Analysis of the Paths Affecting Corporate Green Innovation in Resource-Based Cities: A Fuzzy-Set QCA Approach

Author:

Zhao Yunhui,Wu Xinyue,Zhang Jian

Abstract

Green innovation is essential for companies to achieve their dual carbon goals. However, academics have been researching how to encourage enterprises in resource-based cities to take the initiative to implement green innovations. In contrast, we construct a configurational framework based on organizational ecology theory and propose that corporate green innovation does not depend on a single condition, but on the interaction of spatial agglomeration, digital economy, and institutional environment. We identify and explore six conditions that influence corporate green innovation in this study based on a fuzzy-set qualitative comparative analysis of firms in resource-based cities. We show that high-level corporate green innovation can be achieved through different combinations of antecedent conditions. There is also a clear influence of synergy between spatial agglomeration, digital economy, and institutional environment, which can jointly promote corporate green innovation. This study provides a more systematic explanation of how companies can raise their levels of green innovation, as well as valuable insights for companies seeking to improve their green innovation awareness proactively.

Funder

Natural Science Foundation of Inner Mongolia

Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region

Program for Innovative Research Team in Universities of Inner Mongolia Autonomous Region

National Social Science Foundation Project

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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