State-owned forest farms (SOFFs) help maintain forest ecological security and hold an important strategic position in China’s development. In this study we used 1305 sample data from 16 provinces, a structural equation model (SEM), and a projection pursuit model (PPM) to evaluate the self-development abilities of SOFFs, and used the obstacle model to analyze factors hindering these abilities in various provinces, at different development levels, and with different subordination relationships. The results show that (1) the self-development abilities of SOFFs remain weak, and there are many more provinces with low than with high levels; (2) the subordination relationship significantly affects the self-development ability, which is the highest for municipal SOFFs; and (3) social services, people’s livelihood security, management ability, and forest resources are the main constraints for SOFF’s self-development abilities, and people’s livelihood security has the greatest influence for SOFFs with high self-development abilities, while social services are the most important for those with low self-development abilities.
Evaluation of Self-Development Ability and Study of Its Obstacle Factors for State-Owned Forest Farms: Applying the SEM–PPM