| （Institute of Higher Education，Dalian University of Technology，Dalian 116024，China) Abstract: By using the DEA-Tobit model, based on the data of the sixth national sports land survey in China in 2014, the authors analyzed the sports land resource allocation efficiencies of 31 provinces and autonomous regions, and affecting fac-tors. This research shows that Chinese sports land resource allocation efficiencies were generally low, and the differences between regions were significant, only 12 regions were allocation valid, 19 regions were in an allocation invalid condition, the comprehensive efficiency was 0.786 9±0.255 9. From the perspective of comprehensive allocation efficiency, the fac-tors that caused invalid resource allocation were different, invalid resource allocation was caused by irrational sports fiscal allocation scale in 7 provinces, by such double factors as the lack of fiscal management resources and insufficient resource input in 12 provinces and autonomous regions; from the perspective of scale benefit changing, 4 provinces were at a scale benefit progressively increasing stage, should continue to increase input, expand the land scale, and increase the allocation efficiency; 15 provinces and autonomous regions were at a scale benefit progressively decreasing stage, should control the total input volume, adjust the investment scale, and optimize the resource allocation ratio; from the perspective of external affecting factors, regional economy development level, population density and geographical area produced a significant ef-fect on land resource allocation efficiency to different extents. Proposals: various regions establish sports land input policies and allocation plans, perfect the land investment system and supervision system, establish a land input performance and evaluation mechanism, and effectively increase the Chinese sports land resource allocation efficiency.
Key words: sports land management；resource allocation efficiency；DEA model；data envelopment analysis；China |
