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Oil demand forecasting for China: a fresh evidence from structural time series analysis

机译:中国石油需求预测:结构时间序列分析的新证据

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The main objective of this study is to investigate the linkages between oil price, oil reserve, economic growth and oil consumption to forecast future oil demand in China. A structural time series technique is used to expose the underline energy demand trend (UEDT) for total oil consumption and transport oil consumption over the period of 1980-2015. In both models, the elasticity of GDP and oil reserve remains positive and significant, while the elasticity of oil price shows negative and significant relationship with oil demand. Moreover, the results suggest that GDP, oil price, oil reserve and UEDT are found to be important drivers for oil demand. Furthermore, UEDT is found to be an increasing trend in total oil consumption as well as for transport oil consumption. It is also predicted that total oil demand will be 9.9 thousand barrels per day by 2025, while transport oil demand will be 9.0 thousand barrels per day by 2020 in China.
机译:本研究的主要目标是调查油价,石油储备,经济增长和石油消费之间的联系,以预测中国的未来石油需求。结构时间序列技术用于在1980 - 2015年期间暴露下划线能量需求趋势(UEDT),以便在1980 - 2015年期间进行石油总消耗和运输油耗。在这两种模型中,GDP和储油储量的弹性仍然积极且显着,而油价的弹性表现出与石油需求的负面和显着关系。此外,结果表明,未发现GDP,油价,石油储量和UEDT是石油需求的重要司机。此外,uEdt被发现是总油耗的越来越大,以及运输油耗。还预测,2025年,每天总石油需求将是每天9.9千桶,而在中国2020年,运输油需求将每天9.0万桶。

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