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Title Research on the Configuration Paths of Low-Carbon Transformation of Heavily Polluting Enterprises
ID_Doc 32293
Authors Su, XN; Ding, SJ
Title Research on the Configuration Paths of Low-Carbon Transformation of Heavily Polluting Enterprises
Year 2024
Published Sustainability, 16, 14
DOI 10.3390/su16145826
Abstract In the context of escalating environmental and climate concerns, it is imperative for enterprises to embark on carbon emission reduction initiatives. Exploring the driving pathways for corporate low-carbon transformation is crucial for the development of a green economy. In this paper, various configuration pathways that may drive heavily polluting industrial enterprises towards green and low-carbon transformation were investigated based on the Technology-Organization-Environment (TOE) theoretical framework and the fuzzy set qualitative comparative analysis (fsQCA) method. The results indicated the following: (1) the low-carbon transformation of heavily polluting enterprises is the result of the joint action of multiple factors; (2) there are eight pathways that can promote corporate low-carbon transformation, roughly divided into single-factor driving types (including MEA drive, DT drive, and GI drive), dual-factor driving types (DT-ER drive and DT-ESGR drive), and multi-factor driving types (including GI-DT-MEA-ER drive, GI-FS-ER drive, and GI-FS-ESGR drive). It can be concluded that there can be certain substitutions between green technology innovation and digital transformation, and environmental regulations and ESG ratings. (3) GI and DT are crucial to the low-carbon transformation of heavily polluting enterprises, and the latter has a more significant impact on promoting low-carbon transformation. MEA is also worthy of attention. The research conclusions not only provide theoretical support for the low-carbon transformation of heavily polluting industrial enterprises but also have valuable reference significance for other industry enterprises, and even the whole of society, to achieve green sustainable development.
Author Keywords green innovation; low-carbon transformation; TOE framework; configuration paths; fsQCA; code O32
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:001277326300001
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/16/14/5826/pdf?version=1721096987
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