Poverty and private health expenditures in Italian households during the recent crisis

Sarti, Simone; Terraneo, Marco; Bordogna, Mara Tognetti

doi:10.1016/j.healthpol.2016.12.008

Cited by 19 publications

(15 citation statements)

References 22 publications

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“…Although there is a weak relationship between income inequality and life expectancy in Indonesia, the results of this study remain in line with previous studies by Rodgers (1979), Lynch (2000), Deaton (2002), Bakhtiari & Meisami (2010), Nakamura & Murayama (2011), Kim et al, (2017), and Sarti et al, (2017). Some of these studies indicate that income inequality harms the health status of the community.…”

Section: Lack Of Public Savingssupporting

confidence: 89%

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

2019

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The purpose of this study is to analyze the role of health infrastructure and public socio-economic status on life expectancy in Indonesia. Health infrastructure indicators are health personnel, health facilities, and health insurance. Meanwhile, socio-economics indicators are dependency ratio, income inequality, and poverty. The models are estimated using a panel data set for 34 provinces in Indonesia from 2010 to 2016. This research is using a fixed-effect panel data approach. Empirical results show that health personnel and health insurance have a positive relationship with life expectancy. Dependency ratios and poverty also show a negative relationship with life expectancy. On the other hand, the availability of health facilities and income inequality have a weak relationship with life expectancy. This empirical examination result will help Indonesian governments to improve several aspects in order to increase life expectancy in Indonesia. AbstrakTujuan penelitian ini adalah untuk menganalisis peran infrastruktur kesehatan dan status sosial ekonomi masyarakat terhadap angka harapan hidup di Indonesia. Indikator infrastruktur kesehatan diantaranya tenaga kesehatan, fasilitas kesehatan, dan jaminan kesehatan. sedangkan indikator dari sosial ekonomi adalah beban ketergantungan, ketimpangan pendapatan, dan kemisinan. Model diesimasi menggunakan panel data dari 34 provinsi di Indonesia periode tahun 2010 hingga 2016. Pendekatan fixed effect digunakan untuk tujuan penelitian ini. Hasil empiris menunjukkan tenaga kesehatan dan jaminan kesehatan memiliki hubungan positif dan signifikan dengan angka harapan hidup. Beban ketergantungan dan kemiskinan juga memiliki hubungan negatif dan signifikan dengan angka harapan hidup. Pada sisi yang lain ketersediaan fasilitas kesehatan dan ketimpangan pendapatan memiliki hubungan yang lemah denganngka harapan hidup. Hasil empiris ini akan membantu pemerintah Indonsia untuk meningkatkan beberapa aspek dalam rangka untuk meningkatkan angka harapan hidup di Indonesia.Kata Kunci: pembangunan manusia, angka harapan hidup, infrastruktur kesehatan, sosial-ekonomi JEL Code: O15, O18 conclude that there is bi-directional causality between CO2 emissions and economic growth, between health expenditure and economic growth.Likelihood tests and Hausman tests are performed to determine the best approach Signifikan:between Common Effects, Fixed Effects, and Random Effects. The last step is the coefficient of determination (R 2 ) and the t-statistic test to determine the correlation value between variables in this study.

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Section: Lack Of Public Savingssupporting

confidence: 89%

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

2019

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“…The health expenditures show a negative impact on poverty as it refers that an increase in the better health condition of the people in Asian countries results in the increase in their capacity to work and earn more, which subsequently decreases the poverty level in the economy. The results are confirmed by the previous studies of Sarti et al (2017), Khemili and Belloumi (2018), etc. The results further show that storm poses a negative relationship with GDP per capita, which confined that increase in storms episodes leads to decrease country's GDP per capita, as crops and other productive areas get effected by these vulnerable storms that largely decrease country's income.…”

Section: Resultssupporting

confidence: 91%

Natural disasters and economic losses: controlling external migration, energy and environmental resources, water demand, and financial development for global prosperity

Khan

Zaman

Shoukry

et al. 2019

Environ Sci Pollut Res

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The objective of the study is to examine the impact of natural disasters on external migration, price level, poverty incidence, health expenditures, energy and environmental resources, water demand, financial development, and economic growth in a panel of selected Asian countries for a period of 2005-2017. The results confirm that natural disasters in the form of storm and flood largely increase migration, price level, and poverty incidence, which negatively influenced country's economic resources, including enlarge healthcare expenditures, high energy demand, and low economic growth. The study further presented the following results: i) natural resource depletion increases external migration, ii) FDI inflows increase price level, iii) increase healthcare spending and energy demand decreases poverty headcount, iv) poverty incidence and mortality rate negatively influenced healthcare expenditures, v) industrialization increases energy demand, and vi) agriculture value added, fertilizer, and cereal yields required more water supply to produce greater yield. The study emphasized the need to magnify the intensity of natural disasters and create natural disaster mitigation unit to access the human and infrastructure cost and attempt quick recovery for global prosperity.

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“…As an emerging market, Serbia successfully maintained a 19% increase in health expenditure and even a 25% increase in medical expenditure, despite of the severe impact of the global economic recession. In [29], it showed that the global financial crisis in 2008 had a full impact on Italian families in the field of health care. Residents gradually reduced private health expenditures and asked the public sector to share health costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Will the Economic Recession Inhibit the Out-of-Pocket Payment Willingness for Health Care?

Zheng

Huang

Jiang

2020

IJERPH

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We used an individual regression and panel data regression method to analyze the samples of 60 countries from 2000 to 2016 to study the impact of the economic recession on residents’ out-of-pocket payment willingness for health care. Although we found an increase in the willingness during the economic recession in most countries, we couldn’t find significant evidence of a positive relationship between the economic recession and such willingness. We discovered that the relationship differentiates in different countries, which mainly depends on the differences in the medical systems and degree of economic development. By controlling individual differences in countries, we found that the economic recession inhibited the out-of-pocket payment willingness for health care. Especially after the impact of the financial crisis in 2008, the cumulative effect of the economic recession and the aftershock of financial crisis was discovered, which significantly inhibited residents’ willingness. In addition, we verified that the economic recession inhibited the out-of-pocket payment willingness by reducing employee compensation in specific types of countries.

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Poverty and private health expenditures in Italian households during the recent crisis

Cited by 19 publications

References 22 publications

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

Natural disasters and economic losses: controlling external migration, energy and environmental resources, water demand, and financial development for global prosperity

Will the Economic Recession Inhibit the Out-of-Pocket Payment Willingness for Health Care?

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