Abstract:

In order to study the spatiotemporal pattern and dynamic changes of China's timber market,based on the production data of China's provincial commercial timber from 1997 to 2020,this paper applied the concentration ratio,space Gini coefficient,gravity model,Global Moran's I and local Getis-Ord Gi,combined with ArcGIS and GeoDa analysis software to conduct the research. The results showed that from 1997 to 2020,the concentration ratio of China's timber market increased from 43.62% to 64.10%,and the spatial Gini coefficient increased from 0.044 to 0.129,indicating that the degree of spatial imbalance has increased;The distribution center of gravity has shifted from Shandong Province to Jiangsu,Henan,Hubei and Hunan Provinces;There was a significant spatial autocorrelation between provincial timber markets,with the global Moran's index decreasing from 0.36 in 1997 to 0.22 in 2020;The hot spots changed from Heilongjiang and Jilin Provinces to Yunnan,Guangdong,Guangxi,Hunan and Guizhou Provinces. So the regional distribution difference of China's timber market expanded and the degree of concentration increased;The center of gravity and hot spots of spatial distribution migrated from northeast to southwest;The distribution of China's timber market showed a positive spatial correlation,and the agglomeration area tended to be stable.

Key words: timber market, spatiotemporal pattern, dynamics changes, gravity model, China's provinces