管理评论 ›› 2023, Vol. 35 ›› Issue (1): 222-232.

• 组织与战略管理 • 上一篇    下一篇

中国新能源车企的政治关联偏好及其对声誉投资的影响

熊勇清, 张志剑   

  1. 中南大学商学院, 长沙 410083
  • 收稿日期:2020-09-11 出版日期:2023-01-28 发布日期:2023-02-27
  • 通讯作者: 张志剑(通讯作者),中南大学商学院硕士研究生。
  • 作者简介:熊勇清,中南大学商学院教授,博士生导师,博士。
  • 基金资助:
    国家自然科学基金项目(71874208)。

The Political Connection Preferences of Chinese New Energy Vehicle Companies and Their Impacts on Reputation Investments

Xiong Yongqing, Zhang Zhijian   

  1. School of Business, Central South University, Changsha 410083
  • Received:2020-09-11 Online:2023-01-28 Published:2023-02-27

摘要: 有效发挥新能源车企声誉机制的作用,对于减少目前中国新能源车企中存在的一些“骗补谋补”等非道德行为有着积极意义。本文关注到了产业政策实施背景下企业与政府之间常见的亲密关系——政治关联,应用倾向得分匹配法分析了中国新能源车企政治关联偏好对于声誉投资的影响及其不同阶段所表现出来的差异性。研究结果表明:中国新能源车企总体上具有建立政治关联的偏好,政治关联偏好对于新能源车企面向政府和社会公众的声誉投资具有促进作用,但对于面向消费者的声誉投资促进作用不明显。然而,伴随着新能源汽车产业的发展,政治关联偏好对于新能源车企声誉投资的正向促进作用逐渐减弱。中国新能源汽车产业应有效发挥政治关联对于新能源车企声誉投资影响的积极作用。

关键词: 新能源汽车, 政治关联偏好, 声誉投资, 倾向得分匹配法

Abstract: The reputation mechanism of new energy vehicle (NEV) companies can effectively reduce unethical behaviors such as cheating and subsidy seeking in Chinese NEV companies. This paper focuses on the degree of political connection, which is the most common close relationship between companies and the government under the background of industrial policy implementation, and uses the propensity score matching method to analyze the influence of political connection preferences of Chinese NEV companies on reputation investments and its stage differences. The results reveal that Chinese NEV companies generally have a preference for establishing political connection that can promote reputation investments of both the government and the public, but the preference has no obvious effect on the reputation investments of consumers. However, with the development of the NEV industry, the positive promoting effect of political connection preferences on reputation investments gradually weakens. Thus, the Chinese NEV industry should exploit use of the positive effect of political connection on reputation investments.

Key words: new energy vehicles(NEVs), political connection preferences, reputation investments, propensity score matching(PSM)