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International Conference on Mechatronics and Intelligent Robotics

ICMIR 2019: Recent Developments in Mechatronics and Intelligent Robotics pp 423–429Cite as

Performance Evaluation System for Agricultural Products Green Supply Chain

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1060))

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.

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References

  1. Nikbakhsh E. Green supply chain management. In: Contributions in management science, Springer, 2009, p.195-220.

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  2. Adelina W, Kusumastuti RD. Green supply chain management strategy selection using analytic network process: case study at PT XYZ, IOP Publishing, 2017.

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  3. Kaplan R, Norton D. The Balanced Scorecard. Technometrics 1996;40(3):266.

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  4. 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.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the major social science projects of Tianjin Education Commission in 2018 (2018JWZD18).

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Authors and Affiliations

  1. School of Economy and Management, Tianjin Agricultural University, Jinjing Road 22 in Xiqing District, Tianjin, 300384, China

    Gang Liu, Shuang Shuang Su & Qun Feng

Authors
  1. Gang Liu
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  2. Shuang Shuang Su
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  3. Qun Feng
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Corresponding author

Correspondence to Gang Liu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, USA

    John Wang

  3. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  4. Department of Information Technology, Techno India College of Technology, Durgapur, Kolkata, India

    Nilanjan Dey

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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

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