Climate Change: The Empirical Study of the Sensitivity Model in China’s Energy Efficiency and Sustainable Development

In the evolution of CO2 emission intensity, population, total CO2 emission, annual GDP growth, and emission per unit energy index is mainly an empirical issue that cannot resolve with uncertainty from the experience of a group of countries at any given period. The current research work considered 32 variables including Climatic, Anthropogenic and Greenhouse gases effects as it affects energy efficiency and sustainable development in China from year 2007 - 2014. The study employed Sensitivity Model Prof. Vester which had a recursive structure of the nine steps thus establishing linkage between greenhouse gases effect and climate change in China so as to evaluate a sustainable indicator in greenhouse gases and change effects. The sensitivity model had system tool that can be directly activated by clicking the recursive buttons which possesses mediative capacity as amajor feature. The results of the impact matrix have high numerical values showing how critical these coefficient variables are to the entire system ranging from highly critical to not critical. Value 2035 for Population represent Highly Critical variable, while 1530, 1435, 1332, 1260, 1184, and 1170 represent critical variables for the Total amount of CO2 emission, Annual GDP growth, Emission per unit energy, Emission intensity, CO2 per capita emission, and Carbon intensity of energy use, in that order respectively. These are the seven most important variables that accounted for climate change in China among which population is the key factor linking other variables to affect climate change in China. Keywords: CO2 emission, emission intensity, global climate change, round/year sensitivity model, variabilit