VAR-Based Research on Energy Consumption in China

Author

Jian Jin ; Yao Chen

Author_Institution

Coll. of Econ., Hebei Univ., Baoding, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1746

Lastpage

1749

Abstract

This paper adopted Vector Auto-regression (VAR) Model to carry out a research on the energy consumption in China during 1983-2009. Cointegration Test, Impulse Response Function and Variance Decomposition are used to analyze the effect of total energy production, economic growth and improved living standards on China´s energy consumption. It shows that there is a long-term equilibrium relationship between China´s energy consumption, total energy production, economic growth and improved living standards. Dynamic analysis of Impulse Response Function and Variance Decomposition shows the effect of the impact and influence degree on energy consumption.

Keywords

econometrics; power consumption; transient response; China; VAR-based research; economic growth; energy consumption; energy production; impulse response function; variance decomposition; vector auto-regression model; Economics; Energy consumption; Production; Reactive power; Standards; Time series analysis; Vectors; Cointegration Test; Impulse Response Function; Variance Decomposition; Vector Auto-regression Model; energy consumption;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.456

Filename

6643375