CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms
Joint Authors
Hu, Yuanlin
Zhang, Jianhua
Wang, Chen
Miao, Chenglin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The upper echelons theory is utilized to establish how CEO’s attributes affect firm’s technological innovation decisions.
The extant literature has largely ignored the impacts of CEO media exposure.
An unbalanced panel data analysis is used to examine the effects of CEO media exposure on Chinese polluting firm’s green technological innovation.
It is illustrated that CEO media exposure generally enhances Chinese polluting firms’ green technological innovation decisions.
In addition, we find that firms with state ownership and environmental regulations all moderate positively the relationship between CEO media exposure and green technological innovation.
The research suggests that CEO media exposure appears to be a stimulus to firm’s green technological innovation decisions.
American Psychological Association (APA)
Wang, Chen& Hu, Yuanlin& Zhang, Jianhua& Miao, Chenglin. 2020. CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1200994
Modern Language Association (MLA)
Wang, Chen…[et al.]. CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1200994
American Medical Association (AMA)
Wang, Chen& Hu, Yuanlin& Zhang, Jianhua& Miao, Chenglin. CEO Media Exposure and Green Technological Innovation Decision: Evidence from Chinese Polluting Firms. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1200994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200994
