Please wait a minute...
金融研究  2026, Vol. 549 Issue (3): 1-19    
  本期目录 | 过刊浏览 | 高级检索 |
家庭资产负债表约束、宏观经济波动与住房调控政策有效性
孟宪春
Household Balance Sheet Constraints, Macroeconomic Fluctuations, and the Effectiveness of Housing Regulation Policies
MENG Xianchun
Center for Quantitative Economics, Jilin University
下载:  PDF (2233KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文提出家庭资产负债表约束机制,并基于包含该机制的动态随机一般均衡模型探究了住房调控政策的有效性。研究表明:第一,房产净值损失会触发家庭资产负债表约束机制,导致受资产负债表约束的家庭因住房财富缩水而减少住房持有,一方面,驱动当期房价下降并使家庭房产净值进一步下降;另一方面,引发家庭下一期净资产和住房需求收缩,拉低下一期房价,造成家庭房价预期转弱,加剧房价和房产净值进一步下降,最终对房价和家庭净资产产生负向的静态和动态乘数效应。在跨部门资产负债表渠道传导下,家庭房产净值损失还会引起商业银行贷款总额收缩和实体经济下滑,特别地,房地产开发完成额陷入长期疲软。第二,家庭部门加杠杆空间越小,资产负债表约束机制作用越强,房价下降驱动家庭部门资产负债表收缩的幅度以及对其他部门负向溢出效应越大。第三,面对家庭房产净值冲击,盯住房价波动逆周期调整存量房贷利率的政策,通过降低债务偿还成本、改善家庭净资产,能弱化资产负债表约束机制,有效减缓冲击引起的宏观经济波动。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
孟宪春
关键词:  房产净值冲击  家庭资产负债表约束  跨部门资产负债表渠道  经济波动    
Summary:  Since the second quarter of 2022, the year-on-year growth of new residential property prices across China’s 70 large and medium-sized cities has remained negative. Concurrently, the macroeconomy has been characterized by stable yet slightly declining leverage ratios in the household sector, weak real estate development investments, and credit contractions. Existing theoretical studies mostly characterize housing price fluctuations based on the collateral constraint mechanism that captures the positive feedback loop between housing prices and debt. Nevertheless, from the perspective of household balance sheets, changes in debt exert a limited impact on households’ intertemporal decision-making. Hence, this mechanism is insufficient to explain the recent economic characteristics of China. To address this gap, this paper proposes a household balance sheet constraint mechanism that captures the positive relationship between housing prices and household net worth. By constructing a dynamic stochastic general equilibrium (DSGE) model embedded with this mechanism, this paper successfully replicates the key features of China’s recent macroeconomic data.
This paper arrives at three key findings through empirical and theoretical analysis. First, a loss of housing net worth triggers the household balance sheet constraint mechanism, which exerts negative static and dynamic multiplier effects on housing prices and household net worth. This mechanism drives a decline in housing prices and a contraction of household sector balance sheets, and then spills over to other sectors via the inter-sectoral balance sheet channel, leading to a credit contraction and downturn in the real economy. In particular, the completed real estate development investment remains in a state of prolonged weakness. Second, the narrower the space for household sector leverage expansion, the stronger the household balance sheet constraint mechanism, and the larger the magnitude of macroeconomic fluctuations induced by shocks to household housing net worth. Third, countercyclical adjustments to the interest rates on outstanding mortgage loans targeted at housing price fluctuations reduce household debt-servicing costs, which in turn improves household net worth, thereby weakening the household balance sheet constraint mechanism. Consequently, this policy is able to mitigate the macroeconomic fluctuations caused by housing net worth shocks.
Taken together, these conclusions carry important policy implications: the key to mitigating housing net worth shocks lies in weakening the intensity of the household balance sheet constraint mechanism that captures the positive feedback loop between housing prices and household net worth. In practice, lowering interest rates on outstanding mortgage loans bolsters household net worth, which in turn weakens the negative feedback loop between falling housing prices and household net worth erosion, thus effectively cushioning macroeconomic fluctuations induced by housing net worth shocks. Building on this, governments may consider three approaches to further improve household net worth: cutting household expenditures, expanding household income, and stabilizing housing prices.
The marginal contributions of this paper are embodied in three specific aspects. First, this paper proposes the household balance sheet constraint mechanism and verifies its amplification and transmission effects on household housing net worth shocks by constructing a DSGE model. It provides a concrete and testable DSGE framework for existing theories that emphasize the household balance sheet transmission channel during housing price downturns, thereby enriching the theoretical literature on the macroeconomic implications of household balance sheets. Second, the model constructed in this paper captures the recent economic phenomena in China characterized by declining housing prices, household sector balance sheet contraction, weak real estate development investment, and simultaneous credit tightening. It offers theoretical insights for understanding the persistent downturn of China’s recent real estate market and provides a theoretical framework for relevant policy simulations. Third, this paper simulates the effectiveness of housing regulatory policies in addressing household housing net worth shocks, which provides theoretical support for the formulation and improvement of China’s housing regulatory policies and also offers policy implications for further stabilizing the real estate market.
Keywords:  Housing Net Worth Shocks    Household Balance Sheet Constraint    Inter-sectoral Balance Sheet Channel    Economic Fluctuations
JEL分类号:  E32   E62   G21  
基金资助: *本文感谢国家自然科学基金青年项目(72203072)的资助。感谢匿名审稿人的宝贵意见,文责自负。
作者简介:  孟宪春,经济学博士,副教授,吉林大学数量经济研究中心,E-mail:mengxc20@jlu.edu.cn.
引用本文:    
孟宪春. 家庭资产负债表约束、宏观经济波动与住房调控政策有效性[J]. 金融研究, 2026, 549(3): 1-19.
MENG Xianchun. Household Balance Sheet Constraints, Macroeconomic Fluctuations, and the Effectiveness of Housing Regulation Policies. Journal of Financial Research, 2026, 549(3): 1-19.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2026/V549/I3/1
[1] 董丰、周基航和贾彦东,2023,《银行资产负债表、金融系统性风险与双支柱调控框架》,《经济研究》第8期,第62~82页。
[2] 高然和龚六堂,2017,《土地财政、房地产需求冲击与经济波动》,《金融研究》第4期,第32~45页。
[3] 高崧耀、王佳欣和崔百胜,2025,《房地产市场调整、银行资产负债表与货币政策应对》,《金融研究》第3期,第40~57页。
[4] 郭树清,2020,《正确认识金融形势完善现代金融监管体系》,《中国经济评论》第Z1期,第10~13页。
[5] 孟宪春,2025,《防范房地产市场下行风险的宏观政策选择研究》,《中央财经大学学报》第1期,第127~141页。
[6] 孟宪春、张屹山,2021,《家庭债务、房地产价格渠道与中国经济波动》,《经济研究》第5期,第75~90页。
[7] 宁磊、王敬博和罗扬煌,2024,《收入不确定性、家庭部门资产负债表调整与宏观经济波动》,《管理世界》第3期,第37~62页。
[8] 马勇、章洪铭,2023,《地方融资平台债务风险传导机制与政策应对》,《中国工业经济》第8期,第42~60页。
[9] 谭小芬和张策,2020,《探析居民加杠杆空间》,《中国金融》第11期,第80~82页。
[10] 王劲松、唐洛秋、黄佳祥、武文慧和韩向宇,2024,《房价波动对地方政府债务稳定性的影响——基于隐性担保和支出效率的分析》,《金融研究》第6期,第60~77页。
[11] 朱鹤、王沈南和何帆,2021,《基于明斯基理论的中国居民部门杠杆率重估与债务风险探讨》,《经济学家》第12期,第62~71页。
[12] Aoki, K. and K. Nikolov, 2015, “Bubbles, Banks and Financial Stability”, Journal of Monetary Economics, 74, pp.33~51.
[13] Calvo, G. A., 1983, “Staggered Prices in a Utility-maximizing Framework”, Journal of Monetary Economics, 12(3), pp. 383~398.
[14] Eggertsson, G. B. and P. Krugman, 2012, “Debt, Deleveraging, and the Liquidity Trap: A Fisher-Minsky-Koo Approach”, The Quarterly Journal of Economics, 127(3), pp. 1469~1513.
[15] Gertler, M. and P. Karadi, 2011, “A Model of Unconventional Monetary Policy”, Journal of Monetary Economics, 58(1), pp.17~34.
[16] Gertler, M. and N. Kiyotaki, 2010, “Financial Intermediation and Credit Policy in Business Cycle Analysis”, Handbook of Monetary Economics. (3), pp.547~599.
[17] Guerrieri, V. and G. Lorenzoni, 2017, “Credit Crises, Precautionary Savings, and the Liquidity Trap”, The Quarterly Journal of Economics, 132(3), pp.1427~1467.
[18] Iacoviello, M., 2015, “Financial Business Cycles”, Review of Economic Dynamics, 18(1), pp.140~163.
[19] Iacoviello, M., 2005, “House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle”, American Economic Review, 95(3), pp.739~764.
[20] Kiyotaki, N. and J. Moore, 2019, “Liquidity, Business Cycles, and Monetary Policy”, Journal of Political Economy, 127(6), pp. 2926~2966.
[21] Koo, R., 2003, Balance Sheet Recessions: Japan’s Struggle with Uncharted Economics and its Global Implications, John Wiley & Sons (Asia).
[22] Koo, R., 2009, The Holy Grail if Macroeconomics: Lessons from Japan's Great Recession, John Wiley & Sons (Asia).
[23] Li, C., 2018, “China's Household Balance Sheet: Accounting Issues, Wealth Accumulation, and Risk Diagnosis”, China Economic Review, 51, pp. 97~112.
[24] Liu, Z., P. Wang and T. Zha., 2013, “Land-price Dynamics and Macroeconomic Fluctuations”, Econometrica, 81(3), pp.1147~1184.
[25] Mian, A. , A. Sufi and E. Verner, 2017, “Household Debt and Business Cycles Worldwide”, The Quarterly Journal of Economics, 132(4) , pp.1755~1817.
[26] Mian, A. and A. Sufi, 2014, “What Explains the 2007–2009 Drop in Employment?”, Econometrica, 82(6), pp.2197~2223.
[27] Mian, A. and A. Sufi, 2018, “Finance and Business Cycles: The Credit-driven Household Demand Channel”, Journal of Economic Perspectives, 32(3), pp. 31~58.
[28] Mian, A. and A. Sufi, 2009, “The Consequences of Mortgage Credit Expansion: Evidence from the US Mortgage Default Crisis”, The Quarterly Journal of Economics, 124(4), pp. 1449~1496.
[29] Mian, A., K. Rao and A. Sufi, 2013, “Household Balance Sheets, Consumption, and the Economic Slump”, The Quarterly Journal of Economics, 128(4), pp.1687~1726.
[30] Mishkin, F. S., 1978, “The Household Balance Sheet and the Great Depression”, The Journal of Economic History, 38(4), pp. 918~937.
[31] Sufi, A., 2023, “Housing, Household Debt, and the Business Cycle: An Application to China and Korea”, NBER Working Paper.
[1] 孟宪春附录.pdf Download
[1] 张梦婷, 司登奎, 石岿然, 王桂虎. 收入不稳定冲击的经济波动效应与政策协同调控[J]. 金融研究, 2025, 543(9): 1-19.
[2] 李力, 吴施美, 陈贞竹. 极端天气风险与宏观经济波动——基于网络关联与空间溢出双重视角[J]. 金融研究, 2023, 519(9): 58-75.
[3] 庄子罐, 韩恺明, 刘鼎铭, 王熙. 资产价格、预期冲击与中国宏观经济波动[J]. 金融研究, 2023, 518(8): 1-18.
[4] 吴立元, 赵扶扬, 王忏, 龚六堂. 美国货币政策溢出效应、中国资产价格波动与资本账户管理[J]. 金融研究, 2021, 493(7): 77-94.
[5] 梅冬州, 温兴春, 王思卿. 房价调控、地方政府债务与宏观经济波动[J]. 金融研究, 2021, 487(1): 31-50.
[6] 庄子罐, 贾红静, 刘鼎铭. 居民风险偏好与中国货币政策的宏观经济效应——基于DSGE模型的数量分析[J]. 金融研究, 2020, 483(9): 40-58.
[7] 郝大鹏, 王博, 李力. 美联储政策变化、国际资本流动与宏观经济波动[J]. 金融研究, 2020, 481(7): 38-56.
[8] 肖祖沔, 彭红枫, 向丽锦. 贸易摩擦、宏观经济波动与经济开放程度的选择[J]. 金融研究, 2020, 484(10): 74-91.
[9] 闫先东, 张鹏辉. 土地价格、土地财政与宏观经济波动[J]. 金融研究, 2019, 471(9): 1-18.
[10] 林滨, 王弟海, 陈诗一. 企业效率异质性、金融摩擦的资源再分配机制与经济波动[J]. 金融研究, 2018, 458(8): 17-32.
[11] 王倩, 赵铮. 同业融资视角下的商业银行杠杆顺周期性[J]. 金融研究, 2018, 460(10): 89-105.
[12] 邵全权, 王博, 柏龙飞. 风险冲击、保险保障与中国宏观经济波动[J]. 金融研究, 2017, 444(6): 1-16.
[13] 高然, 龚六堂. 土地财政、房地产需求冲击与经济波动[J]. 金融研究, 2017, 442(4): 32-45.
[14] 马勇, 张靖岚, 陈雨露. 金融周期与货币政策[J]. 金融研究, 2017, 441(3): 33-53.
[15] 张翔, 刘璐, 李伦一. 国际大宗商品市场金融化与中国宏观经济波动[J]. 金融研究, 2017, 439(1): 35-51.
[1] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[8] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[9] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
[10] 张晓宇, 徐龙炳. 限售股解禁、资本运作与股价崩盘风险[J]. 金融研究, 2017, 449(11): 158 -174 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1