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dc.contributor.authorChou, Win Linen_US
dc.contributor.authorWang, Zijunen_US
dc.date.accessioned2014-12-08T15:09:15Z-
dc.date.available2014-12-08T15:09:15Z-
dc.date.issued2009-07-01en_US
dc.identifier.issn1057-9230en_US
dc.identifier.urihttp://dx.doi.org/10.1002/hec.1511en_US
dc.identifier.urihttp://hdl.handle.net/11536/7053-
dc.description.abstractThis paper has two parts. The first part examines the regional health expenditure inequality in China by testing two hypotheses on health expenditure convergence. Cross-section regressions and cluster analysis are used to study the health expenditure convergence and to identify convergence Clusters. We find no single nationwide convergence, only convergence by Cluster. In the second part of the paper, we investigate the long-run relationship between health expenditure inequality, income inequality, and provincial government budget deficits (1313) by using new panel cointegration tests with health expenditure data in China's urban and rural areas. We find that the income inequality and real provincial government BID are useful in explaining the disparity in health expenditure prevailing between urban and rural areas. In order to reduce health-spending inequality, one long-run policy suggestion from our findings is for the government to implement more rapid economic development and stronger financing schemes in poorer rural areas. Copyright (C) 2009 John Wiley & Sons, Ltd.en_US
dc.language.isoen_USen_US
dc.subjecthealth expenditure inequalityen_US
dc.subjectincome inequalityen_US
dc.subjectgovernment budget deficitsen_US
dc.subjectconvergence testen_US
dc.subjectpanel cointegration testen_US
dc.titleREGIONAL INEQUALITY IN CHINA'S HEALTH CARE EXPENDITURESen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/hec.1511en_US
dc.identifier.journalHEALTH ECONOMICSen_US
dc.citation.volume18en_US
dc.citation.issueen_US
dc.citation.spageS137en_US
dc.citation.epageS146en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000267744300012-
dc.citation.woscount16-
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