Author:
Chen Changjie,Li Shi,Zhang Shijie
Abstract
To improve the efficiency and benefits of the agricultural product supply chain while ensuring its smooth operation and sustainable development, we have established a performance evaluation index system for the agricultural product supply chain in the context of building an agricultural powerhouse. The evaluation model combines principal component analysis, data envelopment analysis, and ideal solution methods, forming a PCA-DEA-TOPSIS three-stage integrated model. In this paper, taking Sichuan Province as an example, we assess the agricultural product supply chain performance of 21 cities (prefectures) in the province and propose several improvement strategies.
Reference15 articles.
1. Saputri Virda Hersy Lutviana, Sutopo Wahyudi, Hisjam Muhammad, Ma’aram Azanizawati. STavana M,Shiraz R K,Hatami-Marbini A, et al. Chance-constrained DEA models with random fuzzy inputs and outputs[J]. Knowledge-Based Systems, 2013, 52(nov.):32-52.
2. ustainable Agri-Food Supply Chain Performance Measurement Model for GMO and Non-G MO Using Data Envelopment Analysis Method[J]. Applied Sciences,2019,9(6).
3. Yihua Zhu, Kai Wang. Empirical study on the performance of agricultural product supply chain integration-taking Jiangsu as an example. Journal of Nanjing Agricultural University (Social Science Edition), 2004(02):42-48.
4. Ying Yu. Agricultural products supply chain performance evaluation from the perspective of “three rural issues”. Development Research, 2011(03):93-96.