商业研究

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权力和薪酬双重偏好下的企业经营者行为分析

王新霞   

  1. 西安外国语大学 经济金融学院,西安 710128
  • 收稿日期:2016-12-12 出版日期:2017-03-19
  • 作者简介:王新霞(1985-),女,山东聊城人,西安外国语大学经济金融学院讲师,经济学博士,研究方向:公司治理
  • 基金资助:
    国家自然科学基金项目“风险投资与小微企业创新:增值与盘剥的新视角”,项目编号:71673216;西安外国语大学CFA国际教学研究中心资助。

An Analysis of Enterprise Managers′ Behavior under Dual Preferences of Power and Compensation

WANG Xin-xia   

  1. School of Economics and Finance, Xi′an International Studies University, Xi′an 710128,China
  • Received:2016-12-12 Online:2017-03-19

摘要: 企业经营者具有权力和收益双重偏好,权力因素和薪酬因素交互依存,共同影响经营者行为。通过考察中国企业经营者权力配置和薪酬设计特征,本文就权力、薪酬对经营者行为的影响做出一般性分析,并构建经营者行为统一研究框架。比较静态分析表明权力关联具有控制权与声誉激励、保护性治理、关系网络资源效应以及稳定领导权结构等效应,但可能造成制衡机制缺失、行为目标扭曲以及精力分散等负面影响;薪酬激励对经营者行为产生积极影响,也可能衍生出新的代理冲突;从激励和责权利相对等角度来讲,薪酬激励可以强化权力的积极影响并抑制权力的消极作用,二者相匹配有助于规范经营者的生产性行为。

关键词: 权力关联, 薪酬激励, 经营者行为, 比较静态分析

Abstract: Enterprise managers are of dual preferences of power and compensation. Power and compensation are interdependent and influence managers′ behavior jointly. Based on the characteristics of power allocation and compensation design for China′s enterprise managers, this paper makes a general analysis of the influence of power and compensation on managers′ behavior, and constructs a unified analysis framework of managers′ behavior. Comparative static analysis shows that: power connection could produce effects such as control right and reputation incentive, protective governance, relationship network resources and stable leadership structure, while it may cause negative effects such as lack of checks and balances, distortion of behavior targets and energy dispersion; compensation incentive has positive impact on managers′ behavior, but it may also lead to new agency conflicts; from the perspective of motivation and responsibility, compensation incentive can strengthen the positive influence of power and restrain negative effects, and it is helpful to regulate managers′ production behavior when power and compensation are matching.

Key words: power connection, compensation incentive, managers′ behavior, comparative static analysis