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东北稻米产业链收益分配研究——以黑龙江省为例
寇光涛, 卢凤君, 刘晴, 张国志
0
(中国农业大学 经济管理学院, 北京 100083)
摘要:
针对东北稻米产业链的各环节收益分配不合理的问题,以黑龙江省为例,全面剖析稻米生产、加工、销售3个环节的成本收益状况及产业链的利润分配格局。结果表明:目前水稻种植者、加工企业和超市的收益比例分别为47.2%、4.9%和47.9%;基于Shapley值法按照贡献度对现有收益分配格局进行调整,3个经济主体的收益分配比例分别为44.3%、18.4%和37.3%;利用多级综合模糊评价对各环节风险系数进行求证,3者之间的收益比例分别为49.4%、16.2%和34.4%;最后针对链条环节关系松散、风险防控能力弱、链条增值空间低等提出以下建议:构建合理的利益分配机制、提高农业保险支持力度、加大产品的创新投入、强化产业品牌增值等。
关键词:  稻米  产业链  收益分配  Shapley值法  多级综合模糊评价
DOI:10.11841/j.issn.1007-4333.2017.04.16
投稿时间:2016-03-29
基金项目:北京市科学研究与研究生培养共建项目(2015230599);北京市软科学研究专项(Z121108002212039)
Profit distribution of Northeast rice industry chain: A case study of Heilongjiang Province
KOU Guangtao, LU Fengjun, LIU Qing, ZHANG Guozhi
(College of Economics and Management, China Agricultural University, Beijing 100083, China)
Abstract:
Aim at the problem of unreasonable profit distribution in Northeast rice industry chain,deep investigation of rice industry chain in Heilongjiang Province is conducted.The cost,income and profit distribution pattern are analyzed based on rice production,processing,sales of rice industry.The results showed that the percentage of the farmers,processed enterprises and supermarkets are 47.2%,4.9% and 47.9%,respectively;Shapley value is used to adjust profit allocation plan based on the contribution of each factor in supply chain and the income distribution ratio of three economic agents are 44.3%,18.4% and 37.3%,respectively.Further adjustment of the factors of the multilevel fuzzy evaluation method resulted that:Farmers get 49.4% profit of the completely dairy chain;Processing enterprises get 16.2%;And supermarkets get 24.4%.Finally,aiming at the aspects of the chain loose member relations,weak risk control ability and low chain value-added space,reasonable policy recommendations are put forwarded to build a reasonable income distribution mechanism,enhance insurance policy support policies,increase product innovation investment and strengthen the brand value-added.
Key words:  rice  industry chain  profit distribution  Shapley value  multilevel fuzzy evaluation