Using spatial analysis to understand the spatial heterogeneity of disability employment in China

uring the formulation of employment disability policy, policymakers are often interested in regional variations of disability employment. Decision-makers are required to distinguish between various geographical factors. However, few previous studies take spatial heterogeneity into account and most o...

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Main Authors: Liao, Y., Wang, J., Du, W., Gao, B., Liu, Xin, Chen, G., Song, X., Zheng, X.
Format: Journal Article
Published: Blackwell Publishers 2016
Online Access:http://hdl.handle.net/20.500.11937/35739
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author Liao, Y.
Wang, J.
Du, W.
Gao, B.
Liu, Xin
Chen, G.
Song, X.
Zheng, X.
author_facet Liao, Y.
Wang, J.
Du, W.
Gao, B.
Liu, Xin
Chen, G.
Song, X.
Zheng, X.
author_sort Liao, Y.
building Curtin Institutional Repository
collection Online Access
description uring the formulation of employment disability policy, policymakers are often interested in regional variations of disability employment. Decision-makers are required to distinguish between various geographical factors. However, few previous studies take spatial heterogeneity into account and most of them conducted only a qualitative analysis. Geographical detectors based on spatial variation analyses of identified factors were applied in the study to establish connections between regional features and the disability employment rate, and to identify the city groups with significantly higher and lower percentage rates of disability employment. It is the first application of spatial statistics in studying the employment problem of the disabled. The findings can help the government formulate reasonable adjustments to both job opportunities for, and work roles of, disabled people.
first_indexed 2025-11-14T08:42:37Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:42:37Z
publishDate 2016
publisher Blackwell Publishers
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spelling curtin-20.500.11937-357392017-09-13T16:09:32Z Using spatial analysis to understand the spatial heterogeneity of disability employment in China Liao, Y. Wang, J. Du, W. Gao, B. Liu, Xin Chen, G. Song, X. Zheng, X. uring the formulation of employment disability policy, policymakers are often interested in regional variations of disability employment. Decision-makers are required to distinguish between various geographical factors. However, few previous studies take spatial heterogeneity into account and most of them conducted only a qualitative analysis. Geographical detectors based on spatial variation analyses of identified factors were applied in the study to establish connections between regional features and the disability employment rate, and to identify the city groups with significantly higher and lower percentage rates of disability employment. It is the first application of spatial statistics in studying the employment problem of the disabled. The findings can help the government formulate reasonable adjustments to both job opportunities for, and work roles of, disabled people. 2016 Journal Article http://hdl.handle.net/20.500.11937/35739 10.1111/tgis.12217 Blackwell Publishers restricted
spellingShingle Liao, Y.
Wang, J.
Du, W.
Gao, B.
Liu, Xin
Chen, G.
Song, X.
Zheng, X.
Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title_full Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title_fullStr Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title_full_unstemmed Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title_short Using spatial analysis to understand the spatial heterogeneity of disability employment in China
title_sort using spatial analysis to understand the spatial heterogeneity of disability employment in china
url http://hdl.handle.net/20.500.11937/35739