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Corporate Social Responsibility versus Shareholder Value Maximization: Through the Lens of Hard and Soft Law

Yan, M. ORCID: 0000-0002-3170-0582 (2019). Corporate Social Responsibility versus Shareholder Value Maximization: Through the Lens of Hard and Soft Law. Northwestern Journal of International Law & Business, 40(1), pp. 47-86.

Abstract

Even with a significant increase in the number of firms around the world engaging in corporate social responsibility (“CSR”), many people still perceive CSR as a voluntary commitment and shareholder value maximization (“SVM”) as a mandatory requirement. This paper borrows the concept of hard law and soft law in terms of coerciveness and overturns the stereotype that SVM is a hard-law constraint and CSR a soft-law constraint. The paper first demonstrates that directors of the board are not obliged to maximize shareholder value even in the Anglo-American jurisdictions where shareholder primacy culture is more dominant. Next, the paper critically discusses an enforceable regulatory regime for CSR. After studying various countries’ practices, this paper highlights three main forms of the hard-law approach for CSR: namely through (i) enacting mandatory CSR laws to directly promote socially responsible behavior; (ii) defining minimum standards for corporate behavior to deter socially irresponsible behavior, and/or (iii) mandatory disclosure of CSR-related issues. The conventional (economic) justification for CSR is subsequently challenged, i.e., why we should align CSR with SVM after the above misunderstandings are corrected. More importantly, in addition to overcoming the weakness of soft law’s non-coerciveness, the hard-law approach will also provide additional grounds for furthering CSR.

Publication Type: Article
Additional Information: This Article is brought to you for free and open access by Northwestern Pritzker School of Law Scholarly Commons. Copyright 2019 by Min Yan.
Subjects: K Law > K Law (General)
Departments: The City Law School > Academic Programmes
SWORD Depositor:
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