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Distinguishing True Altruism for Sustainable Development: A Game-Theoretic Approach

In: Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development

Author

Listed:
  • Ram Krishna Vinayak

    (Rama Devi Women’s University, Department of Statistics)

  • Ajit Kumar

    (IGNOU, School of Engineering and Technology)

Abstract

Effective implementation of sustainable development policies often stalls at the community level, where success depends on identifying credible local champions. This study proposes and validates a behavioural-classification mechanism—the Altruism–Neutrality–Selfishness (ANS) experiment—that isolates individuals whose intrinsic motives align with long-horizon ecological goals. A four-set, 20-round ANS game was administered to 167 volunteers across Delhi, Jaipur, Meerut and Bijnor. In each round participants chose to (A) donate to a public “society fund,” (N) abstain, or (S) extract resources; Sets 1–2 were played anonymously to reveal private preferences, whereas Sets 3–4 were played with public scrutiny to test reputation-driven costly signalling. We analyzed cumulative choices using a robust cut-off rule based on the sample median plus one median absolute deviation, producing five mutually exclusive classes: Altruist, Pseudo-altruist, Selfish, Indecisive and Fluctuating. Non-parametric Friedman and Kruskal–Wallis tests confirmed statistically significant differences both within classes (card preferences, p

Suggested Citation

  • Ram Krishna Vinayak & Ajit Kumar, 2026. "Distinguishing True Altruism for Sustainable Development: A Game-Theoretic Approach," Springer Proceedings in Business and Economics, in: Anu Gupta & Ajay Kumar Bansal & Nguyen Tan Huynh & Siti Rochmah Ika (ed.), Proceedings of the 8th International Conference on Corporate Social Responsibility and Sustainable Development, pages 1-16, Springer.
    • Handle: RePEc:spr:prbchp:978-981-95-4017-4_1
    DOI: 10.1007/978-981-95-4017-4_1
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