Circulating and Casual Relationship between Housing Business Cycle and Construction Business Cycle

Myong-kyo Suh, Hyung-joo Kim
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引用次数: 2

Abstract

The analyses of circulating and causal relationship between the housing and the construction business cycles were conducted by using the HP filter and impulse response analysis and variance decomposition analysis using the VAR model on variables representing the South Korean housing and construction market and macroeconomic variables for a period from 1986 to 2017. The results show that the average business cycle length was found to be around 5~6 years, with the period of expansion being 1.3~1.5 times longer than that of recession, in the housing market and approximately 6~7 years in the construction industry. And while the amplitude is ever decreasing. those of rental prices, apartment prices, Seoul prices and construction orders were found to relatively large. The leading and lagging relationship of variables were analyzed in the following order: interest rate → GDP → housing price → construction order → construction investment, and the interest rate had a significant influence in the negative (-) direction on all variables. These findings point to the availability that a market mechanism is in operation, which helps economic players including the government obtain information and execute actions more accurately and quickly than in the past. Also, the government’s policy to focus on the risk variables, which are relatively bigger amplitudes, will be more effective. It also suggests that the construction market can be predicted to a certain extent through the current cyclical phase of the housing market and it is necessary to respond very sensitively to interest rate fluctuations.
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住房经济周期与建筑经济周期的循环与因果关系
采用HP滤波、脉冲响应分析和VAR模型方差分解分析,对1986 - 2017年韩国住房和建筑市场代表变量和宏观经济变量进行循环和因果关系分析。结果表明,经济周期的平均长度约为5~6年,其中房地产市场的扩张周期是衰退周期的1.3~1.5倍,建筑业的周期约为6~7年。当振幅不断减小时。租赁价格、公寓价格、首尔市价格、建设订单等的变化幅度较大。分析各变量的前后关系为:利率→GDP→房价→施工订单→建设投资,利率对各变量均呈负(-)方向显著影响。这些发现表明,市场机制正在发挥作用,这有助于包括政府在内的经济参与者比过去更准确、更迅速地获取信息并执行行动。此外,政府的政策将重点放在风险变量上,这是相对较大的振幅,将更有效。它还表明,建筑市场可以通过当前住房市场的周期性阶段在一定程度上进行预测,有必要对利率波动做出非常敏感的反应。
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