The Impact of Board Diversity on Corporate Performance Based on Neural Network Algorithms

Naijun Hu ()
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Naijun Hu: The Chinese University of Hong Kong

A chapter in Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024), 2024, pp 153-163 from Springer

Abstract: Abstract To uncover the specific impact of board diversity on corporate performance, neural network algorithms were utilized to examine the relationship between diversity indicators such as gender, age, and education, and corporate financial metrics. The results indicate that an appropriate configuration of board diversity significantly enhances the company’s revenue and net profit, suggesting that companies should consider the diverse characteristics of board members to promote long-term development and market competitiveness.

Keywords: board diversity; corporate performance; neural network algorithm (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-548-5_19

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DOI: 10.2991/978-94-6463-548-5_19

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