingle Wenjuan Li
Einar Holm
Urban Lindgren
Linking spatial scale to changes in workplace earnings – An exploratory approach
Cybergeo
floating grid
workplace
earnings
regional growth
spatial modeling/modelling
author_facet Wenjuan Li
Einar Holm
Urban Lindgren
author_sort Wenjuan Li
title Linking spatial scale to changes in workplace earnings – An exploratory approach
title_short Linking spatial scale to changes in workplace earnings – An exploratory approach
title_full Linking spatial scale to changes in workplace earnings – An exploratory approach
title_fullStr Linking spatial scale to changes in workplace earnings – An exploratory approach
title_full_unstemmed Linking spatial scale to changes in workplace earnings – An exploratory approach
title_sort linking spatial scale to changes in workplace earnings – an exploratory approach
publisher Unité Mixte de Recherche 8504 Géographie-cités
series Cybergeo
issn 1278-3366
publishDate 2015-09-01
description The paper investigates the importance of spatial scale for changes in earnings at the workplace by using spatial regression applied to workplace-level micro data in an exploratory purpose. A floating grid technique is used to define equal-sized workplaces and their daily-reach surrounding zones as divided into three spatial entities: working-square, local area and hinterland. On the basis of geo-referenced information on workplaces and places of residence along with numerous individual-level socio-economic indicators, the results of the regression models reveal that the indicators of the daily-reach area play a dominant role and that their contribution varies over spatial entities. Among the spatial entities, the working-square (km square) surrounding the workplace is more important than the workplace itself, the local area and the hinterland. Moreover, the results suggest that internal factors related to population size, diversity of trade and industry and educational level contribute to about one-third of changes in work income at the workplace level. It can be concluded that knowledge, learning and human capital are strongly associated with increased earnings.
topic floating grid
workplace
earnings
regional growth
spatial modeling/modelling
url http://journals.openedition.org/cybergeo/27192
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