Determinants of banks’ profitability in Angola

2019 ◽  
Vol 10 (1) ◽  
pp. 116-128
Author(s):  
Maria Teresa Medeiros Garcia ◽  
Maria José Trindade
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Design Methodology ◽  
Panel Data Analysis ◽  
Control Variables ◽  
Content Type ◽  
Independent Variables ◽  
Two Measures ◽  
Ability And Willingness

Purpose The purpose of this paper is to analyze the factors that influence the profitability of 17 banks in Angola between 2010 and 2016, as low profitability weakens the ability and willingness of banks to finance the wider economy. Design/methodology/approach The paper conducts panel data analysis, using two measures of profitability: the return on average assets and the return on average equity. Several control variables were included concerning both bank-specific and macroeconomic characteristics which have not been considered in previous studies. Findings The authors conclude that several independent variables have an impact which is different from expected, especially regarding ownership, which shows positive statistically significant effect on banks’ profitability. Originality/value To the best of the authors’ knowledge, this is the first attempt to examine determinants of banks’ profitability in Angola, both internal and external, which have not been considered in previous studies.

Board diversity and corporate social responsibility in Jordan

2016 ◽  
Vol 14 (2) ◽  
pp. 279-298 ◽  
Author(s):  
Abdul Hadi Ibrahim ◽  
Mustafa Mohd Hanefah
Keyword(s):  
Corporate Social Responsibility ◽  
Data Analysis ◽  
Panel Data ◽  
Social Responsibility ◽  
Panel Data Analysis ◽  
Arab Countries ◽  
Board Diversity ◽  
Content Type ◽  
Csr Disclosure ◽  
Corporate Social

Purpose This study aims to investigate the impact of board diversity characteristics, namely, independence, gender, age and nationality of directors on the level of corporate social responsibility (CSR) disclosures. Design/methodology/approach Content analysis was used to determine CSR disclosure. This study used panel data analysis to investigate the influence of board diversity characteristics on CSR disclosures. Findings Panel data analysis show that the level of CSR disclosure has increased over the period of study. Results also reveal a positive and significant association between the level of CSR disclosure and board diversity variables. Research limitations/implications This study examined only companies listed on Amman Stock Exchange. Therefore, the generalisation of the results might be limited to the listed companies only. Practical implications Findings are relevant to policymakers, professional organisations and practitioners in Jordan and in other Arab countries. Social implications The role of women in the boardroom is important to ensure more CSR activities by the listed companies. Jordan being a Muslim country should take the initiative to introduce laws to increase the number of women to the board. Originality/value This study offers significant contributions to existing CSR literature in Jordan and in other Arab countries by introducing female directors. Findings are important to policymakers. They should implement quotas for women in the boardroom, and adopting such a policy will increase the participation of women in the decision-making process of the companies and reduce gender bias.

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aspasia Vlachvei ◽  
Ourania Notta ◽  
Eirini Koronaki
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Customer Engagement ◽  
Content Type ◽  
Interactive Engagement ◽  
Long Run ◽  
Three Stages ◽  
The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

Financial development and self-employment

2020 ◽  
Vol 19 (3) ◽  
pp. 339-357
Author(s):  
Papar Kananurak ◽  
Aeggarchat Sirisankanan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Financial Development ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Random Effect Model ◽  
Direct Examination ◽  
Content Type ◽  
Self Employment ◽  
The Impact

Purpose There are several different factors that can influence self-employment. However, there is little evidence stemming from direct examination of the impact of financial development (FD) on self-employment. This study aims to formulate empirical specification models to examine the effect of FD on self-employment. Design/methodology/approach Panel data analysis of 136 sample countries was performed during the period from 2000 to 2017. This study initially implemented the new financial index developed by the International Monetary Fund (IMF) to examine the impact of FD on self-employment. Panel data analysis including the pooled model, fixed effect and random effect model has been carried out. Findings The empirical results show that the financial institutions index has a negative significant impact on self-employment by a considerable magnitude, whereas the financial markets index does not show any statistical significance. The results also find that the government effectiveness index is negative and statistically significant on self-employment. Originality/value There are several different factors which can influence self-employment. Nevertheless, there is little evidence for the direct examination of the impact of FD on self-employment. This study investigated the impact of FD on self-employment by using the new FD index created by the IMF. The finding may help policymakers to implement FD along with other institutional policies to control self-employment.

Office rents, mixed-use developments, and agglomeration economies: a panel data analysis

2017 ◽  
Vol 35 (5) ◽  
pp. 455-471 ◽  
Author(s):  
Ervi Liusman ◽  
Daniel Chi Wing Ho ◽  
Hiu Ching Lo ◽  
Daniel Yet Fhang Lo
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Agglomeration Economies ◽  
Content Type ◽  
Mixed Use ◽  
Close Proximity ◽  
Single Use ◽  
Office Rent ◽  
Office Development

Purpose The purpose of this paper is to investigate the relationship between office rents and mixed-use development in the context of agglomeration economies. Design/methodology/approach Using a sample of 10,209 observations in 100 Grade A office buildings in Hong Kong from January 2001 to June 2011, the authors estimated office rent regression using unbalanced panel data analysis. Findings The results show that rents decreased with an increase in distance from retailers and hotels. Furthermore, the results revealed that, ceteris paribus, office tenants were willing to pay higher rents in a mixed-use than in a single-use office development. Research limitations/implications There is an existence of agglomeration economies due to the clustering of various industries in mixed-use developments, which allow for their close proximity to potential clients. Practical implications The diversity of activities in a mixed-use development benefit its tenants and, thus, convince them to pay higher rents. Higher rents generated by a mixed-use facility will attract more investors to it. Investors should seek opportunities to capitalize on their equity in mixed-use developments. Originality/value This paper attempts to uncover a relationship between office rents and mixed-use developments by drawing on the concept of agglomeration economies.

How does environmental performance map into environmental disclosure?

2019 ◽  
Vol 10 (1) ◽  
pp. 62-96 ◽  
Author(s):  
Hani Tadros ◽  
Michel Magnan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Environmental Performance ◽  
Panel Data Analysis ◽  
Environmental Disclosure ◽  
Cross Sectional ◽  
Content Type ◽  
Period Effects ◽  
Environmental Disclosures ◽  
Sustainability Reports

Purpose Focusing on a sample of firms from environmentally sensitive industries over several years, this study aims to reexamine the association between environmental disclosure and environmental performance. Design/methodology/approach The authors use a panel data analysis to examine how the interaction between environmental performance and economic and legitimacy factors influence firms’ environmental disclosures. Findings Results suggest that environmental performance moderates the effect of economic and legitimacy incentives on firms’ propensity to provide proprietary environmental disclosure, with both sets of incentives being influential. More specifically, there appears to be a reporting bias based on the firm’s environmental performance whereas the high-performers disclose more environmental information in the three following vehicles: annual report, 10-K and sustainability reports combined. Results also show that economic and legitimacy factors influence the disclosure decisions of the low and high environmental performers differently. Practical implications Understanding the determinants of environmental disclosure for high and low environmental performers helps regulators to close the reporting gap between these firms. Social implications There is little evidence to suggest that firms with low-environmental performance attempt to use their disclosures to legitimize their environmental operations. Originality/value The study examines environmental disclosures of 78 firms over a period of 14 years in annual, 10-K and sustainability reports. The panel data analysis controls for significant cross-sectional and period effects.

Data hiding the truth for the last few years: a panel data analysis of crimes against women

2019 ◽  
Vol 5 (2) ◽  
pp. 132-143
Author(s):  
Aarthee Ragunathan ◽  
Ezhilmaran Devarasan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Violence Against Women ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Thomson Reuters ◽  
Crime Types ◽  
Crimes Against Women

PurposeThe offence against femininity has not only destroyed India’s development but also its future. When it comes down to the most important factor like sex, the social evils like “sati” and “dowry” that had been plaguing our country have been banned in India. India is the most dangerous nation in regard to sexual violence against women, according to the summary of the Thomson Reuters Foundation, 2018. The purpose of this paper is to determine the relationship between the total populations of women with other different types of women crime in all states in India.Design/methodology/approachThis paper will review existing panel data analysis literature and apply this knowledge in finding the highly occurred women crimes in India. Using R software the following models are analysed: pooled ordinary least squares, fixed effects models and random effects models for analysing the women crimes in India.FindingsIn this paper, the authors identify that the fixed effects model is more appropriate for the analysis of women crimes in India.Practical implicationsViolence against women is a social, economic, developmental, legal, educational, human rights and health issue. This paper can be used to find the importance of women crime types. Moreover, the police or legal department can take actions according to the crime types.Originality/valueThere is a lack of literature considering the crimes against women. This will help the society to understand women crime types because the only type of violence that has received much attention by the media is rape. But, through our panel data analysis, we conclude that kidnapping, abduction and dowry death are the most occurred crimes against women in India.

scholarly journals The Determinants of Capital Structure of the Chemical Industry in Pakistan

2008 ◽  
Vol 13 (1) ◽  
pp. 139-158 ◽  
Author(s):  
Muhammad Rafiq ◽  
Asif Iqbal ◽  
Muhammad Atiq
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Chemical Industry ◽  
Panel Data Analysis ◽  
Policy Implications ◽  
Listed Firms ◽  
Independent Variables ◽  
Tax Shield ◽  
Debt Tax Shield

This study is an attempt to determine the capital structure of listed firms in the chemical industry of Pakistan. The study finds that by studying a specific industry's capital structure, one can ascertain unique attributes, which are usually not apparent in the combined analysis of many sectors as done by Shah and Hijazi (2004). This study analyzed 26 of 39 firms in the chemical sector, listed at the Karachi Stack Exchange for the period 1993-2004 using pooled regression in a panel data analysis. Six regressors i.e. firm size, tangibility of assets, profitability, income variation, non-debt tax shield (NDTS) and growth were employed to examine their effects on leverage. The results show that these six independent variables explain 90% of variation in the dependent variable and, except for firm tangibility, results were found to be highly significant. The study has policy implications of importance for researchers, investors, analysts and managers.

scholarly journals Determining the Relationship between the Items of the Cash Flow Statement with Abnormal Output in the Companies Enlisted in Stock Exchange Organization

2014 ◽  
Vol 5 (3) ◽  
pp. 850-863
Author(s):  
Hassan Ghodrati ◽  
Fatemeh Haftlang Mohammadjani ◽  
Hossein Jabbari
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Cash Flow ◽  
Positive Relationship ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Cash Flows ◽  
Independent Variables ◽  
The Relationship ◽  
Random Method

The continuity of the operations, growth or decrease in the business activities of any company is in line with the on time and optimized funding of cash liquidity and suitable as well as the proper use of them in investment paths in the direction of creating output and ultimately, to increase the shareholders wealth. The goal of this research is to determine the relationship between cash liquidity and abnormal output of stocks. For this purpose, 130 companies were selected by employing simple random method among the companies were enlisted in Stock Exchange Organization. Different cash liquidities included the operational and non-operational cash flows were taken as the five main independent variables, the divisible profits, financial leverage and the size of the company were defined as other independent variables; and, the abnormal output of stock was considered as dependent variable. After analyzing the pre-hypothesis by using combined multi-variable regression and based on the panel data analysis, five linear relations were assessed. The results of the research showed positive relationship between different cash flows, except tax cash flow and the abnormal output of stock. With respect to the determining coefficients which were obtained, the assessed relationship was considered very weak linear relation. The results of T.Student and Fischer showed that the assessed relationship was not significant in the statistical society level. Analyzing the non-parametric correlation showed similar results.

scholarly journals Determinants of Capital Structure: A Case for the Pakistani Cement Industry

2006 ◽  
Vol 11 (1) ◽  
pp. 63-80 ◽  
Author(s):  
Syed Tahir Hijazi ◽  
Yasir Bin Tariq
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Capital Structure ◽  
Firm Size ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Cement Industry ◽  
Combined Analysis ◽  
Listed Firms ◽  
Independent Variables

This paper attempts to determine the capital structure of listed firms in the cement industry of Pakistan. The study finds that a specific industry’s capital structure exhibits unique attributes which are usually not apparent in the combined analysis of many sectors as done by Shah & Hijazi (2005). The study took 16 of 22 firms in the cement sector, listed at the Karachi Stock Exchange for the period 1997-2001 and analyzed the data by using pooled regression in a panel data analysis. Following the model developed by Rajan & Zingle (1995) it has chosen four independent variables i.e. firm size (measured by natural log of sales), tangibility of assets, profitability and growth and further analyzed the effects on leverage. The results, except for firm size, were found to be highly significant.

Effects of globalization on food production in five European countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fahimeh Khatami ◽  
Francesca Ricciardi ◽  
Angelo Cavallo ◽  
Valter Cantino
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Food Production ◽  
Food Industry ◽  
Panel Data Analysis ◽  
Methodological Approach ◽  
European Countries ◽  
Content Type ◽  
Spatial Changes ◽  
Multidisciplinary Interactions

PurposeThe purpose of this paper is to investigate the effects of globalization convergence (GC) and its components (social, economic, political, technological and ecological) on food production (FP).Design/methodology/approachThe methodological approach adopted is based on a quantitative approach, using a static panel data analysis with relevant data from five European countries within five time intervals (2013–2017).FindingsThe results indicated that three components of globalization (social, technological and ecological) could significantly contribute to the food industry, while two other components of globalization (economic and political) are negatively correlated with FP.Research limitations/implicationsThis study contributes to the theoretical recognition of the role of globalization in influencing FP in multidisciplinary interactions. Meanwhile, this study's main limitation lies in the statistical method of panel data analysis, since temporal and spatial changes have not been investigated.Originality/valueDespite the literature on globalization's effect on FP, each globalization component's effect has not been investigated appropriately within cross-countries studies. Hence, the present study addresses a gap in the extant literature by examining the globalization effects on the food industry to promote globalized food security, opportunities and solutions in the study areas.

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