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Spatial Distribution of Development Types of Forestry-Ecological-Culture Industries in Chinese Provinces

Author

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  • Luyu Huang

    (School of Economics and Management, Northeast Forestry University, Harbin 150040, China
    School of Marxism, Heilongjiang Bayi Agricultural University, Daqing 163319, China)

  • Guochun Wu

    (School of Economics and Management, Northeast Forestry University, Harbin 150040, China)

  • Yukun Cao

    (School of Economics and Management, Northeast Forestry University, Harbin 150040, China)

Abstract

It is vital to promote the sustainable economic and social development and ecological culture prosperity of forest areas in various regions to scientifically and objectively understand the development status of forestry-ecological-culture industries in all provinces (districts and cities) of China. It is also important to clarify the advantages of industrial development in various regions. Based on the comprehensive consideration of economic, social, and political factors, the evaluation index system of forestry-ecological-culture industry, which includes industrial productivity, industrial influence, industrial and driving force, is constructed in this study. Furthermore, the development of forestry-ecological-culture industry in 31 provinces and regions of China from 2014 to 2019 is analyzed by cluster analysis. The analysis categorized the industries into four development types: very high level developed, high level developed, medium level developed, and low level developed according to the principal component score, which sums up the characteristics of various types of industrial development. The results show that the forestry-ecological-culture industry in China presents the spatial distribution of “east high and west low”, which is related to the difference in regional economic development level. Furthermore, the advantage of resource endowment is not clear, the gap between provinces and regions is large, and the overall development level of industry is relatively low. The findings of this study provide theory-based guidance and policy suggestions for improving the efficiency of industrial development and optimizing spatial distribution of diversified industrial development.

Suggested Citation

  • Luyu Huang & Guochun Wu & Yukun Cao, 2022. "Spatial Distribution of Development Types of Forestry-Ecological-Culture Industries in Chinese Provinces," Sustainability, MDPI, vol. 14(18), pages 1-12, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11566-:d:916010
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    References listed on IDEAS

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    1. Peltoniemi, Mirva, 2013. "Mechanisms of capability evolution in the Finnish forest industry cluster," Journal of Forest Economics, Elsevier, vol. 19(2), pages 190-205.
    2. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
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