Identification and Spatial Correlation of Imported Timber Landing Processing Industrial Clusters in Heilongjiang Province of China

Baixu Zhou, Xinyue Qi, Xinru Hou, Zhili Chen and Jinzhuo Wu ()
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Baixu Zhou: College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
Xinyue Qi: College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
Xinru Hou: College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
Zhili Chen: College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
Jinzhuo Wu: College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China

Sustainability, 2023, vol. 15, issue 6, 1-15

Abstract: This paper analyzed the clustering degree and spatial distribution characteristics of the imported timber landing processing industry in China’s Heilongjiang province based on the survey and statistical data during 2019–2021. The location entropy method was used to quantify the clustering degree of timber landing processing. Multi-distance spatial clustering analysis, hotspot analysis, and spatial autocorrection analysis were conducted to identify the spatial pattern of enterprises and analyze the hotspots and spatial correlation among the prefecture-level cities in the region. Results showed that there was obvious industrial agglomeration in imported timber landing processing in Heilongjiang Province, and the overall spatial pattern of the industry showed significant spatial aggregation at different spatial scales. The hotspots were primarily concentrated in the southeast of the province with a high level of industrial development, while the cold spots were primarily in the western and northern parts with a low level of industrial development. The distribution of the imported timber landing processing industry at the provincial level was positively correlated, but not very significantly. There was large spatial heterogeneity for the imported timber landing processing industry. Some suggestions were put forward in order to accelerate the construction of imported timber landing processing industrial clusters in the region.

Keywords: timber imports; landing processing; industrial clusters; spatial pattern (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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