实现区域高绿色创新水平的组态路径：基于绿色创新生态系统理论的模糊集定性比较分析

Configurational Pathways to Achieve High Regional Green Innovation Performance: A Fuzzy-Set Qualitative Comparative Analysis (fsQCA) Based on the Green Innovation Ecosystem Theory

摘要:

鉴于从组态视角出发研究绿色创新水平的成果较少，为考察各创新要素间的互动协同效果对区域绿色创新水平的影响，基于绿色创新生态系统理论构建绿色创新水平组态分析框架，采用模糊集定性方法分析区域高绿色创新水平的组态路径。结果发现：导致区域高绿色创新水平的组态路径有4条路径，分别是以绿色创新主体之间的互动协作为核心的“互动协作关系-资源-环境制度”驱动型，以互动协作为核心的“互动协作关系-资源-环境压力”驱动型，以互动协作为核心的“互动协作关系-环境制度”驱动型，以及以互动协作为核心的“互动协作关系-自然环境”驱动型。创新主体之间的互动协作是实现区域高绿色创新水平的核心环节。基于此，提出各区域需构建以绿色创新主体之间的互动协作为核心的绿色创新生态机制，结合自身资源禀赋，遵循因地制宜、扬长避短等原则通过差异化组态路径实现区域高绿色创新水平。

Abstract:

Given the limited research on regional green innovation performance from a configurational perspective, this study investigates how the synergistic interactions among innovation elements influence regional green innovation levels. Building on the green innovation ecosystem theory, it develops a configurational analysis framework to evaluate the dynamics of collaborative interactions among innovation elements. Using fuzzy-set qualitative comparative analysis (fsQCA), four distinct configuration pathways driving high green innovation performance are identified, including: the“interaction and collaboration relationship-innovation resources-environmental policy”driven-model with the interaction and collaboration among green innovation elements as the core; the “interaction and collaboration relationship-innovation resources-natural environment pressure”driven-type centered on the interactive cooperation among green innovation elements; the“interaction and collaboration relationship-environmental policy”driven-type centered on interactive cooperation; the“interaction and collaboration relationship-natural environment”driven-type centered on interactive cooperation.The results demonstrate that interactive collaboration among green innovation elements is a core condition for achieving high regional green innovation performance (consistency score > 0.9). Based on these findings, it proposes that regions should establish a green innovation ecosystem mechanism centered on “interaction and collaboration among green innovation elements”, and align with their unique resource endowments, guided by the principles of adaptation to local conditions, leveraging comparative advantages, and compensating weaknesses through collaboration, in order to achieve a high regional green innovation performance via differentiated configuration pathways.