摘要
随着“互联网+”现代农业的普及,小农户通过参与农产品电商活动提升与现代农业发展有机衔接效率的机制逐渐形成。基于2014-2019年江苏、河北和山东等3个省份176个行政村2744户林果种植小农户跟踪调查,采用基于熵值的层次分析法构建小农户和现代农业发展有机衔接三级效率指标体系,从发展能力、组织化程度、增收空间和社会化服务体系等4个方面设置13个微观指标,建立双重差分倾向得分匹配模型考察农产品电商行为对小农户有机衔接现代农业发展效率的处理效应。实证结果表明,小农户和现代农业发展有机衔接的综合效率及发展能力、组织化程度、增收空间和社会化服务体系等细分效率均逐年提升且增速放缓;农产品电商对小农户有机衔接现代农业发展的综合效率具有积极提升作用,对组织化程度和社会化服务体系的影响较为显著,对发展能力和增收空间的影响亟待更长周期的观察。
With the popularization of Internet+modern agriculture,the mechanism of small farmers’promotion of organic link efficiency with modern agricultural development is gradually formed by participating in agricultural products e-commerce.This research followed 2744 small-scaled fruit growers from 176 administrative villages in Jiangsu,Hebei and Shandong Provinces during 2014 to 2019.A three-level evaluation system with 13 micro-indicators of four dimensions(development,organization,income space and socialized service)is constructed by entropy-based analytic hierarchy process to reveal the link efficiency between small farmers and modern agricultural development.Propensity Scoring Matching-Difference in Difference Model is built to confirm the treatment effects of agricultural products e-commerce activities on efficiency of the organic linkage.The empirical results show that the comprehensive link efficiency and its 4 secondary indicators increased by year with a slowing down pace.In addition,agricultural products e-commerce promoted small-farmers’efficiency of organic linkage with Modern Agricultural Development,which has significant impact on organization and socialized service.The impact on development capacity and income growth space needs to be observed for a longer period.
作者
程欣炜
林乐芬
CHENG Xinwei;LIN Lefen
出处
《华中农业大学学报（社会科学版）》
CSSCI
北大核心
2020年第6期37-47,162,共12页
Journal of Huazhong Agricultural University(Social Sciences Edition)
基金
教育部人文社会科学研究项目“基于深度学习的农产品电商风险预警与金融科技对策研究”(18YJC790016)
江苏省统计科学研究基地开放性课题“基于金融数据挖掘的小农户电商参与行为及金融扶贫关联分析”(NYTJ21810)。
关键词
小农户
现代农业发展
有机衔接
农产品电商
双重差分倾向得分匹配
small farmers
modern agricultural development
organic linkage
agricultural products e-commerce
propensity scoring matching-difference in difference
