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Low Carbon Supply Chain Performance Evaluation Based On BSC-DEA Method

In: Ltlgb 2012

Author

Listed:
  • Yunlong Li

    (Beijing Jiaotong University)

  • Xianliang Shi

    (Beijing Jiaotong University)

Abstract

In this paper, based on the previous studies, we use the combination of the Balanced Scorecard (BSC) and Data Envelopment Analysis (DEA) method to study the low carbon supply chain performance evaluation. BSC-DEA model combines both the BSC and DEA common advantage. From the DEA’s perspective, the model classify the input and output indicators to certain grade, for DEA model get a more complete index system and provide a balance constrains for any given DMU. From the perspective of the BSC, the model complement the shortcoming of BSC approach when carry out performance evaluation lack of quantitative analysis, and fulfilling the calculation of the relative effectiveness between the different low carbon supply chain.

Suggested Citation

  • Yunlong Li & Xianliang Shi, 2013. "Low Carbon Supply Chain Performance Evaluation Based On BSC-DEA Method," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 547-552, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34651-4_76
    DOI: 10.1007/978-3-642-34651-4_76
    as

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