Do Weather Events affect Income Inequality in Africa

2021 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Kofi A. Amoateng ◽  
Patrick Asuming ◽  
Godfred Bokpin ◽  
Mark Edem Kunawotor
Keyword(s):  
Income Inequality ◽  
Weather Events

Multistakeholder Partnerships in Context

2018 ◽  
Author(s):  
Barbara Gray ◽  
Jill Purdy
Keyword(s):  
Climate Change ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Large Scale ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Global Problems ◽  
Involuntary Migration ◽  
Societal Problems ◽  
Multistakeholder Partnerships

This chapter analyzes a variety of contextual factors that make partnerships a necessity. More and more societal problems have become “wicked problems” that involve many actors and defy resolution and require the attention and commitment of many interdependent players to find solutions because actions taken by one organization or sector negatively impact others. Increasing “glocalization” or fusing of the local and the global problems also propels partnerships. Six glocal conditions are explored that have spurred the growth of cross-sector partnerships locally and across the globe: deepening income inequality; growing importance of health in the economy; environmental degradation including climate change, water crises, and the need for sustainability, large-scale involuntary migration, increases in extreme weather events and continued decline in ability of governments to handle complex problems. The chapter also identifies partners’ motivations for joining partnerships, and classifies partnerships according to motives and intended outcomes.

Do weather events affect income inequality in Africa

2021 ◽  
Vol 21 (2) ◽  
pp. 148
Author(s):  
Mark Edem Kunawotor ◽  
Godfred Alufar Bokpin ◽  
Patrick O. Asuming ◽  
Kofi A. Amoateng
Keyword(s):  
Income Inequality ◽  
Weather Events

How to Evaluate Remote Tower Metrics in Connection With Weather Observations

2018 ◽  
Vol 8 (2) ◽  
pp. 100-111 ◽  
Author(s):  
Maik Friedrich ◽  
Christoph Möhlenbrink
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Influential Factors ◽  
Air Traffic ◽  
Weather Event ◽  
Evaluation Of Performance ◽  
Weather Events ◽  
Weather Observations ◽  
Validation Experiment ◽  
Remote Controller

Abstract. Owing to the different approaches for remote tower operation, a standardized set of indicators is needed to evaluate the technical implementations at a task performance level. One of the most influential factors for air traffic control is weather. This article describes the influence of weather metrics on remote tower operations and how to validate them against each other. Weather metrics are essential to the evaluation of different remote controller working positions. Therefore, weather metrics were identified as part of a validation at the Erfurt-Weimar Airport. Air traffic control officers observed weather events at the tower control working position and the remote control working position. The eight participating air traffic control officers answered time-synchronized questionnaires at both workplaces. The questionnaires addressed operationally relevant weather events in the aerodrome. The validation experiment targeted the air traffic control officer’s ability to categorize and judge the same weather event at different workplaces. The results show the potential of standardized indicators for the evaluation of performance and the importance of weather metrics in relation to other evaluation metrics.

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.

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