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A Study on the Grouping of Factors Influencing the Green Transformation of Heavy Polluting Enterprises under the “Double Carbon” Target
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Promoting the green transformation of enterprises and helping to achieve the dual carbon goal. Based on the theoretical framework of “technology-organization-environment”. The paper constructs a model of the influencing factors of green transformation of heavy polluting enterprises. this uses the necessary conditions analysis method and qualitative comparative analysis method to explore the group effect of green transformation of heavy polluting enterprises with a sample of 514 listed enterprises. The results demonstrate that the green transformation of heavy polluting enterprises is not only a result of the green transformation, but also of the green transformation of heavy polluting enterprises. The results demonstrate that the green transformation of heavy polluting enterprises is not driven by a single antecedent condition. There are six groups of conditions for high level green transformation of heavy polluting enterprises, which are categorized as “scale-driven technology development”, “large-scale dynamic development” and “all-factor driven”. There are seven groups of conditions for the low-level green transformation of heavy polluting enterprises, and the two groups show asymmetry. There are obvious differences between the green transformation paths of state-owned enterprises and non-state-owned enterprises. The research findings provide a reference for the path of green transformation practice of enterprises.
Title: A Study on the Grouping of Factors Influencing the Green Transformation of Heavy Polluting Enterprises under the “Double Carbon” Target
Description:
Promoting the green transformation of enterprises and helping to achieve the dual carbon goal.
Based on the theoretical framework of “technology-organization-environment”.
The paper constructs a model of the influencing factors of green transformation of heavy polluting enterprises.
this uses the necessary conditions analysis method and qualitative comparative analysis method to explore the group effect of green transformation of heavy polluting enterprises with a sample of 514 listed enterprises.
The results demonstrate that the green transformation of heavy polluting enterprises is not only a result of the green transformation, but also of the green transformation of heavy polluting enterprises.
The results demonstrate that the green transformation of heavy polluting enterprises is not driven by a single antecedent condition.
There are six groups of conditions for high level green transformation of heavy polluting enterprises, which are categorized as “scale-driven technology development”, “large-scale dynamic development” and “all-factor driven”.
There are seven groups of conditions for the low-level green transformation of heavy polluting enterprises, and the two groups show asymmetry.
There are obvious differences between the green transformation paths of state-owned enterprises and non-state-owned enterprises.
The research findings provide a reference for the path of green transformation practice of enterprises.
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