scholarly journals Environmental Regulations and CO2 Mitigation for Sustainability: Panel Data Analysis (PMG, CCEMG) for BRICS Nations

2021 ◽  
Vol 14 (1) ◽  
pp. 72
Author(s):  
Muddassar Sarfraz ◽  
Larisa Ivascu ◽  
Lucian-Ionel Cioca
Keyword(s):  
Panel Data ◽  
Environmental Regulations ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Pollution Reduction ◽  
Kuznets Curve ◽  
Market Failures ◽  
Emission Mitigation ◽  
Environmental Laws ◽  
Using Data

The relationship between income and pollution is contested, yet wealth alone is insufficient to regulate emissions, which necessitates environmental regulations. Even if inadequate environmental laws may overcome market failures produced by pollution’s negative externality, a thorough examination of their function in pollution management is critical. This research takes a step forward in offering a fresh viewpoint on the function of environmental laws in pollution reduction for BRICS (Brazil, Russia, India, China, and South Africa) nations to better understand the role of environmental regulations in CO2 emission mitigation. The research presented here uses panel data econometric methodologies to achieve this goal, using data from 1995 to 2018. In addition, to provide country-specific findings, the research employs a completely modified ordinary least squares estimator. Environmental laws provide a beneficial influence in reducing carbon emissions. According to the empirical findings, the present environmental regulation positively meets pollution reduction objectives in chosen nations. The environment Kuznets curve (EKC) between pollution and income is controlled by environmental restrictions. Climate change mitigation in BRICS nations is driven by strong environmental policies and economic growth.

Panel Data Analysis of Determinants of Leverage in the Automobile Industry in India

GIS Business ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 29-47
Author(s):  
Vibha Tripathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Automobile Industry ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Order Theory ◽  
Ordinary Least Squares ◽  
Pecking Order ◽  
Trade Off ◽  
Coverage Ratio

The study tries to investigate the key determinants of capital structure of leading automobile companies and the Automobile Industry in India. The study also tracks the theory implications, i.e. trade off vs. pecking order in these firms and the industry in general. An attempt is to see, if individually each sample company and the whole industry are influenced by the same determinants of capital structure. Pooled ordinary least squares and panel data econometric techniques such as fixed effect models are used to investigate the most significant determinants that affect the capital structure choice of 10 leading companies categorized as BSE Auto Top 100 and the Automobile Industry as a whole for a period of 14 years from 2000–2001 to 2013–2014. The study reveals some interesting facts and results. Multiple regression analysis reveals that while profitability and size are significant determinants in most of the leading companies; NDTS, Growth, and Debt service coverage ratio are not significant for these companies. While the Panel data results of the Automobile Industry as a whole reveals that profitability is the only significant determinant having negative relationship with debt equity ratio; and the other variables are insignificant. Also individual companies coefficient results shows implications of mix of pecking order and trade off theories while the panel data results of the whole Industry strongly supports the Pecking order theory.

Determinants of United Kingdom General Insurance Company Performance

2004 ◽  
Vol 10 (5) ◽  
pp. 1079-1110 ◽  
Author(s):  
Y. Shiu
Keyword(s):  
United Kingdom ◽  
Panel Data ◽  
Performance Measures ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Insurance Companies ◽  
Company Performance ◽  
Insurance Company ◽  
Data Set ◽  
General Insurance

ABSTRACTDynamic financial analysis has become one of the important tools that actuaries use to model the underwriting and investment operations of insurance companies. The first step in carrying out the analysis is to investigate the most important factors affecting company performance. This paper identifies the determinants of the performance of United Kingdom general insurance companies using a panel data set consisting of economic data and Financial Services Authority/Department of Trade and Industry returns over the period 1986 to 1999. Three performance measures are used to capture different aspects of insurance operations. These measures are related to a number of economic and firm specific variables, chosen on the basis of relevant theory and literature. An ordinary least squares regression model and two panel data models are estimated for each of three performance measures. This paper also addresses several important econometric problems that are usually ignored in applied work in the context of panel data analysis. Based on the empirical results, this study finds that liquidity, unexpected inflation, interest rate level and underwriting profits are statistically significant determinants of the performance of U.K. general insurers.

scholarly journals The Environmental Kuznets Curve and Sustainability: A Panel Data Analysis

2014 ◽  
Author(s):  
Sahbi Farhani ◽  
Sana Elouaer Mrizak ◽  
Anissa Chaibi ◽  
Christophe Rault
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Environmental Kuznets Curve ◽  
Panel Data Analysis ◽  
Kuznets Curve

The impact of biofuel consumption on CO2 emissions: A panel data analysis for seven selected G20 countries

2020 ◽  
Vol 31 (8) ◽  
pp. 1498-1514 ◽  
Author(s):  
Bingjie Xu ◽  
Ruoyu Zhong ◽  
Hui Qiao
Keyword(s):  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Global Climate ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Urbanization Rate ◽  
The Impact ◽  
Fossil Fuel Energy ◽  
Fossil Fuel Energy Consumption

Internationally, biofuel energy as a renewable energy source has been increasingly appreciated by various industries. The benefits of biofuel energy for environmental protection and global climate change cannot be denied. Hence, this paper examines the nexus among economic growth, biofuel consumption, urbanization rate, and CO2 emissions in seven selected Group of Twenty countries (G20) over 2001–2017. The results of fully modified ordinary least squares suggest that the environmental Kuznets curve (EKC) exists between economic growth and CO2 emissions, and the impact of biofuel consumption and the urbanization rate on CO2 emissions is negative and positive, respectively. The purpose of this paper is to investigate the nexus among economic growth, biofuel consumption, urbanization rate, and CO2 emissions. The significance of this paper is to add biofuel consumption as a new variable for a panel of seven selected Group of Twenty (G20) countries covering 2001–2017. In addition, this study put urbanization into the current environmental Kuznets curve model to validate that urbanization can increase CO2 emissions. Developing the biofuel industry can not only diminish fossil fuel energy consumption but also offer huge potential to reduce CO2 emissions.

Efficiency assessment of banking sector in Yemen using data envelopment window analysis

2015 ◽  
Vol 22 (6) ◽  
pp. 1115-1140 ◽  
Author(s):  
Fekri Ali Shawtari ◽  
Mohamed Ariff ◽  
Shaikh Hamzah Abdul Razak
Keyword(s):  
Panel Data ◽  
Banking Sector ◽  
Panel Data Analysis ◽  
Data Envelopment ◽  
Content Type ◽  
Window Analysis ◽  
Loan Financing ◽  
Using Data ◽  
Conventional Banks ◽  
The Stability

Purpose – The purpose of this paper is to examine the banking industry’s efficiency using the case of Yemen. Design/methodology/approach – The paper utilises two-stage analysis to evaluate the efficiency adopting Data Envelopment Window Analysis (DEWA) in the first stage for the period 1996-2011. Furthermore, the paper addresses, in two-dimensional matrix, the stability and efficiency of the banking sector in order to assess their ability for survival. In the second stage, panel data analysis is applied to regress a set of bank-specific and macro-economic variables on the efficiency of the banking sector in Yemen in a comparative fashion between Islamic and conventional banks. Findings – The findings of the investigation indicate that the Yemeni banking industry in general was on a declining efficiency’s trend with increased instability during the later period of the investigation. In addition, the study shows that most conventional banks were relatively stable, though inefficient, while Islamic banks were more efficient over the time. The results of panel data regression further suggest that efficiency is related to a number of determinants. Loan/financing, and profitability are the common key determinants of efficiency for both Islamic and conventional banks. However, other determinants have impacted differently for Islamic and conventional banks, which could reflect the uniqueness of their operation and structure. Research limitations/implications – The present study provides a basis for the regulators and bankers to assess the viability of the banking sector and proposes policies to restructure the industry in order to enhance the performance of the whole industry. Originality/value – The paper presents new empirical findings on the efficiency of Islamic and conventional banks in Yemen.

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 environmental Kuznets curve and sustainability: A panel data analysis

Energy Policy ◽  
2014 ◽  
Vol 71 ◽  
pp. 189-198 ◽  
Author(s):  
Sahbi Farhani ◽  
Sana Mrizak ◽  
Anissa Chaibi ◽  
Christophe Rault
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Environmental Kuznets Curve ◽  
Panel Data Analysis ◽  
Kuznets Curve

scholarly journals Relationship of Foreign Trade and Economic Growth in Eurasian Economy: Panel Data Analysis

2017 ◽  
Vol 9 (9) ◽  
pp. 1 ◽  
Author(s):  
Nazife Özge Kilic ◽  
Murat Beser
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Foreign Trade ◽  
Panel Data Analysis ◽  
Homogeneity Test ◽  
Causality Test ◽  
Cross Sectional ◽  
Using Data ◽  
Relationship Of

In this study, relationship between foreign trade and economic growth had been examined for the countries of Eurasia Economic Union by using data in era of 1992-2015 with the help of panel data analysis. First of all, cross-sectional dependency and homogeneity test had been done in the study and it had been concluded that there is cross-sectional dependency in between the series. For this purpose, unit root and causality test considering the cross-sectional dependency had been applied. Relationship between the variables had been analyzed with the panel causality test developed by Konya (2006). It had been determined that there is bi-directional causality from growth to export and unidirectional causality from growth to import.

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