Objective: The aims of this study are to verify whether there are significant spatial correlation effects, spatial agglomeration effects and spatial spillover effects in the process of forestry economic growth, and to analyze the inner relationship between factor inputs, industrial structure upgrading and forestry economic growth.Method: By taking 40 key state-owned forestry bureaus in Heilongjiang Province as an example, global Moran index was used to verify whether there is spatial auto-correlation effect for forestry economic growth, and whether there are spatial cross-correlation effects with labor, capital, forest management and industrial structure; Local Moran indices were used to test the existence of spatial agglomeration effects for forestry economic growth; Spatial regression models were used to test whether there are spatial spillover effects for forestry economic growth, and the manifestations were discussed.Result: The results showed that global Moran index mean value for labor input growth and forestry gross output growth is negative while the others are positive at 0.10 significance level in general; only 8 forestry bureaus such as Suiling have high growth agglomeration characteristics for local Moran indices at 0.10 significant level; Labor input has significant negative spatial spillover effect, while forestry gross output, capital investment, forest management and industrial structure upgrading have significant positive effects, and the spillover effects are greater than local effects for fixed effect of SDM(spatial Durbin model).Conclusion: Our results demonstrated that there are significant spatial correlation effects between factor inputs, industrial structure upgrading and forestry economic growth, while the spatial agglomeration effects are gradually forming; The marginal effects of factor inputs driving and industrial structure upgrading are mainly manifested through spatial spillover effects. The spatial spillover effects of forestry economic growth in Heilongjiang key state-owned forest areas are essentially knowledge spillover effects, which are embodied in three aspects: assimilation of production contents and management models, convergence of element allocation structure, and synchronization of industrial structure upgrading. © 2020, Editorial Department of Scientia Silvae Sinicae. All right reserved.
