Search

This research investigates the influence of financial inclusion and digitalization on carbon dioxide (CO2) emissions by analyzing a sample of 38 countries from 2006 to 2020. For our analysis, we use the SGMM method and fixed-effect panel threshold models. Financial inclusion and digitalization are measured using newly constructed indices derived from principal component analysis. Despite some variations in specific details, the overall trend in the relationship among CO2 emissions, financial inclusion, and digitalization remains consistent across high-income and low- and middle-income countries. Our findings reveal that financial inclusion has a significant and non-linear impact on CO2 emissions. Conversely, digitalization is found to reduce CO2 emissions significantly. Furthermore, the threshold models indicate that the impact of financial inclusion on CO2 emissions varies depending on the levels of financial inclusion and digitalization. The influence of financial inclusion on CO2 emissions is lower at higher levels of financial inclusion and digital technology, and vice versa. Our findings have implications for policymakers who seek to develop economic policies for sustainable development. By adopting policies that promote digital technologies, policymakers can enhance financial inclusion and economic growth and reduce CO2 emissions. [ABSTRACT FROM AUTHOR]

The development of the Industrial Revolution 4.0 has far-reaching effects on all aspects of life, the economy, and society, bringing various growth opportunities for businesses. However, businesses are still hesitant to apply these new technologies. On a research sample from a survey of 396 Vietnamese enterprises, the study uses the SEM-neural network method to determine the relationship and importance of five groups of factors affecting the firms' Industry 4.0 technologies adoption. The results suggest that five groups of factors, including Perceived characteristics, Technological competencies, CEO characteristics, Environmental characteristics, and Subjective Norms, all positively and significantly impact the Industry 4.0 technologies adoption in Vietnam. In particular, Technological competencies are the most influential factors according to the SEM method, while Subjective norms factors have the most decisive impact according to the neural-network method. Moreover, the research also found that adopting Industry 4.0 technologies depends on different company characteristics, such as age, size, status, and industry. [ABSTRACT FROM AUTHOR]