scholarly journals EVIDÊNCIAS EMPÍRICAS SOBRE CONVERGÊNCIA DA DESIGUALDADE DE RENDA ENTRE OS MUNICÍPIOS CEARENSES

2015 ◽  
Vol 18 (2) ◽  
pp. 557
Author(s):  
Airton Lopes Amorim ◽  
Ricardo Bruno Nascimento dos Santos ◽  
Eliane Pinheiro de Sousa ◽  
Daniel Arruda Coronel
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Gini Index ◽  
Initial Period ◽  
Threshold Effect ◽  
Per Capita Income ◽  
Conditional Convergence ◽  
Average Value ◽  
Convergence Clubs ◽  
Per Capita

A desigualdade de renda tende a diminuir em municípios com elevada desigualdade e a aumentar naqueles com baixa desigualdade? Este trabalho tenta responder a essa questão ao verificar se existiu convergência da desigualdade de renda entreos municípios cearenses, nos anos 1991 e 2000. A principal medida de desigualdade de renda utilizada foi o índice de Gini, sendoos testes de convergência realizados por meio de modelos com efeito threshold, nos quais as variáveis concernentes ao índice deGini, à renda per capita e aos anos de estudo, medidas no período inicial, foram consideradas como possíveis variáveis threshold. Os resultados permitiram rejeitar a hipótese de clubes de convergência da desigualdade de renda entre os municípios cearenses. Noentanto, não se pode rejeitar a hipótese de convergência condicional da desigualdade de renda entre os mesmos, sendo que eles estariam convergindo para um valor médio de equilíbrio de desigualdade de renda maior, ou seja, os municípios cearenses estariam tornando-se mais concentradores de renda per capita. Palavras-chave: Desigualdade de renda, Índice de Gini, efeitos Threshold.EMPIRICAL EVIDENCES ABOUT THE CONVERGENCE OF INCOME INEQUALITY AMONG CITIES FROM CEARAAbstract: The income inequality tends to decrease in municipalities with high inequality and increase in those with low inequality? This paper intends to answer this question by checking if there was convergence of income inequality in the municipalities of the State of Ceará, in the years 1991 and 2000. The main measurement of income inequality used was the Gini index, with the convergencetests conducted through models with threshold effect, in which the variables relating to the Gini index, to the per capita income and to the years of study were considered, measured in the initial period as possible threshold variables. The results allowed rejectingthe hypothesis of convergence clubs of the per capita income inequality among the cities from Ceará. However there is no way to reject the hypothesis of conditional convergence of the income inequality in the municipalities among the same, where these would be converging to an average value of the bigger income inequality, that is, they would be turning themselves into more per capita income-concentrating municipalities.Key words: Income inequality, Gini Index, Threshold effect.

Regional Economic Growth and Inequality in India: A Sector-wise Decomposition Analysis

2020 ◽  
pp. 097674792091082
Author(s):  
Ranjan Aneja ◽  
Barkha ◽  
Umer Jeelanie Banday
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Decomposition Analysis ◽  
High Growth ◽  
Major Change ◽  
Per Capita Income ◽  
Tertiary Sector ◽  
Reform Period ◽  
Per Capita

This article attempts to examine the behaviour of various sectors, with emphasis on the role of income inequality. First, the article estimates the sectoral decomposition in terms of net state domestic product (NSDP) among different states from years 1991–1992 to 2016–2017. Second, we analyse the sector-wise decomposition of regional inequality in term of per capita income. Finally, we analyse the role of developmental expenditure in regional inequalities in term of per capita developmental expenditure across various states. Based on empirical results, India has witnessed a high growth in per capita income in the post-reform period. With high growth rate, the sectoral composition of income has also registered a major change. The tertiary sector is the major contributor to growth in the post-reform period. At the sectoral level, disparity decreased within the sectors in case of primary and tertiary sector and increased in secondary sector. However, overall, the tertiary and secondary sectors are more responsible for raising the income inequality among the states while primary sector is offsetting this gap. JEL: O15, I14, I32, O12

scholarly journals Beta Convergence Analysis on Transition Economies: 1991-2011

2014 ◽  
Author(s):  
Ş. Mustafa Ersungur ◽  
Aslı Cansın Doker ◽  
Adem Türkmen
Keyword(s):  
Economic System ◽  
Convergence Analysis ◽  
Transition Economies ◽  
Capita Income ◽  
Developed Countries ◽  
Per Capita Income ◽  
Conditional Convergence ◽  
Convergence Hypothesis ◽  
Empirical Results ◽  
Per Capita

Owing to Solow’s neo-classical the convergence hypothesis, which explains underdeveloped and developing countries grew faster than any of these developed countries have acknowledged that captures the level of per capita income, was added to the economic growth and development literature. Despite, theoretically there are two different approaches in convergence analysis; real and conditional, it cannot be said generalizing empirical results for both. Accordingly, 29 transition economies which tried to cross from the planned economic system into liberal economic system, is subjected to this study. Convergence have been analysed on transition economies between 1991 and 2011 using the growth rate of per capita income as variables by cross-sectional data analysis. In this study, additionally to real convergence, obtaining from the KOF index of economics, political and social integration and openness data were included the model as dummy variables for examining conditional convergence. Depending on empirical results on real and conditional convergence analysis, the convergence hypothesis is accepted. It is identified that Cambodia, Vietnam and China especially have caught up with faster growth comparing with other transition economies; however, those countries have shown weaker convergence than others. On the other hand, Kirghizstan and Tajikistan, which are known as mostly having the effects of transition recessions, have negative growth rates, and those countries have been diverging from other countries’ growth performance. From findings obtained within conditional convergence, it is examined while political liberalisation and openness variables have been accepted significantly; the economic and social liberalization variables have no significant effect on convergence.

scholarly journals PENGARUH KETIMPANGAN PENDAPATAN, PENDAPATAN PER KAPITA, DAN PENGELUARAN PEMERINTAH DI BIDANG KESEHATAN TERHADAP SEKTOR KESEHATAN DI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Uswatun Hasanah
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Health Effect ◽  
Government Expenditure ◽  
Health Sector ◽  
Research Area ◽  
External Factors ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Per Capita

AbstractHuman resource is one of capital importance in the development of a nation. One of the important aspects that affect human resources are a public health level, where health sector has an important role. The status of one's health is the result of the interaction of various factors, namely internal and external factors. Internal factors consist of physical and psychological factors, while external factors consist of economic factors, education, environment and cultureThis research aims to examine and analyze the effect of income inequality as measured by the Gini Ratio against the health sector as measured by life expectancy in Indonesia in 2005-2013. On the research of regression equation using data panels with Random Effects Model approach. The results of this research is the inequality of income, per capita income, and Government expenditure in the health effect simultaneously against health sector in Indonesia in 2005-2013 and is partial, inequality of income, per capita income, and Government expenditure in the health sector impact health sector in Indonesia in 2005-2013. Keywords : Health sector, income inequality, income per capita, Government expenditure in health sector. Research Area: Indonesia

scholarly journals Relationship between income inequality, socioeconomic development, vulnerability index, and maternal mortality in Brazil, 2017

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria do Socorro Candeira Costa ◽  
Francisco Winter dos Santos Figueiredo
Keyword(s):  
Maternal Mortality ◽  
Capita Income ◽  
Gini Index ◽  
Socioeconomic Development ◽  
Maternal Mortality Ratio ◽  
Socioeconomic Indicators ◽  
Per Capita Income ◽  
Socioeconomic Determinants ◽  
Income Per Capita ◽  
Per Capita

Abstract Background Public health recognizes that health conditions depend on factors related to the development patterns income distribution, degree of poverty, working conditions, among other social determinants. The objective of this study was to analyze the association of maternal mortality with the Human Development Index (HDI), Gini Index, Income per capita, and the Social Vulnerability. Method The study analyzed the relationship between MMR and socioeconomic indicators in the 26 federative units and the Federal District of Brazil, in 2017. The socioeconomic indicators used in the study were: HDI, Gini Index, Income per capita, and SVI. Crude and adjusted linear regression were performed between maternal mortality and socioeconomic indicators. Results When analyzing which socioeconomic determinants that are related to maternal mortality ratio rates, a higher per capita income positive effect was observed for lower MMR (β = − 150.8; CI 95% -289.9 to − 11.7; r2 = 0.17; p = 0.035), as well as a trend of higher MMR in relation to the SVI (β = 97.7; CI 95% -12.2 to 207.6; r2 = 0.12; p = 0.079). In model found by the stepwise forward selections, only the per capita income was um index related to less RMM (β = − 0.02; CI 95% -0.05 to − 0.002; r2 = 0.15; p = 0.028). Conclusion The findings showed that the per capita income has a negative association MMR in the different states of Brazil, but seems canceled because of the other socioeconomic determinants related to the poor live conditions.

scholarly journals Per Capita Income Inequality in Czech Households Before, During and After the Economic and Financial Crisis

2020 ◽  
Vol 68 (5) ◽  
pp. 885-899
Author(s):  
Markéta Hnízdilová ◽  
Václav Adamec
Keyword(s):  
Czech Republic ◽  
Financial Crisis ◽  
Income Inequality ◽  
Capita Income ◽  
Household Head ◽  
Income Level ◽  
Per Capita Income ◽  
The Czech Republic ◽  
Per Capita ◽  
Economic And Financial Crisis

The study tackles the issue of distribution inequality in equalized per capita income in households defined by multiple grouping criteria in the Czech Republic before, during and after the economic and financial crisis. The factors were economic status of the household head, number of children, education and the NUTS 3 administrative regions. Interval grouped per capita income data assembled within the EU-SILC framework via quota sampling were received from czso.cz for 2008, 2012 and 2016. Indicators of income level, variation, quantiles, medial and Gini index were calculated for the respective household groups. Income concentration in the Czech Republic is considerably low among OECD states and still decreasing due to government social and economic policy and favourable phase of the economic cycle. The largest income inequality was detected in the self-employed, jobless and qualified employees, households with 3 or more children, single-parent families with dependants, households with one or both tertiary educated parents or households residing in Prague or Středočeský region. The threat of poverty is imminent in the jobless, economically inactive pensioners, unqualified labourers and households with 3 or more children. Geographically, the poverty affects households mostly in Moravskoslezský or Ústecký regions. Government measures evidently helped reduce income inequality, poverty and social exclusion in Ústecký region in 2008. The least affected regions by poverty were Prague and Středočeský region. Significant differences in income level or concentration of income distributions by regional and other household grouping criteria were revealed.

scholarly journals Livelihood capitals on income inequality among rural households: evidence from China

2020 ◽  
Vol 50 (2) ◽  
Author(s):  
Fan Yang ◽  
Yao Jiang ◽  
Weizhong Zeng
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Capita Income ◽  
Rural Households ◽  
Per Capita Income ◽  
Agricultural Income ◽  
Total Household Income ◽  
Property Income ◽  
Per Capita ◽  
Livelihood Capitals

ABSTRACT: We used the data of the China Labor-force Dynamics Survey 2014 to examine the effects of livelihood capitals which include natural, material, human, financial, and social capitals on total household income, per capita income, agricultural income, wage income, operational income, and property income inequality among rural households in China. Results showed that different kinds of livelihood capitals have different effects on different types of rural households’ income. Specifically; (1) although, the area of cultivated land reduces agricultural income inequality, it increases per capita income inequality. (2) Forest land area enlarges per capita income inequality and total household income inequality. (3) Tractor variable reduces inequality in agricultural income and total household income. (4) While reducing the property income inequality, education variable enlarges the wage income inequality, the per capita income inequality and the total household income inequality. (5) Book variable reduces property income inequality. (6) Loan variable increases inequality in agricultural incomes. (7) Party variable reduces the agricultural income inequality. (8) Although, the internet variable increases agricultural income inequality, and property income inequality, it reduces wage income inequality, operational income inequality, per capita income, and total household income inequality.

Financial Deepening and Income Inequality in Nigeria: Evidence from Zivot-Andrews and Gregory-Hansen Structural Break Analyses

2021 ◽  
Vol 39 (8) ◽  
Author(s):  
Bosede Ngozi Adeleye ◽  
Solomon Nathaniel ◽  
Ifeoluwa Ogunrinola ◽  
Edamisan Ikuemonisan
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Structural Breaks ◽  
Structural Break ◽  
Break Point ◽  
Annual Data ◽  
Financial Deepening ◽  
Per Capita Income ◽  
Long Run ◽  
Per Capita

Aligning with the Sustainable Development Goal (SDG) 10 agenda, this paper undertakes a structural break analysis on the effects of financial deepening on income inequality in Nigeria using annual data from 1980 to 2015 and error correction approach within the framework of the autoregressive distributed lags (ARDL) model. Major findings are as follows: (1) in the long-run, financial deepening and per capita income have equalising impact on income inequality; (2) an equalising effect of financial deepening is observed at the turn of a break point; (3) surprisingly, in the short-run, financial deepening aggravates inequality, and (4) the equalising effects of these variables are robust to the choice of financial deepening variables, the different structural break points and model specifications. These results suggest that income inequality depends on financial deepening and per capita income and that not controlling for structural breaks may lead to wrong inferences when making decisions on issues related to reducing income inequality in Nigeria.

scholarly journals Dampak ekspor ke Jepang dan investasi asing terhadap pendapatan perkapita masyarakat di Indonesia

2018 ◽  
Vol 13 (2) ◽  
pp. 47-54
Author(s):  
Candra Mustika ◽  
Erni Achmad ◽  
Etik Umiyati
Keyword(s):  
Foreign Direct Investment ◽  
Capita Income ◽  
Direct Investment ◽  
Gdp Per Capita ◽  
Per Capita Income ◽  
Average Growth ◽  
Average Value ◽  
Per Capita ◽  
The Impact ◽  
Research Period

This study aims to analyze the development of exports to Japan and foreign direct investment and per capita income in Indonesia during the period 1993-2014 also the impact of exports to Japan and foreign direct investment on per capita income of Indonesian people in that period. During research period starting in 1993-2014 where the GDP per capita has fluctuated where the average value is 15.058 in thousand rupiahs per year with an average growth of 16.61%, then the results obtained during that period the highest growth in 1998 is 50.50% and the lowest growth occurred in 2012 which was 8.46%. FDI Indonesia has fluctuated with an average value of 17,804.61 million US dollars and with an average growth of 15.35%. From the regression results on both models, the results found that in the first model the value of exports to Japan has a positive and significant effect on GDP per capita while the FDI variable does not have a positive and significant effect on GDP per capita

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