Risk Characteristics of Catastrophic Health Expenditure in Multidimensional Borderline Poor Households in China.

Background: Ending poverty and realizing common prosperity are the essential requirements for the localization of Marxism in China. The ongoing COVID-19 pandemic in the post-poverty era further aggravates the risk of catastrophic health expenditure for borderline poor households and increases the uncertainty of returning to poverty due to illness, potentially undermining decades of hard-won efforts to eradicate poverty in China. Methods: Based on the latest data released by China Health and Retirement Longitudinal Survey (CHARLS) database, this paper uses the Logit model to empirically explore the risk characteristics of catastrophic health expenditure of multidimensional borderline poor households based on identifying multidimensional borderline poor households. Results: The results show that factors such as family income level, child support, and medical insurance have different impacts on catastrophic health expenditure, and the risk of catastrophic health expenditure of multidimensional borderline poor households is much higher than that of non- multidimensional borderline poor households, and there is a certain difference between urban and rural areas. Discussion: The government should strengthen and improve the social security system and health service system, such as medical insurance, and more resources should be allocated to multidimensional borderline poor households, especially in rural areas.

The Effect of the "Triple-Layer Medical Security" Policy on the Vulnerability as Expected Poverty of Rural Households: Evidence from Yunnan Province, China.

China launched the "critical battle against poverty" nationwide in 2012. As its main battlefield, Yunnan province promulgated the "triple medical security" (TMS) policy in 2017. This study, based on the pooled cross-section database of 2015-2020 of registered poor households in Yunnan province, employed the logit model to examine the effect of TMS on the vulnerability as expected poverty (VEP) of these households. It found that increasing the reimbursement rates for overall medical expenses and inpatient expenses and decreasing the proportion of out-of-pocket medical payment to income reduced the VEP; increases in the number of sick people in the family increased its VEP, and although the increase in the reimbursement rate for overall medical expenses or for inpatient expenses partially offset the VEP caused by the increase in the number of chronically ill people in the family, the VEP caused by the increase in the number of critically ill people would increase in the short term with the increase in the reimbursement rate for overall medical expenses or for inpatient expenses. The findings help improve policies concerning the medical security and health of the rural poor population, providing theoretical reference and practical guidance for future research.

A local general-equilibrium emergency response modeling approach for sub-Saharan Africa

AFRICAN DEVELOPMENT : Swift response models are vital tools for emergency assistance agencies. The COVID-19 pandemic revealed the lack of economic models for short-run policy relevant research to anticipate local impacts and design effective policy responses. The most direct effects of the pandemic and lockdown tended to be concentrated in urban areas;however, markets quickly transmitted impacts to rural areas as well as among poor and non-poor households. General equilibrium modeling is a tool of choice to capture indirect, spillover effects of exogenous shocks. This article describes an unusual micro general-equilibrium (GE) modeling approach that we developed to quickly simulate impacts of the pandemic and lockdowns on poor and non-poor rural and urban households across sub-Saharan Africa. Monte Carlo bootstrapping was used to construct four stylized regional GE models from 34 existing local economy-wide impact evaluation (LEWIE) models. Simulations revealed that the pandemic and policy responses to curtail its spread were likely to affect rural households at least as severely as urban households. Simulated income losses are greater in poor households in both urban and rural settings. These findings are relatively consistent across models spanning sub-Saharan Africa. Because COVID-19 impacts are so far-reaching, all types of economies experience downturns. Our research underlines the importance of modeling assumptions. We find total annualized impacts of around a 6-percent loss of GDP, smaller than estimates from single-country models that ignore price effects, such as SAM-multiplier models, but in line with The World Bank's baseline forecast of a 5.2% contraction in global GDP in 2020. The largest negative impacts are on poor rural households

A socio-geographic perspective of health and economic impacts of COVID-19 on poor households in ghana.

COVID-19 outbreak has had multidimensional effects on human lives. The impacts are expected to be more severe on poor households, especially in resource-constraint economies such as Ghana. The Country has a higher poverty rate [24.2%] and this is likely to upsurge in the coming years due to this pandemic. We aimed to document the pandemic-related health and socioeconomic hazards in Ghana. A content analysis of relevant literature, and a qualitative survey using a socioecological lens were conducted. Based on the Ghana Living Standard Survey report (GLSS 7), twenty interviewees were recruited from 3 most poverty-stricken regions in the country to verify the findings of the content review. The findings indicate a significant health burden and a large-scale socioeconomic negative outcome among the Ghanaian poor households. The disproportionate health access by the poor and the rural inhabitants has and will continue to exacerbate. The social hazards are mainly circumscribed relating to poor economic conditions due to job losses, lack of access to income/savings, food insecurity, and lack of welfare support. At the national level, the economy is particularly vulnerable due to low levels of economic diversification. The ultimate manifestation of the pandemic impacts are higher risk of morbidity and mortality rates, and deteriorating wellbeing and livelihoods. These highlights are beneficial to policymakers, development partners, and human rights advocates to make collaborative efforts in helping the poor households during and the post-pandemic periods.