scholarly journals ANALISIS KAUSALITAS KETIMPANGAN PENDAPATAN, KORUPSI DAN KEMISKINAN DI NEGARA LOWER MIDDLE INCOME ASEAN

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Novilia Hartisa ◽  
Dewi Zaini Putri
Keyword(s):  
Income Inequality ◽  
Causal Relationship ◽  
Processing Method ◽  
Middle Income ◽  
Middle Income Countries ◽  
Causality Relationship ◽  
Vector Auto Regression ◽  
Asean Countries ◽  
Auto Regression

Abstract : This study is to see whether there is a causal relationship betweenincome inequality, corruption and poverty in ASEAN countries. This study uses apanel of data in five lower middle income countries in ASEAN from 2010-2018,using the Vector Auto Regression (PVAR) processing method. From the results ofthe investigation that: (1) There is a causality relationship between incomeinequality and corruption in the five lower middle income countries in ASEAN, (2)There is no causality relationship between income inequality and poverty in thefive lower middle income countries in ASEAN, but only there is a one-wayrelationship of income and corruption in five lower middle income countries inASEAN, (3) There is no causal relationship between corruption and poverty eitherone way or reciprocally in five lower middle income countries in ASEAN.Keyword: Income inequality, corruption and poverty.

scholarly journals ANALISIS KAUSALITAS FERTILITAS DENGAN PERTUMBUHAN EKONOMI DAN KEMISKINAN DI SUMATERA BARAT

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Robby Saputra ◽  
Sri Ulfa Sentosa
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Direct Relationship ◽  
Secondary Data ◽  
Granger Causality Test ◽  
Causality Test ◽  
West Sumatra ◽  
Causality Relationship ◽  
Vector Auto Regression ◽  
Auto Regression

Abstract: This study aims to determine the causal relationship between fertility, economic growth and poverty in West Sumatra. This type of research is descriptive and associative research. The data used are secondary data in the form of panel data from 2010 to 2017. The research methods used are: (1) Vector Auto Regression Analysis, (2) Granger Causality Test. The results showed that (1) There was no causality relationship between fertility and economic growth in West Sumatra, but there was a direct relationship between fertility and economic growth. (2) There is no causality relationship between fertility and poverty in West Sumatra, but there is a direct relationship between poverty and fertility. (3) There is no causal relationship between economic growth and poverty in West Sumatra, but there is a direct relationship between poverty and economic growth.Keywords: Fertility, Economic Growth, Poverty

scholarly journals Spatial Externalities of Income Inequality on Security in Latin America

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 245
Author(s):  
Pablo Ponce ◽  
José Álvarez-García ◽  
Mary Cumbicus ◽  
María de la Cruz del Río-Rama
Keyword(s):  
Income Inequality ◽  
Latin American ◽  
Spatial Dependence ◽  
Generalized Least Squares ◽  
Homicide Rate ◽  
World Health ◽  
Control Variables ◽  
Spatial Error ◽  
Middle Income ◽  
Middle Income Countries

The aim of this research is to analyse the effect of income inequality on the homicide rate. The study is carried out in 18 Latin American countries for the period 2005–2018. The methodology used is the Generalized Least Squares (GLS) model and the data were obtained from World Development Indicators, the World Health Organization and the Inter-American Development Bank. Thus, the dependent variable is the homicide rate and the independent variable is income inequality. In addition, some control variables are included, such as: poverty, urban population rate, unemployment, schooling rate, spending on security and GDP per capita, which improve the consistency of the model. The results obtained through GLS model determine that inequality has a negative and significant effect on the homicide rate for high-income countries (HIC) and lower-middle-income countries (LMIC), whereas it is positive and significant for upper-middle-income countries (UMIC). On the other hand, the control variables show different results by group of countries. In the case of unemployment, it is not significant in any group of countries. Negative spatial dependence was found regarding spatial models such as: the spatial lag (SAR) and spatial error (SEM) method. In the spatial Durbin model (SDM), positive spatial dependence between the variables was corroborated. However, spatial auto-regressive moving average (SARMA) identified no spatial dependence. Under these results it is proposed: to improve productivity, education and improve the efficiency of security-oriented resources.

scholarly journals ANALISIS KAUSALITAS EKSPOR, OUTPUT MANUFAKTUR DAN PERTUMBUHAN EKONOMI DI NEGARA ASEAN

2019 ◽  
Vol 1 (2) ◽  
pp. 645
Author(s):  
Rany Febriyanti Ariska ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Vector Autoregression ◽  
Manufacture Export ◽  
Causality Relationship ◽  
Asean Countries ◽  
Panel Vector Autoregression

This study examines the causal relationship between manufacture export, manufacture ouput and economic growth within a panel vector autoregression (PVAR) for ASEAN countries over the period 2008-2017. The results of this study indicate that the manufacture export and the manufacture output has a one-way causality relationship that is economic growth which affects the manufacture export, the manufacture output has a one-way causality relationship that is economic growth affects the manufacture output, the export and the output manufacture has no causality.

scholarly journals Inequality in physical activity, global trends by income inequality and gender in adults

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Chastin SFM ◽  
J. Van Cauwenberg ◽  
L. Maenhout ◽  
G. Cardon ◽  
E. V. Lambert ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Care ◽  
Income Inequality ◽  
Physical Inactivity ◽  
World Health ◽  
Middle Income ◽  
Physical Activity Guidelines ◽  
Middle Income Countries ◽  
Country Level ◽  
The World

Abstract Background Physical inactivity is a global pandemic associated with a high burden of disease and premature mortality. There is also a trend in growing economic inequalities which impacts population health. There is no global analysis of the relationship between income inequality and population levels of physical inactivity. Methods Two thousand sixteen World Health Organisation’s country level data about compliance with the 2010 global physical activity guidelines were analysed against country level income interquantile ratio data obtained from the World Bank, OECD and World Income Inequality Database. The analysis was stratified by country income (Low, Middle and High) according to the World Bank classification and gender. Multiple regression was used to quantify the association between physical activity and income inequality. Models were adjusted for GDP and percentage of GDP spent on health care for each country and out of pocket health care spent. Results Significantly higher levels of inactivity and a wider gap between the percentage of women and men meeting global physical activity guidelines were found in countries with higher income inequality in high and middle income countries irrespective of a country wealth and spend on health care. For example, in higher income countries, for each point increase in the interquantile ratio data, levels of inactivity in women were 3.73% (CI 0.89 6.57) higher, levels of inactivity in men were 2.04% (CI 0.08 4.15) higher and the gap in inactivity levels between women and men was 1.50% larger (CI 0.16 2.83). Similar relationships were found in middle income countries with lower effect sizes. These relationships were, however, not demonstrated in the low-income countries. Conclusions Economic inequalities, particularly in high- and middle- income countries might contribute to physical inactivity and might be an important factor to consider and address in order to combat the global inactivity pandemic and to achieve the World Health Organisation target for inactivity reduction.

scholarly journals Decomposition of Carbon Dioxide (CO2) Emissions in ASEAN Based on Kaya Identity

2021 ◽  
Vol 4 (2) ◽  
pp. 101-114
Author(s):  
Vivid Amalia Khusna ◽  
Deni Kusumawardani
Keyword(s):  
Co2 Emissions ◽  
Economic Activity ◽  
Energy Intensity ◽  
Carbon Intensity ◽  
Middle Income ◽  
Middle Income Countries ◽  
Brunei Darussalam ◽  
Asean Countries ◽  
Carbon Dioxide Co2 ◽  
Kaya Identity

ASEAN is a region with high carbon dioxide (CO2) emissions, accompanied by an increase in population, gross domestic product (GDP) and energy consumption. Population, GDP, and energy consumption can be linked to CO2 emissions through an identity equation called the Rich Identity. This research is based on Kaya identity to describe CO2 emissions to calculate the impact of population, economic activity, energy intensity and carbon intensity on CO2 emissions in ASEAN and 8 ASEAN countries (i.e., Indonesia, Malaysia, Singapore, Thailand, Philippines, Vietnam, Myanmar and Brunei Darussalam) from 1990 to 2017. The method used is the Logarithmic Mean Division Index (LMDI). The data used are from the International Energy Agency (IEA) and the World Bank. Four effects measured and main findings showed that population, economic activity and carbon intensity factor increased by 293.02 MtCO2, 790.0 MtCO2, and 195.51 MtCO2, respectively. Meanwhile, energy intensity effect made ASEAN's CO2 emissions decrease by 283.13 MtCO2. Regarding contributions to the increase in CO2 emissions in all ASEAN countries, the population effect increases CO2 emissions in all countries in ASEAN and the economic activity effect is also the same, except in Brunei Darussalam which makes CO2 emissions in this country decreased by 1.07 MtCO2. Meanwhile, the effects of energy and carbon intensity are different. The effect of energy intensity causes CO2 emissions in lower-middle income countries to decrease, while in upper-middle and high-income countries, it increases carbon emissions. In contrast to the effect of carbon intensity, that actually makes CO2 emissions increase in lower-middle income countries and reduces carbon emissions in upper-middle and high-income countries.

scholarly journals Sectoral Growth and Income Inequality in ASEAN-5 Countries: Case of Low-Middle Income Economies

2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Dewa Gede Sidan Raeskyesa
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Economic Integration ◽  
Agricultural Sector ◽  
Negative Relationship ◽  
Economic Sectors ◽  
Middle Income ◽  
Sectoral Growth ◽  
Asean Countries ◽  
The Relationship

This paper aims to explore the relationship between growth in economic sectors, especially manufacturing, service, and agriculture, towards income inequality. Furthermore, it utilizes panel data for low-middle income ASEAN countries. The result shows that the share of agricultural sector in GDP has a significant and negative relationship with income inequality. In fact, the effect is robust for the incorporation of control variables. Therefore, it underlines the importance of agricultural sector development for reducing inequality and also for fostering ASEAN economic integration.

scholarly journals An Empirical Examination of the Impact of Economic Structural Change on Income Inequality: Dynamic Heterogeneous Panel Approach

2021 ◽  
Vol 10 (1) ◽  
pp. 136
Author(s):  
Maha Elhini ◽  
Rasha Hammam
Keyword(s):  
Structural Change ◽  
Income Inequality ◽  
Value Added ◽  
Least Squares Regression ◽  
Economic Sectors ◽  
Empirical Examination ◽  
Middle Income ◽  
Middle Income Countries ◽  
Long Run ◽  
The Impact

This paper employs structural growth perspective to the analysis of income inequality in 43 countries over the period 2003-2017.The study utilizes two different panel estimation techniques. First, the panel least squares regression examines the relevance of Kuznets effect of the different economic sectors; agriculture, manufacturing and services on income inequality. Second, the pooled mean group (PMG) estimation of dynamic heterogeneous panels gauges the long run impact of the change in sectoral value added as a proxy for structural change on inequality. PMG presents short run adjustments to be country-specific due to the widely different impacts of macroeconomic conditions and vulnerability of each country to income inequality. Empirical findings show that across all countries, sector growth had no to negligible impact on inequality indicating that no signs are evident of Kuznets effect. However, both inflation and unemployment have mixed impacts on inequality in Lower and Middle-Income countries. Results further reveal that unemployment has a relatively stronger influence on inequality than inflation for Upper-middle income countries, unlike in Lower-middle income countries, where unemployment shows a weaker correlation with inequality than inflation. Results for High-income countries show that the influence between inflation and unemployment are not as big as in Upper middle-income countries.

scholarly journals Innovations in achieving sustainable economic performance under income inequality

2021 ◽  
Vol 5 (2) ◽  
pp. 146-154
Author(s):  
Inna Cabelkova ◽  
Manuela Tvaronaviciene ◽  
Wadim Strielkowski
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Income Inequality ◽  
Economic Performance ◽  
Financial Services ◽  
Developing Economies ◽  
Well Being ◽  
Middle Income ◽  
Middle Income Countries ◽  
The Impact

The negative effect of income inequality on economic growth represents a topic that constitutes a broad topic of research in the standard economic theory. One of the immediate consequences of income inequality is diminished consumption. Many «poor» customers cannot provide sufficient demand for the producers, causing overproduction that might lead to an economic crisis. It constitutes a problem because sustainable economic performance needs to be achieved under the conditions of income inequality. Reducing social and economic inequality in countries is an essential step towards ensuring that no one is left behind. It is also part of the 10th Sustainable Development Goal aimed to reduce it by 2030. Inequality is based on the income distribution between the top 1% and the bottom 99% of households in any given country. The degree of inequality could play a beneficial role if it is driven by market forces and is associated with incentives to increase growth. In developing and emerging countries, greater equality and improvements in living standards are needed to enable populations to flourish. Inequality reduction is one of the most critical steps a government could take to improve the well-being of its population. The income inequality growth increases human capital in poor countries and reduces it in high and middle-income countries. In poorer countries, it increases them, but in higher – and middle-income countries, it reduces them. Income inequality could be reduced by improving human capital and general skill levels, correcting labor-market policies, and making better use of financial services. In turn, sustainable economic growth could reverse the negative effects of inequality, reducing the need for high-wage and higher-earning households. Thus, it provides higher economic growth. This paper discusses three ways to circumvent the impact of decreasing consumption on economic growth adopted in developing economies over the last fifty years, such as increasing exports, providing loans for consumption, and printing new money. The findings showed that none of these methods seem to be sustainable in the long run. Thus novel and innovative mechanisms that would allow our economy to reduce inequality are necessary and need to be put into place.

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