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

Yunlong Li () and Xianliang Shi
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Yunlong Li: Beijing Jiaotong University
Xianliang Shi: Beijing Jiaotong University

Chapter Chapter 76 in LTLGB 2012, 2013, pp 547-552 from Springer

Abstract: 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.

Keywords: Low carbon supply chain; Balanced score card; Data envelopment analysis; Performance evaluation (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34651-4_76

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DOI: 10.1007/978-3-642-34651-4_76

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