Measures of Income Distribution and Economic Growth

2012 ◽  
Author(s):  
Mo Pak Hung
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Gross Domestic Product ◽  
Gini Coefficient ◽  
Gdp Growth ◽  
Social Stability ◽  
Data Set ◽  
Inequality Measures ◽  
Negative Effect

In this study, the empirical contents of various income inequality measures are compared under an identical framework with a well-tested data set. Our study suggests that long-term income inequality has a strong negative effect on Gross Domestic Product (GDP) growth under different measurements. Moreover, governments should investigate further into changes in the income size of the middle class as an indicator for potential changes in social stability, investment, and GDP growth, besides focusing on the Gini coefficient, which they predominantly do now.

The Optimum Level of Income Inequality in South Asia: An Econometric Analysis

2021 ◽  
pp. 139156142110390
Author(s):  
Fahmida Khatun ◽  
Syed Yusuf Saadat
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Gross Domestic Product ◽  
South Asia ◽  
Gini Coefficient ◽  
Econometric Analysis ◽  
Domestic Product ◽  
Optimum Level ◽  
Capita Gross Domestic Product ◽  
Per Capita

Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation. JEL: D31, D63, O15, O40

scholarly journals Indicators of the association of Unemployment in Indonesia with the Level of Employment Opportunity, GDP, and SER

2021 ◽  
Vol 1 (5) ◽  
pp. 189-206
Author(s):  
Diesta Pambayun
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
School Enrollment ◽  
Domestic Product ◽  
Series Data ◽  
Employment Opportunities ◽  
Unequal Distribution ◽  
Negative Effect

Population inequality and the unequal distribution of income are indicators of unemployment in Indonesia, while unemployment plays an important role in economic growth. The increase in Gross Domestic Product (GDP) means that the level of public welfare improves in direct proportion to the gross domestic product (GDP) which is used as a measuring tool for economic conditions. School Enrollment Rates (SER) and employment opportunities are also identified as having an effect on economic growth, so it is important to conduct research using the ECM method using time series data for 1990-2019 sourced from the Central Statistics Agency (CSA). Based on the results of data processing, it can be seen that in the short and long term employment opportunities and GDP have a positive effect on unemployment. However, in the long term GDP and SER have no significant negative effect on unemployment.

THE CAUSE OF HIGHER ECONOMIC GROWTH: ASSESSING THE LONG-TERM AND SHORT-TERM RELATIONSHIPS BETWEEN ECONOMIC GROWTH AND GOVERNMENT EXPENDITURE

2014 ◽  
Vol 20 (1) ◽  
pp. 229-250 ◽  
Author(s):  
Motasam Tatahi ◽  
Emre Ipekci Cetin ◽  
M. Koray Cetin
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Growth Rates ◽  
Government Expenditure ◽  
Government Expenditures ◽  
Gdp Growth ◽  
Short Term ◽  
Data Set ◽  
Dynamic Relationship

This study examines the cause of higher (5% or more) economic growth rates in countries around the world over the past 35 years. It explores the long- and short-term relationships between GDP and government expenditures in these countries. A panel data set of 60 countries over the period from 1976 to 2010 is deployed to implement pooled mean group estimation. Countries are divided into three economic growth rate groups: high, middle, and low. Panel-based/error correction models are used to estimate long-term equilibrium relationships and short-term dynamics between government expenditures and GDP growth rates. Results indicate that the hypothesis of a common long-term elasticity and a short-term dynamic relationship between GDP growth rates and government expenditures cannot be rejected for high group countries, whereas for middle group countries this is true only for the long term, not for the short term. No long-term or short-term relationship between these two variables exists for low-growth-rate countries.

The impacts of income inequality on the gross domestic product under direct taxation: evidence from emerging market economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Eren Yıldırım ◽  
Mete Dibo
Keyword(s):  
Economic Growth ◽  
Fiscal Policy ◽  
Income Inequality ◽  
Gross Domestic Product ◽  
Emerging Market ◽  
Domestic Product ◽  
Emerging Market Economies ◽  
Content Type ◽  
Market Economies ◽  
Direct Taxation

PurposeThis study analyzes the impacts of income inequality after direct taxation on the gross domestic product as a fiscal policy tool in the development process.Design/methodology/approachThe model of the study is based on Munielo-Gallo and Roca-Sagales (2013), which examined the fiscal policy, income inequality and economic growth simultaneously. The study uses two models to analyze the relationship between income inequality and gross domestic production under direct taxation by employing autoregressive distributed lag (ARDL) model for selected emerging market economies.FindingEmpirical results reveal a negative long-run relationship between variables in some countries in line with the literature, despite a positive relationship in others. Moreover, the results exhibit the negative impact of income inequality after direct taxation on the gross domestic product decreases.Originality/valueResults of the study highlight the importance of direct taxation on income inequality concerning the reflects on economic growth. It suggests that when the income distribution is fairer, it may positively affect the gross domestic product. The study provides a new perspective to the related literature by investigating the role of income inequality under direct taxation for gross domestic product.

scholarly journals Perbankan Syariah dan Pertumbuhan Ekonomi Indonesia: Bagaimana Kontribusinya?

Al-Muzara ah ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 129-140
Author(s):  
Emy Widyastuti ◽  
Yusvita Nena Arinta
Keyword(s):  
Economic Growth ◽  
Market Share ◽  
Secondary Data ◽  
Islamic Banking ◽  
Investment Financing ◽  
Banking Business ◽  
Negative Effect ◽  
Capital Financing ◽  
Variable Consumption

Islamic banking takes part in the Indonesian economic and financial system which contributes to the dynamics of eeconomic growth. The number of Islamic banks in Indonesia, through its market share, is still quite small, namely 5.95% in 2019 of the total national banking market share. One of the main activities of Islamic banking is channeling financing through financing based on the type of use and business category. This study aims to determine the short-term and long-term contribution of Islamic banking to Indonesia's economic growth using the Vector Error Correction Model (VECM) method. The data used in this study are quarterly secondary data of real Gross Domestic Product (GDP) and financing based on the use and category of Indonesian Islamic banking business types, which consist of working capital financing, investment financing and consumption financing. The results showed that in the short and long term, the variable consumption financing had a significant negative effect on Indonesia's economic growth.

scholarly journals FEATURES OF DEVELOPMENT OF TOURISM IN GEORGIA AS AN INDUSTRY CONTRIBUTING TO ECONOMIC GROWTH OF THE COUNTRY

2019 ◽  
Vol 29 (2) ◽  
pp. 279-289
Author(s):  
L.V. Detochenko
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Tourism Industry ◽  
Gdp Per Capita ◽  
Tourist Destinations ◽  
Transport Component ◽  
Tourist Flows ◽  
Per Capita ◽  
The Republic

The role and place of the tourism industry in the economic complex of Georgia are considered; the conclusion is made about the “tourist miracle” taking place in the country, which is a factor of the economic growth of the republic. The differences between the concepts of “foreign visitors” and “foreign tourists” are presented. The increase in the contribution of the tourism industry and related industries involved in the tourism industry in the creation of the gross domestic product of the country, its impact on the growth of the Georgian budget and GDP per capita, the average monthly wage is shown. The conclusion about the need to increase the share of medium and long-term tourists among foreign visitors and tourists in the country is justified. The problems of the return of tourists, the long-term stay in Georgia, the differences of the countries-generators of tourist flows by these indicators have been studied. The changes in work and the prospects of various types of transport for the delivery of tourists to Georgia are analyzed, the measures to improve the tourist transport component are proposed. The correlation between the number of tourist arrivals and the average cost of tourists visiting Georgia from different countries is shown and the economic profitability of attracting Russian tourists, capable of filling all the tourist destinations of the country, contributing to the “tourist miracle” of Georgia is considered.

scholarly journals PERTUMBUHAN EKONOMI, KETIMPANGAN PEDAPATAN DAN DESENTRALISASI DI INDONESIA

KINERJA ◽  
2016 ◽  
Vol 20 (1) ◽  
pp. 53
Author(s):  
Lestari Agusalim
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Linear Regression ◽  
Income Distribution ◽  
Gross Domestic Product ◽  
Gini Index ◽  
National Income ◽  
Secondary Data ◽  
Independent Variables ◽  
Regression Approach

AbstrakPenelitian ini bertujuan untuk mengkaji pengaruh desentralisasi dalam mendistribusikan pendapatan nasional untuk mengurangi ketimpangan pendapatan di Indonesia. Data yang digunakan adalah data sekunder, yaitu PDB sebagai representasi pendapatan nasional dan data indeks gini sebagai representasi tingkat ketimpangan pendapatan dengan rentang waktu 1978-2015. Metode analisis menggunakan regresi linear dengan pendekatan OLS dimana Indeks gini digunakan sebagai variabel dependen, dan PDB sebagai variabel independen. Selain itu, terdapat variabel independen lainnya, yaitu variabel dummy desentralisasi yang berguna untuk mengetahui pengaruh desentralisasi terhadap ketimpangan pendapatan. Hasil analisis menunjukkan bahwa dari aspek ekonomi, desentralisasi belum mampu mendistribusikan pertumbuhan ekonomi untuk memperkecil ketimpangan pendapatan masyarakat.Kata Kunci: Pertumbuhan Ekonomi, Ketimpangan Pendapatan, DesentralisasiAbstractThis research aims to analyze the effect of decentralization on national income distribution and the reduce of income Inequality in Indonesia. This research used secondary data with gross domestic product (GDP) representing national income and gini index data representing income inequality from 1978 to 2015. An OLS Linear Regression approach was employed where the gini index was the dependent variable, and the independent variables were GDP and the Dummy for decentralization implementation. The result revealed that decentralization had not been able to distribute economic growth to minimize income Inequality.Keywords: Economic Growth, Income Inequality, Decentralization

The Problem of Income Inequality

2019 ◽  
pp. 42-44
Author(s):  
Andrew Smithers
Keyword(s):  
Income Inequality ◽  
Gini Coefficient ◽  
Living Standards ◽  
Living Standard ◽  
The Gini Coefficient ◽  
The Us ◽  
The Uk ◽  
Distribution Of Income

Living standards change in line with GDP per head only if the distribution of incomes is unchanged. If incomes become less equally distributed the living standards of most people will fall even if GDP per head is stable. The Gini Coefficient is the most widely used indicator designed to measure the distribution of income. UK inequality, on this measure, has risen since 1977, stabilized since 1987, and fallen in recent years. In the US there has been a long-term increase in income inequality. Unless this US trend for increased income inequality halts, it is quite likely that even if GDP per head rises in the US, the living standard of the average voter will fall. The recent data suggest that changes in income inequality pose less of a threat to living standards in the UK then they do to those in the US.

A Comparison of the Economic Growth of the Baltic States between the Two World Wars

2016 ◽  
Vol 12 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Zenonas Norkus
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Growth Rates ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Economic Output ◽  
Measurement Units ◽  
Per Capita ◽  
Cross Country ◽  
The Baltic

AbstractThis paper contributes to cliometric research on the economic output of Finland, Estonia, Lithuania and Latvia between 1913 and 1938. For Finland, gross domestic product (GDP) values from Maddison project dataset are accepted. For Estonia, Arno Köörna’s and Jaak Valge’s estimates are endorsed with reservations for 1923–1924. According to an optimistic estimate, Lithuania’s GDP per capita was below all-Russian mean in 1913, but was not less than USSR level in 1938, while Gediminas Vaskela’s pessimistic estimate of the 1938 Lithuanian GDP implies its GDP growth underperformance. Using new sources, the first estimates of Latvia’s output for the 1913–1938 period in cross-country and cross-temporally comparable measurement units (1990 Geary Khamis international $) are substantiated. Under optimistic estimates of Lithuanian GDP growth, this country was on par with Finland in terms of annual growth rates, with Latvia following next and Estonia displaying the weakest growth performance.

scholarly journals Income Inequality: Do Different Inequality Measures Show Different Impacts on Economic Growth, at the State Level? An Analysis of the State of New Jersey

2016 ◽  
Vol 5 (12) ◽  
pp. 40
Author(s):  
Bertram Chukwudum Ifeanyi Okpokwasili
Keyword(s):  
Economic Growth ◽  
New Jersey ◽  
Income Inequality ◽  
Income Distribution ◽  
State Level ◽  
The State ◽  
Inequality Measure ◽  
Inequality Measures ◽  
Real Gdp ◽  
Different Levels

<p>This paper investigates whether the use of different inequality measures is instrumental in determining impact on economic growth at the State level. We find that different measures show different levels of significance with respect to economic health. We study New Jersey income distribution and shares from 1964 to 2014, using graphs and statistics. The dual analyses approach and the use of different inequality measures enabled conclusions to be reached, that only one view and one inequality measure would have made difficult, if not misleading. New Jersey Real GDP/Capita (RGC) was going up, whether or not the inequality measure was getting better. Inequality had little or no effect on the direction of the RGC. Economic Growth is not a good measure of the effects of inequality.</p>

Sign in / Sign up

Export Citation Format

Share Document