Does population aging intensify income inequality? Evidence from China

Dong, Zhiqiang; Tang, Canqing; Wei, Xiahai

doi:10.1080/13547860.2017.1354270

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…The coefficient of population in model 1 might be interpreted as that one percent increase in population is expected to reduce income inequality for 5.75 percent. Dong et al (2018) argued that the increasing income inequality in China is associated with population aging. However, as in Indonesia, the impact of population is negative, thus Indonesia may benefit from its demographic structure since the number of young people in the population is higher than that of old people.…”

Section: Conducting Research and Resultsmentioning

confidence: 99%

Is foreign direct investment helpful to reduce income inequality in Indonesia?

Fazaalloh¹

2019

Economics &Amp; Sociology

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It is undeniable that foreign direct investments (FDI) are needed by many countries to push their economic growth. However, a trade-off between economic growth and income inequality, particularly in developing countries, frequently occurs. This paper examines the influence of FDI on income inequality in Indonesia. To estimate the relation of both variables, panel data regression model with panel-corrected standard errors (PCSE) technique was used to analyze provincial level data from 33 provinces over the period of 2012-2016. The study finds that FDI has a direct and insignificant effect on income inequality. Moreover, FDI has indirect and negative effects on income inequality, via economic growth. Interestingly, the indirect effects of FDI on income inequality through education and trade are statistically insignificant. In addition, non-linear relation between FDI and income inequality has not been proved.

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Section: Conducting Research and Resultsmentioning

confidence: 99%

Is foreign direct investment helpful to reduce income inequality in Indonesia?

Fazaalloh¹

2019

Economics &Amp; Sociology

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“…The results of the correlation analysis showed that the ageing rate was moderately correlated with the Gini index and GDP per capita. Previous studies have reported that population ageing was associated with income inequalities [55]. Thus, population ageing is strongly associated with social structural elements such as income inequalities.…”

Section: Discussionmentioning

confidence: 99%

The impact of uncertainty in society on the use of traditional, complementary and alternative medicine: a comparative study on visits to alternative/traditional/folk health care practitioners

Misawa

Ichikawa

Shibuya

et al. 2019

BMC Complement Altern Med

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Background While traditional, complementary and alternative medicine (TCAM) is gaining increased interest worldwide, the structural factors associated with the usage of TCAM at the social level have not been sufficiently explored. We aim to understand the social structure of uncertainty in society that affects the TCAM usage for men and women. Methods We studied 32 countries using data from the International Social Survey Programme and the World Bank. In this study, we defined TCAM usage as visits to an alternative/traditional/folk health care practitioner during the past 12 months. We performed a correlation analysis and used a generalized linear model . Results The prevalence of TCAM usage in terms of visits to practitioners was 26.1% globally, while usage varied across the 32 countries. Generalized linear models showed that unemployment rate was associated with the prevalence of TCAM usage in terms of visits to practitioners. Conclusions At the social-structural level TCAM usage involving visits to practitioners was related to job insecurity. Job insecurity led to a decrease in TCAM usage regarding visits to practitioners. These findings suggest that it is necessary to consider the social-structural factors of uncertainty in society when designing health policies related to TCAM.

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“…Moreover, Kang (2009) found that in South Korea a strong positive linear relationship between ageing and income inequality was witnessed after the age of thirty-five. A further study on China by Qu and Zhao (2008), examined factors determining income inequality in rural areas and found that income inequality increased with age by a small age effect (Zhiqiang Dong & Wei, 2018). A study on the impact of the age structure on household wealth inequality in U.K., Italy, Finland, Sweden, and the U.S. found minor age impacts of wealth differentials between households (Ihle and Siebert-Meyerhoff, 2017).…”

Section: Age-inequality Literaturementioning

confidence: 99%

“…Furthermore, Zhong (2011) and Zhou and Li (2009) found that a significant part of the increase in income inequality was attributed to demographic change and age in different cohorts. Furthermore, a theoretical model by (Zhiqiang Dong & Wei, 2018) indicated that population aging intensified income inequality in the Chinese economy.…”

Section: Age-inequality Literaturementioning

confidence: 99%

Inequality in Egypt: Age-adjusted Gini coefficient

Elhini¹

2019

International Journal of Social Sciences and Education Research

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Egypt's current 'youth bulge' constitutes the majority of its population, which implies that growth in the working-age population is faster than the overall population growth rate. With a fast-growing young population in Egypt, it is important to understand whether this demographic composition has an impact on the current inequality measures, since an individual's stage in life deems detrimental for understanding his or her wealth holdings. In this light, this paper departs from the basic life-cycle impact on wealth inequality measures, and alternatively proposes an empirical method to adjust for age-effects in cross-sectional inequality for Egypt. The resulting Ageadjusted Gini coefficient (AG), eliminates wealth inequality that is attributed to age, yet it perpetuates inequality arising from other wealth-generating factors. By using wealth equalising measures, results of the Age-adjusted Gini coefficient show that age and household characteristics have no impact on wealth accumulation in Egypt, however, wealth is greatly influenced by increasing levels of education, making way for possible movement up the mobility scale.

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Does population aging intensify income inequality? Evidence from China

Cited by 38 publications

References 10 publications

Is foreign direct investment helpful to reduce income inequality in Indonesia?

Is foreign direct investment helpful to reduce income inequality in Indonesia?

The impact of uncertainty in society on the use of traditional, complementary and alternative medicine: a comparative study on visits to alternative/traditional/folk health care practitioners

Inequality in Egypt: Age-adjusted Gini coefficient

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