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https://hdl.handle.net/10419/329516 Authors:
Year of Publication:
2025
Citation:
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 13 [Issue:] 8 [Article No.:] 236 [Year:] 2025 [Pages:] 1-35
Publisher:
MDPI, Basel
Abstract:
Amplifying corporate environmental investments is a pivotal strategy for achieving the 'carbon peak and carbon neutral' objectives of China's green development initiative. The digital transformation has the potential to generate new quality productive forces by leveraging data, thereby promoting green technology innovation, enhancing technology efficiency, and leveraging the impact of resource reallocation. Consequently, this transition enables enterprises to transition from a 'passive compliance' model to a 'proactive enhancement' model, thereby achieving a significant quality leap forward in their environmental investment. The present study utilises a sample of Chinese A-share companies from 2011 to 2023 to innovatively construct a multifaceted data model to quantitatively analyse the impact of digital transformation on corporate environmental investment. This analysis incorporates the intermediary effects of enhanced new quality productive forces, the intermediary effects of data application, and the threshold effects of environmental uncertainty, as well as the non-linear effects of industry, property rights, regional differences, policy, and the intensity of production factors. The study's findings are as follows: (1) Digital transformation significantly promotes corporate environmental investment, and this conclusion is robust. (2) The new quality productive forces have a positive intermediary effect on corporate environmental investment during digital transformation. (3) The application of big data has been demonstrated to moderate the intermediary effects of 'digital transformation-new quality productive forces-enterprise environmental investment.' (4) The impact of environmental uncertainty on corporate environmental investment during the digital transformation process is characterised by a 'barrier effect,' exhibiting a 'border effect' that is non-linear in nature. (5) In the context of the lightweight pollution industry, non-state-owned enterprises, the eastern region, and the implementation of environmental policies, the efficacy of digital transformation in enhancing corporate environmental investment is particularly pronounced. In light of the aforementioned, the present study puts forth four specific recommendations, offering invaluable insights for the contemporary Chinese enterprise to navigate the process of transformation and achieve sustainable, high-quality growth.
Subjects:
big data applications
corporate environmental investment
digital transformation
environmental uncertainty
new quality productive forces
corporate environmental investment
digital transformation
environmental uncertainty
new quality productive forces
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Article
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