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author:

She, M. (She, M..) [1] | Hu, D. (Hu, D..) [2] | Wang, Y. (Wang, Y..) [3] | Li, L. (Li, L..) [4]

Indexed by:

Scopus

Abstract:

Drawing from signaling theory in information economics, this study investigates the mechanism of the government research and development (R&D) subsidies grants by emphasizing the role of the top management team (TMT) characteristics in the context of China. Specifically, we argue that TMT characteristics can serve as valid signals by conveying legitimacy to reduce information asymmetry between firms and governments, which subsequently affect governments’ decisions to grant R&D subsidies. We test the hypotheses using data from Chinese listed firms between 2008 and 2019. The findings indicate that age, tenure, diversity in functional backgrounds, or team size of enterprises’ top managers are positively associated with the amount of government R&D subsidies granted. This positive effect is more pronounced in regions with a lower marketization level. This study contributes to the existing literature on R&D subsidies, and offers insights to both policymakers and firm managers. © 2021, Springer Nature Limited.

Keyword:

China Government R&D subsidies Information asymmetry Signaling theory TMT characteristics

Community:

  • [ 1 ] [She, M.]College of Management Science, Chengdu University of Technology, No. 1, East 3rd Road, Sichuan, Chengdu, 610059, China
  • [ 2 ] [Hu, D.]School of Economics and Management, Fuzhou University, University Town, No. 2, XueYuan Road, Fujian, Fuzhou, 350108, China
  • [ 3 ] [Wang, Y.]Business School of Sichuan University, Sichuan University, No. 29, Wangjiang Road, Sichuan, Chengdu, 610064, China
  • [ 4 ] [Li, L.]China Three Gorges Construction Engineering Corporation, Haidian District, No. 1 Yuyuantan South Road, Beijing, 100083, China

Reprint 's Address:

  • [Hu, D.]School of Economics and Management, No. 2, XueYuan Road, Fujian, China

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Source :

Asian Business and Management

ISSN: 1472-4782

Year: 2023

Issue: 1

Volume: 22

Page: 330-353

2 . 2

JCR@2023

2 . 2 0 0

JCR@2023

ESI HC Threshold:29

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 17

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

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