How does economic complexity influence income inequality? New evidence from international data

2020 ◽  
Vol 68 ◽  
pp. 44-57 ◽  
Author(s):  
Lan Khanh Chu ◽  
Dung Phuong Hoang

Author(s):  
Julio Pindado ◽  
Luis Fernandes Rodrigues ◽  
Chabela de la Torre






2012 ◽  
Vol 31 (4) ◽  
pp. 764-773 ◽  
Author(s):  
Daniel Stockemer ◽  
Lyle Scruggs


Author(s):  
Romuald Brunner ◽  
Kathrin Mikan ◽  
Maximilian Niebler ◽  
Stephanie Kandsperger

Non-suicidal self-injury (NSSI) is a clinically relevant symptom with high prevalence in teenagers and young adults worldwide. NSSI is associated with a variety of psychiatric disorders, is known to cause serious harm and acts as predictive factor for suicidal ideation and suicide attempts. Social and biological risk factors play an important role in the onset and maintenance of NSSI. Various terms are used in the world-literature for the study of self-injurious behaviour (SIB). These inconsistencies have to be taken into account in the assessment of recent and current international data. Along with further clarifying the different terms of SIBs, there is yet an urgent need to further examine contributing neurobiological factors, develop innovative international valid methods of risk-assessments, and to develop new evidence-based treatment approaches, as well as prevention strategies that consider neurobiological findings.



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.



2017 ◽  
Vol 65 ◽  
pp. 119-128 ◽  
Author(s):  
Tom Kennedy ◽  
Russell Smyth ◽  
Abbas Valadkhani ◽  
George Chen


2019 ◽  
Vol 46 (3) ◽  
pp. 760-776 ◽  
Author(s):  
Aswini Kumar Mishra ◽  
Anil Kumar ◽  
Abhishek Sinha

Purpose Though Indian economy since 1980s has expanded very rapidly, yet the benefits of growth remain very unequally distributed. The purpose of this paper is to provide new evidence about the shape, intensity and decomposition of inequality change between 2005 and 2012. The authors find that Gini, as a measure of income inequality, has increased irrespective of geographic regions. Design/methodology/approach Based on a recent distribution analysis tool, “ABG,” the paper focuses on local inequality, and summarizes the shape of inequality in terms of three inequality parameters (α, β and γ) to examine how the income distributions have changed over time. Here, the central coefficient (α) measures inequality at the median level, with adjustment parameters at the top (β) and bottom (γ). Findings The results reveal that at the middle of distribution (α), there is almost the same inequality in both the periods, but the coefficients on the curvature parameters β and γ show that there is increasing inequality in the subsequent period. Finally, an analysis of decomposition of inequality change suggests that though income growth was progressive, however, this equalizing effect was more than offset by the disequalizing effect of income reranking. Research limitations/implications This paper shows how it can be possible both for “the poor” to fare badly relatively to “the rich” and for income growth to be pro-poor. Practical implications This paper stresses the significance of inequality reduction. Social implications Inequality reduction is very much imperative in ending poverty and boosting shared prosperity. Originality/value Perhaps, this research work is first of its kind to examine the shape and decomposition of change in income inequality in India in recent years.



1998 ◽  
Vol 61 (3) ◽  
pp. 365-372 ◽  
Author(s):  
Andreas Savvides


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