scholarly journals Joint Determinants of Monetary, Macroeconomic, Social and Income Inequality

Author(s):  
Abdulrahman Taresh A. ◽  
Dyah Wulan Sari ◽  
Rudi Purwono

This study discusses all the potential relationships between monetary, macroeconomic, social and income inequality in an integrated manner by making Indonesia a concrete case study. This empirical study discussed the relationship based on theoretical modelling and carried out through appropriate  estimators  applied  to  the  data  of  33  provinces  in  Indonesia.  To  achieve  this  objective, the simultaneous model of seemingly unrelated regressions (SUR) was used. The results concluded that there are variables that jointly determined the monetary, macroeconomic and social also income inequality. Like, consumption can increase inflation and macroeconomic while at the same time can reduce population growth and human development, and increases income inequality. Savings which determine credit also pushes macroeconomics while simultaneously increasing population growth, and it can reduce income inequality.  Minimum wages can reduce inflation and encourage production growth, while increases human development and reduces population growth also can reduce income inequality. Unemployment can also reduce inflation and increase economic growth, at the same time reduces population growth and human development while increases income inequality. Education and health encourages economic growth and the level of human development then can reduce income inequality.

2019 ◽  
Vol 6 (4) ◽  
pp. 969-980 ◽  
Author(s):  
Ümit ÇELEBİ ◽  
Mustafa Emre CİVELEK

Economic growth indicates a decent standard of living but it falls short of explaining human well-being and economic development in the long run. Human development, by being a broader concept, includes not only economic growth but also education and health indicators. It, therefore, better indicates longer term economic development and human well-being of a country. Number of studies already point to a significant relationship between logistics performance and economic growth. This research investigates whether a similar relationship between logistics performance and human development exists and the mediator role of global connectedness, which is related to both concepts.  The purpose of this study, therefore, is to examine the mediator role of global connectedness in the relationship between logistics performance and human development. The results of the analysis show that global connectedness plays a partial mediator role in the relationship between logistics performance and human development.


Author(s):  
Frances Stewart ◽  
Gustav Ranis ◽  
Emma Samman

This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.


2009 ◽  
Vol 13 (1) ◽  
pp. 138-147 ◽  
Author(s):  
Yi Jin

This paper develops a monetary endogenous growth model with capital and skill heterogeneity to analyze the relationship among inflation, growth, and income inequality. In the model inflation, growth, and inequality are jointly determined. We show that an increase in the long-run money growth rate raises inflation and reduces growth, but its effect on income inequality depends on the relative importance of the two types of heterogeneity. Inequality shrinks with the rise of inflation when capital heterogeneity dominates and enlarges when skill heterogeneity dominates. Therefore, our model supports a negative (positive) inflation–inequality relationship and a positive (negative) growth–inequality relationship when capital (skill) heterogeneity dominates. In any event, inflation and growth are negatively related.


2021 ◽  
pp. 1-15
Author(s):  
PHUC VAN PHAN

Public governance and income inequality relationship is complex and debatable. This paper examines the extent to which the quality of local governance affects inequality in Vietnam spanning the 2006–2016 period. I apply a generalized method of moments (GMM) estimators to a dynamic panel data extracted from the Vietnam’s provincial competitiveness index and the Vietnam household living standard surveys. The findings are that there is a positive inequality — corruption link but no statistically significant correlation coefficient between the overall level of governance and income disparity. The study, therefore, suggests that the Vietnamese Government at all levels should consider both more effective legal practices and economic low-cost solutions to mitigate corruption.


2015 ◽  
Vol 9 (6) ◽  
pp. 79-82 ◽  
Author(s):  
Morteza Nemati ◽  
Ghasem Raisi

Nowadays, improvement in income distribution and poverty eradication and hence low inequality are served as the main objectives of economic and social development strategy even prior than primary tasks of governments. to manifest importance of income distribution, some economists adopt income inequality and income distribution in society as criteria for economic system of the community, although these criteria and measures are theoretical for the economic system and this varies from the perspective of different people, however, it denotes on  importance of income distribution among individuals. The main objective of this study was to evaluate the effect of economic growth on income inequality in the selection of low-income developing countries.To this end, using panel data and data for 28 developing countries over the period 1990-2010 the relationship between GDP and the Gini coefficient was examined. The results indicate that as per hypothesis Kuznets in the early stages of growth, income inequality increases and then it declines in later stage.


2021 ◽  
Vol 4 (2) ◽  
pp. 547-558
Author(s):  
Hamza Saleem ◽  
Fatima Farooq ◽  
Muhammad Aurmaghan

The major objective of this research is to examine the relationship between poverty, income inequality and economic growth from some selected developing countries. This study uses panel data for the period of 2002-2015. All the data is taken from world development indicators (WDI). To find out the results, we have used Hausman test an econometrics technique for panel data in this research. The results of the study indicate that poverty and income inequality have a negative impact on economic growth on the other hand Gross capital formation, labor force, total population and government consumption and expenditure have a positive impact on economic growth. The result tells us that changes in these variables have a significant and positive effect on the dependent variable. To achieve the goal of economic growth developing countries should reduce poverty and take meaningful steps to overcome the problem of inequality in the society which can be very helpful in achieving the goal of economic growth.


Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.


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