摘要
区域三产融合是助力乡村振兴的重要举措,农业龙头企业则是促进三产融合的重要推动力。因此,在构建农业龙头企业与相关产业融合程度评价体系指标的基础上,以黑龙江省绥化市北林区为例,采用熵权法对农业龙头企业带动区域三产融合水平进行测度。研究表明,农业龙头企业对带动区域三产融合具有重要影响,但农业龙头企业与各产业的融合程度却存在一定差异。因此建议进一步加快建立多主体利益机制,加速推进产业链协同发展,加大产业政策扶持力度,加强产业专业化人才培养,以及强化基础设施建设与共享等策略。充分发挥农业龙头企业带动区域三产深度融合的引领作用,实现农民增收创收,加快农业产业现代化进程,助力农业强国建设。
Regional integration of three industries is an important measure to promote rural revitalization,and leading agricultural enterprises are an important driving force to promote the integration of three industries.Therefore,on the basis of constructing the evaluation system index of integration degree between leading agricultural enterprises and related industries,taking Beilin District of Suihua City,Heilongjiang Province as an example,entropy weight method was used to measure the integration level of regional three industries driven by leading agricultural enterprises.The research showed that agricultural leading enterprises had an important impact on the integration of regional three industries,but the integration degree of agricultural leading enterprises and other industries were different.Therefore,it was suggested to further accelerate the establishment of a multi-subject interest mechanism,accelerate the coordinated development of the industrial chain,increase industrial policy support,strengthen the training of industrial professionals,and strengthen infrastructure construction and sharing strategies.Give full play to the leading role of leading agricultural enterprises in driving the deep integration of regional tertiary production,realize the increase of farmers'income,accelerate the modernization process of agricultural industry,and help the construction of an agricultural power.
作者
唐林山
李梓萌
王艺涵
崔宁波
TANG Linshan;LI Zimeng;WANG Yihan;CUI Ningbo(School of Economics and Management,Northeast Agricultural University,Harbin 150030,China)
出处
《黑龙江农业科学》
2024年第2期75-80,共6页
Heilongjiang Agricultural Sciences
基金
国家社会科学基金项目(23BJY188)
黑龙江省2023年大学生创新创业训练计划项目(S202310224167)。
关键词
农业龙头企业
区域三产融合
熵权法
leading agricultural enterprises
regional integration of three industries
entropy weight method