Effective COVID-19 Management Prerequisites: National Culture, Governance, Human Development, and Income Inequality

The chapter examines the income inequality and social exclusion in Nigeria. The gap between the haves and have-nots has become an issue of concern in Nigeria. This chapter, therefore, seeks to examine a methodical approach for measuring inequality in Nigeria; Nigeria's ranking in human development index (between 1990 and 2017); trends in inequality, poverty, unemployment, and life expectancy from 1980 to 2017; and the income inequality in Nigeria relative to other Sub-Saharan African countries along with sex disaggregated HDI relative to other Sub-Saharan African countries and the implications to social policy reforms.

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Economic Complexity and the Mediating Effects of Income Inequality: Reaching Sustainable Development in Developing Countries

Sustainability ◽

10.3390/su12052089 ◽

2020 ◽

Vol 12 (5) ◽

pp. 2089 ◽

Cited By ~ 3

Author(s):

Emilie Le Caous ◽

Fenghueih Huarng

Keyword(s):

Sustainable Development ◽

Developing Countries ◽

Energy Consumption ◽

Income Inequality ◽

Human Development ◽

Gender Inequality ◽

Primary Concern ◽

Mediating Effects ◽

Economic Complexity ◽

Country Level

According to the United Nations Development Program, sustainable development goals are fundamental for attaining a better and more sustainable future for all of us, and are a primary concern today. New indicators, such as the Economic Complexity Index (i.e., ECI), can be used to predict human development index (i.e., HDI). To be defined as a complex economy, a country, through a vast network of individuals, should be able to interlink extensive quantities of relevant knowledge to create diversified products. Political, cultural, and environmental factors should also be included in this model to improve the measurement of human development. This paper aimed to study the relationship between the ECI and HDI and the mediating effects of income inequality among developing countries. Hierarchical linear modeling was used as a statistical tool to analyze 87 developing countries from 1990 to 2017, which also studied the country-level effects of gender inequality and energy consumption. Different year lags were used for more robustness. The results show that human development increased with higher economic complexity. This relationship was, however, partially mediated by income inequality. Country-level predictors, gender inequality, and energy consumption also impacted sustainable development. Finally, it is essential to note that this model cannot be applied to developed economies.

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Nexus Between Globalization, Income Inequality and Human Development in Indonesian Economy: Evidence from Application of Partial and Multiple Wavelet Coherence

Social Indicators Research ◽

10.1007/s11205-019-02178-w ◽

2019 ◽

Vol 147 (3) ◽

pp. 723-745 ◽

Cited By ~ 1

Author(s):

Muhammad Haseeb ◽

Tulus Suryanto ◽

Nira Hariyatie Hartani ◽

Kittisak Jermsittiparsert

Keyword(s):

Income Inequality ◽

Human Development ◽

Wavelet Coherence ◽

Multiple Wavelet Coherence

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A World of Homicides

Homicide Studies ◽

10.1177/1088767912442500 ◽

2012 ◽

Vol 16 (3) ◽

pp. 238-258 ◽

Cited By ~ 58

Author(s):

Marc Ouimet

Keyword(s):

Developing Countries ◽

Economic Development ◽

Income Inequality ◽

Infant Mortality ◽

Socioeconomic Factors ◽

Human Development ◽

Homicide Rate ◽

Regression Analyses ◽

Medium Level

The current study contrasts and compares the role of socioeconomic factors that explain variations in the homicide rate for 165 countries in 2010. Regression analyses demonstrate that economic development (GNI), inequality (Gini), and poverty (excess infant mortality) are significant predictors of the homicide rate for all countries. However, subsample analyses shows that income inequality, not economic development or poverty, predicts homicide for countries with a medium level of human development. Also, the variations in homicide for developing countries are inadequately explained by our model. To conclude, an analysis of the countries that exhibited significant discrepancies between their predicted and observed homicide rate is discussed.

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The association of major depressive episodes with income inequality and the human development index

Social Science & Medicine ◽

10.1016/j.socscimed.2008.04.003 ◽

2008 ◽

Vol 67 (4) ◽

pp. 529-539 ◽

Cited By ~ 63

Author(s):

Manuel Cifuentes ◽

Grace Sembajwe ◽

SangWoo Tak ◽

Rebecca Gore ◽

David Kriebel ◽

...

Keyword(s):

Income Inequality ◽

Human Development ◽

Human Development Index ◽

Major Depressive ◽

Development Index ◽

Major Depressive Episodes ◽

Depressive Episodes

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Analisis Faktor-faktor yang Mempengaruhi Tingkat Pertumbuhan Ekonomi di Indonesia

SERAMBI: Jurnal Ekonomi Manajemen dan Bisnis Islam ◽

10.36407/serambi.v2i3.207 ◽

2020 ◽

Vol 2 (3) ◽

pp. 169-176

Author(s):

Puji Yuniarti ◽

Wiwin Wianti ◽

Nandang Estri Nurgaheni

Keyword(s):

Economic Growth ◽

Income Inequality ◽

Human Development ◽

Unemployment Rate ◽

Human Development Index ◽

Secondary Data ◽

Participation Rate ◽

Poverty Level ◽

Development Index ◽

Growth Methods

Purpose- This study aims to determine the factors of economic growth in 34 provinces in Indonesia. The variables used include labor force participation rate, human development index, Poverty Level, unemployment rate, income inequality, and economic growth. Methods- Secondary data from the Central Bureau of Statistics were processed using multiple linear regression. Findings- The study show that only force participation rate and unemployment rate were proven to significantly affect economic growth, while human development index, poverty level, and income inequality were not statistically significant. Implications- This study can provide important information on the factors shaping economic growth as a basis for future decision making. Abstrak Tujuan- Penelitian ini bertujuan untuk mengetahui faktor-faktor pertumbuhan ekonomi di 34 provinsi di Indonesia. Variabel yang digunakan antara lain tingkat partisipasi angkatan kerja, indeks pembangunan manusia, tingkat kemiskinan, tingkat pengangguran, ketimpangan pendapatan, dan pertumbuhan ekonomi. Metode- Data sekunder dari Badan Pusat Statistik diolah dengan menggunakan regresi linier berganda. Temuan- Studi tersebut menunjukkan bahwa hanya tingkat partisipasi angkatan dan tingkat pengangguran yang terbukti secara signifikan mempengaruhi pertumbuhan ekonomi, sedangkan indeks pembangunan manusia, tingkat kemiskinan, dan ketimpangan pendapatan tidak signifikan secara statistik. Implikasi- Studi ini dapat memberikan informasi penting tentang faktor-faktor yang membentuk pertumbuhan ekonomi sebagai dasar pengambilan keputusan di masa depan

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SEGITIGA KEMISKINAN-PERTUMBUHAN-KETIMPANGAN (PGI TRIANGLE): PEMBANGUNAN KEUANGAN, PEMBANGUNAN MANUSIA, DAN KETIMPANGAN PENDAPATAN DI ASIA

Jurnal Ekonomi Pembangunan ◽

10.14203/jep.28.2.2020.77-89 ◽

2020 ◽

Vol 28 (2) ◽

pp. 77-89

Author(s):

Rivanda Fadhila Indra Putra ◽

Vera Lisna

Keyword(s):

Income Inequality ◽

Human Development ◽

Financial Development ◽

Low Income ◽

Random Effect ◽

Random Effect Model ◽

Financial Sector ◽

Fixed Effect Model ◽

Effect Model ◽

Panel Data Regression

One of the issues faced by countries in asia is income inequality. Economic development is expected to improvepeoples living standards to minimize the gap between low-income and high-income populations. One of economicdevelopment is through financial development. The financial sector plays an important role in the economy of acountry, the development of the financial sector will indirectly increase the output of other sectors so as to tie thevalue of the gross domestic product (gdp). In addition to equality and economic growth, economic developmentalso needs to see whether the two are related to human development as described in the poverty-growth-inequality triangle (pgi triangle). The purpose of this study is to see a picture of the inequality of income distribution, financial development and human development in six asian countries. The analysis used descriptive statistics and panel data regression, specifically fixed effect model (fem) and the random effect model (rem). The result showed that there is a significant influence between financial development and human development on income inequality, the higher the financial development will reduce the level of inequality of a country. Meanwhile, the high value of human development actually increases inequality.

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Conceptualising the Linkages between Financial Development, Human Development, and Income Inequality: Cross-Country Evidences

GIS Business ◽

10.26643/gis.v13i5.3268 ◽

2018 ◽

Vol 13 (5) ◽

pp. 12-20

Author(s):

Avisek Sen ◽

Arindam Laha

Keyword(s):

Income Inequality ◽

Human Development ◽

Financial Development ◽

Financial Sector ◽

Well Being ◽

Inclusive Development ◽

World Government ◽

Distribution Of Wealth ◽

The People ◽

The Government

In the present era of finance capitalism, it is a great challenge for any country to strengthen its financial sector so as to realise the vision of financial inclusive society. Beside this major challenge, the government has to ensure the well-being of the society. Well-being of the society is not only indicated by the income level of an individual, but also by the noneconomic factors like health and education level of the people. But now-a-days, more and more emphasis is given on the concept of well-being of the population in the context of limiting role of GDP in ensuring equitable distribution of wealth. Formulation of a policy in achieving both the policy objectives (i.e., development of financial sector and ensuring well-being of the population) essentially calls for an understanding on the linkages between financial development and well-being of the population. In this context, this paper attempts to develop a conceptual framework on the linkages between the financial development and the human well-being in the context of inclusive development paradigm. In addition, this paper also tries to conceptualise the theoretical framework on the implications of financial development and/or human well-being on the level of income inequality or the other way round. The empirical analysis in this paper shows that there is positive and significant bidirectional relationship between the financial development and human development across selected countries of the world. Government intervention in the development in the financial sector (or achieving a higher level of well-being of the population) can also reduce the extent of inequality in the distribution of income.

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