›› 2020, Vol. 32 ›› Issue (1): 219-234.

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Research on Corporate Social Responsibility Evaluation of Transportation Industry Based on Set Pair Analysis

Yu Fangping1, Liu Longfang1, Meng Bin1, Shi Baofeng2   

  1. 1. College of Shipping Economics and Management, Dalian Maritime University, Dalian 116026;
    2. College of Economics and Management, Northwest A & F University, Yangling 712100
  • Received:2019-02-28 Online:2020-01-28 Published:2020-01-19

Abstract:

Based on International Standard Organization ISO 26000 and Global Reporting Initiative G4 as well as corporate social respon-sibility practice, this paper constructs 7 criteria layers including environment and economic contribution, and an evaluation system of 51indexes through the review of the domestic and international classic literature, including "handling rate of customer complaint" and so on. Taking 63 listed transportation enterprises as the research object, this paper constructs the evaluation model of corporate social re-sponsibility through set-pair analysis model combining three kinds of single-weighting methods:variation coefficient, index difficulty and entropy method. The innovation and features of this paper are reflected in two aspects. First, through the index score calculated by the rating of enterprises with a specific rankings, we select the same average peak value to determine business rankings and combine the re-sults of the three single-weighting methods:variation coefficient, index difficulty method and entropy method to obtain the only CSR ranking result, thus solving the problem of inconsistent results of different single weighting methods. Second, to ensure the accuracy of combined evaluation results, we judge the consistency of the single evaluation method by the Kendall test before data processing and the second consistency check by the spearman test after data processing, thus solving the problem of uncoordinated data by combining data directly after a single evaluation. The empirical results show that transportation industry performs best in terms of both community devel-opment and human rights performance, and the worst in terms of fair operation. The road transport industry and among the nine sub-sec-tors, the high-speed transport industry performs poorly.

Key words: corporate social responsibility evaluation, transportation industry, set pair analysis, combination evaluation