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Lookup NU author(s): Xinye Yang
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© 2024 Informa UK Limited, trading as Taylor & Francis Group. Green technology innovation is crucial in the battle against climate change. Working with a data set that includes 30 provinces, municipalities, and autonomous regions in China from 2007 to 2022, we used the spatial Durbin model to empirically examine the impact of green technology innovation on carbon emissions. The findings indicate that green technology innovation not only fosters local carbon reduction but also exerts an inhibitory impact on carbon emissions in neighboring areas through spatial spillover effects. Accounting for the distinct regional disparities, the sample was stratified into eastern, central, and western regions. The analysis indicated that the spatial spillover effect was notably significant in the eastern and central regions, whereas it was not detectable in the western region. The heterogeneity analysis, conducted by integrating the spatial Durbin model with interaction term models, reveals that the level of regional economic development and government financial support tend to enhance the carbon emission reduction impact of green technology innovation. In contrast, environmental regulations tend to diminish this effect. According to the research results, we have some policy implications. The study could assist developing countries, facing regional imbalances, in achieving their emission reduction targets.
Author(s): Wen Y, Zheng L, Gu Y, Yang X
Publication type: Article
Publication status: Published
Journal: Technology Analysis and Strategic Management
Year: 2024
Pages: Epub ahead of print
Online publication date: 07/12/2024
Acceptance date: 29/11/2024
ISSN (print): 0953-7325
ISSN (electronic): 1465-3990
Publisher: Routledge
URL: https://doi.org/10.1080/09537325.2024.2438110
DOI: 10.1080/09537325.2024.2438110
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