Africa has an extensive and varied cultural history that includes works of art, music, literature, customs, and historical locations. These cultural resources are essential for creating identities, promoting social cohesiveness, and advancing economic development. However, for these institutions to have the greatest impact on the world and contribute to sustainable development, they must be managed and engaged effectively. Exploring the management of cultural institutions in Africa and their potential for global impact and sustainable development is the goal of this research study. The study relies on the extensive review of available literature, case studies, and in-depth interviews with key informants, and data obtained, subjected to content and thematic analyses. It aims to uncover flexible management techniques that can improve the global reach and sustainable development of African cultural institutions by examining successful models and cutting-edge approaches. The results of this study will help those responsible for administering Africa’s cultural institutions to formulate practical guidelines and policy recommendations. Africa can further establish its cultural identity, advance cultural diplomacy, and utilize its cultural capital to propel social and economic advancement by utilizing the potential of these institutions for global impact and sustainable development.

For this, the primary aim of this study was to analyze of the impact of cultural accessibility and ICT (information and communication technology) infrastructure on economic growth in Kazakhstan, employing regression models to asses a single country data from 2008 to 2022. The research focuses on two sets of variables: cultural development variables (e.g., number of theaters, museums, and others) and ICT infrastructure variables (e.g., number of fixed Internet subscribers, total costs of ICT, and others). Principal component analysis (PCA) as employed to reduce the dimensionality of the data and identify the most significant predictors for the regression models. The findings indicate that in the cultural development model (Model 1), the number of recreational parks and students are significant positive predictors of GDP per capita. In the ICT infrastructure model (Model 2), ICT costs are found to have a significant positive impact on GDP per capita. Conversely, traditional connectivity indicators, such as the number of fixed telephone lines, show a low dependence on economic growth, suggesting diminishing returns on investment in these outdated forms of ICT. These results suggest that investments in cultural and ICT infrastructure are crucial for economic development. The study provides valuable insights for policymakers, emphasizing the need for quality improvements in education and strategic modernization of communication technologies.