We estimated the reduction potential of carbon dioxide emissions in the Chinese textile industry by forecasting the carbon intensity (CO2 emissions/industrial value added) in different scenarios. The Johansen co-integration technique was employed in order to establish the long term equilibrium...

We analyzed the change of energy-related carbon dioxide (CO2) emissions in the Chinese textile industry from 1986 to 2010. Decomposition analysis based on Logarithmic Mean Divisia Index method was applied and the study period was split into five time intervals for easier data management. Results...

Reduction of carbon dioxide emissions without negatively affecting the industrial growth is a dilemma for industries in China. On this issue, an empirical study is provided on the relation between carbon dioxide (CO2) emissions and industrial growth in the Chinese manufacturing sector. The ARDL...

The aim of this paper is to investigate the relationship between renewable energy consumption and economic growth in China for the period 1977–2011. Autoregressive Distributed Lag approach (ARDL) to cointegration and Johansen cointegration techniques are employed by including intermittent...