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作 者:刘嘉 万深玮 白英杰 王禹 LIU Jia;WAN Shenwei;BAI Yingjie;WANG Yu(College of Economics and Management,Northeast Forestry University,Harbin 150040,China;School of Agricultural Economics and Rural Development,Renmin University of China,Beijing 100872,China;Jilin Forest Industry Sanchazi Forestry Co.,Ltd.,Baishan,Jilin 134300,China)
机构地区:[1]东北林业大学经济管理学院,哈尔滨150040 [2]中国人民大学农业与农村发展学院,北京100872 [3]吉林森工三岔子林业有限公司,吉林白山134300
出 处:《中国林业经济》2024年第3期63-80,共18页China Forestry Economics
基 金:黑龙江省高校智库开放课题(ZKKF2022174)。
摘 要:以近十年间关于林业经营者参与森林碳汇经营意愿的研究为基础数据库,采用荟萃(Meta)分析方法对影响林业经营者参与森林碳汇经营的关键因素及其差异原因展开探索,并探讨各因素影响效应的动态变化趋势。结果表明:①性别、气候效用和增收效用均在1%的显著性水平上显著,学历、家庭劳动力数量、概念认知和林业培训均在10%的显著性水平上显著,七种因素都表现为显著正向影响。②性别、学历、家庭人均收入、年林业收入、林地总面积、林业培训、概念认知、气候效用和增收效用对林业经营者参与森林碳汇经营意愿的正向影响随着同类研究的引入在总体上呈弱化趋势。年龄、家庭劳动力数量和政府补贴三个因素逐渐不再是影响林业经营者参与森林碳汇经营意愿的有效因素。③调节作用分析结果表明,家庭人均收入的异质性来源于所用软件,学历的异质性来源于所用软件、研究区域和研究对象。With the willingness of forestry operators to participate in forest carbon sequestration management in the past ten years as a database,a Meta-analysis was used to explore the key factors affecting forestry operatorsparticipation in forest carbon sequestration management and the reasons for their differences,and to explore the dynamic trends of the effects of each factor.The results showed that:①Gender,climate utility and income generation utility were all significant at the 1%significance level,while education,number of household labour force,conceptual awareness and forestry training were all significant at the 10%significance level.All seven factors showed significant positive effects.②The positive effects of gender,education,per capita household income,total forest land area,forestry training,conceptual awareness,climate utility and income generation utility on the willingness of forestry operators to participate in forest carbon sequestration management tend to be weaker with the introduction of similar research.Three factors involving age,number of household labour force and government subsidies,gradually ceased to be effective factors influencing the willingness of forestry operators to participate in forest carbon sequestration management.③The results of moderating effect analysis show that the heterogeneity of household per capita income only originated from the software used,and the heterogeneity of education from the software used,the research area and the research object.
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