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林业科学 ›› 2025, Vol. 61 ›› Issue (11): 181-199.doi: 10.11707/j.1001-7488.LYKX20240573

• 研究论文 • 上一篇    下一篇

林业数智化对林业新质生产力的影响机制

李洪敏1,张雨晨1,米红1,2,*(),马国勇1()   

  1. 1. 东北林业大学经济管理学院 哈尔滨 150040
    2. 浙江大学公共管理学院 杭州 310058
  • 收稿日期:2024-09-30 修回日期:2025-03-04 出版日期:2025-11-25 发布日期:2025-12-11
  • 通讯作者: 米红 E-mail:spsswork@zju.edu.cn;374183628@qq.com
  • 基金资助:
    国家自然科学基金项目(72201054);黑龙江省自然科学基金优秀青年项目(YQ2022G001);黑龙江省哲学社会科学研究规划项目(22GLC278)。

Impact Mechanisms of Forestry Digitalization and Intellectualization on Forestry New Quality Productive Forces

Hongmin Li1,Yuchen Zhang1,Hong Mi1,2,*(),Guoyong Ma1()   

  1. 1. College of Economics and Management, Northeast Forestry University Harbin 150040
    2. School of Public Affairs, Zhejiang University Hangzhou 310058
  • Received:2024-09-30 Revised:2025-03-04 Online:2025-11-25 Published:2025-12-11
  • Contact: Hong Mi E-mail:spsswork@zju.edu.cn;374183628@qq.com

摘要:

目的: 在新一轮数智化革命与林业发展加速融合的背景下,探究林业数智化对林业新质生产力的影响机制,为林业数智化推动林业新质生产力发展提供科学依据。方法: 基于2011—2022年中国29个省份面板数据,构建林业数智化和林业新质生产力评价指标体系,采用基于相对熵距离的动态改进TOPSIS法测度其发展水平,运用双向固定效应模型、中介效应模型、门槛效应模型和空间杜宾模型等方法分析林业数智化对林业新质生产力的影响机制。结果: 1) 中国29个省份的林业新质生产力和林业数智化水平呈波动上升趋势,且区域差异明显;2) 林业数智化能够显著促进林业新质生产力发展,林业数智化对林业新质生产力发展的促进作用存在基于林业产业结构升级的门槛效应;3) 林业数智化可通过推动林业产业结构升级、生产要素配置创新和林业生态效益提升间接促进林业新质生产力发展;4) 林业数智化对林业新质生产力的正向影响在东部地区、林业数智化高水平地区和林业加工制造型地区更为显著;5) 林业新质生产力存在显著的空间集聚特征,林业数智化对林业新质生产力存在正向的空间溢出效应。结论: 中国29个省份林业数智化对林业新质生产力发展具有显著的促进作用。需加强林业技术研发创新,加大林业数智化投入和专业人才培养力度,促进林业生产要素升级与产业结构优化,提升生态效益;需强化邻近地区林业产业合作交流,推动区域协同发展;同时,政策制定需结合区域特征、数智化水平和产业结构差异,实施针对性措施,以林业数智化赋能林业新质生产力发展。

关键词: 林业新质生产力, 林业数智化, 林业产业结构升级, 机制检验

Abstract:

Objective: Against the backdrop of accelerating integration between the new wave of digital intelligence revolution and forestry development, this study investigates the impact mechanisms of forestry digitalization and intellectualization on forestry new quality productive forces, aiming to offer a scientific basis for advancing forestry development through digital intelligence. Method: Based on the panel data of 29 provinces in China from 2011 to 2022, the evaluation indicator system of forestry digitalization and intellectualization and forestry new quality productive forces were constructed and their development levels were measured by the dynamically improved TOPSIS method based on relative entropy distance. Two-way fixed-effects model, mediated-effects model, threshold-effects model and spatial Durbin model were used to analyze the impact mechanisms of forestry digitalization and intellectualization on forestry new quality productive forces. Result: 1) Forestry new quality productive forces and digital intelligence levels in China’s 29 provinces demonstrated fluctuating upward trend with pronounced regional disparities. 2) Forestry digitalization and intellectualization can significantly contribute to the development of forestry new quality productive forces; there is a threshold effect based on the upgrading of forestry industry structure for the promotion of forestry new quality productive forces by forestry digitalization and intellectualization. 3) Forestry digitalization and intellectualization can indirectly promote the development of forestry new quality productive forces by promoting the upgrading of forestry industry structure, the innovation of production factor allocation and the enhancement of forestry ecological efficiency. 4) The positive impact of forestry digitalization and intellectualization on new quality productive forces is more pronounced in eastern region, high-level region of forestry digitalization and intellectualization, and forestry processing-manufacturing region. 5) Forestry new quality productivity has significant spatial agglomeration characteristics, and forestry digitalization and intellectualization demonstrates positive spatial spillover effects on forestry new quality productivity. Conclusion: Forestry digitalization and intellectualization in China’s 29 provinces has significantly contributed to the development of forestry new quality productive forces. It is necessary to strengthen technological R&D and innovation, increase forestry digitalization and intellectualization investment and professional personnel training, promote the upgrading of forestry production factors and optimization of industrial structure, and enhance ecological efficiency; strengthen the forestry industry cooperation and exchange in neighboring regions, and promote regional synergistic development. Concurrently, policy formulation must account for regional characteristics, the level of digital intelligence and industrial structure disparities to implement tailored interventions, leveraging forestry digitalization and intellectualization to empower the development of new quality productive forces.

Key words: forestry new quality productive forces, forestry digitalization and intellectualization, the upgrading of forestry industry structure, mechanism testing

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