Analysing the Determinants of Poverty among Female-Headed Households: The Case of South Africa

Author(s):  
Phindile Mdluli

Poverty remains a critical and complex phenomenon in developing countries, South Africa included. Over the years, poverty has escalated significantly, particularly in Africa, while it has declined in most developed regions. The worsening statistics in Africa have raised concerns of a lack of understanding of poverty among policymakers and governments. In South Africa, poverty has been increasing, with more than 50 percent of households living in poverty. Additionally, approximately 26 percent of females live in extreme poverty, while at the same time the country is experiencing a growing trend of female-headed households continually identified as vulnerable to the indignities of poverty compared to male-headed households. Although poverty in South Africa has been studied extensively, existing literature shows that it is still a debatable topic, since the dynamics have not improved much, but rather worsened in recent years particularly post-apartheid. Using the 2018 general household survey data with a sample of 19 219 observations collected by Statistics South Africa, the primary objective of the study is to examine the determinants of poverty among female-headed households in South Africa. The study uses the following statistical methods: descriptive statistics, cross-tabulations and a binary logistic regression. The estimated results show that factors such as education level, employment status, age, gender, race, household size and marital status determine the poverty status of female-headed households. Females experience higher levels of poverty when compared to their male counterpart using the upper bound poverty line. Keywords: Poverty, household, female-headed household, male-headed households, South Africa

Econometrics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Tahsin Mehdi

Although a wide array of stochastic dominance tests exist for poverty measurement and identification, they assume the income distributions have independent poverty lines or a common absolute (fixed) poverty line. We propose a stochastic dominance test for comparing income distributions up to a common relative poverty line (i.e., some fraction of the pooled median). A Monte Carlo study demonstrates its superior performance over existing methods in terms of power. The test is then applied to some Canadian household survey data for illustration.


Author(s):  
D Schuster ◽  
JJ Fagan ◽  
M Flint ◽  
W Basera ◽  
O Porrill ◽  
...  

Background: The aim of surgical antibiotic prophylaxis (SAP) is to prevent surgical site infection (SSI) by administering an appropriate antimicrobial agent perioperatively. However, SAP may be associated with adverse effects and incurs added costs. The primary objective of this prospective study is to establish whether clinicians are adhering to existing perioperative antibiotic prophylaxis guidelines in terms of indication, dosage and timing of SAP. Secondary objectives are to determine the proportion of patients receiving inappropriate antibiotics, and to evaluate correct practice concerning re-dosing and duration of SAP. Methods: A cross-sectional prospective audit of the anaesthetic records and prescription charts of surgical patients was conducted at Groote Schuur Hospital, a tertiary level teaching hospital in Cape Town, South Africa, over a period of one week. Data were collected by anaesthetists – blinded to the study objectives – and the investigators; then captured on Excel spreadsheets and compared to existing SAP guidelines. Descriptive statistics and binary logistic regression were used for analysis. Results: Of the 192 patients consented, 180 questionnaires were completed for data analysis. The median age of participants was 44.5 years (IQR: 31.5–58), with a preponderance of females (58.7%). SAP was administered in 149 cases (82.8%) and withheld in 31 (17.2%). This was appropriate in 91.9% (137/149) and 77.4% (24/31) respectively. Twelve patients (6.7%) received inappropriate antibiotics and in seven (3.9%) it was inappropriately withheld. Of the 156 patients who should have received SAP, choice of drug was correct in 121 (77.6%), dosage in 110 (70.5%) and timing in 87 (55.8%). Absolute compliance was achieved in 44.4% (80/180). Errors were mostly related to timing, re-dosing and duration of SAP. Conclusion: Anaesthetists and surgeons at Groote Schuur Hospital demonstrate variable adherence to surgical antibiotic prophylaxis guidelines. Interventions aimed at improving compliance are warranted.


Author(s):  
David Mhlanga ◽  
Rufaro Garidzirai

The study sought to analyse the influence of racial differences in the demand for public healthcare in South Africa, using the 2018 General Household Survey (GHS) data. This was completed to understand if race still plays a role in access to healthcare in post-apartheid South Africa. Logistic regression analysis revealed that race significantly explained the variance in demand for public healthcare, with White populations having the lowest probability of demand for public healthcare compared to other races. Consequently, the study noted that racial differences still play a critical role in affording one access to healthcare after assessing the situation obtaining in public healthcare. Therefore, the study recommends that the government of South Africa should create policies that encourage equal access to basic services in addressing racial inequality in the country.


2020 ◽  
Vol 15 (5) ◽  
pp. 112-129

In Russia, means testing is used to identify low-income households and measure poverty headcount as well as to establish the eligibility of the applicants to targeted social assistance. The current means-testing formula, however, is restricted to comparing the per capita income with the cost of the so-called minimum consumer basket or the standard subsistence income. The authors propose an improved means-testing formula which is claimed to measure the wealth and consumption needs of a household more accurately and more equitably, as it includes a revised equivalence scale and а filter for the possession of certain valuable assets. Based on a representative household survey, which covers three subfederal jurisdictions and has been specifically designed to test the performance of the new formula, the authors measure the contribution of each of the proposed formula modifications and the combined effect of all modifications upon the overall poverty headcount and the total income gap as well as the effects upon the poverty status of selected categories of households. Even though during the modeling phase the poverty threshold had to be raised by 12–16% against the official poverty line effective in the respective jurisdictions in order to eliminate the influence of the proposed equivalence scale on the poverty headcount, the ultimate effect of the new formula, which combines the new equivalence scale and several property filters, is a 25% reduction of poverty. This reduction is mainly due to sorting out the households that own excessive property or cars from the low-income category.


2016 ◽  
Vol 4 (4) ◽  
pp. 516 ◽  
Author(s):  
Ajuruchukwu Obi ◽  
Sanelise Tafa

South Africa was privileged to be part of the MDGs agenda which was adopted in 2000. One of the aims of MDGs was to reduce extreme poverty by half in 2015. For that reason, South Africa integrated policies and strategies to rid poverty by half to that of United Nations (UN). Through all the combined policy approaches, South Africa has successfully achieved the target of halving the population living below PPP$1.25c per person per day. Whichever threshold used, the results showed that the percentage share of people living below poverty line has now decreased from 11.3 per cent in 2000 to 4.0 per cent in 2011. However, these reports are not reflecting the exact poor’s experiences because at household level there is still an outright poverty. Therefore, if the national poverty report gives a good picture about South African poverty status whereas there is still prevalence of poverty at household level, there are high chances that wrong policies in regard to poverty reduction strategies will be wrought. Hence this paper focuses on the determinants of household poverty in South Africa. The sole aim of this paper is to assess the determinants of household poverty in South Africa. The reviewed literature on determinants of poverty in South Africa would enable policy makers to see the effect of demographic characteristics on poverty in South Africa. Thus, strategies and policies aimed at alleviating poverty in South Africa can be directed to the discussed factors.


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