Classification and influencing factors of rural elderly's vulnerability to health-related poverty in central and western regions of China

Xiang, Qin; Yan, Chaoyang; Ma, Ying; Liao, Hui; Jing, Wang

doi:10.1016/j.glohj.2021.07.004

Cited by 15 publications

(12 citation statements)

References 17 publications

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“…Vulnerability to health-related poverty predicts the probability that families will fall into poverty in the future due to unexpected health issues. The most common measurement method is expected poverty vulnerability(VEP) (21), which mainly uses three-stage feasible generalized least squares(FGLS) to quantify the family's vulnerability to health-related poverty in three following steps (22,23):…”

Section: Health Poverty Vulnerability Measurementmentioning

confidence: 99%

Decomposition analysis of health poverty vulnerability and influencing factors among rural women of childbearing age-an empirical analysis based on 2-period panel data in rural Ningxia, China

Qiao

2023

Preprint

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Background: The health of rural women of reproductive age is crucial to the sustainable development of individuals, families, and society, and conducting research on the identification of health-poor vulnerable groups and influencing factors is an important basis for adjusting and implementing health poverty alleviation policies, but there are few studies on the health-poor vulnerability of rural women of reproductive age. Method: Based on the panel data of the Ningxia "Rural Household Health Inquiry Survey" for 2019 and 2022, the four dimensions of household physical capital, financial capital, social capital, and human capital were incorporated into the SLA analysis framework, and the health poverty vulnerability of rural women of reproductive age was measured by using the three-stage feasible generalized least squares method and the Tobit model and Shapley decomposition to analyze the influencing factors of health poverty vulnerability and decompose the contribution of each influencing factor to health poverty vulnerability. Results: The health poverty status of rural women of reproductive age is not promising, with health poverty vulnerability rates for rural women of reproductive age above 20% in both 2019 and 2022 under different poverty line criteria. Shapley decomposition found that the top four contributors to health poverty vulnerability impact factors in 2019, using poverty line 1 and poverty line 2 as criteria, were household size, annual per capita household income, gift expenditure, and Respondents' self-rated health status. Using poverty line 1 and poverty line 2 as criteria, the top four contributing factors of health poverty vulnerability in 2022 are annual per capita household income, gift expenditure, respondent age, and household poverty. Conclusion: Strengthening the ex-ante intervention of health poverty among rural women of childbearing age, establishing an early warning mechanism for the risk of returning to poverty due to illness, improving the accurate identification of highly vulnerable rural women of childbearing age, and improving the medical insurance system for rural women of childbearing age can help improve the health poverty of rural women of childbearing age.

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Section: Health Poverty Vulnerability Measurementmentioning

confidence: 99%

Decomposition analysis of health poverty vulnerability and influencing factors among rural women of childbearing age-an empirical analysis based on 2-period panel data in rural Ningxia, China

Qiao

2023

Preprint

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“…Households were classified into either non-poor or poor based on the established poverty line following [19]. Table 3 shows the incidence, depth and severity of poverty in the area.…”

Section: Poverty Status and Foster-greer-thorbecke (Fgt) Poverty Indi...mentioning

confidence: 99%

Arable farmer's enterpreneurial competencies and poverty status in Boluwaduro local government area of Osun State, Nigeria

Agboola,

Akintunde,

Balogun

2023

Poljoprivredna tehnika

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Poverty affects all sectors of society and believed to be higher in rural areas. However, entrepreneurial competencies have proved to be a weapon to reduce poverty among the populace. This study sought to investigate the effects of entrepreneurial competencies on household poverty in Boluwaduro Local Government Area of Osun State, Nigeria. Primary data were collected with the aid of well-structured questionnaire using a multi-stage sampling procedure to randomly select 120 household heads from the study area. Descriptive and inferential statistics such as FGT poverty index, budgetary analysis and probit regression were used for data analysis. The results showed that the mean age of the farmers was 50.94 years and were majorly males with a mean farm size of 7.43 acres cultivated mainly by family labour. Total household expenditure per month was N49730.5. The result of the budgetary analysis reveals a BCR of 1.8. Entrepreneurial competencies level was found to be moderate in the study area and 31.7% of the farmers were poor. Probit analysis showed that the Pseudo R-squared is 0.434, commitment and social competencies were significant at 1% and 5% level indicating positive influences on poverty reduction. It was recommended that farmers in the study area should show high commitment to agri-entrepreneurship and government should initiate policies that would enhance commitment of people and social activities to further reduce poverty level.

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“…Due to the lack of panel data in developing countries, the existing literature mainly studies cross-sectional data (Imai et al, 2009) and uses measurement methods such as ordinary least squares, generalized least squares, and three-stage generalized least squares (Günther & Harttgen, 2009). From the perspective of vulnerability influencing factors, existing studies mainly focus on the impact of nonfinancial factors on vulnerability as expected poverty (VEP), such as employment and education, market accessibility, nonagricultural activities, agricultural tax abolition, and social security (Sun et al, 2020;Wang & He, 2020;Xiang et al, 2021;Zhang & Wan, 2006).…”

Section: Literature Reviewmentioning

confidence: 99%

Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship

2022

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This paper evaluates the impact of digital financial inclusion (DFI) powered by digital technologies on rural household vulnerability to poverty based on data from the China Family Panel Studies (CFPS) and DFI data from the Institute of Digital Finance Peking University. The results show that both DFI and its secondary indicators reduce rural household vulnerability to poverty. Household entrepreneurship is an intermediary factor of DFI influencing vulnerability to poverty; that is, DFI stimulates rural households’ entrepreneurial behavior, thereby reducing their vulnerability to poverty. Through the analysis of income heterogeneity, financial development level, and human capital in the region, it is found that DFI is more helpful in reducing the vulnerability to poverty for rural households with low income, a low level of financial development and low human capital. Therefore, the Chinese government should map out the DFI development path, build a DFI control system with internet technologies, and actively play the mutually supporting role of DFI and other influencing factors to boost DFI development, minimize the risk of returning to poverty and thereby reduce rural household vulnerability in China.

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Classification and influencing factors of rural elderly's vulnerability to health-related poverty in central and western regions of China

Cited by 15 publications

References 17 publications

Decomposition analysis of health poverty vulnerability and influencing factors among rural women of childbearing age-an empirical analysis based on 2-period panel data in rural Ningxia, China

Decomposition analysis of health poverty vulnerability and influencing factors among rural women of childbearing age-an empirical analysis based on 2-period panel data in rural Ningxia, China

Arable farmer's enterpreneurial competencies and poverty status in Boluwaduro local government area of Osun State, Nigeria

Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship

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