scholarly journals Fakta empiris kurva U-terbalik Kuznets mengenai pertumbuhan ekonomi di Provinsi Jambi

2019 ◽  
Vol 14 (1) ◽  
pp. 9-16
Author(s):  
Nessy Fameylan Alin ◽  
Heriberta Heriberta ◽  
Etik Umiyati
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Per Capita ◽  
Kuznets Hypothesis ◽  
The Relationship

The study aimed to analyze the development of the gini ratio and income per capita and to prove whether the hypothesis of Kuznets (U-inverted curve) applies in Jambi Province. To prove whether the Kuznets hypothesis applies in Jambi Province through an analysis of the relationship between per capita income and the gini ratio. The results of the study found that the growth of per capita income in Jambi Province was followed by the development of relatively fluctuating income inequality. Therefore,  the Kuznets' hypothesis is not valid in Jambi Province.

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

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

Does income matter in the happiness-corruption relationship?

2014 ◽  
Vol 41 (3) ◽  
pp. 469-490 ◽  
Author(s):  
Mak Arvin ◽  
Byron Lew
Keyword(s):  
Empirical Model ◽  
Capita Income ◽  
Design Methodology ◽  
Per Capita Income ◽  
Content Type ◽  
Discernible Effect ◽  
Per Capita ◽  
The Relationship ◽  
Practical Implications ◽  
Cutoff Levels

Purpose – Empirical evidence on the relation between happiness (life satisfaction) and corruption is barely perceptible in the literature. The purpose of this paper is to contribute to closing this gap by presenting some estimates using a large cross-section of countries over the period 1996-2010. Design/methodology/approach – The empirical model allows both corruption and per capita income to enter as arguments of a happiness “production function”. The correlation between happiness and corruption is presumed to be non-linear. Findings – While the results do not support the existence of a Kuznets-type trajectory, the study finds that the level of per capita income determines whether happiness and corruption are related and in what way. The authors estimate cutoff income levels at which corruption has a discernible effect on happiness. The results show that corruption reduces happiness, but only for high-income countries – roughly the upper half of the income range in the sample. Practical implications – Results nullify the oft-asserted statement that happiness is negatively linked to corruption in all countries. The nature of correlation is more complex. Originality/value – The paper goes beyond simply testing whether happiness is related to corruption. It conjectures that the relationship between the two variables is non-monotonic. Thus, the analysis considers the notion that the association between happiness and probity is income dependent. A novel feature of the empirical model is that the estimated income cutoff levels are endogenously determined. That is, income thresholds are not pre-determined. The authors also test for the robustness of the results by addressing the issue of potential endogeneity of corruption.

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 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.

An Econometric Analysis of the Links Between Income Inequality and Economic Growth

2009 ◽  
pp. 130
Author(s):  
Yohannes G. Hailu ◽  
Tesfa G. Gebremedhin ◽  
Randall W. Jackson
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Empirical Evidence ◽  
Growth Model ◽  
Capita Income ◽  
Regional Growth ◽  
County Level ◽  
Income Inequalities ◽  
Per Capita ◽  
The Relationship

This study investigates temporal demographic changes and income inequalities, and more importantly the relationship between income inequality and economic growth inWest Virginia. Departing from earlier studies, a regional growth model is utilized and empirically tested using county level West Virginia data (1990-2000). Results suggest that per-capita income change is positively related to population and employment changes but negatively related to income inequality. This empirical evidence indicates that higher income inequality can potentially hinder economic growth.

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.

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