供需视角下中国商品房价格影响因素实证研究
(杭州辰光房地产资产评估有限公司,浙江 杭州 310000)
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摘要:基于2000~2024年中国房地产数据,从供需层面分析了商品房平均售价的影响因素及影响程度,通过相关性分析与多元线性回归模型实证发现:城镇居民人均可支配收入与土地供给面积是驱动房价波动的关键因素。在其它条件不变的情况下,城镇居民人均可支配收入每增加1元,新建商品房平均销售价格上涨0.2027元/m2;土地购置面积每增加1万平方米,新建商品房价格上涨0.0129元/m2。基于此,结合房地产行业发展现状提出四点针对性建议,以期为我国房地产市场平稳健康发展提供决策参考。关键词:房地产价格;影响因素;多元回归;实证研究;供需视角Abstract:Based on China's real estate data from 2000 to 2024,this study analyzes the factors influencing the average selling price of commercial housing and their impact levels from a supply-demand perspective. Empirical research through correlation analysis and multiple linear regression models reveals that per capita disposable income of urban residents and land supply area are key drivers of housing price fluctuations. Holding other variables constant:For every 1 yuan increase in per capita disposable income of urban residents,the average selling price of newly built commercial housing rises by 0.2027 yuan per square meter;for every 10000 square meters increase in land acquisition area,the price of newly built commercial housing rises by 0.0129 RMB per square meter. Based on these findings and the current state of the real estate industry,four targeted recommendations are proposed to provide decision-making references for the stable and healthy development of China's real estate market.Keywords:real estate prices;influencing factors;multiple regression;empirical research;supply and demand perspective参考文献[1] 张水茂.人民币汇率波动对中国房地产价格的影响机制分析[J].价格月刊,2022(12):57-61.[2] 郑敏.投资行为对房地产价格及其政策的影响[J].管理科学学报,2021(5):97-109.[3] 潘晨旭.个人储蓄存款对房地产价格的影响研究[D].上海:上海财经大学,2021.[4] 张龙,申瑛琦.中国房价稳定性测度、影响因素识别与货币政策“跨周期”设计[J].财经科学,2023(8):1-16.[5] 马香品,姚慧琴.供需视角下的我国房地产价格波动的空间差异及成因分析[J].经济问题探索,2020(2):31-38.[6] 陈小亮,程硕,陈衎,等.基于机器学习方法的一线城市房价影响因素研究[J].南开学报(哲学社会科学版),2023(6):146-163.[7] 张恬,张荣,杨丽琼,等.基于VECM模型的房地产价格成分实证研究——以北上广深四城市为例[J].建筑经济,2024(S1):510-520.建筑经济,2026(8):22-28
