摘要
为探究农户适应性行为及其对农业产出的影响效应,基于福建省6个县市19个乡镇312户茶农的微观调研数据,采取倾向得分匹配模型,实证分析气候变化适应性行为对茶农收入的影响.研究表明:①面对气候变化及其影响,58.65%的茶农会采取应对措施,41.35%的茶农未采取任何措施.②控制适应性行为内生性后,相较于未采取组茶农而言,采取组茶农茶叶收入水平平均提高了29.01%.基于收入依赖与经营规模的异质性分析,发现相较于全样本而言,收入完全依赖组和经营大规模组茶农具有更高的平均效应值(ATT)值,且不同组间适应性行为对茶农茶叶收入的作用效果从大到小依次为收入完全依赖、大规模、全样本.
In order to explore farmers adaptive behavior and its impact on agricultural output,based on the micro-survey data of 312 tea farmers in 19 townships of 6 counties and cities in Fujian Province,the paper adopts a propensity score matching model to empirically analyze the impact of tea farmers adaptive behavior on income.The research shows that:①In the face of climate change and its impact,58.65%of tea farmers took the countermeasures,while 41.35%of tea farmers have not taken any measures.②After controlling the endogeneity of adaptive behavior,compared with the tea farmers who did not take adaptive measures,the tea income level of tea farmers who took adaptive measures increased by 29.01%.Based on the heterogeneity analysis of income dependence and business scale,it is found that tea farmers in total income dependence group and business scale group had higher ATT value than that of the overall sample.Therefore,the order of the effects of different groups adaptive behaviors on tea farmers income is as follows:total income dependence>large-scale>entire sample.
作者
陈钦萍
刘振滨
王波
石懿
CHEN Qinping;LIU Zhenbin;WANG Bo;SHI Yi(School of Finance,Fuzhou University of International Studies and Trade,Fuzhou 350202,China;College of Public Administration,Shandong Technology and Business University,Yantai Shandong 264005,China;College of Economics and Management,Fujian Agriculture and Forestry University,Fuzhou 350002,China;School of Public Affairs,Zhejiang University,Hangzhou 310058,China)
出处
《西南大学学报(自然科学版)》
CAS
CSCD
北大核心
2024年第8期75-85,共11页
Journal of Southwest University(Natural Science Edition)
基金
国家自然科学基金项目(71773016)
福建省社会科学研究基地重大项目(FJ2022MJDZ022).
关键词
气候变化适应性行为
茶叶收入
倾向得分匹配模型
climate change adaptive behavior
income from tea
tendency scores matching model