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Environmentally Responsible or Irresponsible: Political Connections and Organizational Visibility

Published online by Cambridge University Press:  24 July 2025

Yuxuan Li
Affiliation:
Ludong University, China
Xin Miao*
Affiliation:
Harbin Institute of Technology, China
Christina W. Y. Wong
Affiliation:
The Hong Kong Polytechnic University, Hong Kong,
Zhou Liang
Affiliation:
Beijing Institute of Technology, China
*
Corresponding author: Xin Miao (miaoxin@hit.edu.cn)
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Abstract

Grounded in institutional theory, this study delves into the heterogeneous responses of politically connected top executives (PCTEs) to uniform institutional requirements for corporate environmental responsibility (CER). Specifically, we scrutinized the moderating role of organizational visibility in shaping the association between PCTEs and both environmentally responsible and irresponsible practices. Analyzing data from listed Chinese firms in heavily polluting industries spanning from 2010 to 2018, the findings indicate that PCTEs contribute to an increase in firms’ environmentally responsible activities and a decrease in their environmentally irresponsible activities. Notably, the impact on environmentally responsible activities is significant only for privately controlled PCTEs. Furthermore, the moderating influence of organizational visibility is validated. The implications of these findings for the broader research on political connections and CER are thoroughly discussed.

摘要

摘要

本研究基于制度理论, 探讨了具有政治关联的企业高管(PCTE)在面对统一的企业环境责任(CER)制度要求时的不同反应。具体而言, 考察了组织可见性在PCTEs与环境责任行为和环境不负责任行为之间关系中的调节作用。通过分析2010年至2018年中国重污染行业上市公司的数据, 研究发现, PCTEs有助于企业强化环境责任行为, 并减少环境不负责任行为。然而, 对环境责任行为的正向影响仅在私有企业的PCTEs中显著。此外, 研究进一步验证了组织可见性的调节作用。详细讨论了这些发现对政治关联与企业环境责任领域更广泛的研究启示。

Information

Type
Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of International Association for Chinese Management Research.
Figure 0

Figure 1. Distribution of PCTEs by industry

Figure 1

Table 1. Descriptive statistics and correlations

Figure 2

Table 2. Estimates from FE regression of PCTEs on a firm’s CER

Figure 3

Table 3. Robustness tests: application of systematic GMM and alternative measures for PCTEs and CER