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EN
Following article presents basic points contained in the book "The Spirit Level" byRichard Wilkinson and Kate Pickett. Author reconstructs the author’s theory about the social consequences of income inequality and shows its main disadvantages. Empirical part of the article presents the results of the analysis conducted on the sample of 64 Polish municipalities. For each of them the main indicators of the level of income inequality, population’s health, the level of social capital and sense of security were computed. The results of the analysis indicated no statistically significant correlation between the level of income inequality and analyzed indicators
EN
Inequality of income is one of the significant factors forming social capital. Two views dominate among economists dealing with the influence of income inequality on economic growth. On the one hand, a too low level of income inequality does not motivate people to increase their labour productivity. Low inequality of income might result from an extended social care system and a GDP burdened with social transfers. A good example may be a situation when an unemployed person refuses to accept a job offer and prefers unemployment benefits to a slightly higher salary. Moreover, a lack of incentives for an employee who fails to acknowledge the economic sense of increasing the productivity of his or her work might lead to a slower growth of the economy. On the other hand, a contrary view suggests that an increase in inequality of income has a negative impact on the economy. The accumulation of wealth by a small number of citizens raises doubts about the good use of that wealth for the investments necessary for the growth of the economy. Excessive inequality of income is confronted with the disapproval of a significant part of society and is regarded as unfair and unjustified. It may also increase the crime rate, decrease trust and, more generally, lead to the weakening of social capital. The arguments presented above lead to the hypothesis that the influence of income inequality on the growth of the economy has a non-linear, parabolic character. We have confirmed this hypothesis in growth models of the US and Swedish economies. We assess the historically optimal inequality of income measured by the Gini coefficient at 46% and 24% for the US and Sweden, respectively. The optimal inequality of income for Poland was assessed previously at 29%. The dissimilarities may result from differences in culture, society, educational level and diligence.
XX
The paper presents results of a descriptive analysis of income distributions as well as top income inequality among women and men in Poland. The analysis is based on the dataset provided by the Council for Social Monitoring (2019). Throughout 2003–2015 their panel survey included, for example, a question on individual net monthly income in the past three months. In order to reduce differences associated with the age of entering and exiting the labour market on declared income levels (especially pensions), the calculations include only women and men aged 25–60 years. The analysis of income distributions of women and men in Poland is based on standard measures such as mean income, median income and related measures, as well as the Gini coefficient, Theil index and entropy index. It is supplemented by kernel density estimates and results of simultaneous quantile regressions that demonstrate differences between women and men across income groups. The analysis of top income inequality includes comparisons of subsamples consisting of top 3% earners in each group. The share of women in the top percentiles is then calculated and discussed. The analysis shows different dynamics related to the incomes of women and men, which provides support for including business cycle considerations in the analysis of income inequalities and their gender aspects.
PL
W artykule przedstawiono wyniki analizy opisowej rozkładów dochodów kobiet i mężczyzn w Polsce ze szczególnym uwzględnieniem nierówności w grupie osób o najwyższych dochodach. Analizę oparto o bazę danych opracowaną przez Radę Monitoringu Społecznego (w ramach projektu Diagnoza Społeczna). W latach 2003–2015 jedno z pytań zadawanych respondentom dotyczyło indywidualnego miesięcznego dochodu netto z ostatnich trzech miesięcy. W celu zmniejszenia wpływu różnic związanych z momentem wchodzenia na rynek pracy i przechodzenia na emeryturę analizę ograniczono do osób w wieku 25–60 lat. W analizie rozkładów dochodów kobiet i mężczyzn w Polsce wykorzystano m.in. standardowe miary, takie jak średni dochód lub mediana dochodu oraz wskaźniki oparte na tych miarach, jak również współczynniki Giniego, Theila oraz entropii. Poza tym wykorzystano jądrowe estymatory gęstości i przedstawiono wyniki estymacji regresji kwantylowej pokazującej różnice dochodowe między kobietami i mężczyznami w różnych grupach dochodowych. Następnie dokonano porównania między podpróbami kobiet i mężczyzn uzyskujących najwyższe dochody (przyjęto próg 3% dla każdej płci). Przedstawiono również udział kobiet w grupie osób o najwyższych dochodach. Przeprowadzona analiza ujawniła m.in. zróżnicowanie dynamiki dochodów kobiet i mężczyzn, co stanowi argument za uwzględnieniem w analizie nierówności dochodowych także czynników cyklicznych, które mogą odmiennie oddziaływać na obie płci.
EN
The relationship between the public health status and income inequality has been taken into consideration in the last two decades. One of the important questions in this regard is that whether the changes in income inequality will lead to changes in health indicators or not. To answer this question, life expectancy is used as a health indicator and the Gini coefficient is used as an income inequality indicator. In this study, the relationship between income inequality and the public health has been investigated by panel data in Eviews software during 2000–2011 in 65 low-and middle-income countries. By using panel data and considering fixed effects and heterogeneity of sections, the relationship between income inequality and public health status is a significant negative relationship.
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EN
Personal income differentiation (inequality) is widely observed. Various historical and cultural factors are responsible for this phenomenon. In the longer run, these factors lead to a log-normal distribution of income with country-specific parameters. Ethical aspects of income differentiation are discussed in this paper. The starting point for the discussion is a diagnosis of income differentiation in Poland and European Union countries based on statistical data. Another discussed issue is ethical dilemmas resulting from income inequalities. Special attention is paid to the relationship between income differentiation and economic growth. The ethical aspects of the ratio between lower and upper income in corporations are also discussed. The conclusion is that income differentiation and its change may influence economic growth in different ways. Extremely high income differentiation may lead to negative effects and is ethically doubtful.
EN
This paper explores the effects of housing prices on income inequality in urban China. The authors use China's interprovincial panel data for the period between 1999 and 2011 and find that there is a significant positive association between housing prices and the Gini coefficient of the income of urban residents, and that there are remarkable regional disparities.
EN
Research background: In applied welfare economics, the constant relative inequality aversion function is routinely used as the model of a social decisionmaker?s or a society?s preferences over income distributions. This function is entirely determined by the parameter, ?, of inequality aversion. However, there is no authoritative answer to the question of what the range of ? an analyst should select for empirical work. Purpose of the article: The aim of this paper is elaborating the method of deriving ? from a parametric distribution of disposable incomes. Methods: We assume that households? disposable incomes obey the generalised beta distribution of the second kind GB2(a,b,p,q). We have proved that, under this assumption, the social welfare function exists if and only if ? belongs to (0,ap+1) interval. The midpoint ?mid of this interval specifies the inequality aversion of the median social-decisionmaker. Findings & Value added: The maximum likelihood estimator of ?mid has been developed. Inequality aversion for Poland 1998?2015 has been estimated. If inequality is calculated on the basis of disposable incomes, the standard inequality?development relationship might be complemented by inequality aversion. The ?augmented? inequality?development relationship reveals new phenomena; for instance, the stage of economic development might matter when assessing the impact of inequality aversion on income inequality.
EN
Purpose: The theory of endogenous growth suggests a number of relations between income inequality and human capital. However, empirical evidence in this field is scarce. Therefore, in this paper we aim to demonstrate the existence of interdependencies between income inequality and human capital across OECD countries.Methodology: We present findings of the endogenous growth theory on the mechanisms linking inequality with human capital. Subsequently, we attempt to verify these links empirically using the regression function estimated by means of the generalized method of moments (GMM). The empirical analysis is based on panel data from 1995–2010.Findings: The results of the study reveal the existence of a negative relationship between income inequality and health indicators (infant mortality and maternal mortality). However, we did not reach an authoritative conclusion about the relationship between income inequality and quantitative indicators of educational achievement.Research limitations: Research is limited to the sample of OECD countries. Interdependencies between income inequality and human capital could be captured more clearly using a broader sample.Originality: This paper presents one of few studies testing the relation between human capital and income inequality. The use of high-quality empirical data on inequality (SWIID data) and the generalized method of moments made it possible to contribute new arguments to the discussion of empirical analyses of these economic categories.
EN
Inequality of incomes is one of the significant factors forming the social capital. Two views dominate among economists dealing with the influence of inequality of income on economic growth. On the one hand, a too low inequality of income does not motivate people to increase the labour productivity. A low inequality of income might result from an extended social care system and overloading GDP with social transfers. A good example of it may be a situation when the unemployed refuses to accept a job offer and prefers the unemployment benefit rather to a slightly higher salary. Moreover, a lack of incentives for the employee who fails to acknowledge the economic sense of increasing the productivity of his work might lead to the slower growth of economy. On the other hand, a contrary view suggests that an increase of the inequality of income has a negative impact on the economy. The accumulation of wealth by a small number of citizens raises doubts about good use of that wealth for investments necessary for the growth of the economy. An excessive inequality of income is confronted with disapproval of the significant part of society and regarded as unfair and unjustified. It may also increase the crime level and decrease the trust and, more generally, lead to the weakening of social capital. The arguments above lead to a hypothesis that the influence of the inequality of income on the growth of the economy has a non-linear character. We confirmed this hypothesis in growth models of the US and Swedish economies. We assess the historically optimal inequality of income measured by the Gini coefficient at 46% and 24% for the US and Sweden respectively. The optimal inequality of income in Poland was assessed previously at 29%. The dissimilarities may result from the cultural differences, educational level differences, ethnic differences and differences in diligence.
11
Content available remote

Universal basic income. Theory and practice

100%
Managerial Economics
|
2018
|
vol. 19
|
issue 1
103-116
XX
A universal basic income is fi nancial income agreed to all members of society without the need to provide work. The right to this income and its level are universal and independent of the size and structure of the household. In addition, a universal income is paid regardless of the income of the citizens from other sources. The purpose of the article is to provide a theoretical and empirical analysis of a universal basic income, with a particular emphasis on the origin and re-sults of introducing this instrument. In the text, research methods are used based on literature studies in macroeconomics and economic policies as well as statistical and descriptive methods based on the data published by international economic institutions (Organization for Economic Co-operation and Development and the World Bank).
XX
Purpose: The aim of the paper is to present the theoretical and empirical arguments for the causality between growing income inequality and increasing public debt within the capitalist economies. Methodology: The paper consists of two major parts. The first part discusses the long-term changes in value of public debt and income inequality within countries, and presents the theoretical arguments for the causality between these two categories. The second part of the paper is an attempt to investigate the impact of inequality in the upper and lower parts of income distribution on an increase of public debt in a sample of OECD-countries in 1995–2010. The statistical analysis is based on calculations of: (a) correlation coefficients between income inequality and public debt; and (b) parameters of regression equations of the level and rate of growth of public debt in a sample of countries. The parameters of regression equations were calculated with ordinary least squares and fixed effects methods. Findings: The results of the calculation illustrate that the growth of income inequality in the upper and lower parts of distribution stimulated an increase in value of public debt in the OECD countries between 1995 and 2010.
PL
W artykule podjęto próbę zaprezentowania skutków kryzysu finansowego z 2007 roku dla nierówności w krajach na różnym poziomie rozwoju ekonomicznego. Artykuł składa się z dwóch zasadniczych części. W pierwszej części uwagę zwrócono na rozstrzygnięcia teoretyczne i wyniki badań empirycznych w zakresie wpływu z jednej strony cyklu koniunkturalnego, z drugiej zaś kryzysów na nierówności. Następnie przedstawiono wpływ kryzysu 2007–2008 na zróżnicowania dochodowe wewnątrz krajów w oparciu o wyniki badań OECD z lat 2008, 2011 i 2013. Artykuł zamyka podsumowanie i wnioski z prowadzonych rozważań.
EN
The article is an attempt to present the outcomes of financial crises on income inequality in countries at various stages of economic development. Article consists of two parts. The first part discusses the theoretical and empirical research on implications of conjuncture fluctuations and crises itself for income inequality. The second part refers to discretion of income inequality change during and after the financial crises 2007–2008 within the OECD countries. last part of the article is the conclusion that sums up the issues analyzed in the text.
EN
Inequality in the distribution of income in the population is an important economic indicator. Today, economic inequality receives considerable attention due to the book of Thomas Piketty Capital in the 21st Century. The tremendous media coverage of the topic also attracted the attention of the world leaders. In many countries, the topic of inequality in income distribution was defined as a national challenge and was found at the top of the priorities of many important organizations, such as the International Monetary Fund (IMF) and the Organization for Economic Co-operation and Development (OECD). These organizations treat income distribution as the top priority because they see the problem to be a threat to the continuation of the existence of the global economic system [Piketty and Qian 2009]. This paper aims to describe the distribution of income in Israel and provide solutions for a more equal distribution of income.
EN
The presented article uses the method of non-weighted average absolute deviation for expressing income inequality in 11 selected Central and Eastern European Countries. Specifically, the analysis of income inequality is done for Poland, the Czech Republic, the Slovak Republic, Austria, Slovenia, Hungary, Romania, Bulgaria, Latvia, Lithuania and Estonia. Based on the determination of income inequality in the article an analysis is made concerning the development of income inequality, including the subsequent inter-regional comparison in the context of the degree of income inequality in a given human society and economy. The text of this article is organized in 4 parts, after Introduction follows the analytic chapter where, primarily, the method of non-weighted average absolute deviation is explained. The third part contains the empirical analysis of income inequality, and the Conclusion highlights some major conclusions of detailed analysis made in Chapter 3. The analysis of income distribution of 11 European households between years 2005-2013 and its order is made in deciles basing on empirical data from the Statistics on Living Conditions and Welfare published by Eurostat.
Managerial Economics
|
2017
|
vol. 18
|
issue 2
133-145
EN
The purpose of this article is to verify whether income inequality impedes the accumulation of human capital in OECD countries during the years of 1990–2010. The article reviews theoretical findings that suggest a negative impact of income dispersions on human capital, and subsequently, it presents estimations of a dynamic model of human capital accumulation. The results of the study reveal a negative and statistically significant relationship between income inequality and human capital inflow measured as student skills test scores.
EN
A formula of measures applied to assess the level of income inequality results from the intellectual basis on which this approach is founded. Our paper focuses on Generalized Entropy measures. The aim of our paper is two-fold. Firstly, it aims at presenting GE measures and discussing their properties, especially the property of additive decomposition. Secondly, the empirical aim is to assess the level of income inequality in Poland and to indicate its main determinants. In the study we use microdata obtained from EU-SILC that cover information about incomes received by individual household members in 2016. Five factors are chosen as the possible drivers of income inequality. The study proves the characteristics related to human capital are the most influential factors of income variability between households. The characteristics describing the composition of the household contribute to the overall level of inequality to a smaller extent.
EN
High income inequality can be a source of serious socio-economic problems, such as increasing poverty, social stratification and polarization. Periods of pronounced economic growth or recession may impact different groups of earners differently. Growth may not be shared equally and economic crises may further widen gaps between the wealthiest and poorest sectors. Poverty affects all ages but children are disproportionately affected by it. The reliable inequality and poverty analysis of both total population of households and subpopulations by various family types can be a helpful piece of information for economists and social policy makers. The main objective of the paper was to present some income inequality and poverty estimates with the application to the Polish data coming from the Household Budget Survey. Besides direct estimation methods, the model based approach was taken into regard. Standard errors of estimates were also considered in the paper.
EN
The purpose of this article is to present and analyse selected factors of income inequality associated with the labour market, socioeconomic conditions, tax systems, globalisation, freedom and financialisation in the post-socialist countries of Central and Eastern Europe and Central Asia from 1991 to 2019. Income inequality has significantly increased since the economic transition of the early 1990 s. The initial sharp increase in the Gini coefficient was partly expected due to institutional changes following the departure from the communist system, which kept inequality at a low level for ideologic reasons. However, the long-term development of income stratification depended on the approach taken by newly established institutions, external factors, and the preconditions of the transition. Research methods used in this study included cluster analysis employing Ward’s method, cross-sectional and panel regression, statistical analysis, and regression tree analysis with the CART algorithm. The results reveal the existence of several dominant trends in the development of income inequality and a link between the preconditions of economic transformation and the further evolution of the Gini coefficient. The study also identifies the most significant determinants and analyses their co-occurrence.
PL
Celem artykułu jest przedstawienie i przeanalizowanie wybranych czynników nierówności dochodowych związanych z rynkiem pracy, sytuacją społeczno-ekonomiczną, systemem podatkowym, globalizacją, wolnością oraz finansjalizacją w krajach postsocjalistycznych z obszaru Europy Środkowo-Wschodniej i Azji Centralnej w latach 1991–2019. W okresie transformacji gospodarczej nierówności dochodowe znacznie wzrosły na początku lat 90. XX w. Początkowy, gwałtowny wzrost współczynnika Giniego był częściowo oczekiwany ze względu na liczne zmiany instytucjonalne, wynikające z odejścia od systemu komunistycznego, ideologicznie utrzymującego nierówności na niskim poziomie, jednak w dłuższej perspektywie pogłębienie się rozwarstwienia dochodowego zależało od wypracowanego przez nowo powstałe instytucje podejścia, czynników zewnętrznych i samych warunków wstępnych transformacji. Jako metody badawcze wykorzystano analizę skupień metodą Warda, regresję przekrojową i panelową, analizę statystyczną oraz drzewo regresyjne z algorytmem CART. Uzyskane wyniki wskazują na występowanie kilku dominujących tendencji rozwojowych nierówności dochodowych na badanym obszarze i powiązanie warunków wstępnych transformacji gospodarczej z dalszym rozwojem współczynnika Giniego. Badanie pozwoliło również wyodrębnić najistotniejsze determinanty oraz przeanalizować zależności ich współwystępowania.
EN
The unconditional basic income is the income allotted to all members of society individually, without them having to provide work instead. The right to this income and its level are unconditional and independent of the size and structure of households. In addition, unconditional income is paid regardless of the citizens’ income from other sources. The aim of this paper was to conduct a theoretical and empirical analysis of the unconditional basic income, with particular emphasis on the genesis and effects of the implementation of such a mechanism. The research methods used in the paper have been based on literature presenting studies in macroeconomics and economic policy as well as on the data obtained using statistical and descriptive methods published by the Organisation for Economic Co-operation and Development.
PL
Bezwarunkowym dochodem podstawowym jest dochód przyznany wszystkim członkom społeczeństwa indywidualnie, bez konieczności świadczenia pracy. Prawo do tego dochodu i jego poziom mają charakter bezwarunkowy i są niezależne od wielkości i struktury gospodarstw domowych. Ponadto dochód bezwarunkowy jest wypłacany bez względu na dochody obywateli pochodzące z innych źródeł. Celem artykułu jest analiza teoretyczna i empiryczna koncepcji bezwarunkowego dochodu podstawowego ze szczególnym uwzględnieniem genezy oraz skutków wprowadzenia tego mechanizmu. W tekście wykorzystano metodę badawczą opartą na studiach literaturowych z zakresu makroekonomii i polityki gospodarczej oraz metody statystyczno-opisowe na podstawie danych publikowanych przez Organizację Współpracy Gospodarczej i Rozwoju.
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