The Long-Run Impacts of the World Cup

2008 ◽  
Author(s):  
Craig A. Depken ◽  
Dennis P. Wilson
Keyword(s):  
World Cup ◽  
Long Run ◽  
The World

scholarly journals Al Thumama Stadium: Local and Global Architectural Reach

2019 ◽  
Author(s):  
Hani Awni Hawamdeh
Keyword(s):  
State Of The Art ◽  
Vital Role ◽  
Local Identity ◽  
World Cup ◽  
The Core ◽  
Long Run ◽  
The World ◽  
Unique Experience ◽  
Core Mission

The world cup stadia have been a constant concern for the hosting countries. Many of them have become a burden on the economies of their countries, only to become white elephants after the tournaments end. Therefore, the core mission of the Supreme Committee for Delivery & Legacy in Qatar was to ensure that the World Cup Stadiums are built with a legacy and to remain functional in the long run, not just as facilities, but as cultural icons. Such efforts have promoted the exercise of stadia building in Qatar as a positive and unique experience. As a firm, we, at Arab Engineering Bureau, are honored to be part of the effort all through the making of Al Thumama Stadium, which will be discussed in this paper. Instead of a white elephant, Al Thumama Stadium is arguably a symbol of the local identity that will become part of the World Cup legacy, whilst being a state-of-the-art facility that plays a vital role in development of its surrounding neighborhood.

The Role of Technological Change in the Long-run Global Economy Forecasting

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin
Keyword(s):  
Technological Change ◽  
Data Quality ◽  
Long Range ◽  
Global Economy ◽  
World Economy ◽  
Qualitative Approaches ◽  
Long Run ◽  
The World ◽  
National Economies

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.

An Econometric Analysis on the Relationship between Globalisation and Inequality in South Africa

2020 ◽  
Vol 11 (1) ◽  
pp. 89-89
Author(s):  
Jacques de Jongh
Keyword(s):  
South Africa ◽  
Well Being ◽  
Causality Analysis ◽  
Global Integration ◽  
Development Indicators ◽  
Long Run ◽  
The World ◽  
Distribution Of Resources ◽  
Short Run ◽  
The Impact

Globalisation has had an unprecedented impact on the development and well-being of societies across the globe. Whilst the process has been lauded for bringing about greater trade specialisation and factor mobility many have also come to raise concerns on its impact in the distribution of resources. For South Africa in particular this has been somewhat of a contentious issue given the country's controversial past and idiosyncratic socio-economic structure. Since 1994 though, considerable progress towards its global integration has been made, however this has largely coincided with the establishment of, arguably, the highest levels of income inequality the world has ever seen. This all has raised several questions as to whether a more financially open and technologically integrated economy has induced greater within-country inequality (WCI). This study therefore has the objective to analyse the impact of the various dimensions of globalisation (economic, social and political) on inequality in South Africa. Secondary annual time series from 1990 to 2018 were used sourced from the World Bank Development indicators database, KOF Swiss Economic Institute and the World Inequality database. By using different measures of inequality (Palma ratios and distribution figures), the study employed two ARDL models to test the long-run relationships with the purpose to ensure the robustness of the results. Likewise, two error correction models (ECM) were used to analyse the short-run dynamics between the variables. As a means of identifying the casual effects between the variables, a Toda-Yamamoto granger causality analysis was utilised. Keywords: ARDL, Inequality, Economic Globalisation; Social Globalisation; South Africa

GOAALLL!: Using sentiment in the world cup to explore theories of emotion

2017 ◽  
Vol 65 ◽  
pp. 58-65 ◽  
Author(s):  
Gale M. Lucas ◽  
Jonathan Gratch ◽  
Nikolaos Malandrakis ◽  
Evan Szablowski ◽  
Eli Fessler ◽  
...  
Keyword(s):  
World Cup ◽  
The World

Collective Decision-making: FIFA from the Perspective of Public Choice

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Florian Follert ◽  
Lukas Richau ◽  
Eike Emrich ◽  
Christian Pierdzioch
Keyword(s):  
Decision Making ◽  
Public Choice ◽  
Choice Theory ◽  
Collective Decision ◽  
Public Confidence ◽  
Collective Decision Making ◽  
Public Choice Theory ◽  
World Cup ◽  
The World ◽  
Selection Of

AbstractVarious scandals have shaken public confidence in football's global governing body, Fédération Internationale de Football Association (FIFA). It is evident that decision-making within such a collective provides incentives for corruption. We apply the Buchanan-Tullock model that is known from Public Choice theory to study collective decision-making within FIFA. On the basis of this theoretical model, we develop specific proposals that can contribute to combating corruption. Three core aspects are discussed: the selection of the World Cup host, transparency in the allocation of budgets, and clear guidelines for FIFA officials and bodies with regard to their rights and accountability. Our insights can contribute to a better understanding of collective decision making in heterogenous groups.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

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