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http://hdl.handle.net/10397/98308
| Title: | An empirical taxonomy of corporate social responsibility in China's manufacturing industries | Authors: | Lau, AKW Lee, PKC Cheng, TCE |
Issue Date: | 1-Jul-2018 | Source: | Journal of cleaner production, 1 July 2018, v. 188, p. 322-338 | Abstract: | Notwithstanding the availability of a substantial body of literature on corporate social responsibility (CSR), the term has remained controversial and ambiguous in terms of its meaning, use, and usefulness. Specifically, the impact of CSR on tangible and intangible returns to Chinese manufacturers has remained uncertain. Drawing on stakeholder theory and CSR literature, we empirically develop an exploratory taxonomy of CSR practices in China's manufacturing industries. By surveying the manufacturers operating in China's food, pharmaceutical, automotive, and clothing industries, we identify three CSR clusters and examine how they are related to their financial, operational, reputational, and social capital performances. Our findings deepen the understanding of CSR adoption patterns by clarifying the consequences of CSR adoption in China's manufacturing industry. | Keywords: | China Cluster analysis Corporate social responsibility Firm performance Survey research Taxonomy |
Publisher: | Elsevier | Journal: | Journal of cleaner production | ISSN: | 0959-6526 | DOI: | 10.1016/j.jclepro.2018.04.010 | Rights: | © 2018 Elsevier Ltd. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Lau, A. K. W., Lee, P. K. C., & Cheng, T. C. E. (2018). An empirical taxonomy of corporate social responsibility in China's manufacturing industries. Journal of Cleaner Production, 188, 322-338 is available at https://doi.org/10.1016/j.jclepro.2018.04.010. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Lee_Empirical_Taxonomy_Corporate.pdf | Pre-Published version | 1.18 MB | Adobe PDF | View/Open |
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