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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Unité Mixte de Recherche 8504 Géographie-cités
2015-09-01
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Online Access: | http://journals.openedition.org/cybergeo/27192 |
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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 |
work_keys_str_mv |
AT wenjuanli linkingspatialscaletochangesinworkplaceearningsanexploratoryapproach AT einarholm linkingspatialscaletochangesinworkplaceearningsanexploratoryapproach AT urbanlindgren linkingspatialscaletochangesinworkplaceearningsanexploratoryapproach |
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