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Autonomous vehicles (AVs) have inspired tremendous interest in solving existing transportation sector difficulties, especially with recent breakthroughs in sustainable ways of transportation. However, theoretical frameworks or models to efficiently analyze the threats, challenges, opportunities, and sustainability associated with AVs' usage remain limited in application. This study introduces the Problem Cause Solution Sustainability Advantage Disadvantage Threat Opportunities (PC-SSADTO) conceptual framework, a modified form of the Strength Weaknesses Opportunities Threats (SWOT) analysis to analyze AVs as a sustainable solution. This framework examines the difficulties, risks, and possibilities of using AVs in the transportation sector as well as how their worldwide implementation and integration might help lower carbon dioxide (CO2) emissions, enhance road safety, and improve mobility and accessibility, thus accelerating the accomplishment of Sustainable Development Goals (SDGs). The requirements of the PC-SSADTO framework are confirmed by a survey that gathers over 200 public answers on the present issues or challenges that AVs may address, such as lowering traffic congestion, greenhouse gas emissions, and climate change for an improved livelihood. Despite some uncertainty in human opinions about AVs systems, the application of totally autonomous operations appears to be essential for the effective integration of AVs. Therefore, high degrees of integration with public transportation and cooperative decision-making structures would favor practical AVs implementations and usage positively. [ABSTRACT FROM AUTHOR]

The prospect of decoupling economic development from CO2 emissions in Ghana is examined in this paper, with an emphasis on the manufacturing, export, and adoption of renewable energy sectors. The paper investigates the long-term and short-term correlations among CO2 emissions, renewable energy consumption (RNE), population growth (POP), manufacturing value-added (MVA), Economic growth (GDP), and exports (EXP) using an Autoregressive Distributed Lag (ARDL) bounds testing method using time series data from 1990 to 2020. The outcomes show that the variables are long-term cointegrating. Long-term GDP and CO2 emissions show a positive but negligible correlation, whereas exports show a negative and insignificant correlation. In the near term, using renewable energy has a markedly undesirable consequence on releases, yet, over time, the connection is positive and negligible. Because the turning point when economic expansion results in lower emissions is not apparent, the Environmental Kuznets Curve concept is not entirely substantiated. The report emphasizes how specific laws encouraging the use of renewable energy, environmentally friendly export and manufacturing processes, and technical advancements are necessary to help Ghana move toward a low-carbon economy. [ABSTRACT FROM AUTHOR]