Mohamedou Nasser Dine is an economist and public policy specialist. His research interests include labor economics, international trade, public policy, and applied econometrics in addition to spatial econometrics, advanced statistics, and data science. Nasser Dine has several peer-reviewed publications in journals such as the Japanese Economic Review and Journal of Economic Integration. The findings of his research are presented in international conferences, seminars, and workshops across the world. Nasser has solid experience in the financial sector where worked in various positions: Risk manager, credit analyst, trade finance..etc – before he receives his Ph.D. in International Public Policy from Osaka University - Japan. He worked as an international economist for economic research centers such as ERIA and mathematics teaching assistant at Osaka University. He’s a member of the Japanese Economic Association, where he contributed with research on matching efficiency within Japanese local labor markets. Currently, Nasser Dine works as a project manager at the United Nations Development Program UNDP.
PhD in International Public Policy & Economics, 2020
Osaka University
Master degree in Financial Mathematics, 2007
Mohammed V University
BSc in Applied Mathematics, 2004
Moulay Ismail University
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Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Policy Briefs & Blogs
Based on the world input-output database 2016 (WIOD), this study examines the impact of the global value chain (GVCs), via the backward and forward linkages, on labor productivity. Using a spatial econometric approach, it pays particular attention to the spillover effects in productivity across industries through input-output relations. It is shown that a stochastic shock in productivity in one sector significantly transcends and boosts productivity in other sectors through input-output dependencies. Moreover, productivity significantly declines with backward linkages within their sectors. However, productivity increases with forward linkages both within own sectors and across sectors through input-output relations. A sectoral analysis of the GVCs effects on productivity reveals that manufacturing backward linkages is negatively associated with productivity not only within own sectors but also across manufacturing sectors, whereas productivity in service sectors rises with forward linkages within and across service sectors. This study shows that ignoring the spillovers effects across sectors causes the estimates to be biased
Based on the world input-output database 2016 (WIOD), this study examines the impact of the global value chain (GVC), via the backward and forward linkages, on labor productivity. Using a spatial econometric approach, it pays a particular attention to the spillovers effects in productivity across industries through input-output relations. It is shown that a stochastic shock in productivity in one sector significantly transcends and boosts productivity in other sectors through input-output dependencies. Moreover, productivity significantly declines with backward linkages within own sectors. However, productivity increases with forward linkages both within own sectors and across sectors through input-output relations. A sectoral analysis of the GVC effects on productivity reveals that manufacturing backward linkages is negatively associated with productivity not only within own sectors but also across manufacturing sectors, whereas productivity in service sectors rises with forward linkages within and across service sectors. This study shows that ignoring the spillovers effects across sectors causes the estimates to be biased.