2011Unpublished venueRequires access

Electric power consumption and economic growth in China: A panel cointegration analysis and causality test

Wen Chen, Zhu Shu-jin, Lai Ming-yong

Open publisher page 0 citations

Abstract

In the empirical documents investigating the relationship between energy consumption and economic growth, the existing researches usually use the econometric methods based on the time series and the power of test is worth doubting. In this paper panel cointegration and Granger causality test are adopted to estimate the relationship and source of causation between Chinese electric power consumption, energy price and economic growth. Panel unit root tests support the stationary of these three variables. However panel cointegration does not provide clearer evidences to show the long-run cointegration relationship among variables above. The empirical results also show the elasticity of income against energy consumption is 0.7702 and the elasticity of energy price is 0.2474. Further Granger causality tests and error correction modeling are implemented to show that there exists bi-directional Granger-causality running between energy consumption and economic growth whenever there exists the cointegration or not.

About this research paper

What this paper is about

In the empirical documents investigating the relationship between energy consumption and economic growth, the existing researches usually use the econometric methods based on the time series and the power of test is worth doubting. In this paper panel cointegration and Granger causality test are adopted to estimate the relationship and source of causation between Chinese electric power consumption, energy price and economic growth. Panel unit root tests support the stationary of these three variables. However panel cointegration does not provide clearer evidences to show the long-run cointegration relationship among variables above. The empirical results also show the elasticity of income against energy consumption is 0.7702 and the elasticity of energy price is 0.2474. Further Granger causality tests and error correction modeling are implemented to show that there exists bi-directional Granger-causality running between energy consumption and economic growth whenever there exists the cointegration or not.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the empirical documents investigating the relationship between energy consumption and economic growth, the existing researches usually use the econometric methods based on the time series and the power of test is worth doubting. In this paper panel cointegration and Granger causality test are adopted to estimate the relationship and source of causation between Chinese electric power consumption, energy price and economic growth. Panel unit root tests support the stationary of these three variables. However panel cointegration does not provide clearer evidences to show the long-run cointegration relationship among variables above. The empirical results also show the elasticity of income against energy consumption is 0.7702 and the elasticity of energy price is 0.2474. Further Granger causality tests and error correction modeling are implemented to show that there exists bi-directional Granger-causality running between energy consumption and economic growth whenever there exists the cointegration or not.

Key concepts: Cointegration, Granger causality, Economics, Econometrics, Unit root, Energy consumption, Unit root test, Causality (physics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Electric power consumption and economic growth in China: A panel cointegration analysis and causality test — Research Paper | ScholarLens