Record Details

Research on GDP forecast and its relationship with energy consumption

Advances in Applied Economics and Finance

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Field Value
 
Title Research on GDP forecast and its relationship with energy consumption
 
Creator Gu, Ping
Wang, Xinhong
Chen, Yong
 
Subject GDP, Forecast, Energy consumption, Industrial upgrading
 
Description The first part of the paper use the method of the stationary time series to build the 1978-2006 GDP time series model of China. Then carried out an estimate to the regression parameters of the time-series model, and the white noise test of the estimated model, and analyze the test of the regression results. The second part selects China 1990-2009 energy consumption and GDP annual data as the research sample, Using Eviews to do the GDP energy consumption of the time series for unit root test and co-integration test, Engle - Grange causality test, then we found that when GDP and energy consumption are in 5% significance level, there is a co-integration relationship between them; Engle - Grange causality test results show that in 5% of significance level, the energy consumption and GDP exist unidirectional causal relationship.
 
Publisher World Science Publisher
 
Contributor
 
Date 2012-10-21
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/x-download
 
Identifier http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/870
 
Source Advances in Applied Economics and Finance; Vol 2, No 4 (2012); 442-448
2167-6348
 
Language eng
 
Relation http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/870/696
 
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