Capability building for a global economy

2021 ◽  
pp. 91-109
Author(s):  
Greg Clydesdale
Keyword(s):  
Global Economy ◽  
Capability Building

Industrial Hubs and Technology Transfer in Africa’s Apparel Export Sector

2020 ◽  
pp. 930-949
Author(s):  
Lindsay Whitfield ◽  
Cornelia Staritz
Keyword(s):  
Technology Transfer ◽  
Global Economy ◽  
Firm Level ◽  
Industrial Policies ◽  
Local Firm ◽  
Export Sector ◽  
Infrastructure Provision ◽  
Capability Building ◽  
Sub Saharan ◽  
Economic Zones

In addition to static benefits, the dynamic benefits of special economic zones (SEZs), in terms of linkages with the national economy outside the zones and technology transfer from foreign to local firms, are crucial for structural transformation. This chapter assesses the extent to which the SEZ or SEZ-like policies and related FDI attraction have led to technology transfer in the leading sub-Saharan African apparel exporters, namely Mauritius, Madagascar, Kenya, Lesotho, Swaziland, and Ethiopia. In doing so, it focuses on local firm-level learning, which underpins technology transfer, and the conditions under which it occurs. It concludes that targeted infrastructure provision of physical zones is important, but that global economy dynamics such as global buyer and foreign investor strategies as well as the complexities related to local firm technological capability building are crucial to understanding technology transfer, arguing for more strategic industrial policies around SEZs.

Financial alchemists and financial shamans

2018 ◽  
Vol 41 ◽  
Author(s):  
Samuel G. B. Johnson
Keyword(s):  
Global Economy ◽  
Money Management

AbstractProfessional money management appears to require little skill, yet its practitioners command astronomical salaries. Singh's theory of shamanism provides one possible explanation: Financial professionals are the shamans of the global economy. They cultivate the perception of superhuman traits, maintain grueling initiation rituals, and rely on esoteric divination rituals. An anthropological view of markets can usefully supplement economic and psychological approaches.

Flu Pandemic Would Weaken Global Economy

2006 ◽  
Vol 39 (17) ◽  
pp. 5
Author(s):  
Jonathan Gardner
Keyword(s):  
Global Economy

Forecasting US movies box office performances in Turkey using machine learning algorithms

2020 ◽  
Vol 39 (5) ◽  
pp. 6579-6590
Author(s):  
Sandy Çağlıyor ◽  
Başar Öztayşi ◽  
Selime Sezgin
Keyword(s):  
Machine Learning ◽  
Global Economy ◽  
Learning Algorithms ◽  
Forecast Model ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
High Stakes ◽  
Box Office ◽  
Industry Forecast ◽  
The Impact

The motion picture industry is one of the largest industries worldwide and has significant importance in the global economy. Considering the high stakes and high risks in the industry, forecast models and decision support systems are gaining importance. Several attempts have been made to estimate the theatrical performance of a movie before or at the early stages of its release. Nevertheless, these models are mostly used for predicting domestic performances and the industry still struggles to predict box office performances in overseas markets. In this study, the aim is to design a forecast model using different machine learning algorithms to estimate the theatrical success of US movies in Turkey. From various sources, a dataset of 1559 movies is constructed. Firstly, independent variables are grouped as pre-release, distributor type, and international distribution based on their characteristic. The number of attendances is discretized into three classes. Four popular machine learning algorithms, artificial neural networks, decision tree regression and gradient boosting tree and random forest are employed, and the impact of each group is observed by compared by the performance models. Then the number of target classes is increased into five and eight and results are compared with the previously developed models in the literature.

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