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林业科学 ›› 2025, Vol. 61 ›› Issue (10): 236-246.doi: 10.11707/j.1001-7488.LYKX20240484

• 研究论文 • 上一篇    

新一轮集体林权制度改革成效、乡镇林业站职能效率和农户增收——基于面板向量自回归模型的实证分析

许毓坤1,薛泽茜2,庄伟卿1,宋立1,黄安胜3,*()   

  1. 1. 福建理工大学互联网经贸学院 福州350014
    2. 福建农林大学计算机与信息学院 福州350002
    3. 福建农林大学公共管理与法学院 福州350002
  • 收稿日期:2024-08-09 出版日期:2025-10-25 发布日期:2025-11-05
  • 通讯作者: 黄安胜 E-mail:haszgfj@163.com
  • 基金资助:
    国家林草软科学研究重大项目“林改背景下科技赋能集体林业发展的路径与机制研究”(2025131002);福建省高等学校新世纪优秀人才支持计划(K80SCC51A)。

Effectiveness of New Round of Collective Forest Tenure Reform, Functional Efficiency of Township Forestry Stations, and Rural Households’ Income Growth: An Empirical Analysis Based on Panel Vector Autoregression Model

Yukun Xu1,Zexi Xue2,Weiqing Zhuang1,Li Song1,Ansheng Huang3,*()   

  1. 1. School of Internet Economics and Trade, Fujian University of Technology Fuzhou 350014
    2. College of Computer and Information Sciences, Fujian Agriculture and Forestry University Fuzhou 350002
    3. School of Public Administration and Law, Fujian Agriculture and Forestry University Fuzhou 350002
  • Received:2024-08-09 Online:2025-10-25 Published:2025-11-05
  • Contact: Ansheng Huang E-mail:haszgfj@163.com

摘要:

目的: 构建“林改?机构?农户”三元分析框架,探讨新一轮集体林权制度改革成效(简称新林改成效)、乡镇林业站职能效率(简称林业站效率)和农户增收的相互影响关系,为集体林权制度改革与发展提供新的视角和实证依据,为深化集体林权制度改革提供政策思路。方法: 基于省级面板数据构建相关指标体系,采用熵权法和超效率SBM模型对新林改成效和林业站效率进行量化评价,建立面板向量自回归模型深入探究新林改成效、林业站效率和农户增收之间的相互影响作用。结果: 1) 新林改成效、林业站效率和农户增收在不同地区呈现出多样化特征,相互间存在一定的正向推动作用。2) 新林改成效和农户增收存在自我强化作用;林业站效率受自身资源分配条件限制,具有短期的自我抑制效应。3) 新林改成效和农户增收在受到各自冲击时,当期均能达到正向最大峰值并可保持3~4期的持续作用;林业站效率在第1期出现负向响应后会变为正向响应,并逐渐衰减趋于平稳。结论: 新林改成效、林业站效率和农户增收三者之间存在相互促进与制约关系。在构建三位一体协同机制的基础上,应充分利用新林改成效的自我强化作用,加强政策协同,持续推进集体林权制度改革;合理配置林业站资源,增加建设投入资金,确保改革成效转化为农户收益;还需制定针对性政策,拓宽农户收入来源,实现农村可持续发展和农户生活水平提高。

关键词: 集体林权制度改革, 乡镇林业站, 农户增收, 向量自回归模型

Abstract:

Objective: This paper constructs a triadic analytical framework of “forest reform-institution-rural households” to explore the mutual influence among the effectiveness of new round of collective forest tenure reform (hereinafter referred to as the effectiveness of the new forest reform), the functional efficiency of township forestry stations (hereinafter referred to as forestry station efficiency), and rural households’ income growth to provide a new perspective and empirical evidence for the reform and development of collective forest tenure, thereby offering policy insights for deepening the reform. Method: This paper adopts Chinese provincial panel data to construct a relevant indicator system. It utilizes the entropy weight method and the super-efficiency model (SBM) to quantitatively evaluate the effectiveness of the new forest reform and forestry station efficiency. Subsequently, a panel vector autoregression (PVAR) model is established to investigate the mutual influence among the effectiveness of the new forest reform, forestry station efficiency, and rural households’ income growth. Result: 1) The effectiveness of the new forest reform, forestry station efficiency, and rural households’ income growth exhibit diversified characteristics across different regions, with a certain positive propelling effect among them. 2) The effectiveness of the new forest reform and rural households’ income growth demonstrate self-reinforcing effects, whereas forestry station efficiency, constrained by its own resource allocation conditions, exhibits a short-term self-inhibiting effect. 3) When impacted by their respective shocks, the effectiveness of the new forest reform and rural households’ income growth can both reach positive maximum peaks in the current period and sustain for 3-4 periods. In contrast, forestry station efficiency exhibits a negative response in the first period, which then turns positive and gradually declines towards stability. Conclusion: There is a mutual promotion and restriction relationship among the effectiveness of the new forest reform, forestry station efficiency, and rural households’ income growth. This paper argues that, based on the construction of a ternary collaborative mechanism, the self-reinforcing effect of the effectiveness of the new forest reform should be fully utilized to strengthen policy coordination and continuously advance collective forest tenure reform. Resources at forestry stations should be allocated reasonably, and construction investment should be increased to ensure that the effectiveness of the reform is translated into rural households’ income. Additionally, targeted policies need to be formulated to broaden rural households’ income sources, thereby achieving rural sustainable development and improving household living standards.

Key words: collective forest tenure reform, township forestry stations, rural households’ income growth, panel vector autoregression (PVAR) model

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