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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Baixu Zhou & Xinyue Qi & Xinru Hou & Zhili Chen & Jinzhuo Wu, 2023. "Identification and Spatial Correlation of Imported Timber Landing Processing Industrial Clusters in Heilongjiang Province of China," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5061-:d:1095696
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    References listed on IDEAS

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    1. Zhili Chen & Jinzhuo Wu, 2022. "Evolution of Logistics Industry Carbon Emissions in Heilongjiang Province, China," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
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    4. Zhang, Han & Zhao, Qing & Kuuluvainen, Jari & Wang, Changhai & Li, Shiping, 2015. "Determinants of China's lumber import: A bounds test for cointegration with monthly data," Journal of Forest Economics, Elsevier, vol. 21(4), pages 269-282.
    5. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)," Regional Studies, Taylor & Francis Journals, vol. 45(1), pages 89-102.
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