Energy consumption and economic growth in China: A multivariate causality test

Yuan Wang, Yichen Wang, Jing Zhou, Xiaodong Zhu and Genfa Lu

Energy Policy, 2011, vol. 39, issue 7, 4399-4406

Abstract: This study takes a fresh look at the direction of causality between energy consumption and economic growth in China during the period from 1972 to 2006, using a multivariate cointegration approach. Given the weakness associated with the bivariate causality framework, the current study performs a multivariate causality framework by incorporating capital and labor variables into the model between energy consumption and economic growth based on neo-classical aggregate production theory. Using the recently developed autoregressive distributed lag (ARDL) bounds testing approach, a long-run equilibrium cointegration relationship has been found to exist between economic growth and the explanatory variables: energy consumption, capital and employment. Empirical results reveal that the long-run parameter of energy consumption on economic growth in China is approximately 0.15, through a long-run static solution of the estimated ARDL model, and that for the short-run is approximately 0.12 by the error correction model. The study also indicates the existence of short-run and long-run causality running from energy consumption, capital and employment to economic growth. The estimation results imply that energy serves as an important source of economic growth, thus more vigorous energy use and economic development strategies should be adopted for China.

Keywords: Energy; consumption; Autoregressive; distributed; lag; China (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (91)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:39:y:2011:i:7:p:4399-4406

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