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Multivariate Co-integration Analysis of the Relationship between Electricity Consumption and Economic Growth in China

机译:中国电力消费与经济增长关系的多变量共同集成分析

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Many scholars research deeply the relationship between the electricity consumption and GDP. In my view, the composing factors of GDP impact on the electricity consumption in different ways, so the relationship between the electricity consumption and the composing factors of GDP is studied in the paper. Electricity consumption is chosen as the explained variable, and Fixed asset investment, disposal income per capita, export, and electricity power price are chosen as the explanatory variables, twenty-five years (from 1980 to 2004) real data of all the variables (deducted the influence of inflation) in China are taken as the samples. Based on the unit root test and co-integration test, the model is found to analyze the co-integration relationship between the explained variable and explanatory variables, and it is suitable to forecast the electricity demand in long-term Owing to the existence of equilibrium mechanism, the Error Correction Model is applied to analyze the degree that the short-term electricity consumption deviate the long-term equilibrium state.
机译:许多学者研究了电力消费与GDP之间的关系。在我看来,在不同方式对电力消耗产生GDP影响的组成因素,因此在论文中研究了电力消耗与GDP的作曲因子之间的关系。选择电力消耗作为解释的变量,以及固定资产投资,单人均处理收入,出口和电力价格被选为解释性变量,二十五年(从1980年到2004年)所有变量的真实数据(扣除通胀的影响)作为样品被视为样本。基于单位根测试和共同集成测试,发现模型分析了解释的变量与解释变量之间的共同积分关系,并且由于均衡存在,因此适用于长期预测电力需求机构,应用误差校正模型分析短期电力消耗偏离长期均衡状态的程度。

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