scholarly journals INEQUALITY OF HOUSEHOLD INCOME IN INVOLUNTARY RESETTLEMENT AT KOTO PANJANG

2019 ◽  
Vol 4 (2) ◽  
pp. 157
Author(s):  
UTRI SAFRI YETMI ◽  
FERY ANDRIANUS ◽  
ZULKIFLI N
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Analytical Tool ◽  
Primary Data ◽  
Dam Construction ◽  
Involuntary Resettlement ◽  
New Location

This research examined inequality of household income transferred due to the construction involuntary resettlement of the Koto Panjang dam in Kampar District, Riau Province. Dam construction caused the displaced of the households in the location. The households received compensation in the form of buildings and land. Even though the displaced household received the same compensation but some households had better lives while others were worse. This condition showed the inequality of household income in the new location. This study used primary data that obtained through questionnaires in 3 sub-districts of 10 villages. The analytical tool used to see the income inequality was the Gini ratio. This study found that the inequality of household income transferred in Koto Panjang was moderate. This showed that the households that have been moved due to the construction of the Koto Panjang Dam have been quite good compared to before.

scholarly journals Income differentiation of agricultural households in regions of Czech Republic

2012 ◽  
Vol 60 (2) ◽  
pp. 285-292
Author(s):  
Zuzana Procházková ◽  
Aleš Peprný ◽  
Radmila Presová
Keyword(s):  
Czech Republic ◽  
Income Inequality ◽  
Household Income ◽  
Standard Of Living ◽  
Primary Data ◽  
Poverty Level ◽  
Average Income ◽  
The Czech Republic ◽  
Agricultural Households ◽  
Household Members

The Czech Republic has recently experienced phases of economic growth and periods of economic crisis. This fact affects the standard of living and household behaviour and affects the formation of life-style. This paper deals with the income situation of households. The main source of data is EU SILC survey from the years 2005 to 2008. The result of the enquiry and processing of primary data is information about the average income per household member, the poverty level and the number of households at risk of poverty. For the formulation of income differentiation is used Gini coefficient. Attention is paid to factors that affect income inequality (the number of household members, social group, and age). The analysis and subsequent problem solving of income inequality may be contributed with further analysis of empirical data of this type. Household income is one of the decisive factors determining the style of family life, their priorities, meeting their needs, and ensure-time activities. Differences between regions determine preferences and identify opportunities.

Socio economic determinants of child labour in selected districts of Khyber Pakhtunkhwa, Pakistan

2018 ◽  
Vol 2 (1) ◽  
pp. 47-60
Author(s):  
Nabeela Begum ◽  
Javed Iqbal ◽  
Hina
Keyword(s):  
Labour Market ◽  
Family Size ◽  
Household Income ◽  
Child Labour ◽  
Primary Data ◽  
Economic Determinants ◽  
Khyber Pakhtunkhwa ◽  
Socioeconomic Characteristics ◽  
Education Organization ◽  
Children Education

This study examines the determinants of child labour in Mardan and Nowshera districts of Khyber Pakhtunkhwa. Primary data on socioeconomic characteristics of children engaged and did not engage in child labour were obtained from Labour Education Organization Mardan. Age of the children and family size are positively and education is negatively and significantly associated with the probability of children participation in labour market. The probability of child labour is more with the household income although with a very low coefficient value which is contrary to our expectations and may ne indicative that child labour could be a major source of household income. This study suggests that subsidies may be provided to families for their children education. Family size is also positively related to the child labour, therefore steps may be taken towards encouraging small family sizes and thereby reducing the child labour.

PENGARUH PENDAPATAN RUMAH TANGGA TERHADAP KONSUMSI DAGING (SAPI, BABI DAN AYAM ) DI DESA SEA I KECAMATAN PINELENG

ZOOTEC ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
Richie A.F. Osak ◽  
V V.J Panelewen ◽  
J. Pandey ◽  
I. D.R Lumenta
Keyword(s):  
Household Income ◽  
Household Head ◽  
Secondary Data ◽  
Meat Consumption ◽  
Research Problem ◽  
Chicken Meat ◽  
Primary Data ◽  
Survey Method ◽  
The Difference ◽  
The Village

ABSTRACT THE EFFECT OF HOUSEHOLD INCOME ON MEAT CONSUMPTION (BEEF, PORK AND CHIKEN) AT THE VILLAGE OF SEA I, PINELENG DISTRICT.This study aims to determine the magnitude of meat consumption (beef, porl and chiken) of household based on income levels in the Village of Sea I, Pineleng district and to determine the effect of household income on meat consumption (beef, porl and chiken) in the Village of Sea I, Pineleng district. Formulation of research problem is how much they purchased meat (beef, porl and chiken) consumption household in the Village of Sea I, Pineleng district. This study was conducted in the Village of Sea I, Pineleng district. Study was conducted using a survey method, and data were obtained through primary data and secondary data. Determination of the location (rural sample) in the study was conducted by purposive sampling method. Number of samples used in this study were 30 people. Data of this study were analyzed by descriptive and mathematical analysis methods. Income indicated the amount of income earned in a month household, whether they were from the household head or sourced from other household members who work and earn income. From the money earned, the highest number of respondents had incomes between 1.000.000 to 3.000.000/month with the percentage of 70 %, while the number of respondents with the smallest income was less than 1.000.000/month with the percentage of 16.67 %. The difference of income held by the respondents in the Village of Sea I, would have an impact on the amount of meat purchases each month. This was in accordance with the opinion Sukirno (2002) stating that most of the disposable income is used to buy food and clothing. Most of the meat consumed by people in the Village of Sea I was pork and chicken meat compared to beef, it was because the price of beef was relatively expensive compared to the price of pork and chicken meat. Based on research results, pork was the most meat consumed by family respondents about 21 families with the percentage of 70 % of respondents, followed by chicken meat about 18 families with the percentage of 60 % of respondents, and beef by 8 families with the percentage of 26 respondents, 67 % of domestic poultry and meat about 6 families with the percentage of 20 % of respondents. Based on the results of research, it can be concluded that household income significantly affect the consumption of meat in the Village of Sea I, Pineleng district and the average consumption of meat in the Village of Sea I, Pineleng district was about 8,9  kg/capita/year, below the national target of 10,3  kg/capita/year.   Key Words : Household income, meat consumption, Sea I Village.

Understanding Rising Income Inequality and Stagnating Ordinary Living Standards in Germany

2018 ◽  
Author(s):  
Gerhard Bosch ◽  
Thorsten Kalina
Keyword(s):  
Income Inequality ◽  
Labour Market ◽  
Economic Crisis ◽  
Household Income ◽  
Wage Bargaining ◽  
Living Standards ◽  
Social Model ◽  
Real Wages ◽  
The Impact ◽  
Over Time

This chapter describes how inequality and real incomes have evolved in Germany through the period from the 1980s, through reunification, up to the economic Crisis and its aftermath. It brings out how reunification was associated with a prolonged stagnation in real wages. It emphasizes how the distinctive German structures for wage bargaining were eroded over time, and the labour market and tax/transfer reforms of the late 1990s-early/mid-2000s led to increasing dualization in the labour market. The consequence was a marked increase in household income inequality, which went together with wage stagnation for much of the 1990s and subsequently. Coordination between government, employers, and unions still sufficed to avoid the impact the economic Crisis had on unemployment elsewhere, but the German social model has been altered fundamentally over the period

France

2018 ◽  
Author(s):  
Philippe Askenazy ◽  
Bruno Palier
Keyword(s):  
Income Inequality ◽  
Labour Market ◽  
Rapid Growth ◽  
Household Income ◽  
General Trend ◽  
Age Groups ◽  
Wage Growth ◽  
The Elderly ◽  
Wage Setting ◽  
Rich Countries

This chapter describes France as apparently one of the few rich countries to have avoided a significant increase in income inequality in recent decades. However, stable average inequalities mask an asymmetric trend of income between age groups, the elderly improving their situation while the young see theirs worsening. Furthermore, it shows that behind this relatively still surface, a general trend of precarization of more and more ordinary workers is occurring. The importance of wage-setting processes and of regulation of the labour market is brought out, together with the way the tax and transfer systems have operated, in restraining the forces driving inequality upwards. Wage growth, while limited, has thus been reasonably uniform across the distribution and together with the redistributive system have kept household income inequality within bounds. However, in response to high unemployment both regulatory and tax–transfer systems have served to underpin the very rapid growth in precarious working over the last decade, representing a very serious challenge for policy.

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

Changes in Income Distribution in Brazil

2018 ◽  
Author(s):  
Rodolfo Hoffmann
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Gini Index ◽  
Military Coup ◽  
Transfer Programs ◽  
Per Capita ◽  
The Government ◽  
The Military ◽  
The Impact ◽  
Very High

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.

scholarly journals Educational Assortative Mating and Household Income Inequality

2019 ◽  
Vol 127 (6) ◽  
pp. 2795-2835 ◽  
Author(s):  
Lasse Eika ◽  
Magne Mogstad ◽  
Basit Zafar
Keyword(s):  
Income Inequality ◽  
Assortative Mating ◽  
Household Income ◽  
Educational Assortative Mating

scholarly journals Male Income, Female Income, and Household Income Inequality in Israel: A Decomposition Analysis

2009 ◽  
pp. 34
Author(s):  
Ayal Kimhi
Keyword(s):  
Income Inequality ◽  
Gender Equality ◽  
Ethnic Minorities ◽  
Household Income ◽  
Decomposition Analysis ◽  
Female Education ◽  
Total Income ◽  
Good For ◽  
Income Variability ◽  
Positive Effect

Differentiating between the sensitivity of income inequality to male income and female income and decomposing inequality by income determinants, we find that total income inequality is less sensitive to female income variability or the level of female income, than to male income variability or the level of male income. Uniform increases in education reduce income inequality, with increases in female education having a larger effect than increases in male education. An increase in the population fraction of ethnic minorities has a positive effect on inequality, but this operates mostly through female income. All this suggests that female income is the most adequate target for inequality-reducing policy, and that within-household gender equality is good for reducing income inequality among households.

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