The Effect of Knowledge Economy Factors on Income Inequality in the Selected Islamic Countries

Abolfazl, Shahabadi; Nemati, Morteza; Hosseinidoust, Seyed Ehsan

doi:10.1007/s13132-016-0431-3

Cited by 18 publications

(9 citation statements)

References 19 publications

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“…Therefore, the most important finding of this study is that if a country can make income distribution more, health expenditure will continue to grow. At the discussion on improving income inequality, Shahabadi et al (2017) mention that knowledge economy factors can benefit income inequality. Younsi and Bechtini (2020) believe that sustained economic growth and financial development can mitigate income inequality, while Kaidi and Mensi (2020) suggest that in addition to financial development, an excellent democratic political system can also improve income inequality.…”

Section: Resultsmentioning

confidence: 99%

Quantile panel-type analysis for income inequality and healthcare expenditure

Wang

Thi

2021

Economic Research-Ekonomska Istraživanja

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This study investigates the causal relationship between Income Inequality and Healthcare Expenditure within a quantile panel-type causality framework using yearly panel data from 2004 to 2017. The empirical results show that within the high-growth regime of health expenditure to income ratio, reducing the deterioration of income inequality can make the ratio of health expenditure to income keep increasing. Besides, within the extreme income inequality regime, the ratio of health expenditure to income continues to increase, which can reduce the deterioration degree of income inequality. This paper presents evidence that to improve the continuous deterioration of income inequality; it should focus on the continuous increase in the ratio of health expenditure to income, not just the continuous increase in health expenditure. Accordingly, policy-makers should be cautious about the momentum between the ratio of health expenditure to income and income inequality when they reach the extremely quantiles.

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Section: Resultsmentioning

confidence: 99%

Quantile panel-type analysis for income inequality and healthcare expenditure

Wang

Thi

2021

Economic Research-Ekonomska Istraživanja

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“…In particular, two common educational policies (i.e., scholarships and unstructured training) could be implemented to favour creativity in the long run. However, creative workers (i.e., individuals who use information to solve problems and advance their organisation's goals) are increasingly needed by the modern knowledge-based economy (Shahabadi, Nemati, & Hosseinidoust, 2017), and creativity measurements are often based on performance of tasks (participants perform a creative task, either verbal or graphical) and rating scales (evaluations by the creative person or others) by focusing on the process, product, person or place (Haase, Hoff, Hanel, & Innes-Ker, 2018).…”

Section: Discussionmentioning

confidence: 99%

Scholarships versus training for happiness gained from an education in creativity: A dynamic analytical model

Zagonari

2019

Higher Education Quarterly

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This paper presents a mathematical model of the dynamic interrelationships between education, creativity and happiness based on both theoretical insights and evidence from recent empirical neurological studies. In this context, the results are conditional on an individual’s learning effort and risk‐aversion. Specifically, I focus on two main determinants of creativity (divergent and convergent thinking) and compare two main educational policies (scholarships versus unstructured training) with regard to their impacts on the happiness gained from creativity in the general and healthy population. A test is provided by matching the model’s predictions with the results of recent neuroscience research. Numerical simulations suggested that improving convergent thinking is more important than improving divergent thinking for creativity to generate happiness throughout an individual’s life, provided that both divergent and convergent thinking have been achieved to a sufficiently large degree, and that unstructured training (i.e., extra‐curricular activities) in divergent thinking (e.g., in accounting schools) is necessary to reach wealthier students who have more difficulty learning. In contrast, scholarships or unstructured training in convergent thinking (e.g., in art schools) are necessary to reach students who learn easily but who are less wealthy.

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“…Por lo tanto, se considera, al igual que a diversos actores, al nivel educativo como una pieza fundamental para determinar el ingreso personal mensual. Diversos autores mencionan que al invertir en capital humano (educación y habilidades para el aprendizaje) se puede mejorar el ingreso y es considerada una de las formas más efectivas para reducir la desigualdad en el ingreso en el largo plazo (Jaumotte, Lall y Papageorgiou, 2008;Abdullah, Doucouliagos y Manning, 2011;Gruber y Kosack, 2013;Shahabadi et al, 2016). Además, se considera que un mayor nivel de educación permite un uso efectivo de la tecnología, lo que le otorga a su vez al individuo la posibilidad de acceder a diferentes sectores de la producción e incrementar su ingreso (Islam y Slack, 2016).…”

Section: Discussionunclassified

Análisis de aspectos tecnológicos y educativos que influyen en el ingreso económico en México

García

2019

RIDE

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El uso generalizado de las tecnologías de la información y comunicación (TIC) ha ocasionado cambios en todas las actividades del ser humano. Dichas transformaciones se expresan de forma especial en los ámbitos educativo y laboral debido a que se encuentran interrelacionados. Diversos factores influyen en el ingreso económico: el nivel académico, la edad y, precisamente, las habilidades en las TIC, entre otros. El objetivo de la presente investigación fue analizar la influencia de aspectos tecnológicos y educativos en el ingreso económico en México con la finalidad de determinar la importancia de estos y así identificar las habilidades que deben desarrollar los individuos para el ambiente laboral. La investigación es transversal. Los datos se obtuvieron mediante una encuesta semiestructurada y se analizaron a través de una regresión lineal múltiple utilizando el método de mínimos cuadrados ordinarios. En los resultados se encontró que la edad, el uso de redes sociales y el nivel académico (0.50, 0.25, 0.24, respectivamente) son las variables que más influyen positivamente en el ingreso económico de los estudiantes que trabajan. Se concluye que es importante mejorar el nivel educativo y las habilidades en las TIC de la población, pues esto permitirá a los individuos incrementar su ingreso, lo cual coadyuvará a la disminución de la desigualdad.

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The Effect of Knowledge Economy Factors on Income Inequality in the Selected Islamic Countries

Cited by 18 publications

References 19 publications

Quantile panel-type analysis for income inequality and healthcare expenditure

Quantile panel-type analysis for income inequality and healthcare expenditure

Scholarships versus training for happiness gained from an education in creativity: A dynamic analytical model

Análisis de aspectos tecnológicos y educativos que influyen en el ingreso económico en México

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