Potential impacts on local quality of life due to sugarcane expansion: a case study based on panel data analysis

ABSTRACTEarnings persistence and earnings transparency are an important factors in company performance. The quality of financial statement will differentiate performance between one company to another. The research purposed to analyze the effect of earnings persistence and earnings transparency on the company performance. In addition, the research purposed to analyze corporate governance as a moderating variable can strengthens the effect between earnings persistence and earnings transparency on company performance. This research using sample of 363 firms-year in 2014-2016 and applying panel data analysis. The results show that earnings persistence variable has a positive significant effect on the company performance. Earning transparency also has a positive significant effect on company performance. For corporate governance as a moderation variable strengthens the effect between earnings persistence and earning transparency to the company performance. Size and age also have a positive significant effect on company performance. Keywords: earnings persistence; earnings transparency; company performance; corporate governance.

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The Financial Performance on Asset Quality of Insurance Industry in Egypt (Panel Data Analysis)

International Business Research ◽

10.5539/ibr.v14n6p24 ◽

2021 ◽

Vol 14 (6) ◽

pp. 24

Author(s):

Salah Mohamed Eladly

Keyword(s):

Data Analysis ◽

Panel Data ◽

Financial Performance ◽

Linear Relationship ◽

Insurance Industry ◽

Panel Data Analysis ◽

Test Statistic ◽

Independent Variable ◽

Asset Quality

This study is an attempt to analyze the  impact of the financial performance on asset quality of insurance industry in Egypt as  applied on a sample of 19 insurance companies over the period 1999-2019.The financial performance measured by profitability (return on equity-return on investment) and liquidity results show that there is a significant negative linear relationship between the independent variable in terms ofX3, and the dependent variable; y, at a significant level less than (0.01), while there is no significant linear relationship between the independent variable of X1,X2, and dependent variable; y at a significant level greater than (0.05) . The study methodology used panel data analysis according to ARDL model and OLS, beside the robustness check supports these results using the Jarque-Bera test and the Durbin-Watson test statistic

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Panel Data

Encyclopedia of Information Science and Technology, Fifth Edition - Advances in Information Quality and Management ◽

10.4018/978-1-7998-3479-3.ch045 ◽

2021 ◽

pp. 637-657

Author(s):

Vera Costa ◽

Rui Portocarrero Sarmento

Keyword(s):

Data Analysis ◽

Panel Data ◽

Spatial Data ◽

Fixed Effects ◽

Panel Data Analysis ◽

Time Data ◽

Theoretical Concepts ◽

R Language ◽

Over Time

Panel data is a regression analysis type that uses time data and spatial data. Thus, the behavior of groups, for example, enterprises or communities, is analyzed through a time scale. Panel data allows exploring variables that cannot be observed or measured or variables that evolve over time but not across groups or communities. In this chapter, two different techniques used in panel data analysis is explored: fixed effects (FE) and random effects (RE). First, theoretical concepts of panel data are presented. Additionally, a case study example of the use of this type of regression is provided. Panel data analysis is performed with R language, and a step-by-step approach is presented.

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