Hubei Province Carbon Emission Factors Affecting The Empirical Research

With the catastrophic climate phenomena became normally and more destructive, governments and academics have paid attention and done research on the causes and mechanism of it. Currently, the general view is that the global warming can cause the catastrophic climate. The global warming and greenhouse gas emissions are closely related. As one of the main greenhouse gas, carbon dioxide has been one of the main targets which are researched by the scholars. Hubei Province as a typical central province is also the main implementation place of the strategy of rising of central China. So, the research of carbon emissions and influencing factors of Hubei is of great significance.This paper analyzes the fossil energy consumption structure and the consumption of fossil energy situation over the years. And then, it calculated carbon emissions data of Hubei Province from1980to2009. According to the STIRPAT analytical framework, the paper classified the carbon emissions factors into three kinds of factors:the population factors, economic development level and technical level. And it made a system analysis of the affecting carbon emissions path and mechanism of the carbon emissions factors. At the same time, it designs indicators that can characterize the carbon impact factors, and combines with the data of Hubei Province to analysis the characteristics of the various indicators in Hubei. With the STIRPAT model, it gets two short-term carbon emissions models with the impact of carbon emission and two long-term carbon emissions models without the impact of carbon emission. And it analyzes the policy implications of the four models. The assumption of fixed energy consumption doesn’t set up now. So, it introduces the energy consumption structure variable (B item) into the long-term carbon emission model. And it analyzes the revised model of long-term carbon emissions of each variable trends and the impact on carbon emission.The studies have shown that in the model of short-term carbon emissions, carbon emission levels are affected by demographic factors, level of economic development, technical level and the previous carbon emission levels. In the long-term carbon emissions model, energy consumption structure directly affects carbon emissions. Remove the carbon emissions of the current that impact the previous issue of carbon emissions and attributed to the influence factors of the three major carbon emissions. That leads to the coefficient of each index increased in varying degress, which are the influencing factors of long-term effects than short-term effects.At the same time, the paper fit the per capita carbon emissions and the level of economic development of the Environmental Kuznets Curve (EKC) of Hubei Province. The results showed that the presence of Hubei Province, the per capita carbon emissions and the level of economic development between the inverted U curve. Finally, the paper proposed to encourage energy saving technology innovation, vigorously develop hydropower, speeding up construction of power grid transformation and continue to accelerate the economic construction and industrial restructuring of Hubei Province, especially to accelerate the development of tertiary industry and policy recommendations.