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 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.

scholarly journals Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

2018 ◽  
Vol 10 (7) ◽  
pp. 2458 ◽  
Author(s):  
Weidong Li ◽  
Xin Qi ◽  
Xiaojun Zhao
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Population Aging ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Modern Society ◽  
Eastern Region ◽  
Low Carbon ◽  
Stirpat Model ◽  
The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

scholarly journals Primary commodity export and economic growth in sub sahara africa: evidence from panel data analysis

2011 ◽  
Vol 11 (4) ◽  
pp. 465-474 ◽  
Author(s):  
Matthew Ocran ◽  
Nicholas Biekpe
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Policy Implications ◽  
Sub Saharan Africa ◽  
Primary Commodity ◽  
Commodity Export ◽  
The Impact

The paper sought to examine the impact of instability in primary commodity export earnings and the level of commodity dependence on economic growth in Sub Saharan Africa (SSA).  Fixed effects panel data estimator was used in the empirical estimation. The findings of the study suggest that there is a negative relationship between instability in export earnings and economic growth. The results also indicate that the level of commodity dependence matter in determining economic growth in the region. The results of the paper have economic development policy implications for SSA economies and these are not farfetched. First, it appears the difficult growth experience of SSA is not solely due to instability in export receipts. The question of continued dependence on a narrow range of primary commodities is also matter of great importance.

scholarly journals Assessing the Impact of ICT Sector on Sustainable Development in the European Union: An Empirical Analysis Using Panel Data

2020 ◽  
Vol 12 (2) ◽  
pp. 592
Author(s):  
Sorin-Iulian Cioacă ◽  
Silvia-Elena Cristache ◽  
Mariana Vuță ◽  
Erika Marin ◽  
Mihai Vuță
Keyword(s):  
European Union ◽  
Sustainable Development ◽  
Panel Data ◽  
Income Inequality ◽  
Information And Communication Technologies ◽  
Negative Relationship ◽  
The European Union ◽  
Digital Society ◽  
Development Goals ◽  
The Impact

Information and communication technologies (ICT) play a central role at the European level because it fosters innovation and increases productivity through an enlarged access to information. As such, the main objective of this work was to assess the impact of various ICT core indicators at the European Union level on two of their sustainable development goals: economic growth and reduction of inequality. To this purpose, we used panel data models based on data collected from the Eurostat database. We proposed two panel data regression models, according to which we found a positive statistically significant relationship between the variable measuring level of internet access and change in GDP per capita. We also found a negative relationship between the transition towards a digital society and the dependent variable INEQ_INC, namely an increase of 1% of ICT sector share in GDP will lead to a decrease of 0.27% of income inequality distribution. This result showed that the progress made in implementing a digital society may decrease societal income inequality.

Financial Deepening and Corruption in Selected Southeast Asian Countries

2016 ◽  
Vol 15 (1) ◽  
pp. 62-85
Author(s):  
Piyadasa Edirisuriya
Keyword(s):  
Financial Market ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Southeast Asian ◽  
Financial Deepening ◽  
Asian Countries ◽  
Financial Deregulation ◽  
The Impact ◽  
Southeast Asian Countries

Since the 1980s, Southeast Asian countries have deregulated their financial market sector. Numerous studies on financial market deregulation and corruption levels have argued about positive and negative links between corruption and financial deregulation in many countries. These conflicting results have motivated us to examine the impact of financial market deregulation, which leads to financial deepening, on corruption in Southeast Asian countries. We employ panel data analysis to explore whether financial deepening has a positive impact on corruption levels. Using data for 17 years, we empirically tested the relationship between financial deepening and corruption levels and found a significantly negative relationship between these two factors. When comparing our results with the South Asian region where the level of corruption is higher, we do not find any significant differences.

scholarly journals Do Institutional Variables affect FDI inflows? A Panel Data Analysis of South Asian Countries

2018 ◽  
Vol 4 (02) ◽  
Author(s):  
Vandana Goswami
Keyword(s):  
Panel Data ◽  
South Asian ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Asian Countries ◽  
Institutional Variables ◽  
Fdi Inflows ◽  
Regulatory Quality ◽  
The Impact ◽  
Control Of Corruption

The study addresses several questions related to the effect of institutional variables on foreign direct investment inflows in South Asian countries consisting of Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. The institutional variables taken in the study include control of corruption, political instability, quality of governance, regulatory quality, and rule of law. The paper uses panel data for the period of 1990-2015. The objective of this paper is to study the impact of institutional determinants on FDI inflows in eight South Asian countries. The main findings of the paper indicate that government effectiveness and trade openness are having a positive impact on FDI inflows while control of corruption and regulatory quality have negatively affected FDI inflows in these eight South Asian Countries.

scholarly journals Circular Economy Innovation and Environmental Sustainability Impact on Economic Growth: An Integrated Model for Sustainable Development

2020 ◽  
Vol 12 (12) ◽  
pp. 4831 ◽  
Author(s):  
Eglantina Hysa ◽  
Alba Kruja ◽  
Naqeeb Ur Rehman ◽  
Rafael Laurenti
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Panel Data ◽  
Circular Economy ◽  
Panel Data Analysis ◽  
Estimation Method ◽  
Private Investment ◽  
Dynamic Panel Data ◽  
Essential Components ◽  
The Impact

This study examines the link between selected indicators of a circular economy, including essential components of environmental and economic growth. Developed economies are continuously innovating to promote growth and giving governmental support to the producers to move from linear economies to circular ones. Hence, waste materials in industrial systems are recycled or re-used, improving the efficiency of using finite resources with the no-waste approach. The aim of this paper is the following: (1) to identify the main components of a circular economy, which are also supportive of sustainability and development; (2) to check the impact of these variables in the economic growth of European Union countries; (3) to find out if the three components of sustainable development adopted to circular economy (CE) indicators (environmental–social–economic) are significant to economic growth. We used a fixed effect panel data analysis to identify the circular economy’s impact on the economic growth of European countries. Additionally, to support the results of the regression analysis, we employed a second method—generalized methods of moments—computing the Arellano–Bond dynamic panel data estimation method. The model included five independent variables, such as environmental tax rate, a recycling rate of waste, private investment and jobs in a circular economy, patents related to recycling, and trade of recyclable raw materials. The identification of each variable was made based on a deep search through literature. The results of both econometric models showed a strong and positive correlation between a circular economy to economic growth, highlighting the crucial role of sustainability, innovation, and investment in no-waste initiatives to promote wealth.

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