Abstract:

Nowadays,the contradiction between economic development and resources environment is increasingly prominent,which makes people pay more and more attention to ecological efficiency.So,for the construction of “twotypes” society and realizing sustainable development,it has an important theoretical significance and policy reference value to accurately evaluate regional ecological efficiency level and analyze its influencing factors.Based on the Chinese provincial statistics about resources,environment and economy in 2010,China provincial ecological efficiency was evaluated,by the use of entropy weight method and grey comprehensive evaluation method.Then,the spatial statistics method and spatial error model was used to empirically analyze China provincial ecological efficiency.The results show as follows.(1) Ecological efficiency  China had a gradient distribution pattern(the east is higher than the west),had significant spatial correlation and clustering,and had an obvious “club convergence” phenomenon.(2)The three factors,such as using foreign capital,human resources,industrial structure,had significant positive impact.(3)The investment,which controled environmental pollution,did not play its due role as expected.(4)The pollution charge system did not  influence regional ecological efficiency significantly.At last,according to the results of empirical analysis,some related policy suggestions were put forward as follows.(1) The pattern of economic development should be transformed and the industrial structure should be upgraded.(2) Foreign capital should be actively and effectively used.(3) The investment to education and scientific research should be increased to improve the quality of the population and the level of science and technology.(4)The management of the investment fund controling environmental pollution and the government departments daily supervision work should be strengthened.(5) It is a systems engineering to improve ecological efficiency,which should take into consideration comprehensively from multiangle.