Abstract
How do digitalizing businesses help them achieve sustainable growth? This research examines the mediating function of green technology innovation in answering this question by defining sustainable development performance in terms of corporations’ financial and environmental success. The educational system in China is examined to see how much of an impact it has on eco-innovation, as well as the relationship between green technology and innovation. The IFE test was utilized to determine whether or not the associations between variables such as GDP per capita, urbanization, green technology, higher education, and carbon dioxide emissions will continue to exist between 2004 and 2020 in China. The data for this analysis came from 30 of China’s provinces. The findings of both the short-term and long-term CS-ARDL estimations demonstrated a positive link between eco-innovation and GDP per capita, green technology, higher education, and CO2 emissions. On the other hand, a negative correlation was found between urbanization and eco-innovation. The next topic covered in the research was how the effects of green technology might be seen in areas such as GDP per capita, higher education, and carbon dioxide emissions. The findings might provide valuable knowledge that developing economies can use to construct a feasible, sustainable path.
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This study was supported by the 2018 Tianjin Education Commission Major Project: “Belt and Road”. A Study on the Output Mode of Training Dual Teachers and Applied Talents in Vocational Education. Project Code: 2018JWZD10 (as a form of research result).
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Jilin Chang: conceptualization, data curation, methodology; Biao Li: writing — original draft, data curation; Bo Chen: visualization, supervision; Yifei Shen: editing, writing — review and editing; Xinying Lv: software, visualization, supervision; Jing Liu: data curation, methodology.
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Chang, J., Li, B., Chen, B. et al. Does higher education promote sustainable development? Role of green technology and financial performance. Environ Sci Pollut Res 30, 94890–94903 (2023). https://doi.org/10.1007/s11356-023-28927-6
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DOI: https://doi.org/10.1007/s11356-023-28927-6