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Article: Small is beautiful: a probit analysis of development control of small houses in Hong Kong

TitleSmall is beautiful: a probit analysis of development control of small houses in Hong Kong
Authors
Issue Date2001
PublisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.html
Citation
Environment and Planning B: Planning and Design, 2001, v. 28 n. 4, p. 611-622 How to Cite?
AbstractIn this paper we apply the probit model, an econometric technique that has been used in urban economics to examine nonaggregate cross-sectional data, to investigate the development control (planning application) data regarding the so-called 'small houses' in Hong Kong with respect to two classes of statutory zones, namely the 'green belt' and 'unspecified uses' zones. Four refutable hypotheses relating to the scale of the development, exogenous policies, and internal planning guidelines confronting the planning permission mechanism are tested by using a probit model adapted for the purpose. The data set with 826 individual observations over a period of 24 years from 1975 is part of the first systematically collected and unpublished planning statistics data set for Hong Kong. Although the hypotheses are specific to Hong Kong, they can be easily adapted, where nonaggregate planning statistics are available, to evaluate three general issues: rent seeking, the dependence of planning decisions on announced policies, and the spatial variation in success rates of planning applications.
Persistent Identifierhttp://hdl.handle.net/10722/168701
ISSN
2015 Impact Factor: 1.195
2015 SCImago Journal Rankings: 0.582
References

 

DC FieldValueLanguage
dc.contributor.authorLai, LWCen_US
dc.contributor.authorHo, WKOen_US
dc.date.accessioned2012-10-08T03:31:36Z-
dc.date.available2012-10-08T03:31:36Z-
dc.date.issued2001en_US
dc.identifier.citationEnvironment and Planning B: Planning and Design, 2001, v. 28 n. 4, p. 611-622en_US
dc.identifier.issn0265-8135en_US
dc.identifier.urihttp://hdl.handle.net/10722/168701-
dc.description.abstractIn this paper we apply the probit model, an econometric technique that has been used in urban economics to examine nonaggregate cross-sectional data, to investigate the development control (planning application) data regarding the so-called 'small houses' in Hong Kong with respect to two classes of statutory zones, namely the 'green belt' and 'unspecified uses' zones. Four refutable hypotheses relating to the scale of the development, exogenous policies, and internal planning guidelines confronting the planning permission mechanism are tested by using a probit model adapted for the purpose. The data set with 826 individual observations over a period of 24 years from 1975 is part of the first systematically collected and unpublished planning statistics data set for Hong Kong. Although the hypotheses are specific to Hong Kong, they can be easily adapted, where nonaggregate planning statistics are available, to evaluate three general issues: rent seeking, the dependence of planning decisions on announced policies, and the spatial variation in success rates of planning applications.en_US
dc.languageengen_US
dc.publisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.htmlen_US
dc.relation.ispartofEnvironment and Planning B: Planning and Designen_US
dc.titleSmall is beautiful: a probit analysis of development control of small houses in Hong Kongen_US
dc.typeArticleen_US
dc.identifier.emailLai, LWC: wclai@hku.hken_US
dc.identifier.authorityLai, LWC=rp01004en_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0034911663en_US
dc.identifier.hkuros72828-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034911663&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume28en_US
dc.identifier.issue4en_US
dc.identifier.spage611en_US
dc.identifier.epage622en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLai, LWC=7202616218en_US
dc.identifier.scopusauthoridHo, WKO=7402968897en_US
dc.customcontrol.immutablesml 130729-

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