Economic policy uncertainty, CEO characteristics and firm R&D expenditure: a Bayesian analysis

Hui Jiang and Caiyun Liu

Applied Economics, 2020, vol. 52, issue 34, 3709-3731

Abstract: This paper applies a linear Bayesian regression model to study the effects of economic policy uncertainty (EPU) and Chief Executive Officer (CEO) characteristics on firm Research and Development (R&D) expenditure. We specifically analysed data from 1,163 Chinese companies listed as A-shares from 2008–2016. EPU is believed to curtail firm investments as it causes unexpected market conditions. Yet, our findings obtained with Bayesian analysis show a positive relationship between EPU and firm R&D expenditure. Specifically, we found that some CEO attributes (e.g., age, tenure and marketing/sales experience) led to a negative relationship between EPU and firm R&D expenditure, whereas other attributes (e.g., education, overseas study/work experience, product R&D experience, and process engineering experience) lead to a positive relationship. Our findings provide nuanced insights into how different CEO characteristics influence firms’ R&D expenditure in a context of uncertainty.

Date: 2020
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DOI: 10.1080/00036846.2020.1721422

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