scholarly journals INEQUALITIES IN THE DISTRIBUTION OF INCOME IN THE HOUSEHOLDS OF FARMERS IN POLAND

2019 ◽  
Vol XXI (4) ◽  
pp. 394-402
Author(s):  
Małgorzata Raczkowska ◽  
Kinga Gruziel
Keyword(s):  
Income Inequality ◽  
Gini Coefficient ◽  
Weather Conditions ◽  
Disposable Income ◽  
Farm Households ◽  
Farm Income ◽  
The Gini Coefficient ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Per Capita

The purpose of the study was to identify and assess the level of income inequality in farm households. The research methods applied were literature studies and analysis of statistical data provided by the Central Statistical Office for the period 2012-2017. The subject of the study was the disposable income of a farm household per capita. A research hypothesis was adopted whereby, over the years 2010-2017, a systematic increase in income inequality in farm households took place. It was found that during the analysed years, there was an increase in disposable income per capita in farm households. When assessing the level of income inequality in this group of households, a decrease in income stratification measured by the level of the Gini coefficient, by the Schutz-Pietra measure, was noticed, although these changes were very small. Comparing the level of the Gini coefficient among all groups of households distinguished with regard to the main source of income, it was the group of farms that was characterised by the highest level of income inequality. In addition, income inequalities among farmers were characterised by the highest variation compared to other professional groups. This situation may be caused by the nature of farm income, which is conditioned, among others, by the size and productivity of the farm, its degree of specialisation, as well as weather conditions.

scholarly journals Wybrane koncepcje pomiaru nierówności dochodowych

2021 ◽  
Vol 66 (2) ◽  
pp. 16-32
Author(s):  
Grzegorz Przekota ◽  
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Gini Coefficient ◽  
Disposable Income ◽  
Transfer Principle ◽  
Specific Measurement ◽  
The Gini Coefficient ◽  
Measurement Methodology ◽  
Empirical Material

Determining the level of income inequality requires the adoption of a specific measurement methodology. The aim of the study was to review and discuss the methodologies used to measure income inequality. Four measures are presented, each based on different assumptions. These measures were the Gini coefficient, Theil coefficient, Kukuła coefficient and unevenness coefficient. The first three measures, and in particular the Gini coefficient, are commonly described in the literature, while the unevenness coefficient is the author’s proposal for measuring income inequality. The empirical material for the research consists of data on the distribution of disposable income by decile groups in households in Poland for the years 2005–2017. The most important issue in practice regarding the measurement of income inequality was the transfer principle. Depending on the methodology adopted, the transfer of income is treated differently. The Gini, Theil and Kukula coefficients respond to any change in the income distribution, while the unevenness coefficient only to changes above the average. In a situation where the Gini coefficient (Theil and Kukula) decreases (increases), the level of inequality decreases (increases), but it is not known which transfers led to such a result. The decreasing (growing) unevenness coefficient means that these were transfers from groups with shares in income above (below) the average for groups with shares below (above) the average.

scholarly journals FARMERS’ HOUSEHOLDS ECONOMIC SITUATION IN POLAND IN 2010–2017

2019 ◽  
Vol 18 (3) ◽  
pp. 73-81
Author(s):  
Janina Sawicka ◽  
Agnieszka Biernat-Jarka ◽  
Paulina Trębska
Keyword(s):  
Living Conditions ◽  
Economic Situation ◽  
Disposable Income ◽  
Farm Households ◽  
Total Expenditure ◽  
Financial Situation ◽  
Aggregated Data ◽  
Household Finances ◽  
Central Statistical ◽  
Central Statistical Office

The aim of the research is to assess the financial situation of farm households in Poland in 2010–2017.The analysis of household finances, i.e. the value and structure of income as well as the method of their distribution, was performed. Despite a significant improvement in the living conditions of this group of people, the financial situation of farmers’ families was worse than of those who have other sources of income. Disposable income in households of farmers per person per month in 2017 amounted to PLN 1575.57 and was as much as PLN 420 higher than in the previous year. The ratio of the share of expenditure on food in total expenditure in 2017 was 31%. Aggregated data from studies of household budgets published annually by the Central Statistical Office constituted the basis of the information used as the sources and own surveys carried out in 2017 in 302 farmers households located in the Masovian Voivodeship.

scholarly journals Determinants of the development of the Mazowieckie Province in 2007-2016

2018 ◽  
Vol 4 (2) ◽  
pp. 65-74
Author(s):  
Łukasz Grzęda
Keyword(s):  
Population Growth ◽  
College Graduates ◽  
National Average ◽  
Gdp Per Capita ◽  
Demographic Situation ◽  
Factors Influencing ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Per Capita ◽  
Positive Population

The article presents the results of the analysis of factors influencing the development of the Mazowieckie Province (Masovia) in the years 2007–2016. Data for the study were collected from the Central Statistical Office and Statistical Yearbooks of the Mazowieckie Province. The results indicate that the level of development of Masovia is considerably higher than of other provinces in the country. At the end of the analyzed period, in Masovia the GDP per capita was almost twice as high as the national average. Masovia held the highest share in Poland’s GDP (22%). Important factors positively affecting the development of Masovia are: positive population growth and improving demographic situation, and broad access to telecommunications. Additional factors of the dynamic Masovia’s development are: extensive transportation infrastructure (104.3 km per 100 km2) and high number of students (236.5 thousand) and college graduates (60.8 thousand) who constitute the future substantive resources of the province’s economy.

scholarly journals Financialization and Income Inequality in Selected European Countries, 2004–2013

e-Finanse ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 20-32
Author(s):  
Grzegorz Golebiowski ◽  
Piotr Szczepankowski ◽  
Dorota Wisniewska
Keyword(s):  
Income Inequality ◽  
Eastern Europe ◽  
Gini Coefficient ◽  
Central And Eastern Europe ◽  
Value Added ◽  
European Countries ◽  
Total Employment ◽  
The Gini Coefficient ◽  
Synthetic Indicator ◽  
The Impact

Abstract The article examines the impact of financialization on income inequality between 2004 and 2013, through a panel analysis of seven European countries. Moreover, it attempts to examine differences in the perception of the phenomenon between the selected European countries belonging to the G-7 and countries from Central and Eastern Europe. The results demonstrate the existence of individual effects, which means that the level of inequality under examination is influenced predominantly by country-specific factors. The most significant correlation is noticeable between the level of unemployment and the degree of income inequality. An increase in unemployment is accompanied by a rise in the disproportions in the level of income that individual citizens have at their disposal whereas a decrease in the unemployment level contributes to an improvement of the GINI coefficient. Simultaneously, the results confirm the existence of significant correlations between the level of the GINI coefficient and such financialization indicators as the share of employment in finance in total employment and the contribution of the financial sector to total value added creation. The most prominent dependency was discovered when a constructed synthetic indicator was adopted as an indicator of financialization. At the same time, analysis of the synthetic country financialization indicator points to a conclusion that the level of financialization is higher in European countries belonging to the G-7 (especially Great Britain) than in countries from Central and Eastern Europe.

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

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.

scholarly journals Csokoládéfogyasztás és a magyar Nobel-díjasok

2019 ◽  
Vol 160 (1) ◽  
pp. 26-29
Author(s):  
András Folyovich ◽  
Tamás Jarecsny ◽  
Dorottya Jánoska ◽  
Eszter Dudás ◽  
Katalin Anna Béres-Molnár ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Research And Development ◽  
Gdp Per Capita ◽  
Strong Linear Correlation ◽  
Nobel Laureates ◽  
Development Expenditure ◽  
Central Statistical ◽  
International Data ◽  
Central Statistical Office ◽  
Per Capita

Abstract: Introduction: Certain dietary items contain significant amounts of flavonoids which was shown to improve cognitive function. An earlier investigation demonstrated a strong linear correlation between chocolate consumption and the number of Nobel laureates in a given country. However, Hungary and the Hungarian Nobel laureates were not included in this analysis. Aim: In this publication, we aim to complement these data by analyzing data available for Hungary. Method: The number of Nobel laureates per country and the international data on chocolate consumption were based on the previously published results. The amount of chocolate consumption in Hungary was based on data from the Hungarian Central Statistical Office. GDP per capita and Research and Development Expenditure data for the investigated countries were derived from the World Bank. Results: There are 11 Nobel laureates from Hungary. Based on this, Hungary ranks the 9th amongst the 24 studied countries. However, it only ranks the 19th when it comes to chocolate consumption. Correlations were found between the number of Nobel laureates and GDP per capita (r = 0.734; p = 0.001) as well as Research and Development Expenditure (r = 0.532; p = 0.01) amongst the studied countries. Conclusion: The achievements of Hungarian scholars do not support the earlier notion that there is a link between the number of Nobel laureates (cognitive function) and the chocolate consumption in a given country. Their biographies highlight the importance and more possibilities of research funding in wealthier countries. Orv Hetil. 2019; 160(1): 26–29.

THE GINI COEFFICIENT'S APPLICATION TO GENERAL COMPLEX NETWORKS

2005 ◽  
Vol 08 (01) ◽  
pp. 159-167 ◽  
Author(s):  
HAI-BO HU ◽  
LIN WANG
Keyword(s):  
Income Inequality ◽  
Complex Networks ◽  
Network Structure ◽  
Gini Coefficient ◽  
Scale Free ◽  
The Gini Coefficient ◽  
Scale Free Networks ◽  
General Complex

The Gini coefficient, which was originally used in microeconomics to describe income inequality, is introduced into the research of general complex networks as a metric on the heterogeneity of network structure. Some parameters such as degree exponent and degree-rank exponent were already defined in the case of scale-free networks also as a metric on the heterogeneity. In scale-free networks, the Gini coefficient is proved to be equivalent to the parameters mentioned above, and moreover, a classification of infinite scale-free networks is given according to the value of the Gini coefficient.

scholarly journals Income Inequality and Noncash Food Assistance Program in Central Java Province

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Yusuf Munandar
Keyword(s):  
Income Inequality ◽  
Gini Coefficient ◽  
Rural Areas ◽  
Food Assistance ◽  
Population Increase ◽  
Assistance Program ◽  
Central Java ◽  
The Gini Coefficient ◽  
Central Java Province

One measure of income inequality that is often used is the Gini Coefficient. In Central Java Province, the income inequality in March 2019 was increasing compared to income inequality in September 2018. To reduce this income inequality, the government is focusing on increasing government spending in the field of social assistance, including Non-Cash Food Assistance (Bantuan Pangan Non Tunai/BPNT). Thus, this study aims to calculate and obtain a reduction in the Gini Coefficient as a result of the implementation of the BPNT program in the Central Java Province of Indonesia. This study uses the Counter Factual Analysis (CFA) method and the March 2019 Susenas data. This study concludes that the implementation of the BPNT program in 2019 is quite effective in reducing the level of income inequality in the Central Java Province of Indonesia, which is able to reduce the Gini Coefficient of Central Java Province by -1.20%. The implementation of the BPNT program was able to make the expenditure of the lower class population increase faster than the expenditure of upper and middle class population. The implementation of the BPNT program changes the map of the income inequality level of 35 districts/cities in the Central Java Province of Indonesia but does not change the map of the level of income inequality between urban and rural areas in the Central Java Province of Indonesia. In addition, the implementation of the BPNT program in the Central Java Province of Indonesia has not been able to change the category of income inequality in the Central Java Province of Indonesia, namely that it remains in the moderate category. This study recommends improvements in terms of the target recipients of BPNT, the quality of the human resources of the companions, the time for receiving assistance, the quality of rice, and the readiness of e-warong in 35 districts/cities in the Province of Central Java, Indonesia.

scholarly journals Energy transition and social justice: Do renewable energy levies have an impact on income distribution and energy poverty?

2021 ◽  
Author(s):  
Jan Priesmann ◽  
Saskia Spiegelburg ◽  
Reinhard Madlener ◽  
Aaron Praktiknjo
Keyword(s):  
Social Justice ◽  
Income Inequality ◽  
Low Income ◽  
Gini Coefficient ◽  
Electricity Consumption ◽  
Energy Transition ◽  
Relative Increase ◽  
Energy Poverty ◽  
The Gini Coefficient ◽  
Ex Post

Abstract Energy systems are decidedly the largest emitters of greenhouse gases. Therefore, transitioning them from fossil to renewable systems is a top priority for societies committed to reducing greenhouse gas emissions. However, such transitions involve substantial costs. In many cases, these costs are proportionally passed on to final energy consumers through levies on their electricity consumption. In our paper, we investigate the impacts of renewable support levies on social justice or, more specifically, on income inequality. For our study, we chose Germany where inflation-adjusted electricity prices for private households increased substantially because of such a levy for renewables. We base our analyses on representative household panel data with over 40,000 households from 2003 to 2018. Our results indicate that indiscriminate renewable support levies on electricity consumption increase income inequality and energy poverty. For our case in 2018, renewable support levies alone led to a relative increase of ~0.23% of the Gini coefficient and ~11.31% of the high cost low income (HCLI) energy poverty indicator measuring energy poverty intensity. Based on our findings, we propose a reform of the renewable support levy and analyze three options: (1) the abolition of the levy, (2) levies which are income-progressive proportionally to the income taxes, and (3) a high and flat levy in conjunction with an income-degressive compensation payment. Our ex-post analyses for 2018 indicate that a reformed levy system would have slightly decreased overall income inequality with relative decreases of ~0.23%, ~0.32%, and ~0.59% of the Gini coefficient for options (1), (2), and (3), respectively. But more importantly, such a system would have substantially decreased energy poverty by ~11.31%, ~30.45%, and ~31.45% for the HCLI energy poverty indicator for options (1), (2), and (3), respectively.

Sign in / Sign up

Export Citation Format

Share Document