scholarly journals The Implication of NESREA Act and Financial Performance on Environmental Disclosure in Nigeria

2021 ◽  
pp. 106-121
Author(s):  
Aminu Abdullahi ◽  
Babangida Mohammed Auwal
Keyword(s):  
Regression Models ◽  
Management Practices ◽  
Secondary Data ◽  
Financial Information ◽  
P Value ◽  
Panel Regression ◽  
Total Revenue ◽  
Environmental Disclosure ◽  
Environmental Management Practices ◽  
Panel Regression Models

The study assesses the implication of compliance and enforcement of the NESREA Act, profitability, and Growth on environmental disclosure of cement companies in Nigeria. Secondary data comprising financial and non-financial information were source from annual accounts and reports of the sample companies, spanning a period of five years (2015 – 2019). Panel regression models were considered in assessing the implication of the variables under study. The findings reveal that NDI has a significant P-value which signifies that compliance with NESREA Act increases environmental disclosure by 2.9%. ROA also exerts a significant impact on environmental disclosure. This implies that a 1% increase in the profitability of the sample companies will increase environmental disclosure by 1.4%. Firm Size is also positive and exerts significant impact, by implication, the result suggested that an increase in the total revenue will lead to about 9% increase in environmental disclosure. Hence the study recommends among others that measuring, treatment, disclosure, and reporting of environmental activities need to be standardized and mandated to give a true and fair view of environmental management practices. These will not only protect the environment but will also enhance the firm's competitiveness and subsequently lead to high corporate performance.

scholarly journals Relationships between Renewable Energy and the Prevalence of Morbidity in the Countries of the European Union: A Panel Regression Approach

2021 ◽  
Vol 18 (12) ◽  
pp. 6548
Author(s):  
Robert Stefko ◽  
Beata Gavurova ◽  
Miroslav Kelemen ◽  
Martin Rigelsky ◽  
Viera Ivankova
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Statistical Methods ◽  
Regression Models ◽  
Kidney Diseases ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Panel Regression ◽  
The European Union ◽  
Panel Regression Models

The main objective of the presented study was to examine the associations between the use of renewable energy sources in selected sectors (transport, electricity, heating, and cooling) and the prevalence of selected groups of diseases in the European Union, with an emphasis on the application of statistical methods considering the structure of data. The analyses included data on 27 countries of the European Union from 2010 to 2019 published in the Eurostat database and the Global Burden of Disease Study. Panel regression models (pooling model, fixed (within) effects model, random effects model) were primarily used in analytical procedures, in which a panel variable was represented by countries. In most cases, positive and significant associations between the use of renewable energy sources and the prevalence of diseases were confirmed. The results of panel regression models could be generally interpreted as meaning that renewable energy sources are associated with the prevalence of diseases such as cardiovascular diseases, diabetes and kidney diseases, digestive diseases, musculoskeletal disorders, neoplasms, sense organ diseases, and skin and subcutaneous diseases at a significance level (α) of 0.05 and lower. These findings could be explained by the awareness of the health problem and the response in the form of preference for renewable energy sources. Regarding statistical methods used for country data or for data with a specific structure, it is recommended to use the methods that take this structure into account. The absence of these methods could lead to misleading conclusions.

scholarly journals Does ESG Disclosure Create Value to Firms? The Malaysian Case

2018 ◽  
pp. 515-521
Keyword(s):  
Social Norms ◽  
Regression Models ◽  
Financial Data ◽  
Panel Regression ◽  
Tobin’S Q ◽  
Publicly Traded ◽  
Tobin's Q ◽  
Publicly Traded Firms ◽  
Governance Disclosure ◽  
Panel Regression Models

We examine whether ESG (Environmental, Social and Governance) disclosure creates value to Malaysian firms. Based on the dataset of 37 Malaysian publicly traded firms, our results obtained from various panel regression models show that the overall ESG disclosure score and its environmental and governance pillars are positively associated with Tobin’s Q. This implies that Malaysian firms which act in accordance to social norms will be rewarded by the market. The outcomes of this research highlight the importance of non-financial data disclosure in Malaysian market.

scholarly journals Pengaruh Struktur Modal dan Kemampulabaan Terhadap Return Saham Perusahaan Properti dan Real Estate Yang Terdaftar di BEI Tahun 2013-2015

2020 ◽  
Vol 8 (1) ◽  
pp. 19-28
Author(s):  
Wadudi Wibowo ◽  
Ani Mekaniwati
Keyword(s):  
Real Estate ◽  
Capital Structure ◽  
Stock Returns ◽  
Financial Analysis ◽  
Secondary Data ◽  
Financial Information ◽  
Panel Regression ◽  
Independent Variables ◽  
Property Companies ◽  
Two Independent Variables

This research is to acknowledge the influence of capital structure and profitability to the stock returns of the listed real estate and property companies in BEI on 2013-2015. This research consists of two independent variables regarding capital structure and profitability, and one dependent variable regarding stock returns. Data used is secondary data which could be accessed from www.idx.co.id . The hypothesis testing in this research uses data panel regression model. The results are: 1) positive & significant results between DER towards capital returns 2) positive & significant results between NPM towards capital returns. The contributions for potential investors, this research was hoped to increase the knowledges of financial information of the companies specialised in real estate & properties sector. Also hoped to give good contributions to discussion on financial analysis particularly related with DER, NPM & capital returns.   Keywords : capital structure, profitability, stock returns, and data panel regression

Influence of tree cover and urban area on streamflow in the United States using multiple statistical attribution techniques

2021 ◽  
Author(s):  
Bailey Anderson ◽  
Louise Slater ◽  
Simon Dadson ◽  
Annalise Blum
Keyword(s):  
Land Cover ◽  
Urban Area ◽  
Regression Models ◽  
The United States ◽  
Additive Models ◽  
Tree Cover ◽  
Panel Regression ◽  
Distributional Regression ◽  
Panel Regression Models ◽  
Modelling Approaches

<p>There is still limited quantitative understanding of the effects of tree cover and urbanisation on streamflow at large scales, making it difficult to generalize these relationships. We use the globally consistent European Space Agency (ESA) Climate Change Initiative (CCI) Global Land Cover dataset to estimate the relationships between streamflow, calculated as high (Q0.99), median (Q0.50), and low (Q0.01) flow quantiles, and urbanization or tree cover changes in 2865 catchments between the years 1992 through 2018. We apply three statistical modelling approaches and examine the consistencies and inconsistencies between them. First, we use distributional regression models -- generalized additive models for location, scale, and shape (GAMLSS) -- at each site and assess goodness-of-fit. Model fits suggested a strong association between land cover, especially urban area, and low and median flows at sites with statistically significant trends in streamflow. We then examine the sign of the distributional regression model coefficients to determine whether the inclusion of a land cover variable in the regression models results in a relative increase or decrease in flow, regardless of the overall direction of trends in streamflow. Finally, we use fixed effects panel regression models to estimate the average effect across all sites. Panel regression results suggested that a 1% increase in urban area corresponds to between a < 1% and 2.1% increase in streamflow for all quantiles. Results for the tree cover panel regression models were not significant. We highlight the value of statistical approaches for large-sample attribution of hydrological change, while cautioning that considerable variability exists across catchments and modelling approaches.</p>

League Ranking Mobility Affects Attendance: Evidence From European Soccer Leagues

2020 ◽  
Vol 21 (8) ◽  
pp. 808-828
Author(s):  
András Gyimesi
Keyword(s):  
Regression Models ◽  
Panel Regression ◽  
Competitive Balance ◽  
Uncertainty Of Outcome ◽  
Panel Regression Models

Ranking mobility belongs to the indicators of dynamic long-term competitive balance, as it is based on season to season changes in league rankings. If the uncertainty of outcome hypothesis holds at the league level, ranking mobility might increase demand for league games. This assumption is tested by using panel regression models on data of 19 European domestic soccer leagues. Ranking mobility is found to significantly affect average stadium attendance per game, particularly if only the top 5 ranking positions are considered. Results suggest that the closeness of competition across seasons is more important for the fans than within a season.

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