By using the data of net primary productivity (NPP) of vegetation from 2000 to 2012, which was calculated by GLOPEM-CEVSA coupling model based on remote sensing and ecological process, the evolution pattern of NPP was analyzed from the temporal and spatial aspects based on the macroscopic perspective, and its relationships with the main climatic factors (annual average air temperature, annual precipitation and annual sunshine-time number) were also analyzed. The above results provided the theory support to the control of fine state of ecological system and adjustment of the ecological system in Huainan coal mining area. By comparing with the MODIS NPP data and estimating the farmland NPP based on the grain yield, the results indicated the effectiveness of the GLOPEM-CEVSA model. Then, a linear regression method was employed to analyze the variations of annual NPP with time, and the average and difference method were used to analyze the spatial distribution characteristics of NPP. Finally, the Pearson correlation coefficient and partial correlation coefficient were made use of analyzing the correlation between annual NPP and annual average temperature, annual precipitation and annual sunshine hours. The results showed that for 13 years, the average annual net primary productivity of vegetation (by C) in the mining area is 697.64 g·m~(-2)·a~(-1), regional average annual NPP was 1.389 Tg·a~(-1); annual NPP increased from 1.103 Tg·a~(-1) in 2000 to 1.452 Tg·a~(-1) in 2012 with a fluctuation trend of slow growth, and the average annual growth rate is 0.0235 Tg. From the spatial distribution view, NPP distribution pattern was closely related to land use. With the development of the construction of mining area and town, NPP in the above areas decreased significantly, but then NPP in the farming district is weakly increased. By the analyzing correlation with the climate factors, the results showed that there was a weak positive correlation between annual NPP and annual average temperature, whose correlation coefficient was 0.125 (P=0.683); there was medium intensity correlation between annual NPP and annual precipitation, whose the correlation coefficient was 0.522 (P=0.067); there was no correlation between annual NPP and annual sunshine-time number.