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Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China

1,2,3 and 1,*
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China
Institute for the Economy of Xinjiang Production and Construction Corps, Urumqi 830002, China
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Sustainability 2016, 8(9), 874;
Received: 25 July 2016 / Revised: 10 August 2016 / Accepted: 26 August 2016 / Published: 30 August 2016
(This article belongs to the Section Energy Sustainability)
PDF [545 KB, uploaded 30 August 2016]


This paper uses an autoregressive distributed lag model (ARDL) to examine the dynamic impact of non-fossil energy consumption on carbon dioxide (CO2) emissions in China for a given level of economic growth, trade openness, and energy usage between 1965 and 2014. The results suggest that the variables are in a long-run equilibrium. ARDL estimation indicates that consumption of non-fossil energy plays a crucial role in curbing CO2 emissions in the long run but not in the short term. The results also suggest that, in both the long and short term, energy consumption and trade openness have a negative impact on the reduction of CO2 emissions, while gross domestic product (GDP) per capita increases CO2 emissions only in the short term. Finally, the Granger causality test indicates a bidirectional causality between CO2 emissions and energy consumption. In addition, this study suggests that non-fossil energy is an effective solution to mitigate CO2 emissions, providing useful information for policy-makers wishing to reduce atmospheric CO2. View Full-Text
Keywords: non-fossil energy consumption; CO2 emissions; ARDL model non-fossil energy consumption; CO2 emissions; ARDL model

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Li, D.; Yang, D. Does Non-Fossil Energy Usage Lower CO2 Emissions? Empirical Evidence from China. Sustainability 2016, 8, 874.

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