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Scientia Silvae Sinicae ›› 2025, Vol. 61 ›› Issue (3): 199-213.doi: 10.11707/j.1001-7488.LYKX20240307

• Research papers • Previous Articles     Next Articles

Formation Logic, Spatial &Temporal Evolution and Obstacle Factors Analysis of China’s Forestry New Quality Productive Forces

Shuifa Ke1,Shenwei Wan1,Fanbin Kong2,Hongge Zhu3,*()   

  1. 1. School of Agriculture and Rural Development, Renmin University of China Beijing 100872
    2. Institute of Digital Forestry and Green Development, Nanjing Forestry University Nanjing 210037
    3. School of Economics and Management, Northeast Forestry University Harbin 150040
  • Received:2024-05-27 Online:2025-03-25 Published:2025-03-27
  • Contact: Hongge Zhu E-mail:honggebill@163.com

Abstract:

Objective: Based on the logic of the formation of new quality productive forces in forestry, this study constructs an evaluation system for China’s forestry new quality productive forces and captures the spatiotemporal evolution process. It explores how to alleviate the main constraints currently faced by the development of forestry new quality productive forces, providing a reference and decision-making basis for the targeted development of China’s forestry new quality productive forces. Method: First, based on panel data from 31 provinces (municipalities and autonomous regions) in China from 2012 to 2020, the entropy weighting method was applied to assign weights to tertiary indicators, calculating the comprehensive and dimensional development levels of new quality productivity in forestry across regions. Second, kernel density estimation was used to capture the temporal and spatial evolution characteristics of forestry productivity at the national and regional levels. Third, the Dagum Gini coefficient method was employed to calculate and decompose regional disparities in forestry productivity and assess spatial autocorrelation among provinces using Moran’s I. Lastly, obstacle factor identification was utilized to pinpoint the top three factors hindering the development of new-quality productivity in forestry. Result: First, China’s forestry new quality productive forces exhibited an overall upward trend during the sample period, yet the phenomenon of unbalanced and insufficient development was quite evident. Second, the Gini coefficient of forestry new quality productive forces, both within and between regions, has fluctuated and increased, with spatial autocorrelation and clustering characteristics evident among the development levels of forestry new quality productive forces in each province. Third, the study indicates that the development of forestry new quality productive forces is primarily constrained by the unit forestry labor productivity, the proportion of the output value of emerging and new forestry industries, and the value of forest ecosystem services. Conclusion: In the future, First, to enhance the training system required for new forestry workers and strengthen the extension of forestry science and technology. Second, to adjust the industrial structure required for new forestry labor materials and promote the upgrading of the forestry industry. Third, to optimize the policy system required for new forestry labor objects and facilitate the channels of value transformation.

Key words: forestry new productive forces, forest industry, formation logic, spatial & temporal evolution, obstacle factors identification

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