摘要
利用安徽省2014—2020年面板数据,结合超效率SBM和Global Malmquist指数模型对安徽省大别山连片特困区12个县林业扶贫的时间和空间效率进行评价,结果显示,安徽省12个县林业扶贫效率较高,且大部分县的林业扶贫效率呈上升趋势;技术效率进步是全要素生产效率提高的主要带动因素;林业经济效率较高的地区,绿化和生态环境建设较好;12个县的林业扶贫效率存在差异,影响因素各异。提出开展特色林业产业扶持,挖掘林业发展的多维潜力;提高林业扶贫技术和规模效率,优化配置林业科技发展要素;科学利用林业扶贫模式,提升林业产业的内生可持续发展;合理规划林业产业资源,努力实现生态保护与巩固脱贫成果的双赢。
Using panel data from Anhui Province from 2014 to 2020,combined with the super efficiency SBM and Global Malmquist index model,the time and spatial efficiency of forestry poverty alleviation in 12 counties in contiguous poverty-stricken areas of the Dabie Mountains in Anhui Province was evaluated.The results showed that the forestry poverty alleviation efficiency was relatively high in 12 counties in Anhui Province,and the forestry poverty alleviation efficiency in most counties was on the rise;technological ef⁃ficiency progress was the main driving factor for the improvement of total factor production efficiency;regions with higher forestry eco⁃nomic efficiency had better greening and ecological environment construction;there were differences in the efficiency of forestry pover⁃ty alleviation among 12 counties,and the influencing factors varied.It was proposed to carry out support for characteristic forestry in⁃dustries and tap into the multidimensional potential of forestry development;improve forestry poverty alleviation technology and scale efficiency,and optimize the allocation of forestry technology development factors;scientifically utilize forestry poverty alleviation mod⁃els to enhance the endogenous sustainable development of the forestry industry;reasonably plan forestry industry resources and strive to achieve a win-win situation of ecological protection and consolidating poverty alleviation achievements.
作者
张士菊
吴慧
ZHANG Shi-ju;WU Hui(School of Public Administration,China University of Geosciences(Wuhan),Wuhan 430074,China)
出处
《湖北农业科学》
2024年第4期191-196,共6页
Hubei Agricultural Sciences
基金
国家自然科学基金项目(71402172)。
关键词
连片特困区
林业扶贫效率
超效率SBM
Global
Malmquist指数
大别山
安徽省
contiguous poverty-stricken areas
efficiency of forestry poverty alleviation
super efficiency SBM
Global Malmquist in⁃dex
Dabie Mountain
Anhui Province