Energy Consumption and Health Insurance Premiums in China's Provinces: Evidence From Asymmetric Panel Causality Test

Wang, Kai-Hua; Liu, Lu; Lobonţ, Oana-Ramona; Moldovan, Nicoleta-Claudia

doi:10.3389/fpubh.2021.658863

Cited by 5 publications

(3 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All other known studies on asymmetric causality follow Hatemi-j’s (2012) guidelines within bivariate causality by pairing all probable positive and negative shock components in turn (Yilanci et al. , 2021; Wang et al. , 2021; Olaniyi, 2020; Olaniyi and Olayeni, 2020; Olaniyi and Ologundudu, 2022; Hatemi-J, 2014; Hatemi-J et al.…”

Section: Methodology and Data Sourcementioning

confidence: 99%

“…Six, Hatemi-j (2012) introduced the novel idea of asymmetric causality based on bivariate causality principles. All other known studies on asymmetric causality follow Hatemi-j's (2012) guidelines within bivariate causality by pairing all probable positive and negative shock components in turn (Yilanci et al, 2021;Wang et al, 2021;Olaniyi, 2020;Olaniyi and Olayeni, 2020;Olaniyi and Ologundudu, 2022;Hatemi-J, 2014;Hatemi-J et al, , 2017Hatemi-J et al, , 2018Hatemi-J et al, , 2019El-Khatib, 2016, 2020;Hatemi-J and Uddin, 2012;Destek, 2016).…”

Section: Data Decomposition and Model Specificationmentioning

confidence: 99%

See 1 more Smart Citation

Inflation-poverty causal nexus in sub-Saharan African countries: an asymmetric panel causality approach

Olaniyi,

Odhiambo

2024

ITPD

View full text Add to dashboard Cite

PurposeThis study examines the roles of cross-sectional dependence, asymmetric structure and country-to-country policy variations in the inflation-poverty reduction causal nexus in selected sub-Saharan African (SSA) countries from 1981 to 2019.Design/methodology/approachTo account for cross-sectional dependence, heterogeneity and policy variations across countries in the inflation-poverty reduction causal nexus, this study uses robust Hatemi-J data decomposition procedures and a battery of second-generation techniques. These techniques include cross-sectional dependency tests, panel unit root tests, slope homogeneity tests and the Dumitrescu-Hurlin panel Granger non-causality approach.FindingsUnlike existing studies, the panel and country-specific findings exhibit several dimensions of asymmetric causality in the inflation-poverty nexus. Positive inflationary shocks Granger-causes poverty reduction through investment and employment opportunities that benefit the impoverished in SSA. These findings align with country-specific analyses of Botswana, Cameroon, Gabon, Mauritania, South Africa and Togo. Also, a decline in poverty causes inflation to increase in the Congo Republic, Madagascar, Nigeria, Senegal and Togo. All panel and country-specific analyses reveal at least one dimension of asymmetric causality or another.Practical implicationsAll stakeholders and policymakers must pay adequate attention to issues of asymmetric structures, nonlinearities and country-to-country policy variations to address country-specific issues and the socioeconomic problems in the probable causal nexus between the high incidence of extreme poverty and double-digit inflation rates in most SSA countries.Originality/valueStudies on the inflation-poverty nexus are not uncommon in economic literature. Most existing studies focus on inflation’s effect on poverty. Existing studies that examine the inflation-poverty causal relationship covertly assume no asymmetric structure and nonlinearity. Also, the issues of cross-sectional dependence and heterogeneity are unexplored in the causal link in existing studies. All panel studies covertly impose homogeneous policies on countries in the causality. This study relaxes this supposition by allowing policies to vary across countries in the panel framework. Thus, this study makes three-dimensional contributions to increasing understanding of the inflation-poverty nexus.

show abstract

Section: Methodology and Data Sourcementioning

confidence: 99%

Section: Data Decomposition and Model Specificationmentioning

confidence: 99%

Inflation-poverty causal nexus in sub-Saharan African countries: an asymmetric panel causality approach

Olaniyi,

Odhiambo

2024

ITPD

View full text Add to dashboard Cite

show abstract

“…Hence, in 2015:02-2015:04, the SMI had a positive impact on PR. The increase in social medical insurance premiums is accompanied by an increase in poverty (57).…”

Section: Subsample Rolling Window Testmentioning

confidence: 99%

Does Social Medical Insurance Achieve a Poverty Reduction Effect in China?

Sun

Tao

Lei

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

This paper aims to explore the impact of social medical insurance (SMI) on poverty reduction (PR) in China. Considering the time-varying characteristics of factors, this paper uses the bootstrap Granger full sample causality and subsample rolling window model to find the relationship between SMI and PR. The results highlight that in some periods, there is a bidirectional causal link between SMI and PR. Influenced by the medical insurance reform and medication measures. Social medical insurance does not have a positive impact on poverty reduction in some periods. These results are supported by the Utility Maximization Model of Insurance Consumption, which highlights that individuals make utility maximization choices when choosing insurance. The effect of medical insurance on poverty alleviation depends on whether an individual's investment in medical insurance can maximize its utility. If the proportion of social medical insurance reimbursement is too low, individuals will give up buying social medical insurance. Thus, the anti-poverty effect of social medical insurance is difficult to achieve. Therefore, authorities need to pay attention to specific contexts and social medical insurance policies and further improve the social medical insurance system to promote the realization of the anti-poverty of social medical insurance.

show abstract

Do countries’ interdependence, asymmetry, and policy variances matter in the remittance-poverty causal nexus?

Olaniyi,

Odhiambo

2023

The Journal of International Trade & Economic Development

View full text Add to dashboard Cite

Energy Consumption and Health Insurance Premiums in China's Provinces: Evidence From Asymmetric Panel Causality Test

Cited by 5 publications

References 75 publications

Inflation-poverty causal nexus in sub-Saharan African countries: an asymmetric panel causality approach

Inflation-poverty causal nexus in sub-Saharan African countries: an asymmetric panel causality approach

Does Social Medical Insurance Achieve a Poverty Reduction Effect in China?

Do countries’ interdependence, asymmetry, and policy variances matter in the remittance-poverty causal nexus?

Contact Info

Product

Resources

About