This study aimed to develop a causal chain that illustrates the path through which a variety of factors influence consumer financial vulnerability. In order to achieve the stated aim, it was necessary to firstly identify the factors that gave rise to consumers being financially vulnerable. Secondly, the nature of the causal chain between the identified factors was determined. Thirdly, the causes of consumer financial vulnerability according to key informants in the financial services industry were determined. Finally, based on the results of the first three stages, possible explanations for consumer financial vulnerability were provided. Before the construction of the causal chain could be explored, a theoretical framework regarding household financial position as well as financial attitudes and behaviours was provided. The theoretical framework was supported by a description of the linkages through which consumers function and transact in an economy by applying chain reasoning. The chain reasoning was extended by providing financial statements reflecting the results of consumers’ interactions in the macroeconomy with an extract from the national accounts of South Africa presenting the income statements, balance sheets and relevant financial ratios of consumers for the period in which the research was conducted (2008 to 2009). For this study, the explanatory sequential mixed methods design was deemed appropriate to achieve the proposed research objectives. The research process firstly consisted of a quantitative strand where the possible causes for consumer financial vulnerability were identified after which the results were validated with data obtained in the second phase by means of four focus group discussions. To determine the factors giving rise to and establish the causal chain of overall consumer financial vulnerability, regression analysis was conducted. Based on the results of the regression analysis, it became evident that the financial vulnerability chain is not a singular linear process but rather a non-linear process (with contemporaneous and singular linkages) with a variety of factors influencing financial vulnerability, but also influencing each other over time. / Management Accounting / D. Accounting Science

It is twenty-one years since South Africa’s democracy and the majority of South African households can still be classified as poor, despite the various interventions by Government to reduce poverty and inequality. The measurement used to determine the financial status of a household at a given point in time is its net equity in accordance with its Statement of Financial Position, calculated as its assets owned less liabilities owed. This study aimed to identify the selected significant factors that affect a South African household’s net equity value. In order to achieve the aim of this study, a heuristic model consisting of two components was developed. The first component considered which assets and liabilities should be included in determining a household’s net equity and how these assets and liabilities should be valued. The second component identified the selected factors that influence a household’s net equity. The heuristic model was applied to the empirical data using three phases. Firstly, the net equity value was calculated for each household. This was followed by an analysis of the selected factors that significantly influence household net equity. The last phase was performed to determine the effect of the identified selected factors in explaining the difference between households that have above average net equity values and those having below average values. The results of the study indicated that 11 selected factors significantly influence the net equity value in the South African household’s Statement of Financial Position. Seven of those factors significantly explain between 28,3 percent and 38,1 percent of the differences in the net equity value of a household when comparing the households with above average net equity value with those with below average values. This is useful information for policy makers in identifying the selected factors that will most significantly increase the net equity value of a household with a net equity value below the South African average. / Centre for Accounting Studies / M. Com. (Accounting Science)

This study aimed to develop a causal chain that illustrates the path through which a variety of factors influence consumer financial vulnerability. In order to achieve the stated aim, it was necessary to firstly identify the factors that gave rise to consumers being financially vulnerable. Secondly, the nature of the causal chain between the identified factors was determined. Thirdly, the causes of consumer financial vulnerability according to key informants in the financial services industry were determined. Finally, based on the results of the first three stages, possible explanations for consumer financial vulnerability were provided. Before the construction of the causal chain could be explored, a theoretical framework regarding household financial position as well as financial attitudes and behaviours was provided. The theoretical framework was supported by a description of the linkages through which consumers function and transact in an economy by applying chain reasoning. The chain reasoning was extended by providing financial statements reflecting the results of consumers’ interactions in the macroeconomy with an extract from the national accounts of South Africa presenting the income statements, balance sheets and relevant financial ratios of consumers for the period in which the research was conducted (2008 to 2009). For this study, the explanatory sequential mixed methods design was deemed appropriate to achieve the proposed research objectives. The research process firstly consisted of a quantitative strand where the possible causes for consumer financial vulnerability were identified after which the results were validated with data obtained in the second phase by means of four focus group discussions. To determine the factors giving rise to and establish the causal chain of overall consumer financial vulnerability, regression analysis was conducted. Based on the results of the regression analysis, it became evident that the financial vulnerability chain is not a singular linear process but rather a non-linear process (with contemporaneous and singular linkages) with a variety of factors influencing financial vulnerability, but also influencing each other over time. / Management Accounting / D. Accounting Science

It is twenty-one years since South Africa’s democracy and the majority of South African households can still be classified as poor, despite the various interventions by Government to reduce poverty and inequality. The measurement used to determine the financial status of a household at a given point in time is its net equity in accordance with its Statement of Financial Position, calculated as its assets owned less liabilities owed. This study aimed to identify the selected significant factors that affect a South African household’s net equity value. In order to achieve the aim of this study, a heuristic model consisting of two components was developed. The first component considered which assets and liabilities should be included in determining a household’s net equity and how these assets and liabilities should be valued. The second component identified the selected factors that influence a household’s net equity. The heuristic model was applied to the empirical data using three phases. Firstly, the net equity value was calculated for each household. This was followed by an analysis of the selected factors that significantly influence household net equity. The last phase was performed to determine the effect of the identified selected factors in explaining the difference between households that have above average net equity values and those having below average values. The results of the study indicated that 11 selected factors significantly influence the net equity value in the South African household’s Statement of Financial Position. Seven of those factors significantly explain between 28,3 percent and 38,1 percent of the differences in the net equity value of a household when comparing the households with above average net equity value with those with below average values. This is useful information for policy makers in identifying the selected factors that will most significantly increase the net equity value of a household with a net equity value below the South African average. / Taxation / M. Phil. (Accounting Science)