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Can I read The Causality between Energy Consumption and Economic Growth in China: Using Panel Method in a Multivariate Framework on EtoBox?
The Causality between Energy Consumption and Economic Growth in China: Using Panel Method in a Multivariate Framework by Yang Shuyun; Yu Donghu is a Engineering article available to read on EtoBox.
What is The Causality between Energy Consumption and Economic Growth in China: Using Panel Method in a Multivariate Framework about?
The global energy issues have stimulated increasing research interest in the linkages between the energy consumption and economic growth. As the biggest developing country , China has surpassed United States to be the world's largest energy consumption country. This paper examines the casuality between GDP and energy consumption by using updated China provincial panel data for the period 1985-2007 within a multivariate framework by adopting Pedroni's panel methodology. The results show that cointegration is present between real GDP, energy consumption, the labor force, and real gross fixed capital. The results of Granger-causality test indicate the presence of Bi-directional causality between energy consumption and economic growth which supports the feed back hypothesis.Economic interpretations of the empirical results are also presented.
Who reads The Causality between Energy Consumption and Economic Growth in China: Using Panel Method in a Multivariate Framework?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Yang Shuyun; Yu Donghu
- Publisher
- Elsevier ; Elsevier BV (ISSN 1876-6102)
- Published
- 2011
- Language
- EN
- Field
- Engineering (Physical Sciences)