Based on the non radial and non angle SBM model, this paper estimates the efficiency of low carbon economic growth in various provinces of China during 1998-2015. Then on the basis of analyzing the regional difference and spatial correlation of low carbon economic growth efficiency, this paper builds the spatial panel data model and empirically examines the effect of financial development and technological progress on the low carbon economic growth efficiency. Empirical results show that:during the sample period, China's low carbon economy growth efficiency shows strong provincial differences. The provinces of higher low carbon economy growth efficiency are mostly located in the eastern coastal areas, that of midwest provinces in inland of Ministry of Chinese is relatively lower. The regional low carbon economic growth efficiency is not randomly distributed in space, and the spatial imitation effect of the neighboring provinces is strong. The results of the spatial model show that, the scale of financial development has no significant effect on low carbon economic growth efficiency, while the financial development structure has a significant positive impact on it. Technical progress in the characterization of patent licensing, foreign trade and foreign direct investment can significantly improve the low carbon economic growth efficiency. In addition, human capital has a significant positive impact on the development of low carbon economy, while energy consumption structure, government intervention and urbanization have a significant inhibitory effect on the development of low carbon economy.