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Analysis of China's Oil Self- Sufficiency
In recent years, with its sustained and rapid economic development, the contradiction between supply and demand on China's petroleum is daily outstanding, and it makes the dependence rate of foreign oil resources going higher and higher. With the method of time series analysis and based on the...
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creator | Zhang Chuanping Zhao Ruirui Yan Xueping Yue Lin |
description | In recent years, with its sustained and rapid economic development, the contradiction between supply and demand on China's petroleum is daily outstanding, and it makes the dependence rate of foreign oil resources going higher and higher. With the method of time series analysis and based on the data of China's oil self-sufficiency and proven reserves from 1980 to 2009, ARIMA models which is used for forecasting China's oil self-sufficiency in this paper is established, and solutions to deal with the oil problem are proposed. |
doi_str_mv | 10.1109/ICMSS.2011.5998414 |
format | conference_proceeding |
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With the method of time series analysis and based on the data of China's oil self-sufficiency and proven reserves from 1980 to 2009, ARIMA models which is used for forecasting China's oil self-sufficiency in this paper is established, and solutions to deal with the oil problem are proposed.</description><identifier>ISBN: 1424465796</identifier><identifier>ISBN: 9781424465798</identifier><identifier>EISBN: 1424465818</identifier><identifier>EISBN: 142446580X</identifier><identifier>EISBN: 9781424465804</identifier><identifier>EISBN: 9781424465811</identifier><identifier>DOI: 10.1109/ICMSS.2011.5998414</identifier><language>eng</language><publisher>IEEE</publisher><subject>Autoregressive processes ; Correlation ; Economics ; Mathematical model ; Predictive models ; Software ; Time series analysis</subject><ispartof>2011 International Conference on Management and Service Science, 2011, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5998414$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5998414$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang Chuanping</creatorcontrib><creatorcontrib>Zhao Ruirui</creatorcontrib><creatorcontrib>Yan Xueping</creatorcontrib><creatorcontrib>Yue Lin</creatorcontrib><title>Analysis of China's Oil Self- Sufficiency</title><title>2011 International Conference on Management and Service Science</title><addtitle>ICMSS</addtitle><description>In recent years, with its sustained and rapid economic development, the contradiction between supply and demand on China's petroleum is daily outstanding, and it makes the dependence rate of foreign oil resources going higher and higher. 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With the method of time series analysis and based on the data of China's oil self-sufficiency and proven reserves from 1980 to 2009, ARIMA models which is used for forecasting China's oil self-sufficiency in this paper is established, and solutions to deal with the oil problem are proposed.</abstract><pub>IEEE</pub><doi>10.1109/ICMSS.2011.5998414</doi></addata></record> |
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subjects | Autoregressive processes Correlation Economics Mathematical model Predictive models Software Time series analysis |
title | Analysis of China's Oil Self- Sufficiency |
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