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作 者:张恬 张荣 杨丽琼 ZHANG Tian;ZHANG Rong;YANG Liqiong(Macao University of Science and Technology,Macao 999078,China;Zhuhai Zhenrong Co.,Ltd,Zhuhai 519000,China;Beijing Jiaotong University,Beijing 100091,China)
机构地区:[1]澳门科技大学,中国澳门999078 [2]珠海振戎有限公司,广东珠海519000 [3]北京交通大学,北京100091
出 处:《建筑经济》2024年第S01期516-520,共5页Construction Economy
摘 要:本文基于2008年至2023年我国四个一线城市的面板数据,运用向量误差修正模型(VECM)对理论框架进行实证检验,研究发现:长期房价的大部分动态趋势可以用狭义货币供应量、抵押贷款利率和租金收入来解释;北京、广州和深圳的房地产市场由经济和政府基本面主导,其房价更多依托于基本价值和周期性成分,上海的房地产市场则由其它成分所主导,投资属性较强;结合房地产市场未来发展趋势,“房住不炒”的政策定调仍有理论依据和现实必要,政府应支持实体产业经济发展,引导资金注入实体经济,而非房地产市场。This article utilizing panel data from four first-tier cities in China from 2008 to 2023,the study employs a Vector Error Correction Model(VECM)to empirically test the theoretical framework.The study shows that the majority of long-term housing price trends can be explained by the narrow money supply,mortgage interest rates,and rental income;The real estate markets in Beijing,Guangzhou,and Shenzhen are primarily influenced by economic and governmental fundamentals,with housing prices being more dependent on basic values and cyclical components,whereas the Shanghai market is primarily driven by other components.The Shanghai market emphasizes investment;Considering the future trends in the real estate market,the policy of"housing for living,not for speculation"continues to have a theoretical foundation and is necessary in practice.The government should support the development of the real economy and direct investment towards the physical sector rather than the real estate market.
关 键 词:基本价值 周期性成分 其它成分 向量误差修正模型(VECM) 价格成像
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