Tourism, Migration, And Productive Capacity Growth In Sub-Saharan Africa
Year: 2025
Type: article
Abstract: Productive capacity has emerged as a critical indicator of long-term economic development, particularly for regions undergoing rapid structural transformation, such as Sub-Saharan Africa (SSA). Despite increasing global interest, the key drivers of productive capacity in SSA remain insufficiently explored, especially within the context of tourism and migration. Existing studies predominantly rely on GDP-based growth models and often examine tourism and migration separately, overlooking their combined influence on structural development. Moreover, the role of institutional quality in shaping productive capacity is under-investigated. This study examines how international tourism and migration affect productive capacity growth in SSA, while also considering the contributions of urbanization, trade openness, and institutional quality. Using panel data from 38 SSA countries between 2011 and 2021, the analysis employs a dynamic System Generalized Method of Moments (System GMM) estimator to address endogeneity, unobserved heterogeneity, and simultaneity among variables. The results indicate that international tourism and migration exert positive and statistically significant effects on productive capacity. Institutional quality emerges as the most influential driver, followed by urbanization and trade openness. These findings underscore the importance of structural and governance-related factors in enhancing the region’s productive capacity. Tourism and migration contribute meaningfully to productive capacity growth; however, their impact is substantially conditioned by the quality of governance and structural enablers. Policymakers should adopt sustainable tourism strategies, strengthen security and infrastructure, develop migration-friendly frameworks, enhance human capital, and prioritize institutional reforms to maximize long-term productive capacity in SSA. References
Source: Innovation economics frontiers
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7117356279