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This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...
Persistent link: https://www.econbiz.de/10012052994
Cover -- Half Title -- Series Information -- Title Page -- Copyright Page -- Table of contents -- Contents in Volume I -- List of Figures -- List of Tables -- List of Contributors -- Preface -- Acknowledgments -- Abbreviations -- Part I Industrial promotion in retrospect and prospect -- 1...
Persistent link: https://www.econbiz.de/10012405091
PART I: Industrial Promotion in Retrospect and Prospect 1. Leading Issues in Industrial Promotion in Today⁰́₉s Globalized World (Shigeru Otsubo and Christian Otchia) 2. State of Global Manufacturing and Risks of Deindustrialization in the Developing World (Christian Otchia and Shigeru...
Persistent link: https://www.econbiz.de/10013182833
The study set out to investigate whether China’s rise complements or competes with Africa’s manufacturing sectors, using a system GMM estimator. The findings reveal that imports of intermediate manufactured goods from China boost manufacturing production in African economies but that total...
Persistent link: https://www.econbiz.de/10013323431