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

Abstract

In this paper, based on the previous studies, we use the combination ofthe Balanced Scorecard (BSC) and Data Envelopment Analysis (DEA) methodto study the low carbon supply chain performance evaluation. BSC-DEAmodel combines both the BSC and DEA common advantage. From the DEA'sperspective, the model classify the input and output indicators tocertain grade, for DEA model get a more complete index system andprovide a balance constrains for any given DMU. From the perspective ofthe BSC, the model complement the shortcoming of BSC approach when carryout performance evaluation lack of quantitative analysis, and fulfillingthe calculation of the relative effectiveness between the different lowcarbon supply chain.