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Houses as Durable Goods, Land Market Division and the Missing Money Puzzle |
LIU Jianjian, WANG Chan, ZHAO Fuyang, GONG Liutang
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School of Finance, Shandong University of Finance and Economics; School of Finance/School of Economics, Central University of Finance and Economics; School of International Economics and Management, Beijing Technology and Business University; LMEQF Peking University |
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Abstract The 2008 financial crisis caused a drastic decline in China's exports and slowed its economic growth. In response, China adopted stimulus plan to stimulate the economy. However, the resulting increase in money supply (M2) did not cause an increase in inflation, which is called the missing money puzzle. This puzzle was caused by the boom in the real estate sector and a sharp increase in housing prices. There were variations in land prices as well, as the prices of commercial and residential land rose sharply while the prices of industrial land remained relatively stable. This study explains the above phenomena in a unified framework. We build a two-sector dynamic stochastic general equilibrium model comprising the real estate and non-real estate sectors to explain the missing money puzzle. Both sectors use labor, capital and land as material inputs of production. The entrepreneurs of both sectors face financial frictions, that is, they use land and capital as collateral to borrow from households. Land is provided by the local government. There is a land market division: an entrepreneur in the housing sector uses commercial and residential land to produce housing, while an entrepreneur in the non-housing sector uses industrial land to produce goods for consumption. The demand for housing, as a durable good, is more sensitive to changes in interest rates because of its near-constant shadow value and almost infinite elasticity of substitution. Therefore, when the interest rate declines, the demand for housing increases more than that of non-housing goods, and housing prices rise sharply. Furthermore, the increase in housing demand encourages real estate entrepreneurs to increase production and the material inputs of production, including land. As land of different types or in different markets cannot be transformed, commercial land prices rise significantly because of the fixed land supply. High land prices increase the collateral value of land and relax the borrowing constraints of real estate entrepreneurs, enabling them to gain more capital to increase production, which leads to a further expansion in the real estate sector. However, non-housing goods are less sensitive to changes in interest rates, so the demand for non-housing goods and the price of industrial land increase slowly, thereby limiting the borrowing capacity of entrepreneurs in the non-real estate sector. This leads to a modest rise in the non-real estate sector output and the Consumer Price Index. We also compute the optimal Ramsey policy and compare it with the benchmark model. The monetary policy should be stable and limit the increase in the housing sector to achieve optimal social welfare and balanced development in the housing and non-housing sectors. Based on the study findings, we make the following policy recommendations. Monetary policy tools should play the dual functions of aggregation and structure as houses are assets for living in, not for speculation. The monetary policy should maintain stability, and structural monetary policy instruments should be improved. It is also necessary to increase construction for residential purposes and affordable housing and develop the long-term rental market. Moreover, a prudent management system for real estate should be implemented to achieve balanced development of the housing and non-housing sectors.
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Received: 30 December 2021
Published: 02 December 2022
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[1] |
陈彦斌、郭豫媚和陈伟泽,2015,《2008年金融危机后中国货币数量论失效研究》,《经济研究》第4期,第21~35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33~45页。
|
[3] |
李斌,2004,《经济发展、结构变化与“货币消失”》,《经济研究》第6 期,第24~32页。
|
[4] |
李斌,2010,《从流动性过剩(不足)到结构性通胀(通缩)》,《金融研究》第4 期,第50~63页。
|
[5] |
彭方平、展凯和李琴,2008,《流动性过剩与央行货币政策有效性》,《管理世界》第5期,第30~37页。
|
[6] |
仝冰,2017, 《混频数据、投资冲击与中国宏观经济波动》,《经济研究》第 6 期,第60~76页。
|
[7] |
王弟海、管文杰和赵占波,2015,《土地和住房供给对房价变动和经济增长的影响———兼论我国房价居高不下持续增长的原因》,《金融研究》第1期,第50~67页。
|
[8] |
王频和侯成琪,2017,《预期冲击、房价波动与经济波动》,《经济研究》第4期,第48~63页。
|
[9] |
张杰平和刘晓光,2016,《价格结构性上涨:货币、物价和房价》,《经济评论》第6期,第55~69页。
|
[10] |
张勇,2015,《热钱流入、外汇冲销与汇率干预—基于资本管制和央行资产负债表的DSGE分析》,《经济研究》第7期,第116~130页。
|
[11] |
赵扶扬、王忏和龚六堂,2017,《土地财政与中国经济波动》,《经济研究》第12期,第46~61页。
|
[12] |
赵扶扬、王忏、龚六堂和王鹏飞,2020,《土地市场分割、房地产市场与中国经济的“脱实向虚”》,工作论文。
|
[13] |
Barsky, R., L. H. Christopher, and M. Kimball, 2007, “Sticky Price Models and Durable Goods.” American Economic Review,97(3): 984~998.
|
[14] |
Chang, C., Z. Liu, and M. Spiegel, 2015, “Capital Controls and Optimal Chinese Monetary Policy.” Journal of Monetary Economics,74: 1~15.
|
[15] |
Chen, B., and S. Liao, 2014, “Capital, Credit Constraints and The Comovement Between Consumer Durables and Nondurables”. Journal of Economic Dynamics and Control, 39: 127~139.
|
[16] |
Chen, T., L. Liu, W. Xiong, and L. Zhou, 2017, “Real Estate Boom and Corporate Misallocation of Capital in China.” Working Paper.
|
[17] |
Chen, K., J. Ren, and T. Zha, 2018, “The Nexus of Monetary Policy and Shadow Banking in China.”. American Economic Review, 108 (12): 3891~3936.
|
[18] |
Chen, K. and Y, Wen, 2017, “The Great Housing Boom of China.” American Economic Journal: Macroeconomics, 9(2): 73~114.
|
[19] |
Christopher, E., and L. Andrew, 2006, “Optimal Monetary Policy with Durable Consumption Goods.” Journal of Monetary Economics, 53: 1341~1359.
|
[20] |
Fang, H., Q. Gu, W. Xiong, and L. Zhou, 2016, “Demystifying The Chinese Housing Boom.” NBER Macroeconomics Annual, 30: 105~166.
|
[21] |
Iacoviello, M., 2005, “House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle.” American Economic Review, 95 (3):739~764.
|
[22] |
Hsieh, C., and E. Moeretti, 2019, “Housing Constraints and Spatial Misallocation”. American Economic Journal: Macroeconomics, 11: 1~39.
|
[23] |
Lambertini, L., M. Caterina, and T. Maria, 2013, “Leaning Against Boom-bust Cycles in Credit and Housing Prices.” Journal of Economic Dynamics and Control, 37: 1500~1522.
|
[24] |
Liu, Z., P. Wang, and T. Zha, 2013, “Land-price Dynamics and Macroeconomic Fluctuations.” Econometrica, 81 (3): 1147~1184.
|
[25] |
Mankiw, N., J. Rotemberg, and L. Summers, 1985, “Intertemporal Substitution in Macroeconomics.” The Quarterly Journal of Economics, 100(1): 225~251.
|
[26] |
Notarpietro, A. and S. Siviero, 2015, “Optimal Monetary Policy Rules and House Prices: The Role of Financial Frictions.” Journal of Money Credit& Banking,47( S1): 383~410.
|
|
|
|