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作 者:杨传艳 马琼[1] 周子渭 YANG Chuanyan;MA Qiong;ZHOU Ziwei(College of Economics and Management,Tarim University,Aral 843300,Xinjiang,China;College of Economics and Management,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
机构地区:[1]塔里木大学经济与管理学院,阿拉尔843300 [2]福建农林大学经济与管理学院,福州350002
出 处:《地理研究》2025年第3期711-730,共20页Geographical Research
基 金:兵团英才支持计划骨干人才项目([2023] 3号)。
摘 要:在农业产业集聚背景下,识别并优化驱动农民经营性收入增长的组态路径至关重要。基于2000—2022年全国的省级面板数据,首先剖析研究区域农业产业集聚与农民经营性收入水平的时空分布特征及其关联性。其次,通过动态模糊集定性比较分析方法(fsQCA),从时空维度考察农业产业集聚与政府、社会和经济框架下十个前因变量在提升农民经营性收入水平中的联动效应。结果表明:(1)全国农民经营性收入水平与农业产业集聚水平的变化趋势密切相关,东北和中西部地区的关联性尤为显著。(2)必要性检验表明,多因素的协同作用是实现农民经营性收入增长的关键,单一因素难以独立发挥作用。(3)充分性检验识别归纳出两种主要的农民经营性收入增长组态路径:集聚型多因素协同驱动路径和非集聚型多因素协同驱动路径。(4)农民经营性收入增长的组态路径具有明显的时间效应,且各区域实现农民经营性收入增长的组态路径存在差异。研究结果为探索农业产业集聚背景下农民经营性收入增长的多元路径提供了新的机遇和实证依据。Promoting farmers'operating income is a core objective of the rural revitalization strategy.In the context of agro-industrial agglomeration,it is crucial to identify and optimize the configurational pathways that drive the growth of farmers'operating income.Based on provincial panel data from 2000 to 2022,this study first analyzes the spatiotemporal distribution characteristics and correlations between agro-industrial agglomeration and farmers'operating income levels in the research area.Next,dynamic fuzzy-set qualitative comparative analysis(fsQCA)is used to examine the synergistic effects of agro-industrial agglomeration and ten antecedent conditions under governmental,social,and economic frameworks in enhancing farmers'operating income levels from a spatiotemporal perspective.The results show that:(1)The national trend of farmers'operating income levels is closely related to changes in the level of agro-industrial agglomeration,with particularly significant correlations in the northeast and central-western regions;(2)Necessity testing indicates that the collaborative effects of multiple factors are key to achieving growth in farmers'operating income,as no single factor can operate independently;(3)Sufficiency testing identifies two main configurational pathways for the growth of farmers'operating income:the agglomeration-based multi-factor collaborative driving path and the non-agglomeration-based multi-factor collaborative driving path;(4)The configurational pathways for enhancing farmers'operating income exhibit significant temporal effects,and there are differences in the configurational paths adopted by different regions in achieving growth in farmers'operating income.The study provides new opportunities and empirical evidence for exploring diverse pathways to promote farmers'operating income growth in the context of agro-industrial agglomeration.
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