| Basing on the energy statistics data from2002to2010of Jiangsu Province, first, we arranged and analyzed the structure of energy consumption and industrial energy consumption. Second, we studied and analyzed the characteristics of carbon emissions and industrial carbon emissions, as well as the variation of energy intensity and carbon emission intensity from2002to2010by using the carbon emissions accounting, which is recommended in the IPCC Guidelines. And then we again build a model based on energy consumption carbon footprint to analyze its overall variation, and selected three indicators to study its efficiency. At the same time, by combining the data of the land using in our province and that of the carbon emissions in industrial energy consumption, we studied the impact of changes in land using on carbon footprint and used STIRPAT model to study the impact of changes on carbon emissions from population, wealth and technical factors. We also used CASA mode to study the impact of energy consumption carbon emissions on ecological system vegetation NPP. Finally, by using of the DEA model and the data of province’s resource consumption and environmental pollution, we studied the eco-efficiency of energy consumption carbon footprint.The results indicated that:(1) Total energy consumption and industrial energy consumption were showing a trend of rapid growth with time changed. The main energy consumption decreased in order of coal, crude oil, electricity, coke, diesel, gasoline, fuel oil, liquefied petroleum gas, kerosene and natural gas, in which except fuel oil and liquefied petroleum gas, the other major energy consumption appeared a growing trend.(2) With the continuing growth of energy consumption, total carbon emissions increased from8653.62×104tons in2002to22205.75×104tons in2010, in which coal carbon emissions accounted a dominant position. Energy intensity and carbon emissions intensity decreased rapidly with the rapid growth of the GDP. Because the decline rate of carbon intensity was faster than the growth rate of GDP, the province’s absolute carbon emissions have not been realized yet.(3) Total carbon footprint continued increasing at the average annual growth rate of21.9%. Due to the impacts of land-using structure and changes in its type, carbon footprint ecological deficit rapidly increased from493.62×104hm2in2002to2529.30×104hm2in2010, in which the carbon footprint of the settlements and mining land took up a dominates position.(4) The impact of demographic factors was the most on energy consumption carbon footprint. As it is known, if regional GDP keeps increasing in the future, energy consumption carbon footprint will continue to rise. And because there existe Environmental Kuznets curve between economy and carbon footprint, with the eco-efficiency analysis results, we know that in the next period of time, the ecological environment pressure that the province is facing will slow down.(5) With the rapid growth of carbon emissions, the province’s vegetation NPP values were significantly increasing. The spatial distribution of NPP in2003was mainly concentrated to the north of Changjiang River, whose average was between2233.2-4466.4g/m2a. The vegetation coverage was more uniform in2010, NPP had a significant increase in average between3369.6and6739.3g/m2a, the spatial distribution from north to south showed a gradual increasing trend. The vegetation cover in the northwestern region had a little decrease, while NPP to the north of Changjiang River had a significant growth from2003to2010. |