首页|安徽省大别山连片特困区林业扶贫效率评价——基于超效率SBM-Malmquist指数模型

安徽省大别山连片特困区林业扶贫效率评价——基于超效率SBM-Malmquist指数模型

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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。
Evaluation of the efficiency of forestry poverty alleviation in the Dabie Mountains in Anhui Province:Based on the super efficiency SBM Malmquist index model
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.

contiguous poverty-stricken areasefficiency of forestry poverty alleviationsuper efficiency SBMGlobal Malmquist in-dexDabie MountainAnhui Province

张士菊、吴慧

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中国地质大学(武汉)公共管理学院,武汉 430074

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

国家自然科学基金

71402172

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(4)
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