太阳成8722(中国)有限公司-GREEN NO.1

标题：An improved spatial error model for the mass appraisal of commercial real estate based on spatial analysis: Shenzhen as a case study作者：Ran Zhang , Qingyun Du , Jijin Geng, Biao Liu , Yikun Huang

来源出版物：Habitat International卷：46页：196-205 DOI：doi:10.1016/j.habitatint.2014.12.001 出版年：Apr. 2015

摘要：Due to the rapid urbanization in China, the government must explore a new sustainable source of fiscal revenue. Therefore, property tax reform has been the topic of active discussion. As an important technical support for property tax reform, mass appraisal is an effective technique for implementing the tax base assessment. To achieve high precision and reduce the cost of valuation, an innovative framework for commercial real estate appraisal is proposed through the introduction of a spatial error model (SEM), fuzzy mathematics and econometrics. Several modifications are made to the conventional SEM so that it can be extended to the solution of commercial property mass appraisals. The fuzzy mathematics approach is adopted to specify the spatial weight matrix (SWM). Additionally, based on econometrics, the impacts of the entity and locatio0n factors on commercial real estate prices are discussed. The proposed method is then implemented for commercial real estate, based on the empirical analysis of Shenzhen. Experiments demonstrate the accuracy of the assessment results and that the consistency among different appraisal objects is improved. Further, through the introduction of fuzzy mathematics, we extend the SWM construction from a single variable to multi-variables. This advantage allows us to increase the usage of our technique and to provide technical support for the undergoing property tax reform in the Chinese real estate market.

文献类型：Article

语种：English

作者关键词：Mass appraisal; Spatial analysis; Spatial error model; Fuzzy mathematics

通讯作者地址：Qingyun Du; School of Resource and Environmental Science, Wuhan University, Wuhan, 430079, China

电子邮件地址：qydu@whu.edu.cn

地址：

[Ran Zhang , Qingyun Du]School of Resource and Environmental Science, Wuhan University, Wuhan, 430079, China

[Jijin Geng, Biao Liu , Yikun Huang]Center for Assessment and Development of Real Estate, Shenzhen, 518000, China

[Qingyun Du]Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan, 430079, China

[Biao Liu]Geoinformation Science, Chinese University of Hong Kong, China

[Yikun Huang]Real Estate and Construction, University of Hong Kong, China

ISSN：0197-3975

全文链接：http://www.sciencedirect.com/science/journal/01973975