WANG Xiao,YUAN Yuting,XU Siyu,et al.Study on Efficiency Measurement of Cold Chain Logistics in Sichuan Province based on Three-Stage DEA Model[J].Journal of Chengdu University of Information Technology,2025,40(01):118-124.[doi:10.16836/j.cnki.jcuit.2025.01.018]
基于三阶段数据包络分析模型的四川省冷链物流效率测度研究
- Title:
- Study on Efficiency Measurement of Cold Chain Logistics in Sichuan Province based on Three-Stage DEA Model
- 文章编号:
- 2096-1618(2025)01-0118-07
- 分类号:
- O29
- 文献标志码:
- A
- 摘要:
- 随着市场经济的发展,居民对高质量物流服务的需求日益增长,提高各地区物流效率显得愈发重要。在评价指标选取科学合理的原则基础上,构建冷链物流投入产出的效率测度指标体系; 通过建立三阶段数据包络分析模型,对四川省18个地级市冷链物流的效率值进行综合测度分析。基于此,提出通过完善相关政策、法规,不断夯实基础建设、完善区域交通网以及加强技术与人才投入等措施,进一步提升四川省冷链物流效率。
- Abstract:
- With the development of the market economy and the growing demand for quality logistics services,improving logistics efficiency in various regions is becoming increasingly important.It establishes a system of indicators for measuring the efficiency of inputs and outputs of cold chain logistics based on the principle of scientific and rational selection of evaluation indicators.Through the establishment of a three-stage DEA logistics efficiency measurement model, cold chain logistics efficiency values are measured and analyzed in depth in 18 prefecture-level cities in Sichuan province.Against this backdrop,this paper highlights the need to further improve the efficiency of cold chain logistics in Sichuan Province by improving relevant policies and regulations,continuously strengthening infrastructure,developing the region’s transportation network, and increasing investment in technology and human resources.
参考文献/References:
[1] 朱梦琳.基于GM(1,1)模型的成都市农产品冷链物流需求预测[J].物流工程与管理,2022,44(11):69-72+78.
[2] Bin L,Jiawei L,Aiqiang C,et al.Selection of the cold logistics model based on the carbon footprint of fruits and vegetables in China[J].Journal of Cleaner Production,2022,334: 130251.
[3] Zheng C,Sun K,Gu Y,et al.Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm[J].Journal of Advanced Transportation,2022:5458760.
[4] Chen J,Liao W,Yu C.Route optimization for cold chain logistics of front warehouses based on traffic congestion and carbon emission[J].Computers & Industrial Engineering,2021,161: 107663.
[5] Zhang S,Chen N,She N,et al.Location optimization of a competitive distribution center for urban cold chain logistics in terms of low-carbon emissions[J].Computers & Industrial Engineering,2021,154: 107120.
[6] 林雅菲.国家物流枢纽建设背景下A公司冷链物流枢纽布局研究[J].中国物流与采购,2022(16):70-72.
[7] 易美,黎聪.共同配送模式下冷链物流的配送优化途径分析[J].中国物流与采购,2022(18):95-96.
[8] 赵旭,潘胡飞.基于ISM的农村冷链物流效率影响因素分析[J].物流技术,2016,35(6):97-100.
[9] 方凯,钟涨宝,王厚俊,等.基于绿色供应链的我国冷链物流企业效率分析[J].农业技术经济,2014(6):45-53.
[10] 尚晓彤.我国农产品冷链物流效率评价及提升对策研究——基于DEA-Malmquist指数[J].物流工程与管理,2023,45(1):81-83+80.
[11] 郑云.碳排放约束下基于三阶段DEA模型的中国省域农产品冷链物流效率评价研究[D].合肥:安徽大学,2021.
[12] 宋冰清.湖北省生鲜农产品冷链物流效率研究[D].淮南:安徽理工大学,2021.
[13] 刘宇.基于三阶段DEA模型的中国出版印刷业效率评价[J].企业经济,2022,41(1):122-130.
[14] 寇儒欣,梅康妮,秘玉清,等.基于三阶段DEA模型的我国中医医院运营效率研究[J].中国医院,2023,27(3):33-36.
[15] Fried H O,Lovell C A K,Schmidt S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of productivity Analysis,2002,17: 157-174.
备注/Memo
收稿日期:2023-06-06
通信作者:李晟东.Email:lsdong@cuit.edu.cn