scholarly journals Linking Economic Complexity, Institutions, and Income Inequality

2017 ◽  
Vol 93 ◽  
pp. 75-93 ◽  
Author(s):  
Dominik Hartmann ◽  
Miguel R. Guevara ◽  
Cristian Jara-Figueroa ◽  
Manuel Aristarán ◽  
César A. Hidalgo





2020 ◽  
Vol 12 (5) ◽  
pp. 2089 ◽  
Author(s):  
Emilie Le Caous ◽  
Fenghueih Huarng

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.



2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Thobeka Ncanywa ◽  
Itumeleng P. Mongale ◽  
Ombeswa Ralarala ◽  
Thabiso E. Letsoalo ◽  
Brian S. Molele

Orientation: Economic complexity is a measure of productive capabilities indirectly by looking at the mix of sophisticated products that countries export. The economic complexity index proposed a proxy for diversity and ubiquity of products in the export basket.Research purpose: This study seeks to determine if economic complexity can influence the inequality measured by the Gini index in some selected sub-Saharan African countries.Motivation for the study: The need for the study emanates from the notion that that economic complexity can reduce income inequality hence it is imperative to investigate this relationship in the sub-Saharan African region where most countries produce few sophisticated goods that are also labour-intensive. Inadequate literature within the African continent has also contributed to the formulation of this study.Research approach/design and method: This study employed the autoregressive distribution lag (ARDL) model to analyze a panel data set, which includes eight sub-Saharan African countries for the period 1994–2017.Main findings: We found that economic complexity can reduce income disparities.Practical/managerial implications: Sub-Saharan African countries should shift their productive capabilities and resources from primary to sophisticated products in the manufacturing and services sector to increase economic complexity and reduce inequality.Contribution/value-add: The study makes an important contribution to the debate about the relationship between economic complexity and income inequality in the sub-Saharan African context and it is envisaged that it will inform the actions of the decision-makers to drive future productivity and prosperity in the region.





2018 ◽  
Vol 2 (3) ◽  
pp. 31-39
Author(s):  
Leila Sharif Moghadasi

The purpose of this study was to examine the effect of economic complexity and gross domestic product (GDP) on inflation rate and income inequality between 2002 and 2015. The statistical population of this research is Persian Gulf states, and independent variables are economic complexity and GDP and dependent variables are inflation rate and income inequality. The present research is an applied research and is essentially a descriptive research, and also in terms of methodology, it is considered as a correlational research. The theoretical literature and subjective history and research data collection had been done using library method and document mining method, respectively. Descriptive and inferential statistics have been used to describe and summarize the collected data. Firstly, variance heterogeneity pre-tests, F lemmer test, Hausman test and Jarque-Bera test were used to for analyzing data and then multivariate regression test and Eviews software were used to confirm and reject the research hypotheses. The results of the research show that economic complexity and GDP have a positive and significant effect on inflation rate, while economic complexity and GDP have a negative effect on income inequality.



2018 ◽  
Vol 33 (6) ◽  
pp. 542-554 ◽  
Author(s):  
Fadi Fawaz ◽  
Masha Rahnama-Moghadamm


Author(s):  
Sena Kimm Gnangnon

This paper has examined the effect of economic complexity on poverty in developing countries. The analysis has used a sample of 84 countries over the period 1980-2017. Results indicate that greater economic complexity results in lower poverty headcount rates. This is particularly the case for countries that enjoy higher economic growth rates, lower levels of income inequality and lower degrees of economic growth volatility, including due to lower sizes of export demand and financial flows shocks. These findings have important policy implications for developing countries that are exploring ways and means to recover from the current COVID-19 pandemic crisis, and prepare for future crises.



2021 ◽  
Vol 13 (2) ◽  
pp. 1006
Author(s):  
Margarida Bandeira Morais ◽  
Julia Swart ◽  
Jacob Arie Jordaan

Recent research on the effects of the productive structure of an economy has turned to examining whether economic complexity is associated with lower income inequality. In contrast to the commonly adopted approach that estimates the impact of economic complexity in a cross-country setting, we use panel data for Brazilian states to identify the relationship between economic complexity and income inequality at the sub-national level. Our findings show that the relationship between economic complexity and income inequality has an inverted U-shape, indicating that growing levels of complexity first worsen and then improve the income distribution in Brazilian states. Our findings also show that this relationship is particularly prominent in those states that have relatively high levels of urbanization and overall development. Furthermore, we identify separate effects on income inequality from the degree to which regional productive structures are characterised by diversity in terms of industries and occupations. These effects are particularly pronounced in less developed states with a more rural character. In combination, these findings confirm the important role that the productive structure plays in processes that drive improvements in income distributions and suggest that more research on this impact is warranted at the regional level.



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