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Analysis about the seasonality of China's crude oil import based on X-12-ARIMA

Authors: Xiucheng Dong; Zhongbing Zhou;
Abstract
Abstract The aim of this study is to examine the potential seasonality of China's crude oil import in hope of helping the stakeholders with inventory control and production planning. In order to proximately achieve the goal, X-12-ARIMA method was used to adjust the monthly series and the quarterly series of China's crude oil net import in the last 16 years. The results show that the quarterly series is better than the monthly series in terms of seasonality adjustment; the seasonal factors tend to be positive in spring and summer quarters while negative in fall and winter quarters; and the former three seasonal factors are growing stronger while the winter factor weaker in recent years.
Related Organizations
- China University of Petroleum, Beijing China (People's Republic of)
- China University of Petroleum, Beijing China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).21 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
21
Top 10%
Top 10%
Top 10%
Fields of Science (3) View all
Related to Research communities
Energy Research