Abstract
Carbon dioxide emissions are the primary greenhouse gasses behind global climate change and its associated effects. Climate change adversely impacts the environment, biodiversity, and human health. The ability to tame carbon dioxide emissions will help in the fight against climate change. However, the recent pace of rising carbon dioxide emissions raises concerns about winning the war against climate change. World leaders are determined to take actions that will lower emissions. Thus, there is a worldwide effort to achieve net-zero emissions. Consequently, it is crucial to comprehend the specific factors that contribute to carbon emissions of specific economies so that countries can develop and enforce effective strategies for reducing carbon output, mitigating the effects of climate change, and improving recovery programs. Despite many empirical studies conducted in Africa on the determinants of carbon emissions, the results remain inconclusive and inadequate, leaving a void for further research. This study seeks to fill this knowledge gap by modeling the relationship between Kenya's carbon emissions (which have been increasing since the early 2000s), and mobile technology adoption, renewable energy mix, tourism development, development assistance, income, and global financial crises, utilizing the most current data from 1995 to 2021 from the World Bank's database. The ARDL, FMOLS, CCR, and DOLS analysis results reveal that mobile technology, tourism, development aid, and global financial crises increase Kenya's carbon emissions in the long run. At the same time, income and renewable energy reduce short- and long-term impacts. The significant insight from these results is that enhancing renewable energy development, mobile technology, and development assistance can promote a sustainable environment. From these findings, the study proposes many policy recommendations to help decision-makers, communities, companies, and the government in Kenya allocate resources and implement resilience and mitigation policies and programs in the areas most susceptible to the effects of climate change.
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