摘要
推动农产品流通助力农产品销售不仅是我国扩大内需的重要内容,也是农业现代化建设的重要环节。基于2008—2018年的统计数据,构建农产品流通效率的指标体系,并采用主成分分析法和偏最小二乘回归方法进行实证分析。研究结果表明:①2008—2018年,我国农产品的流通效率从-1.4893增长到0.7833,总体呈现上升趋势,受供零系数以及库存周转率的变化影响,流通效率具有显著的阶段性特征;②农产品流动效率对城乡居民消费具有积极推动作用,受群体收入支出构成差异和农村消费转移的影响,农产品流通效率对城镇居民消费的影响大于对农村居民消费的影响。建议融合批发与零售渠道的优势,利用大数据平台实施精准销售,发挥电商平台优势并加强政策调控。
Promoting the circulation of agricultural products and helping the sales of agricultural products is not only an important content of expanding domestic demand,but also an important link of agricultural modernization.Based on the data of 2008-2018,the index system of circulation efficiency of agricultural products is constructed,and the principal component analysis method and partial least square regression method are used for empirical analysis.The results show that:①in 2008-2018,the circulation efficiency of agricultural products in China increased from-1.4893 to 0.7833,which is generally on the rise trend.Affected by the change of supply zero coefficient and inventory turnover rate,the circulation efficiency has significant stage characteristics.②The flow efficiency of agricultural products has a positive role in promoting the consumption of urban and rural residents.Influenced by the differences in the composition of group income and expenditure and the transfer of rural consumption,the impact of the flow efficiency of agricultural products on the consumption of urban residents is greater than that of rural residents.It is suggested to integrate the advantages of wholesale and retail channels,use big data platform to achieve accurate sales,give full play to the advantages of e-commerce platform and strengthen policy regulation.
作者
李伟娟
张朋程
LI Weijuan;ZHANG Pengcheng(School of Grammar and Economic Management,Shandong Institute of Petroleum and Chemical Technology,Dongying 257061,China)
出处
《甘肃科学学报》
2022年第4期141-146,共6页
Journal of Gansu Sciences
基金
山东省重点研发计划(软科学)项目“乡村振兴战略下科技创新助推山东省粮食安全与农业绿色发展的协调路径研究”(2021RKY06117)。
关键词
农产品
流通效率
主成分分析法
偏最小二乘回归法
城乡居民消费
Agricultural products
Circulation efficiency
Principal component analysis
Partial least squares regression
Urban and rural comsumer price