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林业科学 ›› 2025, Vol. 61 ›› Issue (11): 160-180.doi: 10.11707/j.1001-7488.LYKX20240546

• 研究论文 • 上一篇    下一篇

数字新质生产力促进山区林业产业高质量发展的作用机制

孔凡斌1,2,陆雨1,徐彩瑶1,*()   

  1. 1. 浙江农林大学济管理学院/浙江省乡村振兴研究院/“千万工程”研究院 杭州 311300
    2. 南京林业大学数字林业与绿色发展研究院/经济管理学院 南京210037
  • 收稿日期:2024-09-23 修回日期:2024-11-21 出版日期:2025-11-25 发布日期:2025-12-11
  • 通讯作者: 徐彩瑶 E-mail:caiyao@126.com
  • 基金资助:
    国家自然科学基金项目(42301328,42371294,42071283);国家社会科学基金重大项目(23ZDA105)。

Mechanisms of Digital New Quality Productivity in Promoting High-Quality Development of Forestry Industry in Mountainous Areas

Fanbin Kong1,2,Yu Lu1,Caiyao Xu1,*()   

  1. 1. College of Economics and Management/Rural Revitalization Academy of Zhejiang Province/Green Rural Revival Program Academy, Zhejiang A & F University Hangzhou 311300
    2. Institute of Digital Forestry and Green Development/College of Economics and Management, Nanjing Forestry University Nanjing 210037
  • Received:2024-09-23 Revised:2024-11-21 Online:2025-11-25 Published:2025-12-11
  • Contact: Caiyao Xu E-mail:caiyao@126.com

摘要:

目的: 阐明数字新质生产力助力中国式现代化产业体系建设的时代意义,厘清数字新质生产力促进山区林业产业高质量发展的作用机制,丰富和发展林业新质生产力理论和政策研究内涵,为完善林业高质量发展政策体系提供支撑。方法: 基于2011—2022年浙江省山区26县的面板数据,采用中介效应模型和面板门槛效应模型等方法,探讨数字新质生产力对林业产业高质量发展的影响效应及其作用机制。结果: 1) 基准回归分析结果表明,数字新质生产力能够显著提升山区林业产业高质量发展水平。2) 作用机制分析结果表明,数字新质生产力可通过生产要素优化配置、林业人力资本积累和技术创新等路径提升林业产业高质量发展水平。3) 异质性分析结果表明,数字新质生产力的3个维度中,仅数字劳动者和数字劳动对象对林业产业高质量发展具有显著提升作用,数字劳动资料无显著提升作用;数字新质生产力仅对林业产业结构优化和林业产业结构高级化具有显著提升作用;数字新质生产力可同时提升跨越发展县和生态发展县的林业产业高质量发展水平,相较于生态发展县,跨越发展县的提升效应更好。4) 门槛效应分析结果表明,只有当政府保障水平超越门槛值后,才能激发数字新质生产力对林业产业高质量发展的积极作用;当信息化水平越过门槛值时,数字新质生产力对林业产业高质量发展的正向提升作用逐渐减弱。结论: 浙江省山区26县数字新质生产力对林业产业高质量发展具有显著提升作用,生产要素优化配置、林业人力资本积累和技术创新发挥显著中介作用。为充分发挥数字新质生产力对林业产业高质量发展的促进作用,要重点提升对数字化基础设施和专业人才的投入,根据区域差异实施差异化政策,增强生态发展县的数字资源利用效率,确保信息化进程与产业需求相协调;要着力提升政府保障水平,进一步激发数字新质生产力潜力,带动林业产业结构优化和升级,推动形成数字新质生产力赋能林业高质量发展的示范样板。

关键词: 新质生产力, 技术创新, 林业产业, 高质量发展, 生产要素配置

Abstract:

Objective: To clarify the significance of digital new quality productivity in advancing the construction of a modern industrial system with Chinese characteristics, to elucidate the mechanisms by which digital new quality productivity promotes the high-quality development of the forestry industry in mountainous areas, to enrich and advance the theoretical and policy research connotations of forestry new productivity. This provides support for improving the policy framework for high-quality development of the forestry industry. Method: Based on panel data from 26 counties in the mountainous areas of Zhejiang Province from 2011 to 2022, this study employs mediation effect models and panel threshold effect models to explore the impact and mechanisms of digital new quality productivity development on the high-quality development of the forestry industry. Result: 1) The baseline regression analysis shows that digital new quality productivity significantly enhances the high-quality development level of the forestry industry in mountainous areas. 2) The mechanism analysis shows that digital new quality productivity promotes the high-quality development level of the forestry industry through pathways such as production factor optimization, forestry human capital accumulation, and technological innovation. 3) The heterogeneity analysis shows that among the three dimensions of digital new quality productivity, only digital labors and digital labor objects significantly enhance the high-quality development lever of forestry industry, while digital labor materials have no significant effect; the development level of digital new quality productivity significantly improves the optimization of forestry industry structure and upgrading of forestry industry structure; digital new quality productivity enhances the high-quality development of forestry industry in both spanning development counties and ecological development counties, with better effects observed in spanning development counties. 4) The threshold effect analysis shows that the positive effect of digital new quality productivity on the high-quality development of forestry industry is only activated when government support levels surpass the threshold value; as informatization levels exceed the threshold, the positive impact of digital new quality productivity on forestry industry high-quality development gradually weakens. Conclusion: The digital new quality productivity significantly enhances the high-quality development of forestry industry in the 26 mountainous counties of Zhejiang Province. Production factor optimization, forestry human capital accumulation, and technological innovation play significant mediating roles. To fully leverage the role of digital new quality productivity in promoting high-quality development of the forestry industry, it is essential to prioritize investments in digital infrastructure and specialized talent, implement differentiated policies based on regional variations, enhance the efficiency of digital resource utilization in ecological development counties, and ensure that informatization aligns with industrial needs. Efforts should focus on improving government support levels to further unlock the potential of digital new quality productivity, driving forestry industry structure optimization and upgrading, and fostering exemplary models of digital new quality productivity empowering high-quality development of forestry industry.

Key words: new quality productivity, technological innovation, forestry industry, high-quality development, production factor optimization

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