scholarly journals Income inequality, regional characteristics and household’s conspicuous consumption: An empirical study in developing market

2022 ◽  
Vol 11 (1) ◽  
pp. 64-72
Author(s):  
Yeti Lastuti ◽  
Khoirunurrofik Khoirunurrofik

This study aims to analyze the effect of income inequality and regional characteristics such as ethnicity and religion on conspicuous consumption for visible and invisible good types of households in the Indonesian regions by dividing regions into regions with low and high-income inequality levels based on the value median Gini index in Indonesia. The data set deployed in this study were pooled data collected from households provided by the Indonesian Central Bureau of Statistics 2017 and 2018. Employing the OLS method, we find that 1) income inequality has a negative effect on visible goods, and positive effect on invisible goods, 2) ethnicity and religion give an effect on visible and invisible goods. The government should pay attention to the phenomena of conspicuous consumption because numerous problems will likely arise if this conspicuous consumption is ignored. High conspicuous consumption would tend to lead to a materialistic lifestyle causing a higher inequality. In addition, the crime rate could equally increase given the high risk of conspicuous consumption in attracting others’ attention to individuals’ wealth.

2018 ◽  
Vol 62 (3) ◽  
pp. 251-269 ◽  
Author(s):  
Mads Meier Jæger

Aggregated data on regions within countries have been used to analyze the effect of religion and religiosity on aggregate support for redistribution. The data are from the International Social Survey Programme and a panel data set was constructed at the level of regions that were observed several times over the period 1985–2010. Empirical analyses show that a higher share of Catholics within a region has a positive effect on aggregate support for redistribution; a higher share of Protestants has a negative effect; religiosity (measured by church attendance) has no effect; and the effect of a religious denomination is non-linear and depends on whether or not it has a weak or a strong presence in a region. It was also found that Scandinavia is unusual in combining a high share of Protestants with high aggregate support for redistribution.


Author(s):  
Rodolfo Hoffmann

Income inequality in Brazil, already high, increased after the military coup of 1964 and remained very high even after democratization in the 1980s. It decreased substantially in the period 2001–2014, after inflation was controlled. The Gini index of the per capita household income dropped from 0.594 in 2001 to 0.513 in 2014. The determinants of this decline in inequality are analyzed considering the components of that income and how each one affected changes in inequality, showing the impact of changes in the remuneration of private sector employees and in pensions paid by the government, as well as federal transfer programs. Changes in education lie behind the first of these effects, and the increase of the minimum wage reinforced all three. The economic crises after 2014 interrupted the process of decline, and among economically active persons, inequality even increased from 2014 to 2015. Measures to further reduce inequality are suggested.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Hilda Wiranti ◽  
Alpon Satrianto

Abstract: This study aims to determine (1) the effect of the level of education on the opportunitiesfor job seekers to access the internet in West Sumatra. (2) the influence of gender on job seekers'opportunities to access the internet in West Sumatra. (3) the influence of age on the opportunitiesfor job seekers to access the internet in West Sumatra. (4) the influence of the area of residence onthe opportunities for job seekers to access the internet in West Sumatra. (5) the effect of income onjob search opportunities in accessing the internet in West Sumatra. This type of research isdescriptive - associative. The types and sources of data from the Socio-Economic Survey aresecondary. In this study using data that already exists in a data collection (National Socio-Economic Survey (SUSENAS) in 2018. The analysis tool used is logistic regression analysis, andthe total number of job seekers is 1,641 people. From the results of this study, it is explained that(1) education has a significant positive effect on the opportunities for job seekers to access theinternet in West Sumatra, (2) gender has no significant negative effect on the opportunities for jobseekers to access the internet in West Sumatra. (3) age has no significant positive effect on theopportunities for job seekers to access the internet in West Sumatra (4) the area of residence has apositive and significant effect on the opportunities for job seekers to access the internet in WestSumatra. (5) income has a significant positive effect on the opportunities for job seekers to accessthe internet in West Sumatra. As for the results of the research, so that the government of WestSumatra Province can provide socialization on the use of the internet in looking for work andbecome a consideration for the government in formulating a policy related to job availability forjob seekers in accessing the internet.Keywords: Job seekers, Internet, Logistic Regression.


2018 ◽  
Author(s):  
M.Si Dr. Andi Sessu

The economic development in Indonesia from period to period until now is increasing because Indonesia is very rich with natural and human resources, only quality human resources need to improve their quality in order to be able to develop better economy in the future, however unemployment and poverty rate of Indonesia is still high compared to some other countries in the world, therefore it is necessary jointly between individual society, private and the government has maximum efforts to reduce unemployment and poverty in Indonesia, by increasing the growth of gross domestic product (GDP) contribution by business field can reduce poverty level in Indonesia. The result of multiple regression analysis shows that the contribution of GDP according to business field can decrease poverty level in Indonesia. This condition indicates that agriculture, forestry, fishery sector has a negative effect on poverty rate in Indonesia which means any decrease in agriculture, forestry, fishery by one unit affect the decrease of poverty level of 0.203 at constant -7,70, while the other three factors mining and quarrying, processing industry factor and trade factor have a positive effect on poverty level which means that every increase of one unit leads to a significant increase in poverty not yet able to reduce poverty level but has significant influence on all variables to poverty level in Indonesia. The results of multiple correlation coefficient analysis indicate that from each sector, agriculture, forestry, mining fishery, excavation, processing industry and trade are very strong together that is equal to 97,70%, besides coefficient value of determination equal to 0,96% whereas the remaining 4% of the poverty rate is influenced by other factors


2018 ◽  
Vol 4 (1) ◽  
pp. 73
Author(s):  
Andi Sessu

The economic development in Indonesia from period to period until now is increasing because Indonesia is very rich with natural and human resources, only quality human resources need to improve their quality in order to be able to develop better economy in the future, however unemployment and poverty rate of Indonesia is still high compared to some other countries in the world, therefore it is necessary jointly between individual society, private and the government has maximum efforts to reduce unemployment and poverty in Indonesia, by increasing the growth of gross domestic product (GDP) contribution by business field can reduce poverty level in Indonesia. The result of multiple regression analysis shows that the contribution of GDP according to business field can decrease poverty level in Indonesia. This condition indicates that agriculture, forestry, fishery sector has a negative effect on poverty rate in Indonesia which means any decrease in agriculture, forestry, fishery by one unit affect the decrease of poverty level of 0.203 at constant -7,70, while the other three factors mining and quarrying, processing industry factor and trade factor have a positive effect on poverty level which means that every increase of one unit leads to a significant increase in poverty not yet able to reduce poverty level but has significant influence on all variables to poverty level in Indonesia. The results of multiple correlation coefficient analysis indicate that from each sector, agriculture, forestry, mining fishery, excavation, processing industry and trade are very strong together that is equal to 97,70%, besides coefficient value of determination equal to 0,96% whereas the remaining 4% of the poverty rate is influenced by other factors.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Ayla Ogus Binatli

This paper investigates whether the relationship between income inequality and growth changes over time. Two time periods, covering 1970–1985 and 1985–1999, are analyzed and compared. A statistically significant relationship between inequality and growth in either time period fails to emerge. However, there are indications that effect of inequality on growth may be different in the nineties when compared to the seventies. In the literature, a consistent negative effect of inequality on growth is documented although the significance of the effect is open to debate. This paper also finds a negative effect of income inequality on growth in the seventies but, although statistically insignificant, a consistently positive effect in the nineties.


2018 ◽  
Vol 1 (1) ◽  
pp. p207
Author(s):  
Josephat Lotto ◽  
Catherine T. Mmari

The main objective of this paper was to examine the impact of domestic debt on economic growth in Tanzania for the period 1990 to 2015 using Ordinary Least Square (OLS) regression method to estimate the effects. The study finds that there is an inverse but insignificant relationship between domestic debt and the economic growth of Tanzania as measured by GDP annual growth. The inverse relationship between domestic debt and GDP may be caused by different factors such as; increased trend in domestic borrowing, government lenders’ profile dominated by commercial banks and non-bank financial institutions which promotes the “crowding out” effect; the nature of the instruments used by the government ; the improper use of the domestic borrowed funds which may include funding budgetary deficits, paying up principal and matured obligations on debt, developing financial markets as well as fund other government operations. Other control variables relate with the GDP as predicted. For example, Inflation (INF) has a negative effect on the GDP growth rate, but the relationship is not statistically significant, while gross capital formation (GCF) has a positive statistically significant effect on GDP growth rate. Furthermore, foreign direct investment (FDI) showed a positive effect on the GDP growth rate and export (X) has a positive effect on GDP growth rate, and the relationship is statistically significant explaining that if a country applied an export-led growth economic strategy it enjoys the gains of participating in the world market. This means that an increase in export stimulates demand for goods which leads to increase in output, and as a country’s output increases, the economic performance also takes a similar trend. Finally, government expenditure (GE) had a negative effect on the GDP growth rate which may be explained by the increased government expenditures which are funded by either tax or borrowing. Therefore, what is required for countries like Tanzania is to have better debt management strategies as well as prudential financial management while maintaining to remain within the internationally acceptable debt level of 45% of GDP and maintain a GDP growth rate of not less than 5%. It is important for the country to realize from where to borrow from, the tenure, the risks involved and limitations to borrowing and thus set the right balance of combination of both kinds of debt. Another requirement is to properly utilize the borrowed funds. The central government’s objective should be to use the funds in more development-oriented projects that bring positive returns to the economic development.  The government should not only create a right environment and policies for investment to attract investment from domestic and foreign sources but also be cautious about the kind of investments that the foreign investors make.


2021 ◽  
pp. 26-41

This study has been designed for examining the effectiveness of liquidity management through the relative standing of ROE and ROCE of Nationalized Commercial Banks in Bangladesh for the duration of 2008–2018. Six NCBs are selected purposively as sample. The study relies on a balanced panel data set of 66 observations which are gathered from the annual reports of banks and analyzed by random effects regression model. However, the research only examined a few variables. The empirical results reveal that the selected NCBs have been portraying better standing in case of ROE than ROCE in effective liquidity management. The value of R2 of ROE is 75.25%; it signifies that the explanatory measures could clarify 75.25% of the variations in ROE. Among the liquidity measures, Assets/Shareholders Equity has highly significant negative effect; Tier 1 Capital/Risk Weighted Assets has highly significant positive effect; Deposits/Assets have some significant positive and Bank Size in terms of Deposits has some significant negative effect on ROE of the selected NCBs.


2021 ◽  
pp. 26-41

This study has been designed for examining the effectiveness of liquidity management through the relative standing of ROE and ROCE of Nationalized Commercial Banks in Bangladesh for the duration of 2008–2018. Six NCBs are selected purposively as sample. The study relies on a balanced panel data set of 66 observations which are gathered from the annual reports of banks and analyzed by random effects regression model. However, the research only examined a few variables. The empirical results reveal that the selected NCBs have been portraying better standing in case of ROE than ROCE in effective liquidity management. The value of R2 of ROE is 75.25%; it signifies that the explanatory measures could clarify 75.25% of the variations in ROE. Among the liquidity measures, Assets/Shareholders Equity has highly significant negative effect; Tier 1 Capital/Risk Weighted Assets has highly significant positive effect; Deposits/Assets have some significant positive and Bank Size in terms of Deposits has some significant negative effect on ROE of the selected NCBs.


2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Dian Citra Amelia

This research is based on the fact that the state of economic growth in Indonesia tends to fluctuate, even more often decrease. This is because the government policy is not appropriate to improve the economic growth of Indonesia. This study aims to determine and analyze the factors of foreign direct investment, inflation, international trade, and government expenditure that affect economic growth in Indonesia. The problem in this research is due to the limited fund in economic development both structure and infrastructure so that economic growth tends to decrease. Therefore, appropriate strategies must be taken to overcome the limitations in promoting economic growth. From this problem, this research aims to see how big influence of foreign direct investment (FDI), inflation (INF), international trade (NX) and government expenditure (GE) variable to economic growth. The data used in this study is secondary data (periodical data) in the period of observation 1996-2014 obtained from the World Bank and Statistics of Indonesia. To identify the influence of the variables used in this study used the VAR (Vector Autoregression) method. The results of this study show that equation regression shows that FDI (-1) has a negative influence on economic growth and FDI (-2) has a positive effect on economic growth, INF (-1) and INF (-2) have positive effects on economic growth , Variable NX (-1) has a positive effect on economic growth but NX (-2) has a negative effect on economic growth, and GE variable (-1) has a positive effect on economic growth while GE (-2) has a negative effect on growth Economy.


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