
Empirical Analysis on the Impact of Energy Output and Industrial Structure Adjustment on Economic Growth in Shanxi Province, China : from the Perspective of SVAR
Author(s) -
Yaru Liu,
Lang Liü
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/680/1/012028
Subject(s) - variance decomposition of forecast errors , vector autoregression , economics , output elasticity , impulse response , restructuring , china , gross domestic product , econometrics , industrial production , secondary sector of the economy , variance (accounting) , empirical research , time series , production (economics) , macroeconomics , economy , mathematics , statistics , geography , mathematical analysis , archaeology , finance , accounting
Based on the time series data of Shanxi Province from 1989 to 2018, this paper constructs the SVAR model (structural Vector autoregression). Using impulse response function, variance decomposition and other tools, this paper makes an empirical study on the relationship between economic growth, industrial structure adjustment and energy output in Shanxi Province. The correlation and contribution rate among energy output, industrial structure adjustment and economic growth are evaluated dynamically. The main conclusions of this paper are as follows: there is a long-term stable relationship among the economic growth, the proportion of the gross output of the secondary industry and the output of the primary energy; when the proportion of the Gross Domestic Product of the secondary industry and the output of the primary energy have a dynamic impact on economic growth, their responses are not the same; by comparison, the impact of industrial restructuring on the economic growth of primary energy is greater than the pulling effect of output.