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基于DEA-Malmquist模型的森林碳汇效率分析

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为探究辽宁省森林碳汇效率,基于DEA-Malmquist模型,对2000-2020年辽宁省14个市区的森林碳汇效率进行了全面评估,包括森林碳汇的静态综合效率及森林碳汇的动态效率变化。结果表明:2000-2020年14个市的森林碳汇综合效率第六次、第七次、第八次、第九次检测均值分别为0。560、0。558、0。589和0。644,表明不同地区森林碳汇效率存在显著差异。2000年以来,政府在林业科技上的投入带来了技术革新,并通过强化林业科技创新体系,显著提高了森林碳汇效率。研究不仅量化了各地区森林碳汇的综合效率,并通过DEA-Malmquist模型识别了影响森林碳汇效率的关键驱动因素,为制定科学的林业管理政策和提升森林生态系统的碳固定能力提供了实证依据。
Analysis of Forest Carbon Sink Efficiency Based on DEA-Malmquist Model
In order to explore the forest carbon sink efficiency in Liaoning Province,based on the DEA-Malmquist model,a comprehensive evaluation was conducted on the forest carbon sink efficiency of 14 urban areas in Liaoning Province from 2000 to 2020,including the static comprehensive efficiency of forest carbon sinks and the dynamic effi-ciency changes of forest carbon sinks.The results showed that from 2000 to 2020,the average values of the sixth,seventh,eighth and ninth detections of the comprehensive efficiency of forest carbon sinks were 0.560,0.558,0.589 and 0.644,respectively,indicating significant differences in forest carbon sink efficiency among different regions.Since 2000,the government's investment in forestry technology has brought about technological innovation and sig-nificantly improved forest carbon sink efficiency by strengthening the forestry technology innovation system.The study not only quantified the comprehensive efficiency of forest carbon sinks in various regions,but also identified the key driving factors affecting forest carbon sink efficiency through the DEA-Malmquist model,providing empirical evidence for formulating scientific forestry management policies and improving the carbon sequestration capacity of forest ecosystems.

DEAMalmquist indexforest carbon sink efficiencystatic analysisdynamic analysis

王冰

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辽宁省林业调查规划监测院,辽宁沈阳 110122

DEA Malmquist指数 森林碳汇效率 静态分析 动态分析

2024

防护林科技
黑龙江省森林与环境科学研究院 国家林业局三北防护林建设局 黑龙江省三北林业建设指导站

防护林科技

影响因子:0.264
ISSN:1005-5215
年,卷(期):2024.(4)
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