scholarly journals The Relationship between Economic Growth and Income Distribution: The Case of Transition Economies

2011 ◽  
Author(s):  
Dilek Özdemir ◽  
Ömer Selçuk Emsen ◽  
Ayşen Hiç Gencer ◽  
Cemil Hakan Kılıç
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Transition Economies ◽  
Capita Income ◽  
Panel Data Analysis ◽  
Kuznets Curve ◽  
Per Capita Income ◽  
Developed Country ◽  
Per Capita ◽  
The Relationship

In the literature on economic growth, Kuznets curve shows the relationship between growth and income distribution. According to the Kuznets curve, as per capita income rises, income distribution would first become more unequal, and then less unequal. This means that, in a less developed country poverty is shared; in a developing country the difference between the rich and the poor becomes wider; and in a developed country richness is shared. In economies in transition, from socialism to market economy, however, income distribution should be less unequal because of the socialist system. But during the transition, there occurred recessions that led to falls in income. Therefore, during the transition process, as income decreased, income distribution became more unequal. In this study, the relationship between per capita income and income distribution on the transition economies are investigated by means of panel data analysis. The results obtained are then compared with the Kuznets curve.

scholarly journals The Relationships between Economic and Political Liberalization and the Kuznets Curve

2017 ◽  
Author(s):  
Murat Nişancı ◽  
Ahmet Fatih Aydemir ◽  
Bengü Tosun ◽  
Ömer Selçuk Emsen
Keyword(s):  
Income Distribution ◽  
Capita Income ◽  
Civil Liberties ◽  
National Development ◽  
Kuznets Curve ◽  
Political Rights ◽  
Per Capita Income ◽  
Political Liberalization ◽  
Per Capita ◽  
The Relationship

Per capita income and income distribution are defined as classical Kuznets curve. From this view, the relationship between per capita income and income distribution is controlled variables and studies that take environmental pollution, financial depth, or trade volume into account are widely seen in the literature according to the study objectives. Respectively, these applications can be named first as environmental Kuznets and secondly as financial Kuznets. As parallel to this view, the studies that emphasize the relationship between export and income distribution are common in the literature, representing economic liberalization. It is also worth noting that political liberalization whether political rights or civil liberties, supports the trend that emerges like the Kuznets’ curve, according to the level of development of the countries. In this study, when the level of national development is taken into consideration, the relationships between per capita income and economic and political liberalization practices have been tested with econometric tests, whether they follow a classical, environmental, commercial or financial Kuznets-like situation. In addition to the classical, environmental, commercial and financial Kuznets, the existence of the “political liberalization practices” will be discussed in the literature in order to overlap the theoretical expectations and the results of this study. In the analysis of the 2012 horizontal cross-section of the country group with the highest Gini coefficient, Kuznets' “inverse U” view is reflected in both commercial and political liberalization dimensions.

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN PROVINSI BALI

2020 ◽  
Vol 3 (2) ◽  
pp. 335-344
Author(s):  
Rendi Kurniawan ◽  
Syamsul Huda
Keyword(s):  
Income Distribution ◽  
Calculation Result ◽  
Capita Income ◽  
Secondary Data ◽  
Strong Relationship ◽  
Kuznets Curve ◽  
Per Capita ◽  
Typology Analysis ◽  
The Relationship ◽  
Index Calculation

This study aims to determine the Regency / City Classification in Bali Province based on the Klassen Typology, the condition of income distribution inequality between districts / cities, the relationship between income distribution inequality with per capita income, and whether the relationship forms the U-Reverse Kuznets Curve. This research is an analysis of secondary data obtained from BPS Bali Province. The analytical model used is Klassen Typology analysis, Williamson Index, Product Moment Correlation (Pearson). Klassen's Typology Results, Badung Regency and Denpasar City are included in Quadrant I area, Gianyar Regency is included in Quadrant III area, and the remaining 6 Regencies are included in Quadrant IV area. Furthermore, the Williamson Index Calculation in the Year of Observation shows that there is an imbalance in the Province of Bali which shows a downward trend. While the calculation result of Product Moment Correlation (Pearson) shows a very strong relationship between the Williamson Index and the Per capita GRDP and is negative, but the relationship does not form the Kuznets Curve to be a U-Reverse letter.

scholarly journals ASSESSING THE IMPACT OF ECONOMIC GROWTH ON INEQUALITY IN INDIA

2020 ◽  
pp. 5-8
Author(s):  
Furqan Ali ◽  
Mohammad Asif
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Capita Income ◽  
Political Stability ◽  
The State ◽  
Per Capita Income ◽  
Short Period ◽  
The World ◽  
Per Capita ◽  
The Impact

The rate of economic growth in India fluctuates with the world economic scenario. The developed countries being economically stable and highly advanced by technology, like U.S.A, France, Germany, Japan, and China faced the problem of economic crises. At the same time, the world comes to fluctuate their efficiency and empowerment to the leadership engagement in stabilizing the economy. In this paper, data taken from the Indian States as per capita income at the state level and compare it with all India average data. The Net State Domestic Product Per Capita Income (NSDPPCI), had taken on a current price for the short period 2011-2012 to 2016-2017. This paper compared the regional variation in state performance and compared the most riches states to inferior ones. The factors which affect economic performance are like stabilize the political stability in the state. We also focus comparison on the different political party announcements of the welfare scheme for the farmers and other poor people living in these states. Another factor like the level of education at states and center level, total population, and its growth rate, the public expenditure on the health sector. We measure income inequality, income distribution with the economic growth of India. KEYWORDS: Economic Growth; Inequality; Income Distribution; Political Stability.

Economic growth and energy consumption nexus in Pakistan

2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Policy Implications ◽  
Per Capita Income ◽  
Content Type ◽  
Per Capita ◽  
The Relationship

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.

scholarly journals Drivers of Protein Consumption: A Cross-Country Analysis

2021 ◽  
Vol 13 (13) ◽  
pp. 7399
Author(s):  
Vania Andreoli ◽  
Marco Bagliani ◽  
Alessandro Corsi ◽  
Vito Frontuto
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Animal Protein ◽  
Per Capita Income ◽  
Protein Consumption ◽  
Country Analysis ◽  
Per Capita ◽  
Cross Country ◽  
High Level ◽  
The Relationship

Consumption and production of proteins derived from animals have more significant environmental and health impacts than proteins derived from plants. This raises concerns mainly in consideration of the predictable increased consumption of animal proteins at the expense of vegetal ones due to growing income, especially in developing countries. Animal protein consumption, and particularly meat consumption, seems to start to decrease at a high level of income, which may suggest that economic growth solves or attenuates the environmental and health problems of animal food consumption. To test this possibility, the relationship between per capita income and animal and vegetal protein consumption is explored. Using a cross-country regression for 142 countries in 2017, animal-based protein, meat protein, and vegetal-based protein consumption are specified as dependent variables. In addition to per capita income, other potential drivers of protein choices, including ecological, demographic and social factors are controlled for. Apart from income, which still seems to be the most important driver of any type of protein consumption, the results suggest that protein consumption from animal sources and meat sources have different determinants. Though there is actually some evidence of an inverted U-shaped relationship between per capita income and animal protein consumption, the peak is at such high levels as to make economic growth irrelevant to curb animal protein consumption.

scholarly journals Decentralization and Its Impact on Growth in India

2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Fixed Effects ◽  
Capital Expenditure ◽  
Per Capita Income ◽  
Reverse Causality ◽  
Social Expenditure ◽  
Causality Test ◽  
Per Capita ◽  
National Growth

We study the effect of revenue decentralization (RD) and expenditure decentralization (ED) on sub-national growth in India from 1981–1982 to 2015–2016 for 14 large (non-special-category) states. Our study provides evidence that both RD and ED play a defining role in India’s sub-national growth in this three-and-a-half-decade period. We use a panel data model with fixed effects (FE) and Driscoll and Kraay standard errors that control for heteroscedasticity, autocorrelation and cross-sectional dependence. To test for causality between growth and decentralization, we use the Granger non-causality test. The regression analysis is supplemented with the distribution dynamics approach. We find that: (a) While decentralization Granger-caused economic growth, the reverse causality effect of growth on decentralization was not significant; (b) Economic growth increased significantly after liberalization; (c) Decentralization, capital expenditure and social expenditure had significant positive impacts on economic growth; and (d) States that had high levels of decentralization also had high levels of per capita income, while states that had low decentralization also exhibited low per capita income.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

The Relationship Among Military Expenditure, High Technological Product Exports, and Economic Growth

2021 ◽  
pp. 624-645
Author(s):  
Sevgi Sezer
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Military Expenditure ◽  
Gdp Per Capita ◽  
High Tech ◽  
Industrialized Countries ◽  
G7 Countries ◽  
Causality Relationship ◽  
Per Capita ◽  
The Relationship

In this chapter, the effects of military expenditure (MEXP) on high-tech exports (HTX) and GDP per capita (GDPPC) of G7 and new industrialized countries (NIC) are analyzed for period 1988-2015 by panel data analysis. The causality relationships between the series are examined by Dumitrescu and Hurlin test. In G7 countries, one-way causality relationship from HTX to MEXP and two-way causality relationship between MEXP and GDPPC have been identified. Also, in NIC countries, two-way causality relationship between HTX and MEXP and one-way causality relationship from GDPPC to MEXP have been determined. Cointegration relations are tested by Pedroni test and the series are found to be cointegrated. It is seen that in the G7 countries, 1% increase in MEXP during the period of 1988-2015 increased HTX by 0.71% and GDPPC by 0.98%. In NIC countries, the 1% increase in MEXP increased HTX by 1.7% and GDPPC by 0.96%. The effect of MEXP on HTX is found much higher in NIC countries.

Sign in / Sign up

Export Citation Format

Share Document