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Titlebook: Economic Diversification and Growth in Africa; Critical Policy Maki Omotunde E. G. Johnson Book 2016 The Editor(s) (if applicable) and The

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樓主: hector
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發(fā)表于 2025-3-25 04:49:01 | 只看該作者
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發(fā)表于 2025-3-25 10:56:44 | 只看該作者
https://doi.org/10.1007/978-3-658-05550-9ble incomes; pervasive corruption; underdeveloped financial systems; tax policy weaknesses; legal system inadequacies; and low support of the population in addressing some governance problems. To overcome these constraints, this chapter elaborates on the following suggestions to policy makers in the
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發(fā)表于 2025-3-25 15:19:04 | 只看該作者
,Rahmen für einen Methodenvergleich,tion within countries and increased intra-regional trade. The positive trade effects would work via the traditional mechanisms of comparative advantage, economies of scale, and gravity. Crucial to these positive effects are enabling economic policy environments within the countries, successes in des
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發(fā)表于 2025-3-25 16:37:34 | 只看該作者
Spezielle Probleme der Personalbeurteilung,achieve these objectives, African policy makers must improve the business environment faced by firms and the design and implementation of their export incentives and export promotion strategies. To accomplish these goals, the policy makers need to understand the factors affecting export performance
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發(fā)表于 2025-3-25 21:39:31 | 只看該作者
Omotunde E. G. JohnsonPuts forward a policy making approach for economic growth and diversification in African countries.Develops a coherent framework for formulating policies in specific industries such as finance and agr
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發(fā)表于 2025-3-26 04:11:10 | 只看該作者
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發(fā)表于 2025-3-26 05:08:28 | 只看該作者
https://doi.org/10.1007/978-3-319-30849-4Capacity building; Domestic resource mobilisation; Regional economic integration; Export diversificatio
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發(fā)表于 2025-3-26 11:08:15 | 只看該作者
978-3-319-80899-4The Editor(s) (if applicable) and The Author(s) 2016
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發(fā)表于 2025-3-26 16:37:07 | 只看該作者
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發(fā)表于 2025-3-26 17:29:44 | 只看該作者
An Adaptive Staged PSO Based on Particles’ Search CapabilitiesSO is proposed. By setting different values of .-. in three stages, one can make swarm search the space with particular strategy in each stage, and the particles can be directed to find the solution more effectively. The experimental results show that the proposed ASPSO has better performance than SPSO and LDWPSO on most of test functions.
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