The Impact of Income Inequality on Carbon Emissions in Asian Countries: Non-Parametric Panel Data Analysis

2022 ◽  
Author(s):  
Tarek Ghazouani ◽  
Lamia Beldi
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Carbon Emissions ◽  
Panel Data Analysis ◽  
Asian Countries ◽  
The Impact ◽  
Non Parametric

The Impact of Income Inequality on Carbon Emissions in Asian Countries: Non-Parametric Panel Data Analysis

2021 ◽  
Author(s):  
Tarek Ghazouani ◽  
Lamia Beldi
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Estimation Method ◽  
Asian Countries ◽  
Varying Coefficients ◽  
Time Varying Coefficients ◽  
The Impact ◽  
Non Parametric

Abstract Widening income inequality and environmental degradation are two of the most important problems that threat the sustainable development. For that, this study aims to examine the effect of income distribution on CO2 emissions in seven Asian countries over the period 1971–2014 using a non-parametric panel estimation method and time-varying coefficients. Specifically, we apply the local linear dummy variable estimator (LLDVE) approach that allows evaluating the coefficients which vary over time for the panel data models. The results reveal that there is a strong non-linear correlation between income inequality and per capita CO2 emissions. The non parametric model suggest that there is a negative relationship between income inequality and environment degradation over the whole study period expect for the period 1988–1997 which was positive. Our findings broadly support the existence of the "equity-pollution dilemma", whereby income redistribution induces environmental pollution. This dilemma has potential implications for policies designed to promote redistribution in the selected Asian countries.

scholarly journals National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central—Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2775
Author(s):  
Florian Marcel Nuţă ◽  
Alina Cristina Nuţă ◽  
Cristina Gabriela Zamfir ◽  
Stefan-Mihai Petrea ◽  
Dan Munteanu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Panel Data ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Urban Areas ◽  
Energy Intensity ◽  
Panel Data Analysis ◽  
Machine Learning Algorithms ◽  
The Impact

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

scholarly journals Investigating the Link Between Macroeconomic Factors and Income Inequality of Asian Countries

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Ameenullah Aman ◽  
Usman Ahmad ◽  
Sumera Muhammad Saleem
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Income Inequality ◽  
Positive Relationship ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Asian Countries ◽  
Macroeconomic Factors ◽  
Sample Data ◽  
The Impact

The main purpose of the study was to analyze the impact of macroeconomic factors on income inequality. The panel data analysis is conducted on the sample data of 36 Asian countries. The data of 19 years from the period 2001 to 2019 is collected to analyze the impact of interest rate, economic growth, FDI and exports. The findings revealed the positive relationship between income inequality and economic growth whereas FDI and exports have negative relationship with income inequality. Result of the study implies that authorities should pay special attention to design policies that encourage inward FDI and increase exports.

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.

Impact of Trade and FDI on Income Inequality: A Panel Data Analysis

2021 ◽  
Vol 23 (3) ◽  
pp. 111-131
Author(s):  
Jae Hwa Lee ◽  
Woo Sung Cho
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Panel Data Analysis

scholarly journals Financial Hegemony, Diversification Strategies and the Firm Value of Top 30 FTSE Companies in Malaysia

2016 ◽  
Vol 12 (3) ◽  
pp. 14
Author(s):  
Wan Sallha Yusoff ◽  
Mohd Fairuz Md. Salleh ◽  
Azlina Ahmad ◽  
Norida Basnan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Firm Value ◽  
Financial Stability ◽  
Panel Data Analysis ◽  
Location Decisions ◽  
Asian Countries ◽  
Diversification Strategies ◽  
The Stability ◽  
Southeast Asian Countries

<p>This study investigates the relationships between financial hegemony groups, global diversification strategies and firm value of the Malaysia’s 30 largest companies listed in FTSE Bursa Malaysia Index Series during 2009 to 2012 period. We chose Malaysia as an ideal setting because the findings contribute to the phenomenon of the diversification–performance relationship in the Southeast Asian countries. We apply hegemony stability theory to explain the importance of financial hegemony groups in deciding international locations for operations. By using panel data analysis, we find that financial hegemony groups are significantly important in international location decisions. Results reveal that the stability of financial hegemony in BRICS and G7 groups enhances the financial value of the Malaysia’s 30 largest companies, whereas the stability of financial hegemony in ASEAN groups is able to enhance the non-financial value of the firms. Overall, this paper suggests that in order to diversify globally, it is necessarily for the manager in the guest country to evaluate and fully understand the host country’s geopolitical situation and its financial stability.</p>

Sign in / Sign up

Export Citation Format

Share Document