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FDI is a critical factor influencing carbon emissions and a significant driver of China’s economic development. However, achieving sustainable economic development remains a major challenge for China. Hence, this paper aims to explore how to foster positive interactions between FDI and carbon emissions. Specifically, we first analyze the mechanism of FDI on carbon emissions from a theoretical perspective. Then, using panel data from 27 provinces in China, an empirical analysis is conducted. In the empirical analysis, we use the panel regression models to analyze the impact of FDI on carbon emissions. Additionally, a configuration analysis method is employed to examine the interactive relationship between FDI quality and carbon emissions. The conclusions of this paper are as follows. Overall, FDI significantly inhibits carbon emissions across provinces, with this effect strengthening as the scale and quality of FDI increase. Heterogeneity analysis shows that the inhibitory effect of FDI on carbon emissions is more pronounced in provinces with high technological financial support and stringent environmental regulations. Mediation analysis indicates that technological innovation serves as a mediator between FDI and carbon emissions, which means that FDI could promote “the quality improvement and the quantity increase” of green technological innovation to reduce carbon emissions. Furthermore, the configuration analysis shows that the carbon reduction effect of FDI results from the combined influence of various factors. Among those, FDI’s export capacity is a key factor. The findings above enhance our knowledge of the environmental effects of FDI from the perspective of FDI quality. Moreover, these explorations also offer new insights and strategies for China’s pursuit of sustainable economic development.
FDI is a critical factor influencing carbon emissions and a significant driver of China’s economic development. However, achieving sustainable economic development remains a major challenge for China. Hence, this paper aims to explore how to foster positive interactions between FDI and carbon emissions. Specifically, we first analyze the mechanism of FDI on carbon emissions from a theoretical perspective. Then, using panel data from 27 provinces in China, an empirical analysis is conducted. In the empirical analysis, we use the panel regression models to analyze the impact of FDI on carbon emissions. Additionally, a configuration analysis method is employed to examine the interactive relationship between FDI quality and carbon emissions. The conclusions of this paper are as follows. Overall, FDI significantly inhibits carbon emissions across provinces, with this effect strengthening as the scale and quality of FDI increase. Heterogeneity analysis shows that the inhibitory effect of FDI on carbon emissions is more pronounced in provinces with high technological financial support and stringent environmental regulations. Mediation analysis indicates that technological innovation serves as a mediator between FDI and carbon emissions, which means that FDI could promote “the quality improvement and the quantity increase” of green technological innovation to reduce carbon emissions. Furthermore, the configuration analysis shows that the carbon reduction effect of FDI results from the combined influence of various factors. Among those, FDI’s export capacity is a key factor. The findings above enhance our knowledge of the environmental effects of FDI from the perspective of FDI quality. Moreover, these explorations also offer new insights and strategies for China’s pursuit of sustainable economic development.
The impact of digital empowerment on green innovation is increasingly evident, enabling various subjects to improve the integration of innovation elements and enhance innovation efficacy across a broader temporal and spatial scope. A comprehensive examination of the mechanisms that underlie this process is required. This paper constructs the ‘elements-subjects-environments’ research framework of digital innovation ecosystems, collecting data from 30 provinces in China from 2017 to 2021 and using green total factor productivity (GTFP) to evaluate the level of green regional development. In this study, the dynamic qualitative comparative analysis (QCA) method is employed to analyze the intricate causal mechanisms and configurations of green regional development that are driven by digital innovation ecosystems from both temporal and spatial perspectives. The results show that: (1) green regional development requires the interaction of multiple elements, subjects, and the environment, and a single condition does not constitute a necessary condition; (2) there are four pathways with different configurations for high-level green development: data elements-driven enterprise application innovation, data elements-driven enterprise-user co-creation, data elements-driven multi-collaborative innovation, and digital environment-driven university basic innovation; (3) the temporal and spatial dimensions of China’s green regional development pathways are heterogeneous: the significance of data elements in fostering green regional development is increasing; the multi-collaborative innovation configuration is facilitating the green development of the eastern and central regions, whereas the western and northeastern regions are progressing at a relatively slow pace. This study provides theoretical and practical insights to promote the integration of digital innovation and green development.
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