Abstract
In order to achieve better economic and environmental performance, more and more agricultural enterprises implement green supply chain management. It is very necessary for firms to develop the performance evaluation system for green supply chain of agricultural products in order to achieve the economic and ecological benefits. Based on the study of the content of agricultural products green supply chain, the paper develops the model of performance evaluation system for green supply chain of agricultural products. The results show that the system of performance evaluation for green supply chain of agricultural products includes process indicators, customer service, and management index.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nikbakhsh E. Green supply chain management. In: Contributions in management science, Springer, 2009, p.195-220.
Adelina W, Kusumastuti RD. Green supply chain management strategy selection using analytic network process: case study at PT XYZ, IOP Publishing, 2017.
Kaplan R, Norton D. The Balanced Scorecard. Technometrics 1996;40(3):266.
Yamao M, Hosono K. Factors affecting the implementation of Good Agricultural Practices (GAP) among coffee farmers in Chumphon Province, Thailand. Am J Rural Dev. 2014;2(02):34–9.
Acknowledgements
This work was supported by the major social science projects of Tianjin Education Commission in 2018 (2018JWZD18).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, G., Su, S.S., Feng, Q. (2020). Performance Evaluation System for Agricultural Products Green Supply Chain. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_42
Download citation
DOI: https://doi.org/10.1007/978-981-15-0238-5_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0237-8
Online ISBN: 978-981-15-0238-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)