Abstract: By using carbon sink and net primary productivity (NPP) methods, this paper calculates the energy footprint in Anhui Province, and includes non-fossil energy consumption in the calculation of energy footprint in order to measure the energy footprint more accurately. The logarithmic mean Divisia index (LMDI) is used to analyze the factors affecting the energy footprint. Pearson correlation coefficient analysis is adopted to explore the effect of non-fossil energy footprint on the total change rate of energy footprint. The results show that compared with the carbon sink method, the NPP method considers the influence of regional comprehensive carbon absorption capacity and land use changes, and the calculation results are more accurate. The energy footprint of Anhui Province including non-fossil energy footprint is calculated by NPP method, and it is shown that the energy footprint of Anhui Province increased by $ 511.25 \times 10^{4} $ hm $ ^{2} $ from 2009 to 2016, with an average annual growth rate of 5.02%. Energy intensity accounted for 94.35% of the factors that inhibited the growth of energy footprint, with a contribution of -1.57. Economic development accounted for 95.95% of the factors contributing to the growth of the energy footprint, with a contribution of 2.55. The positive effect dominated by economic development was greater than the negative effect dominated by energy intensity, the ratio of the two was 1.74:1.00. The contribution of non-fossil energy footprint was negatively correlated with the total change rate of energy footprint, with a correlation coefficient of -0.54, and that of the coal footprint was positively correlated, with a correlation coefficient of 0.44. Therefore, adjusting the energy structure and developing non-fossil energy can effectively reduce the energy footprint.
Keywords: net primary productivity (NPP); carbon sink method; non-fossil energy; energy footprint; carbon peak
合肥工业大学学报自科版