IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i2p665-674.html
   My bibliography  Save this article

Evaluating the green corporate social responsibility of manufacturing corporations from a green industry law perspective

Author

Listed:
  • Wei-Feng Guo
  • Jian Zhou
  • Chih-Lang Yu
  • Sang-Bing Tsai
  • You-Zhi Xue
  • Quan Chen
  • Jiann-Jong Guo
  • Po-Yu Huang
  • Chia-Huei Wu

Abstract

Corporate social responsibility (CSR) refers to corporations exhibiting ethical behaviours towards societal members. This responsibility should be demonstrated towards all stakeholders rather than only stockholders. Corporations should be responsible for the effects that their actions have on stakeholders by assuming a fair and responsible attitude and valuing sustainable development. Corporations that affect their stakeholders must assume their responsibilities by focusing on sustainable development and exhibiting a fair attitude; for example, providing staff members with a positive work environment, introducing green products, sustaining environmental quality, offering satisfactory after-sales services and maintaining positive interaction with the community. Relevant studies that have integrated green production (GP) with CSR evaluation were scarce in the past. Moreover, previous studies regarding standard criteria for CSR evaluation have involved a major shortcoming, in that a majority of these studies have assumed mutual independence and no influencing and causal relationships among CSR criteria. The present study focused on GP and employed a novel decision-making trial and evaluation laboratory method to evaluate and investigate green corporate social responsibility (GCSR) indicators. In addition, the degrees of influence and the causal relationships among GCSR indicators were explored.

Suggested Citation

  • Wei-Feng Guo & Jian Zhou & Chih-Lang Yu & Sang-Bing Tsai & You-Zhi Xue & Quan Chen & Jiann-Jong Guo & Po-Yu Huang & Chia-Huei Wu, 2015. "Evaluating the green corporate social responsibility of manufacturing corporations from a green industry law perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 665-674, January.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:2:p:665-674
    DOI: 10.1080/00207543.2014.972525
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.972525
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2014.972525?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sang-Bing Tsai & Yu-Min Wei & Kuan-Yu Chen & Lei Xu & Peng Du & Hung-Chun Lee, 2016. "Evaluating green suppliers from a green environmental perspective," Environment and Planning B, , vol. 43(5), pages 941-959, September.
    2. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Jia Huang, 2017. "Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach," IJERPH, MDPI, vol. 14(8), pages 1-17, August.
    3. Sang-Bing Tsai & Kuan-Yu Chen & Hongrui Zhao & Yu-Min Wei & Cheng-Kuang Wang & Yuxiang Zheng & Li-Chung Chang & Jiangtao Wang, 2016. "Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-17, December.
    4. Qianwang Deng & Xiahui Liu & Haolan Liao, 2015. "Identifying Critical Factors in the Eco-Efficiency of Remanufacturing Based on the Fuzzy DEMATEL Method," Sustainability, MDPI, vol. 7(11), pages 1-21, November.
    5. Bo Yan & Yanping Liu & Si Liu, 2023. "Corporate social responsibility in longā€term supply chain management," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 17-27, January.
    6. Yu-Hsi Yuan & Sang-Bing Tsai & Chien-Yun Dai & Hsiao-Ming Chen & Wan-Fei Chen & Chia-Huei Wu & Guodong Li & Jiangtao Wang, 2017. "An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-22, September.
    7. Liu, Fuzhen & He, Chaocheng & Lai, Kee-hung, 2024. "Market reaction to responsible production practices adoption: The role of firm size and financial slack," International Journal of Production Economics, Elsevier, vol. 272(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:53:y:2015:i:2:p:665-674. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.