TITLE:
Empirical Analysis of Gross Domestic Product and Coal Import Based on VAR Model
AUTHORS:
Shichang Shen, Chao Feng
KEYWORDS:
Coal Imports, Gross Domestic Product, VAR Model, Impulse Response Function
JOURNAL NAME:
Advances in Pure Mathematics,
Vol.9 No.7,
July
31,
2019
ABSTRACT: The speed of China’s economic development is gradually accelerating, and the demand for energy is also constantly increasing, especially the demand for coal. In order to reveal whether the coal imports have an impact on China’s economic development, this paper constructs the VAR(6) model by selecting the quarterly data of coal imports (CIV) and gross domestic product (GDP) from 2002 to 2017, performing ADF (Augmented Dickey-Fuller) stationarity test and Johansen cointegration test. It shows that there is a long-term stable equilibrium relationship between coal imports and GDP. Then the impulse response function is used to obtain the relationship between coal imports and GDP. It is found that the impact of coal imports on GDP is greater than the impact of GDP on coal imports.