Wage Share as a Factor of Income Inequality in the Context of the Structure of National Economy

Mihņenoka, Aleksandra; Šenfelde, Maija

doi:10.1016/s2212-5671(15)00927-2

Cited by 5 publications

(4 citation statements)

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“…However, income inequality is the most commonly used metric. The income inequality analysis consists of studying income distribution disparity between countries or social groups (Mihnenoka & Senfelde, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Eradicating Income Inequality in Lower Middle-Income Countries

Pratysto

Panjaitan

2020

JEP

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Studying the distribution of income is an important issue to know what factors which affect to make income distribution more equitable, what factors can be the key to resolving the problem of income inequality, and shortening the distance between the poor and the rich. This paper studies the relationship between human capital, inflation rate, unemployment rate, physical capital, fiscal expenditure, gross domestic product growth, and urbanization on income inequality in 52 Lower Middle-Income Countries throughout 1990-2014. The authors estimate the impact of seven independent variables on income inequality as a dependent using Prais-Winsten with the robust model over period 1990-2014 at 52 Lower Middle-Income Countries. The results indicate an increase in human capital (gross school enrollment tertiary) can make the income distribution more even in the long run. The writers conclude that increases in human capital can reduce Gini coefficient and hence make income distribution fairer.

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Section: Introductionmentioning

confidence: 99%

“…analyzes inequality income in Thailand in the period2000-2009. Then, Shahpari & Davoudi (2014 explain equality of income in Iran over the period1969-2007. Mihnenoka & Senfelde (2015 in the European Union in2008-2012.…”

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confidence: 99%

Eradicating Income Inequality in Lower Middle-Income Countries

Pratysto

Panjaitan

2020

JEP

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“…El estudio de la desigualdad y la participación del trabajo en el ingreso ha pasado también al análisis sectorial, el cual se realizará más adelante. Con esta premisa, Mihnenoka y Senfelde (2015) estudian la participación de los salarios en los países de la Unión Europea dividiendo sus economías en tres sectores: agricultura, manufactura y servicios; se centran en analizar la evolución de la estructura salarial en estos sectores y en cómo esta distribución afecta las condiciones de desigualdad en el marco de los años siguientes a la crisis del 2008. De acuerdo con la investigación, la participación salarial en los sectores de la agricultura es la mayor con respecto a los demás, en los cuales la participación se ha reducido debido a la automatización de los procesos productivos.…”

Section: Sección 2: Marco Teóricounclassified

Impacto del factor trabajo en el PIB en Colombia : una transición hacia un mayor nivel de desigualdad

Ibáñez¹

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El presente documento analiza la relación existente entre el fenómeno de la desigualdad y la participación del factor trabajo en el producto nacional, con el fin de determinar si este último es un elemento que podría afectar la situación socioeconómica de una nación en términos de desigualdad en el ingreso. Se evalúa la participación del factor trabajo dentro de la renta nacional, rescatando su desempeño histórico tanto a nivel nacional como internacional. Para lo anterior, se utiliza información asociada a la economía colombiana, proveniente del Departamento Administrativo Nacional de Estadística (DANE) para la construcción de un modelo de tipo Vectores Autoregresivos (VAR) con restricciones de signo, que encuentra el grado de respuesta entre las dos variables previamente mencionadas junto con sus posibles efectos sobre el nivel de desempleo e la inflación. Se demuestra de manera robusta que las tendencias a la baja evidenciadas en la participación del factor trabajo en la renta nacional se encuentran relacionadas con un mayor nivel de desigualdad en el ingreso; de manera análoga, mayores niveles de participación del factor trabajo representan reducciones en el nivel de desigualdad. Palabras clave: Desigualdad, renta nacional, trabajo, capital, crisis económica, Colombia, Vectores autorregresivos, financiarización. Clasificación JEL: D63, E01, J01, D24, H12, C32

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“…The labour force with a strong representation of revenue profile, with a smaller proportion of wage resources, is connected to the market's ability to drastically decrease agriculture wages compared to other marketplaces (Valdés, 2020). According to the employment structure, levels of weighted pay share were the lowest in agriculture and the greatest in the service sector before Covid-19 (Mihnenoka & Senfelde, 2015). The drop mainly influenced the change in the aggregate wage share in the primary and secondary sectors, mainly based on a decrease in employed individuals.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Pandemic and Agricultural SMEs of Central Europe: A Forecast Study to Evaluate the Performance Indicators

Sufyan¹,

Imran²,

Tajammul³

et al.

International Scientific Conference INPROFORUM

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COVID-19 is a global pandemic that has tangible effects on the agricultural economy. This study investigated the effects of COVID-19-related events in Central European agriculture, forestry, and fisheries, as well as the future of the economy of agricultural Small and medium-sized enterprises (SMEs). SMEs. The data for agricultural SMEs in Austria, Czechia, Germany, Hungary, Poland, Slovakia, and Switzerland was obtained from the Eurostat database, and the duration of the data was from 2011 to 2021. The number of employees, labour force input, Gross Domestic Product (GDP), wages and salaries, value-added, and agricultural output was the performance metrics considered in this study. Data from this study revealed that agricultural SMEs in Poland, Switzerland, and Germany produced less employment than in the other Central European countries, although Hungary's labour force input was more affected. During the COVID pandemic, GDP in Hungary and Slovakia dropped significantly. Wages and salaries in Germany and Poland fell, while value-added and agricultural output fell in Germany, Hungary, and Slovakia. Employment in Poland and Germany is expected to fall until 2025, while labour force input in Germany, Poland, and Hungary may drop. Wages and salaries, as well as agricultural output in all of the addressed countries, may rise, while GDP may fall. In conclusion, the COVID-19 pandemic had a detrimental impact on agricultural output, labour force input, employment, GDP, value-added, earnings, and salaries in SMEs of Central European countries. The pandemic regulations and restrictions disrupted the market distribution network, causing a stop in production, transportation, and a scarcity of labour and materials.

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Wage Share as a Factor of Income Inequality in the Context of the Structure of National Economy

Cited by 5 publications

References 5 publications

Eradicating Income Inequality in Lower Middle-Income Countries

Eradicating Income Inequality in Lower Middle-Income Countries

Impacto del factor trabajo en el PIB en Colombia : una transición hacia un mayor nivel de desigualdad

COVID-19 Pandemic and Agricultural SMEs of Central Europe: A Forecast Study to Evaluate the Performance Indicators

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