Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

Khan, Muhammad Azhar; Khan, Muhammad Zahir; Zaman, Khalid; Hassan, Usman; Umar, Sobia

doi:10.1007/s11135-013-9912-7

Cited by 28 publications

(20 citation statements)

References 24 publications

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“…Poverty trap is another factor that largely drains the human capital resource because of a vicious cycle of poverty. The earlier studies on poverty reduction and emphasis to make growth more 'pro-poor' based on growth-inequality-poverty (GIP) triangle, for instance, Kakwani and Pernia (2000), Bourguignon (2004), Klasen and Misselhorn (2008), Kakwani et al (2010), Khan et al (2014), Kakwani et al, (2018), Zaman et al (2019), etc. These studies argued that poverty is the function of economic growth and income inequality, i.e., higher the country's economic growth (or household income), lesser will be the poverty headcounts or vice versa.…”

Section: Methodsmentioning

confidence: 99%

Does communicable diseases (including COVID-19) may increase global poverty risk? A cloud on the horizon

Anser

Yousaf²,

Khan

et al. 2020

Environmental Research

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Coronavirus epidemic can push millions of people in poverty. The shortage of healthcare resources, lack of sanitation, and population compactness leads to an increase in communicable diseases, which may increase millions of people add in a vicious cycle of poverty. The study used the number of factors that affect poverty incidence in a panel of 76 countries for a period of 2010-2019. The dynamic panel GMM estimates show that the causes of death by communicable diseases, chemical-induced carbon and fossil fuel combustion, and lack of access to basic hand washing facilities menace to increase poverty headcounts, whereas, an increase in healthcare expenditures substantially decreases poverty headcounts across countries. Further, the results show the U-shaped relationship between economic growth and poverty headcounts, as economic growth first decreases and later increase poverty headcount due to rising healthcare disparities among nations. The causality estimates show that lack of access to basic amenities lead to increase of communicable diseases including COVID-19 whereas chemical-induced carbon and fossil fuel emissions continue to increase healthcare expenditures and economic growth in a panel of selected countries. The rising healthcare disparities, regional conflicts, and public debt burden further 'hold in the hand' of communicable diseases that push millions of people in the poverty trap. 'D' is a disease, and '19′ shows 2019, as its first time visible at the end of December 2019. The COVID belongs to the viruses' family that comes across visible by common cold and respiratory diseases, which caused severe illness. The severity of this pandemic could get analyzed by the two common respiratory syndromes that seemed like COVID-19, i.e., "Severe Acute Respiratory Syndrome (SARS)" and the "Middle East Respiratory Syndrome (MERS)". The mutant form of this corona is also called "novel coronavirus" that officially declared to The Chinese government on January 7, 2020 and since named SARS-CoV-2 (Aljazeera, 2020). This virus spread through human-to-human transmission, coughing, sneezing, touching, etc., which shows the following symptoms, i.e., fever, shortage of breathing, coughing, etc. The more severity of illness leads to pneumonia, multiple organ failure and even death. The symptoms of this virus could be asymptomatic in infected peoples; however, usually, its symptoms could visible within 5-6 days that prolong up to 14-20 days. The COVID-19 is highly deadly virus especially for the older age population, the median the range above 60, and poor immune persons that already suffered from some underlying medical problems, including cancer, heart patients, diabetic, and severe respiratory problems (WHO, 2020). The prevention measures of the novel coronavirus are at two different levels, first an individual level,

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Section: Methodsmentioning

confidence: 99%

Does communicable diseases (including COVID-19) may increase global poverty risk? A cloud on the horizon

Anser

Yousaf²,

Khan

et al. 2020

Environmental Research

Self Cite

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“…Many empirical papers, focused on economic growth and its influence on inequalities and poverty, confirmed that tendencies vary across countries (Funke and Strulik, 1999;Ravallion, 2001;Dollar and Kraay, 2002;Adams, 2004;Iradian, 2005, Ravallion, 2005Tridico, 2010;Khan et al, 2013;Leitner and Stehrer, 2014). The existing knowledge obtained from research and literature shows that answering these questions is of great importance for development strategies, distributional policies, regional development, and especially for poverty reduction.…”

Section: Theoretical Basis and Methodologymentioning

confidence: 97%

“…(Chemli and Smida, 2013). Despite this, in a study which analysed 138 countries, Khan et al . (2013) confirmed the basic idea of the Bourguignon model, i.e.…”

Section: Bourguignon's Pgi Hypothesismentioning

confidence: 99%

“…They also argue that the model's simple nature means that it does not include other principal factors which impact poverty. An interesting opinion states that poverty itself might be considered as a barrier of economic growth which means that the model should consider this alternative as well (Khan et al, 2013). Many experts, not only economists, assume that there is a strong correlation between education, literacy rate, and poverty, and that it is thus necessary to consider these and other aspects of human development (apart from inequalities and growth) when reducing poverty.…”

Section: Bourguignon's Pgi Hypothesismentioning

confidence: 99%

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Economic Growth, Inequalities and Poverty in Slovakia from 2005 to 2015 (the Analysis of Relations and Contexts at a Regional Level)

Michálek

Výbošťok

2018

ESR&P

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Abstract Poverty rate is influenced by numerous factors. The determining ones are economic growth and the distribution of its effects. This article is therefore focused on the analysis of these effects and their relationship, as well as their influence on poverty at a regional level (NUTS 3, ‘kraj’). For the analysis of interactions between growth and distribution in correlation to poverty reduction, the Bourguignon model (the Poverty-Growth-Inequality triangle) and the growth incidence curve (GIC) were used. It was found that economic growth positively influences income inequalities as well as decreases the share of population under the poverty threshold in all regions. However, the development differs across regions. Based on the development and tendencies of the gross domestic product (GDP), income distribution and poverty it is obvious that economically strong regions (or their populations) dealt better with poverty during the crisis period.

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“…Several studies have been published on this three‐pronged relationship (de Janvry & Sadoulet, 2000; Khan, Khan, Zaman, Hassan, & Umar, 2014). However, there is still some debate on the issue, with some studies considering that growth is indeed pro‐poor (Ravallion & Chen, 2003), others imposing some constraints to this conclusion (Kraay, 2006), and others still who are very skeptical about it (Herzer & Vollmer, 2013).…”

Section: Main Research Topics On Poverty: a Reviewmentioning

confidence: 99%

The Focus on Poverty in the Most Influential Journals in Economics: A Bibliometric Analysis of the “Blue Ribbon” Journals

Cardoso

Teixeira

2020

Poverty & Public Policy

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Scientific publications tend to influence policymakers significantly. Despite the scientific and social importance of poverty today, the attention the top economic journals (American Economic Review; Econometrica; International Economic Review; Journal of Economic Theory; Journal of Political Economy; Quarterly Journal of Economics; Review of Economic Studies) pay to the matter is not clear, particularly in the so‐called “Blue Ribbon” journals (and Review of Economics and Statistics). On the basis of bibliometric techniques, we analyzed all 27,322 articles published in the “Blue Ribbon” journals from 1970 to 2018. This is the first study on the scientific attention paid to poverty by the most influential journals in the field of economics. Two main findings can be highlighted: (i) the scientific attention paid to poverty in the Blue Ribbon journals is relatively meager, but it has observed a positive trend, increasing from a modest 0.36 percent of the total articles published in the 1970s to 1.92 percent of total publications in the 2010s; and (ii) the relative weight of specific poverty subtopics has significantly changed over the last 50 years, shifting from a focus on defining and measuring poverty in the earlier decades to policy‐related issues in the most recent period (2000 onward).

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Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

Cited by 28 publications

References 24 publications

Does communicable diseases (including COVID-19) may increase global poverty risk? A cloud on the horizon

Does communicable diseases (including COVID-19) may increase global poverty risk? A cloud on the horizon

Economic Growth, Inequalities and Poverty in Slovakia from 2005 to 2015 (the Analysis of Relations and Contexts at a Regional Level)

The Focus on Poverty in the Most Influential Journals in Economics: A Bibliometric Analysis of the “Blue Ribbon” Journals

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