Abstract
This paper investigates the asymmetric effects of oil price shocks on CO2 emissions in China using a nonlinear autoregressive distributed lags (NARDL) model. By performing the bounds test of the NARDL specification, we found a strong evidence of cointegration among variables, which include CO2 emissions, oil price, and economic growth. Results reveal the existence of nonlinear effects of oil price on CO2 emissions. Findings indicate also that oil price increases and decreases have significant short and long-run effects on CO2 emissions. This paper supports the view that in the long-run an oil price increase, raises CO2 emissions more rapidly than its decline in China.