广州市绿色住宅溢价及其影响因素研究  

Impacting Factors of the Price Premium of Green Housing in Guangzhou

作　　者：钟琪 林丽洁 赵克飞 刘璐[1,2] ZHONG Qi;LIN Lijie;ZHAO Kefei;LIU Lu(School of Management,Guangdong University of Technology,Guangzhou 510520,China,E-mail:[e-mail];Development Research Center for Natural Resource and Real Estate Assessment,Shenzhen 518000,China)

机构地区：[1]广东工业大学管理学院,广东广州510520 [2]深圳市自然资源和不动产评估发展研究中心,广东深圳518000

出　　处：《工程管理学报》2024年第3期141-146,共6页Journal of Engineering Management

基　　金：国家自然科学基金青年科学基金项目(42001148,42101417,42301218);广东省自然科学基金面上项目(2022A1515010641)。

摘　　要：为探讨双碳目标下中国城市绿色住宅的溢价特征,以广州市为例,采用特征价格法分析城市绿色住宅的溢价效应,并探究影响绿色住宅溢价的关键因素。研究发现:在广州市各类绿色建筑中,绿色住宅的面积占比最大,绿色住宅项目数量在市区间分布不均衡;广州市绿色住宅溢价效应显著,存在8.1%的相对溢价。其中,一星级绿色住宅的溢价率为7.9%,二星级则无显著溢价;此外,城市绿色住宅溢价主要受绿色特征、建筑物和品质特征、区位特征、邻里特征等因素影响。以发展绿色建筑为落脚点,政府和企业应积极探索房地产行业由粗放式增长向集约内涵式转型的绿色发展新路径。To explore the price premium of green housing under the dual-carbon targets in urban China,this study uses the hedonic price method to investigate the price premium of green housing in Guangzhou and identifies it's key factors.The results show that green housing in Guangzhou has the largest share among various types of green buildings with spatial heterogeneity.The premium effect of green housing is significant,with a relative premium of 8.1%.The premium rate for one-star green housing is 7.9%,while two-star green housing shows no significant premium.In addition,the premium of green housing is affected by green features,building and quality features,location features,and neighborhood features.To develop green buildings,the government and real estate enterprises should explore a new transition path from extensive growth to intensive and connotative transformation.

关 键 词：绿色住宅 溢价 特征价格法 影响因素 

分 类 号：F293.3[经济管理—国民经济]