制度复杂性与企业绿色创新驱动路径：基于汽车制造业的动态QCA研究

摘要/Abstract

摘要： 为讨论多重利益主体的制度复杂性对绿色创新的驱动路径，本文基于利益相关者理论与动态耦合视角，以中国汽车制造企业为例，应用动态QCA方法挖掘多重路径的组态和动态轨迹。研究结果表明：不存在单独驱动绿色创新的必要条件。利用面板QCA分析发现，利益相关者制度复杂性与绿色创新因果关系的时间效应强于案例效应。多时段QCA分析结果显示，“十二五”规划时期的组态有3类：市场主导的绩劣非国企驱动、业绩反馈不一致的国企驱动、“政府-市场双主导”下业绩反馈不一致的非国企驱动；“十三五”规划时期的组态则有4类：政府主导下的绩优国企驱动型、市场主导下的绩优国企驱动型、绩优国企的“重法规-弱社区”驱动型、多重利益相关者共促的绩劣企业驱动型。最后，本文总结出企业对多重利益相关者制度复杂性的响应与绿色创新的因果关系动态耦合特征。

Abstract: To discuss the paths of multi-stakeholder institutional complexity driving green innovation, we adopt the stakeholder theory and dynamic coupling perspective, take Chinese automobile manufacturing enterprises as an example, and apply dynamic QCA to explore the configurations and dynamic trajectories of multiple paths. Panel data QCA finds stronger time effects than case effects for the causal relationships between stakeholder institutional complexity and green innovation. The results of multi-temporal QCA show that there are three configurations in the 12th Five-Year Plan period: market-driven underperforming state-owned enterprises(SOEs), SOEs with inconsistent performance feedback, and non-SOEs with inconsistent performance feedback under the approach of “dual dominance by both the government and the market”. For the 13th Five-Year Plan period, the four configurations are: government-driven high-performing SOEs, market-driven high-performing SOEs, high-performing SOEs with “strong regulations and weak communities”, and poor-performing enterprises co-promoted by multiple stakeholders. Finally, we draw out the dynamic coupling characteristics of the causal relationship between firms' responses to multi-stakeholder institutional complexity and green innovation.

Key words: stakeholder theory, institutional complexity, green innovation, dynamic coupling, dynamic QCA

梁肖梅, 汪秀琼, 吴小节. 制度复杂性与企业绿色创新驱动路径：基于汽车制造业的动态QCA研究[J]. 管理评论, 2026, 38(1): 90-103.

Liang Xiaomei, Wang Xiuqiong, Wu Xiaojie. Institutional Complexity and Driving Paths for Enterprises' Green Innovation: A Dynamic QCA Study Based on the Automotive Manufacturing Industry[J]. Management Review, 2026, 38(1): 90-103.

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