scholarly journals Industrial determinants of anti-dumping in Brazil – Protection, competition and performance: An analysis with binary dependent variable and panel data

EconomiA ◽  
2014 ◽  
Vol 15 (2) ◽  
pp. 206-227 ◽  
Author(s):  
Glauco Avelino Sampaio Oliveira
Author(s):  
Willibald Ruch ◽  
Alexander G. Stahlmann

Abstract Recent theoretical advances have grounded gelotophobia (Greek: gelos = laughter, phobos = fear) in a dynamic framework of causes, moderating factors, and consequences of the fear of being laughed at. This understanding corresponds to that of vulnerability and translates gelotophobia into a distinguishable pattern of lacking resources (i.e., misinterpretation of joy and laughter) that can result in negative consequences (e.g., reduced well-being and performance) if individuals have no access to further resources (e.g., social support) or are exposed to severe stressors (e.g., workplace bullying). Based on the panel data provided by the Swiss National Centre of Competence in Research LIVES (N = 2469 across six measurement intervals), this study takes the first step toward empirically testing this model’s assumptions: First, we computed exemplary zero-order correlations and showed that gelotophobia was negatively connected with social support (resource) and life and job satisfaction (consequences) and positively connected with perceived stress, work stress, and workplace bullying (stressors). Second, we used longitudinal cluster analyses (KmL; k-means-longitudinal) and showed that the panel data can be clustered into three stable patterns of life and job satisfaction and that gelotophobia is primarily related to the two clusters marked by lower levels of satisfaction. Third, we computed partial correlations and showed that social support, perceived stress, and work stress (but not workplace bullying) can weaken or completely resolve gelotophobia’s relationships with such diverging trajectories of life and job satisfaction. We concluded that seeing gelotophobia through the lens of vulnerability is useful and that such research warrants further attention using more dedicated, theoretically grounded projects.


Author(s):  
Yohannes Yebabe Tesfay

In the airline industry, the term load factor defined as the percentage of seats filled by revenue passengers and is used to measure efficiency and performance. This metric evaluates the airlines capacity and demand management. This paper applies stochastic models to analyse the load factor of the Association European Airlines (AEA) for flights of Europe - North Africa and Europe- Sub Saharan Africa. The estimation result prevails that the airlines have better demand management in the flights of Europe- Sub Saharan Africa than in the flight of Europe - North Africa. However, the capacity management of the airlines is poor for both regional flights. The autocorrelation structures for the load factor for both regional flights have both periodic and serial correlations. Consequently, the use of ordinal panel data models is inappropriate to capture the necessary variation of the load factor of the regional flights. Therefore, in order to control for the periodic autocorrelation, the author introduces dynamic time effects panel data regression model. Furthermore, in order to eliminate serial correlation the author applies the Prais–Winsten methodology to fit the model. Finally, the author builds realistic and robust forecasting model of the load factor of the Europe- North Africa and Europe-Sub Saharan Africa flights.


Author(s):  
Yohannes Yebabe Tesfay

In the airline industry, the term load factor defined as the percentage of seats filled by revenue passengers and is used to measure efficiency and performance. This metric evaluates the airlines capacity and demand management. This paper applies stochastic models to analyse the load factor of the Association European Airlines (AEA) for flights of Europe - North Africa and Europe- Sub Saharan Africa. The estimation result prevails that the airlines have better demand management in the flights of Europe- Sub Saharan Africa than in the flight of Europe - North Africa. However, the capacity management of the airlines is poor for both regional flights. The autocorrelation structures for the load factor for both regional flights have both periodic and serial correlations. Consequently, the use of ordinal panel data models is inappropriate to capture the necessary variation of the load factor of the regional flights. Therefore, in order to control for the periodic autocorrelation, the author introduces dynamic time effects panel data regression model. Furthermore, in order to eliminate serial correlation the author applies the Prais–Winsten methodology to fit the model. Finally, the author builds realistic and robust forecasting model of the load factor of the Europe- North Africa and Europe-Sub Saharan Africa flights.


Author(s):  
MAHAMMADHUSEN KHORAJIYA ◽  
R Shiyani ◽  
Narendrabhai Ardeshna ◽  
Basa Swaminathan ◽  
Murlidhar Meena

2021 ◽  
Vol 251 ◽  
pp. 03032
Author(s):  
Wenzhen Mai ◽  
Dr Nik Intan Norhan Binti Abdul Hamid

This study aims to examine the impact of short selling constraints on corporate social responsibility (CSR) of listed tourism companies in China. Based on the external governance theory, it is hypothesized that short selling deregulation provides a monitoring function on CSR performance of tourism companies, which are highly exposed to social and environmental problems. A multiple linear regression is conducted with a panel data of Chinese 21 listed tourism firms between 2010 and 2018. The descriptive statistics show that average CSR score of Chinese tourism companies is 25.52/100, which represents low CSR performance of tourism industry. The regression results illustrate that short selling constraints relaxation can improve CSR performance of tourism companies. The findings of this study indicate that financial policymakers shall consider further relaxation of short selling constraints, which can be beneficial to industry, such as tourism, that are sensitive to CSR practices and performance.


2016 ◽  
Vol 63 (4) ◽  
pp. 441-454 ◽  
Author(s):  
Emel Yücel ◽  
Yıldırım Önal

In this study, we investigated the relationship between industrial diversification and firm performance using a market-based performance measure and an accounting measure. We used the data of the firms listed on Borsa Istanbul during the period between 2006 and 2012. The results of the panel data indicate that there is a significant positive relationship between diversification and performance. We found that diversified firms outperformed the single firms. As is compatible with a resource-based approach, it was found that diversified firms tended to use their resources more efficiently compared to single firms.


KANT ◽  
2020 ◽  
Vol 37 (4) ◽  
pp. 118-124
Author(s):  
Ekaterina Koroleva ◽  
Natalia Iakim

The article examines the relationship between the financial architecture of the enterprise and the performance indicator of the enterprise in the retail industry, expresses the author's view of the concept of financial architecture as a whole and the factors that determine it. Using the method of panel data regressions, a model for evaluating the factors of the financial architecture of the enterprise on the indicator of residential income (EVA) is constructed in order to confirm the relationship between the studied categories.


2019 ◽  
Vol 5 (1) ◽  
pp. 105-114
Author(s):  
Peter Nderitu Githaiga ◽  
Joyce Kiomosop Komen ◽  
Josephat Cheboi Yegon

Globalization, changing customer expectation and shrinking product life-cycle depict process capital as a source of competitive advantage in modern economies. Consequently, organizations are gradually becoming more process oriented to cope with a dynamic environment. However, the process capital and performance causality is scanty in extant literature. Besides, previous studies overlooked the process aspect of process capital. Thus, the objective of this study was to determine whether the “process” of process capital matters to firm performance. The hypothesis was tested using panel data for the years 2008-2017 extracted from 31 commercial banks in Kenya. The findings showed that process capital had a positive and significant effect on performance (β = 0.275, ρ-value 0.000<0.05). Consistent with the resource based view theory; the study concluded that the process of process capital influences firm performance.


2022 ◽  
pp. 340-353
Author(s):  
Maria Elisabete Neves ◽  
Germano Maurício ◽  
Lucas Rodrigues

This study investigates the relevance of stock buy/sell transactions by insiders in Portuguese companies' performance. To achieve this aim, the sample covers the period from 2013 to 2017. The data from buy/sell transactions by insiders were collected in the internal transaction reports delivered by the companies to the Portuguese Securities Market Commission for the same time interval. The results, using panel data methodology, suggest a negative relationship between the long/short positions and the companies' performance, although the volume traded is not significant. Therefore, the increased control of Portuguese companies by their managers signals the existence of conflicts of interest of the managers, whether due to financial reasons or to strengthen their continuity in the position. As far as the authors are aware, this is the first time that a study has been carried out using insider transactions for Portuguese companies and their influence on corporate performance.


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