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Corporate social responsibility and financial performance: event study cases

Author

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  • Yu-Shan Wang

    (National Kaohsiung First University of Science and Technology)

  • Yi-Jie Chen

    (Cal-Comp Electronics (Thailand) Public Company Limited)

Abstract

This paper examines how the U.S. capital market perceives corporate social responsibilities (CSRs) by examining the constituent companies of the Dow Jones Sustainability Index (DJSI) and explores whether the implementation of CSR policies and verification by independent organizations contribute to variances in financial performance . This paper also examines different events (i.e., nominations, inclusions, and awards) in the analysis of how much importance investors place on CSR. The results show that investors do not exhibit significant recognition of U.S. companies included in the DJSI. However, when CSR becomes common practice within a given industry, certification by independent third parties regarding CSR policies conveys actual benefits to corporate performance. In addition, this paper compares degrees of CSR recognition between investors in the United States and investors in Taiwan. This study uses the Awards of Excellence in Corporate Social Responsibility given by Common Wealth Magazine to assess whether investors form different expectations of CSR based on company size. The results indicate that Taiwanese investors are increasingly aware of CSRs and the awards received by mid-sized companies show significant impacts. Changes in share prices for mid-sized companies are slower than for large companies. This paper argues that CSR policies not only enhance reputation but also lead to good financial performance. Companies are encouraged to take an active attitude toward CSR by understanding the relevant costs.

Suggested Citation

  • Yu-Shan Wang & Yi-Jie Chen, 2017. "Corporate social responsibility and financial performance: event study cases," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 193-219, July.
  • Handle: RePEc:spr:jeicoo:v:12:y:2017:i:2:d:10.1007_s11403-015-0161-9
    DOI: 10.1007/s11403-015-0161-9
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    Cited by:

    1. Gebhardt, Beate & Hellstern, Laura, 2023. "Die Kraft von Awards. Umfrage unter Unternehmen und Vergabeinstitutionen in Deutschland 2023," Working Papers 338798, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
    2. Carlos Lassala & Andreea Apetrei & Juan Sapena, 2017. "Sustainability Matter and Financial Performance of Companies," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    3. Weihua Liu & Wanying Wei & Xiaoyu Yan & Di Wang, 2019. "Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    4. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event stu," Annals of Tourism Research, Elsevier, vol. 95(C).
    5. Sebastianus Laurens & Etty Murwaningsari, 2021. "Capital and sustainability on performance: The Mediating Effect of Governance," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 333-344, November.
    6. repec:thr:techub:10025:y:2021:i:1:p:333-344 is not listed on IDEAS
    7. V. G. Kogdenko & N. A. Kazakova, 2023. "Substantiation of Parameters of Environmental Security and Sustainability of the Development of the Metallurgical Industry," Studies on Russian Economic Development, Springer, vol. 34(1), pages 115-123, February.

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    More about this item

    Keywords

    Corporate social responsibility; Financial performance; Taiwan; DJSI;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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