通过建立向量误差修正模型并借助脉冲响应分析和方差分解，重点对中国近年来住房价格上涨中的金融因素进行分析。
With Vector Error Correction Model, impulse response analysis and variance decomposition, this paper analyzes the finance factors that cause the prompt rise of house price in China.
通过对时间序列建立向量误差修正模型，运用单位根检验、协整检验、格兰杰因果关系检验、脉冲响应函数等方法精确地度量系统中变量之间相互影响的动态过程。
The article USES VECM, ADF Test, Johansen Test, Granger Causal Relation Test, Impulse Response Function to accurately measure the process that the variables influence each other in the system.
为了探究影响中国能源消费增长的内在规律，文章运用协整分析方法对能源消费与产业结构变化之间的关系进行了定量分析，并建立了向量误差修正模型。
The paper USES multivariable integration test and Granger causality test based on vector error correction model and analyzes the relationship between Chinas energy consumption and economic growth.
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