Acta Universitatis Danubius. Œconomica, Vol 12, No 5 (2016)
Satisfaction with Life Amongst the Urban Poor: Empirical Results from South Africa
Chengedzai Mafini1, Daniel Francois Meyer2
Abstract: Satisfaction with life is a dynamic factor which merits ongoing research takes into consideration all contextual influences. This study assessed the influence of four economic factors, namely employment status, rural/urban residence, public service delivery and poverty on satisfaction with life amongst the urban poor in South Africa. Although satisfaction with life is a well-research concept in most environments, no consensus exists on the results, which prompts the need for continuous research. A survey design was adopted involving 402 purposively selected residents of Sebokeng Township in Gauteng Province. Regression analysis revealed that employment status, public service delivery and poverty significantly predicted satisfaction with life. Residing in the rural areas was statistically insignificant. The study provides current insights on the association between economic factors and satisfaction with life amongst poor people in urban societies. The study may be used by governments in developing countries to develop policies for improving the socio-economic well-being of poor societies.
Keywords: Satisfaction with life; employment status; rural/urban residence; public services delivery; poverty
JEL Classification: I00
1. Introduction
Satisfaction with life refers to a situation obtained through the comparison of what a person wants and possesses (Özer & Sackes, 2011). An individual is likely to become satisfied with his/her life upon realisation of the perceived wants and possessions in life. This includes achievements such as inter alia, being happy in daily life, feeling physically better-off, economic security and having well-fulfilling social relationships (Demirel, 2014). In South Africa, evidence of research focusing on satisfaction with life in varied settings is available (e.g. Bookwalter et al., 2011; Botha & Booysen, 2012; Ebrahim et al., 2013; Schatz et al., 2012). However, there is no unanimity in the available research results, particularly on the influence of economic factors on satisfaction with life. This dovetails into long-standing controversies directed to the interplay between each socio-economic factors and satisfaction with life.
As mentioned by Morrison (2011), it is considered unscientific to generalise the influence of each factor on satisfaction with life, since there are contextual factors that should be considered. As such, whilst the subject may be inundated with domineering theoretical formulations and empirical results, none of them has universal applicability. This creates an impetus for continued research on satisfaction with life and its influencing factors.
In the field of development economics, it is widely acknowledged that satisfaction with life is an important indicator of socio-economic well-being (Calvo & Mair, 2014). In view of this, it is important for those in positions of socio-economic governance to have a more informed understanding of the dimensions of satisfaction with life amongst the different cohorts of society falling under their jurisdiction, as this facilitates improved decision-making. Decision making that is based on assumptions may not be effective in addressing societal and economic problems (Rashid & Azizah, 2011). This being the case, a concurrent need exists for research studies that provide social and economic development planners in government with prototypical insights on the existing levels of satisfaction with life as well as its variants within South African societies, especially the poor and marginalised ones. Such information provides the ammunition that is requisite in formulating policies and other initiatives requisite in meeting the socio-economic needs of communities. Implementation of such policies may lead to higher satisfaction with life and a better reputation for the country at large.
The aim of this study is to investigate the influence of economic factors amongst the urban poor in South Africa. To achieve this aim, the following four objectives were formulated;
To determine the perceived influence of employment status on satisfaction with life amongst the urban poor in South Africa;
To establish the perceived influence of rural or urban residence on satisfaction with life amongst the urban poor in South Africa;
To established the perceived influence of public service delivery on satisfaction with life amongst the urban poor in South Africa;
To determine the perceived influence of poverty on satisfaction with life amongst the urban poor in South Africa.
2. Theory
2.1. Employment Status and Life Satisfaction
At any given time and to any given individual, the effects of unemployment are severe (Steiber, 2013). Research (e.g. Calvo & Mair, 2014; Knabe & Ratzel, 2011; Opocher & Steedman, 2009) establishes that joblessness at any conventional level is typically found to be statistically significant and negatively correlated with satisfaction with life. As stated by Wooden and Drago (2009) being unemployed weakens satisfaction with life more than any other single characteristic (including important negative ones such as divorce and separation) (Binder & Coad, 2012). Joblessness leads to loss of income, decreased self-esteem, a reduced feeling that life is under control, loss of friends/social connections and loss of personal status and identity (Clark et al., 2010). Pfann (2006) mentions that being employed is one of the requisites for satisfaction with life in most societies. In agreement, Powdthavee (2012) specifies that there exists a strong theoretical case that work and paid employment are generally beneficial for physical and mental well-being, as well as for satisfaction with life. Cheng and Chan (2008) further argue that employment is arguably the most important mechanism of obtaining adequate economic resources that are essential for material prosperity and full participation in the modern society. Work tends to be fundamental to individual identity, social roles and social status, and facilitates the meeting of important psychological needs in societies where employment is the standard (Clark et al., 2009). This reasoning signifies that employment is the key to increasing material well-being as well as satisfying psychological needs.
2.2. Rural/Urban Residence and Satisfaction with Life
While it is appreciated that urbanites enjoy certain privileges such as having a wider array of choices available to them in terms of the number of schools, medical facilities, transport and shopping complexes among others, living in rural areas has its own advantages that tend to boost the satisfaction with life of rural people (Haug, 2008). For instance, residents of rural areas enjoy the unpolluted natural world daily, and do not have to experience the daily stresses of urban life such as high traffic volumes, higher crime rates and payment of higher taxes (Wood et al., 2010). Rashid and Azizah (2011) mentions that people living in rural areas are less likely to experience mental health challenges such as stress and depression than urban dwellers. Zagozdzon et al. (2011) advocates that although urban populations have higher numbers of social networks as well as networking opportunities, rural communities tend to offer residents the opportunity to establish long lasting and more personal relationships since they encounter the same people more frequently.
In addition to the abovementioned, whilst there are fewer schools in rural areas, children can establish better relationships with their classmates and experience the benefits of smaller classrooms (Carta et al. 2012). In the USA, Glaeser et al. (2014) reports that people in declining cities experience low satisfaction with life than those in rural areas. In South America, Graham and Felton (2006) also found that rural people experienced better well-being than urbanites. In a study by Naude et al. (2008) found that residents from coastal cities, and Cape Town in particular, enjoyed the highest level of satisfaction with life amongst all South Africans. The study took non-monetary but objective measures of satisfaction with life into consideration, such as literacy levels, life expectancy and environment.
2.3. Public Service Delivery and Satisfaction with Life
Satisfaction with the delivery of public services is essential in boosting the satisfaction with life of people in a given country. For instance, as mentioned before, the backlog in the delivery of public services in South Africa has led to widespread protests by disgruntled citizens (Habib, 2010; Nleya, 2011; Swart, 2013). Both previous and recent research in this country (Akinboade et al., 2012; Managa, 2012; Møller, 1996; Møller, 1999; Møller & Jackson, 1997) found that inadequate provision of public services has a substantial impact on satisfaction with life. In fact, where public service delivery was satisfactory, respondents in surveys by a number of scholars (Møller, 1996; Møller & Devey, 2003) demonstrated higher satisfaction with life levels. On the international front Giordano et al. (2011) stress that satisfactory public services can help to mitigate the effects of economic challenges, for example, by helping people back into the labour market and putting in place preventive health measures. Public policy interventions can also support better access for disadvantaged groups to services, and can directly intervene in such areas as job counselling or debt advisory services where unemployment and financial hardship are impacting negatively on citizens (Giordano et al., 2011). Luechinger et al., (2008) maintain that having access to good housing, education, health and other public services has an important impact on the personal well-being and satisfaction with life of citizens. Tang (2012) further urges governments to focus on improving the quality of and the access to public services since it is one of the essential tools that policymakers can use to provide better living conditions and to create opportunities for active participation in society. It appears then that satisfaction with public services has a positive bearing on satisfaction with life.
2.4. Poverty and Satisfaction With Life
Poverty, regardless of its type, is detrimental to satisfaction with life and this may be attributed to the serious nature of its effects (Neff, 2009). High mortality rates and both mental as well as physical health problems are prevalent among the economically deprived (Deaton, 2008). Neilson et al. (2008) maintain that besides financial uncertainty, economically deprived families are susceptible to a series of adverse events that include illness, depression, eviction, job loss, criminal victimisation, prostitution and early family death, among others. Poverty is also associated with violence in families, including child and elder abuse (Van Praag, 2011). Parents who experience hard economic times may become excessively punitive and erratic, issuing demands backed by insults, threats, and corporal punishment (Yu, 2013). Getting out of poverty is difficult for anyone since poverty can become a self‐perpetuating cycle. For instance, poor children are at an extreme disadvantage in the job market and in turn, the lack of good jobs ensures continued poverty such that this cycle may end up repeating itself until the pattern is broken (Knabe & Rätzel, 2011).
In the South African context, numerous studies (Bhorat & Van der Westhuizen, 2012; Hoogeveen & Özler, 2006, Pauw & Mncube, 2007, Posel & Casale, 2011; Van der Berg et al., 2007; Van der Berg & Du Toit, 2007; Van der Berg & Yu 2008; Yu, 2009; Yu, 2013) found that income poverty has detrimental effects on both happiness and satisfaction with life. Other studies (for example Adato et al., 2004; Davids, 2006; Hamel et al., 2005) demonstrate that poverty in South Africa is divided along racial lines and that black Africans are more frequently going without basic services and necessities than whites, coloureds and Indians, leading to depressed well-being within their ranks. However, some researchers (Di Tella & MacCulloch, 2010; Van Praag, 2011) argue that satisfaction with life may be relative, particularly once basic needs are satisfied, and therefore conditioned by “reference groups” that are perceived as important. This has the effect of altering perceptions in different ways, depending on whether the reference groups of the poor tend to be their peers, richer people or people defined by characteristics other than their income (Diener et al., 2011). It appears then that people adapt to varying extents to shifts in their income, which implies that transitions in and out of poverty contribute to satisfaction with life.
3. Empirical Survey
A survey questionnaire was administered to 402 residents from different households in Sebokeng high density residential area, which is located in Gauteng Province, South Africa. A non-probability purposive sampling technique was used to select respondents since there was no single sample frame from which a reliable list of the residents of Sebokeng could be obtained. Since the study concentrated on the urban poor, only individuals above adult 18 years of age who earned less than ZAR2000 per month were included in the sample. The survey was conducted in March 2015. The research instrument consisted of Satisfaction with Life Scale (Diener et al, 1985) to measure satisfaction with life in addition to questions designed to elicit categorical data on the four economic factors considered in this study. Data collection was conducted during weekends when most residents of Sebokeng were available.
4. Regression Analysis
The survey data were analysed using the Statistical Package for the Social Sciences (SPSS version 23.0) software. Regression analysis using the enter method was utilised in assessing the interplay between satisfaction with life and the four economic factors. Satisfaction with life was entered into the regression model as the dependant variable whereas employment status, rural/urban residence, public services delivery and poverty status were entered as independent variables. In entering the data into the regression model, it was acknowledged that the collected data were categorical, which created the need to compute dummy variables for all four independent variables used in this study. Only two categories were recognised for employment status, public service delivery, rural/urban residence and poverty status. Accordingly, these variables were ere entered into the regression models dichotomously and coded as either 0 or 1. Satisfaction with life was represented by a newly created variable, (Satisfaction with Life1). The results of the regression analysis are reported in Table 1.
Table 1. Regression Analysis: Socio-Economic Factors and Life Satisfaction
Independent variables: Socio-economic factors |
Dependent variable: Satisfaction with Life |
||
Beta (β) |
T (t) |
Sig (P) |
|
Employment Status |
0.528 |
3.111 |
0.002 |
Rural Urban Residence |
-0.035 |
-0.694 |
0.488 |
Public Service Delivery |
0.132 |
2.800 |
0.005 |
Poverty Status |
0.151 |
2.592 |
0.010 |
R= 0.279 Adjusted R2 = 0.218 * Significant at the .05 level |
Table 1 summarises the regression analysis results obtained in the study. In terms of employment status, the results of the regression analysis showed that employed people had higher satisfaction with life (β = 0.528; P=0.002) when compared to those that were unemployed. As regards rural/urban residence, the rural/urban residence factor was not statistically significant (P=0.488) and scored a negative beta (β = -0.035), signifying that individuals who perceived that rural life was better had less satisfaction with life with life than those who thought otherwise. Concerning the influence of public service delivery on satisfaction with life, people experiencing satisfactory service delivery experience higher satisfaction with life (β = 0.132; P=0.005) when compared to those exposed to unsatisfactory service delivery. On the issue of poverty status, people who were economically advantaged enjoyed better satisfaction with life (β = 0.151; P= 0.010) than those who were facing economic deprivation.
5. Discussion
Some of the results obtained in the study were consistent with conventionally accepted trends on the influence of economic factors on satisfaction with life. For instance, with regard to employment status, the results of the study validate the conclusion of previous studies (Anderson et al. 2012; Jenkins et al., 2011; Lelkes, 2010) that being employed leads to increased satisfaction with life. With reference to the delivery of public services, this study affirmed that improvements in the delivery of public services has a stimulus effect on satisfaction with life. These results are synchronous to those found in a number of previous studies (Amin et al., 2008; Harper, 2011; Luechinger et al., 2008; Tang, 2012) which affirmed the positive influence of public service delivery on satisfaction with life. Regarding poverty, the results of the current study endorse research work (Clark et al., 2009; Diener et al., 2011; Knies, 2011; Martin and Hill, 2011) that acknowledges that exposure to adverse economic circumstances significantly reduces satisfaction with life. These results provide a leverage of substantiation of previous studies that produced similar results. Thus, people surveyed in this research places are generally not different from the rest of the world in terms of their beliefs and attitudes towards satisfaction with life.
5.1. Employment Status and Satisfaction with Life
A noteworthy result drawn from the study is that employment status emerged as the strongest predictor of satisfaction with life (β = 0.528; P=0.002). The dominance of the employment issue could perhaps be attributed to the dynamics associated with the issue of unemployment in South Africa. The new ANC government that took over after the emergence of democracy in 1994 promised to facilitate the creation of more jobs to black people (Meyer, 2014). However, more than two decades later, existing evidence suggests that this goal is increasingly becoming unsustainable, as presented by existent evidence. For example, as shown in a report by Statistics South Africa (2014) in 1994, while the official unemployment rate in South Africa was 22%, the figure had since increased steadily to 25% by December 2014, making South Africa the country with the ninth highest unemployment rate the world. The report further outlines that while the number of employed people has increased by up to 6, 1 million since 1994, the number of unemployed people has also increased exponentially by a total of 3, 4 million. This depicts that the percentage growth in the number of unemployed people, which stands at 73, 3%, has been greater than the growth in the number of employed people, which stands at 69, 2%. Another report by the International Labour Organisation (2014) projected that South Africa is likely to experience the eighth highest unemployment rate in the world in the year 2015. These developments show that whilst the “more jobs to the people” mantra from politicians continues, the actual facts on the ground bear testimony to a different reality.
The unemployment situation in South Africa is exacerbated by the fact that unemployment is higher among the black majority, than among any other race in the country (Statistics South Africa, 2012). Given that most of the unemployed are black people who reside in townships, it could be mentioned that they have not been spared by the avalanche of adverse effects that originate from being unemployed. Examples of such specific negative experiences by unemployed people include feeling that life is empty, financial difficulties, boredom, uncertainty about the future, loneliness, family conflicts, having nothing productive to do, decreased self-worth and self- esteem and social isolation, among others (de Witte et al., 2012). Additionally, unemployment in South Africa is accompanied by extreme destitution, which is aggravated by the inability of the South African government to support such people with social grants and other forms of unemployment benefits (Contogiannis, 2007). Coupled with the high unemployment rate, which makes it difficult for people to find jobs, those that find themselves in this predicament are usually left to the clemency of fate (Ribton-Turner & De Bruin, 2006). It appears natural then for people in townships the like of Sebokeng, Sharpville and Sicelo, to place employment status on a higher pedestal than other socio-economic predictors of satisfaction with life. It is an indication of their attitudes towards the severity of the negative circumstances surrounding unemployment, which they are exposed to daily in South Africa.
5.2. Rural/Urban Residence and Satisfaction with Life
An additional interesting result in the study was that rural residence had a negative effect on satisfaction with life. This result is rather unusual in the sense that previous research, (e.g. Combs, 2006; Graham & Felton, 2006; Haug, 2008; Wood et al., 2010) established that living in rural areas leads to greater satisfaction with life. These unconventional results imply that people living in rural South Africa face challenges that tend to limit their satisfaction with life. Traditionally, a rural home was considered an important part of life in the African family, so important that most black people would have a city home and a rural home (Walker et al., 2010). To some extent the recent debacle in which president Zuma is alleged to have siphoned a lot of government funds and channelled them towards the upgrading of his rural Nkandla home (Madonsela, 2014). This act serves as a specimen of the importance of the rural home to the African man.
Previously African people held rurality in high regard, to the extent that important festive seasons such as Christmas were spent in the rural areas (Gopaul, 2006). People in rural areas were regarded as special family consultants who could be called upon for guidance and direction during times of need (Gardiner, 2008). However, with the dawn of the modern age, some of these practices have progressively lost their appeal amongst black people. As more black people adopted the Western culture and its values, they inadvertently unbundled themselves from certain traditionally held values as regards the importance of the rural home and its significance to their modern African culture (Twala, 2012). Urbanisation is considered to be more fashionable by most black people and has even triggered massive rural to urban migration in South Africa. In the 2011 census (Statistics South Africa, 2012) lifetime migration patterns revealed that most provinces that were affected by outmigration between 2001 and 2011 recorded many moving from rural areas to urban areas. Another report by Peberdy (2012) shows that two thirds of South Africans now live in urban areas. These developments show that urban life and its glitters appears to be more appealing to black people, resulting in the loss of much of the respect and importance they previously attached to rurality and its tenets. Therefore, the dominant attitude among black South Africans is that the urban space offers better satisfaction with life than the rural area.
It is possible that the situation mentioned above is aggravated by the slow pace of rural development in South Africa, making rural life less appealing for many people. Whilst it appears that the South African government has attempted to improve both the available amenities as well as social welfare in rural South Africa, there are still many challenges remaining (Wisborg et al., 2013). A recent study by Jacobs and Hart (2014) highlights that rural-based South Africans are presently beleaguered by a constellation of challenges related to basic survival. These include the lack of food security, unmet housing needs, ineffective service delivery, infrastructural decay, youth unemployment, among other socio-economic depravities. As a typical case, in 2013, an opposition party known as the Economic Freedom Fighters identified an impoverished family living as neighbours to President Zuma’s highly opulent Nkandla home and opted to build a better shelter for that family (Mthethwa & Savides, 2014). Theirs was a case of giving publicity of the real picture of rural underdevelopment and misery in South Africa. Still, other important socio-economic indicators, such as infant mortality rates, death rates, literacy rates and per capita income, among others, show a great disfavour to rural South Africa when compared to urbanised South Africa (Parliamentary Monitoring Group, 2012). It is not surprising then, that those who dwell in certain urban places, such as Sicelo, who are aware of the adversities associated with residing in the rural areas, will uphold that it is better to reside in urban areas instead. They cannot fathom how those living in rural South Africa are managing to cope with life, in the wake of such manifest hardships. Hence the dominant perception that satisfaction with life is less in rural areas than in urban areas.
6. Conclusions and Recommendations
The aim of this study was to examine satisfaction with life in South Africa by analysing the association between four economic factors, namely employment status, rural/urban residence, public service delivery and poverty on satisfaction with life amongst the urban poor. The study reveals that employment status, public services delivery and poverty significantly predict satisfaction with life amongst the urban poor. Employment status emerged as the most important predictor of satisfaction with life than the other factors. It also emerged that the urban poor perceive that life is better in urban areas than in rural areas. Overall, the study compares favourably with similar studies conducted previously.
In order to create more employment opportunities it is necessary for government to focus on initiatives that continuously grow the South African economy. One such initiative is to stimulate more foreign direct investment (FDI), a practice in which foreign investors are encouraged to invest in another country (Sandrey, 2013), in this case South Africa. FDI can be enhanced through practices such as enacting tax concessions in such areas as corporate tax as well as individual income tax, financial subsidies for investment, preferential tariffs, government support for research and development projects assistance with relocation and expatriation, among others (Van der Lugt et al., 2011). With such foreign investments additional employment opportunities will be created, thereby decreasing the unemployment rate.
Further employment opportunities can be created by protecting the South African industry by minimizing the importation of cheap imports, especially from China, which are harming the local industry by creating unfair competition (Woltmann, 2013). Furthermore, instead of delegating the creation of jobs to the private sector, the South African government should create more employment opportunities by increasing government spending in national projects such as infrastructural construction and rehabilitation (e.g., bridges, roads, government buildings). Many people, both skilled and unskilled, can be employed in such projects.
The key to altering the prevailing impression that living in South African rural areas leads to dissatisfaction with life lies in improving the standard of living in rural South Africa. People living in rural areas should enjoy similar comforts and privileges as those living in urban areas. Rural areas in South Africa still merit better schools, modern road networks, improved sanitary facilities, improved health centres, modern shopping centres, better access to clean tap water and access to electricity, as well as other public utilities. Private sector investment in rural areas should be encouraged such that companies can build manufacturing plants, depots, warehouses and other facilities, which can help to create jobs and bring improved services to rural areas through urbanisation. With such developments in place it is possible that those in South African rural areas will become more satisfied with life than those in urban areas, which is the typical pattern elsewhere.
Since the improvement of the delivery of public services is associated with higher satisfaction with life, it follows that satisfaction with life in South African townships can be improved, among other things, by improving the quality of public services rendered there. Stricter policing of public officials is imperative to reduce cases of corruption in the awarding of tenders. In cases where some are convicted of such crimes, stiffer penalties have to be enforced, which can send warning signals to those intending to participate in corrupt activities. Since much of the delivery of public services is conducted at the local government level, it is crucial to focus specifically on challenges facing municipalities which are affecting their smooth operations.
It is also recommended that the public procurement system, as characterised by the Preferential Procurement Policy Framework (Broad Based Black Economic Empowerment) be streamlined to make it more effective towards the provision of services to the public. In order to ensure that civil servants are committed to the eight Batho Pele principles which are consultation, service standards, redress, access, courtesy, information, transparency and value for money (KwaZulu Natal Department of Public Works, 2014), continuous training and development of civil servants who work in government is required. Additionally, various motivational strategies need to be implemented in order to intensify the morale of these civil servants in their role of dispatching services to the public. In this manner public servants will be able to be consistently dedicated to rendering an effective and efficient service to the public.
The South African government could seek increased financial support from Bretton-Woods institutions such as the International Monetary Fund (IMF) and the World Bank. Together with budgetary allocations from the fiscus, the funds obtained from these funding institutions could be channelled towards poverty alleviation programs that include, amongst others, addressing gender inequality, dealing with communicable diseases that include HIV/AIDS, tuberculosis, pneumonia and others that are prevalent amongst poor communities, improving the social welfare system and rural reform mechanisms. Another important initiative could be to encourage good governance in state institutions in South Africa. This could be attained by monitoring the activities of government officials in order to ensure that corruption is addressed. The efforts of non-governmental organisations (NGOs) could also be harnessed such that they complement government efforts towards poverty reduction in South Africa.
The fiscal policy needs further amendments in order to make it more pro-poor. Income tax brackets should be widened further to ensure that low income earners are subjected to less income tax. The current situation in which people earning between R0 and R181 900 per annum are subjected to a blanket income tax of 18% for each R1 (South African Revenue Service, 2015) is undesirable since it imposes a heavy income tax burden on even the lowest of income earners. A further assessment of poverty status in South Africa is necessary, in order to clearly distinguish between those that are poor and those that are not poor. For instance, the poverty datum line in the country is not very clear, since South Africa does not have a single poverty line but uses three poverty metrics namely the food poverty line, as well as upper- and lower-bound lines to assess the total cost of living in the country (Statistics South Africa, 2008). It is therefore not very easy to determine who is poor and who is not poor amongst South Africans although the reality is that poverty exists at a significant level in the country.
Certain commodities that are used by low income earners should be added to the basket of products that are exempt from value added tax. These include, among others, commodities such as sanitary ware for women, used clothing, education instruments such as pencils and writing pens and common medicines.
The Reconstruction and Development Program (RDP) Housing Scheme should be maintained in order to provide free housing to poor South Africans, but efforts should be made to address current glitches facing the program. For example, multiple ownership of RDP houses should not only be discouraged, but outlawed so that perpetrators of such practices are brought to book. The possibilities of free education, free health care and free transportation or other public services could be explored. However, caution is necessary in order to limit the possibilities of engendering of the entitlement mentality amongst South Africans.
References
Adato, M.; Carter, M.R. & May, J. (2004). Sense in sociability? Social exclusion and persistent poverty in South Africa. Department of Agricultural & Applied Economics, University of Wisconsin-Madison, Staff Paper, No. 477, http://www.basis.wisc.edu/live/basbrief25.pdf. Date of access: 16 Dec 2014.
Akinboade, O.A.; Kinfack, E.C. & Mokwena, M.P. (2012). An analysis of citizen satisfaction with public service delivery in the Sedibeng district municipality of South Africa. International Journal of Social Economics, 39(3), pp. 182–199.
Amin, S.; Das, J. & Goldstein, M. (2008). Are you being served? New tools for measuring service delivery. World Bank, Washington, D.C.
Anderson, C.; Kraus, M.W.; Galinsky, A.D. & Keltner, D. (2012). The local-ladder effect: social status and subjective well-being. Psychological Science, 23(7), pp. 764–771.
Binder, M. & Coad, A. (2012). Life satisfaction and self-employment: a matching approach. Small Business Economics, 40(4), pp. 1009–1033.
Bookwalter, J.; Fitch-Fleischmann, B. & Dalenberg, D. (2011). Understanding Life-Satisfaction Changes in Post-Apartheid South Africa. MPRA Paper No. 34579. http://mpra.ub.uni-muenchen.de/34579/. Date of access: 7 Jul 2014.
Botha, F. & Booysen, F. (2012). The relationship between marital status and life satisfaction among South African adults. Acta Academica, 45(2), pp. 150–170.
Bhorat, H. & Van der Westhuizen, C. (2012). Poverty, Inequality and the Nature of Economic Growth in South Africa. DPRU Working Paper 12/151. Cape Town: Development Policy Research Unit, University of Cape Town.
Calvo, E. & Mair, C. (2014). The Multiplicative Effect of Individual- And Country-Level Unemployment on Life Satisfaction in 97 Nations (1981-2009). Working Papers 49, Facultad de Economia Empresa, Universidad Diego Portales. Chile. https://ideas.repec.org/p/ptl/wpaper/ 49.html. Date of access: 4 Nov 2014.
Carta, M.G.; Aguglia, E.; Caraci, F.; Dell’Osso, L.; Di Sciascio, G.; Drago, F.; Del-Giudice, E.; Faravelli, C.; Hardoy, M.C.; Lecca, M.E.; Moro, M.F.; Calò, S.; Casacchia, M.; Angermeyer, M.C. & Balestrieri, M. (2012). Quality of life and urban/rural living: preliminary results of a community survey in Italy. Clinical Practice and Epidemiology in Mental Health, 8, pp. 169–174.
Cheng, G.H.L. & Chan, D.K.S. (2008). Who suffers more from job insecurity? A meta-analytic review. Applied Psychology-An International Review, 57(2), pp. 272–303.
Clark, A.E.; Knabe, A. & Rätzel, S. (2010). Boon or bane? Others’ unemployment, well-being and job insecurity. Labour Economics, 17(1), pp. 52–61.
Clark, A.E.; Kristensen, N. & Westergård-Nielsen, N. (2009). Job satisfaction and co-worker wages: status or signal? Economic Journal, 119, pp. 430–447.
Combs, S. (2006). Rural choice advantageous. Therapy Today, 17(1), pp. 12–14.
Contogiannis, T. (2007). Economic growth, constraints and prospects for the South African economy. Discourse, 35(2), pp. 38–44.
Davids, Y.D. (2006). Poverty in South Africa: extent of access to food and income. HSRC Review, 4(4), pp. 16–17.
Deaton, A. (2008). Income, health and well-being around the world: evidence from the Gallup World Poll. Journal of Economic Perspectives, 22(2), pp. 53–72.
Demirel, H. (2014). An investigation of the relationship between job and life satisfaction among teachers. Procedia - Social and Behavioral Sciences, 116, pp. 4925–4931.
De Witte, H., Rothmann, S. & Jackson, L.T.H. (2012). The psychological consequences of unemployment in South Africa. South African Journal of Economic and Management Sciences, 15(3), pp. 236–252.
Diener, E.D.; Emmons, R.A.; Larsen, R.J. & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), pp. 71–75.
Diener, E.D.; Helliwell, J.F. & Kahneman, D. (2010). International differences in wellbeing. New York: Oxford University Press.
Diener, E.D.; Tay, L. & Myers, D. (2011). The religion paradox: if religion makes people happy, why are so many dropping out? Journal of Personality and Social Psychology, 10(1/6), 1278–1290.
Di Tella, R. & MacCulloch, R. (2010). Happiness Adaptation to Income Beyond ‘Basic Needs, in E Diener, J Helliwell, and D Kahneman (eds), International Differences in Well-Being, Oxford: Oxford University Press.
Ebrahim, A.; Botha, F. & Snowball, J. (2013). Determinants of life satisfaction among race groups in South Africa. Development Southern Africa, 30(2), pp. 168–185.
Gardiner, M. (2008). Education in rural areas. Issues in Education Policy Number 4. Johannesburg: Centre for Education Policy Development. http://www.cepd.org.za/files/CEPD_ Issues_in_education_Education_in_rural_areas.pdf. Date of access: 27 May 2015.
Glaeser, E.L.; Gottlieb, J.D. & Ziv, O. (2014). Unhappy Cities. NBER Working Paper 20291.
Gopaul, M. (2006). The significance of rural areas in South Africa for tourism development through community participation with special reference to Umgababa, a rural area located in the province of KwaZulu-Natal. Master’s Dissertation. University of South Africa. http://uir.unisa.ac.za/bitstream/handle/10500/2159/dissertation.pdf. Date of access: 27 May 2015.
Graham, M.C. & Felton, A. (2006). Inequality and happiness: insights from Latin America. Journal of Economic Inequality, 4(1), pp. 237–268.
Habib, A. (2010). The state of the nation and its public service in contemporary South Africa: a critical reflection. Administratio Publica, 18(3), pp. 2–24.
Hamel, E.; Brodie, M. & Morin, R. (2005). A survey of South Africa ten years into the new democracy. International Journal of Public Opinion Research, 18(3), pp. 351–363.
Harper, J. (2011). Public Perceptions of and Attitudes towards Community Recreation and Parks Services: In Canada, Recreation and Parks Matter. 2011 National Recreation Summit. http://lin.ca/sites/default/files/attachments/Harper_Jack%5B1%5D.pdf. Date of access: 13 November 2014.
Haug, S. (2008). Migration networks and migration decision-making. Journal of Ethnic and Migration Studies, 34(4), 585–605.
Hoogeveen, J.G. & Özler, B. (2006). Poverty and inequality in post-apartheid South Africa: 1995 – 2000. In Bhorat, H. and Kanbur, R. (Eds.), Poverty and policy in post-apartheid South Africa. Cape Town: Human Sciences Research Council: pp. 59–94.
International Labour Organisation. (2014). Global Employment Trends, 2014. Risk of a Jobless Recovery. http://www.ilo.org/wcmsp5/groups/public/dgreports/dcomm/publ/documents/ publication/wcms_233953.pdf. Date of access: 21 May 2015.
Jacobs, P. & Hart, T. (2014). Pro-Poor Rural Development in South Africa. http://krieger.jhu.edu/arrighi/wp-content/uploads/sites/29/2015/03/Propoor-Rural-Development_ SoN2014_Ch8.pdf. Date of access: 26 May 2015.
Jenkins, S.P.; Brandolini, A.; Micklewright, J. & Nolan, B. (2011). The Great Recession and the distribution of household income. Conference presentation, Incomes across the Great Recession, XIII European Conference of the Fondazione Debenedetti,10 September 2011, Palermo, Sicily.
Knabe, A. & Rätzel, S. (2011). Scarring or scaring? The psychological impact of past unemployment and future unemployment risk. Economica, 78(310), pp. 283–293.
KwaZulu Natal Department of Public Works. (2014). The Batho Pele Way. http://www.kznworks.gov.za/Portals/0/Docs/The%20batho%20pele%20way.pdf. Date of access: 14 June 2015.
Lelkes, O. (2010). Social participation and social isolation. in Atkinson, A.B. & Malier, E. (eds.). Income and living conditions in Europe. Eurostat, Luxembourg, pp. 217–240.
Luechinger, S.; Meier, S. & Stutzer, A. (2010). Why does unemployment hurt the employed? Evidence from the life satisfaction gap between the public and the private sector. Journal of Human Resources, 45(4), pp. 998–1045.
Madonsela, T. (2014). Secure in comfort. A report on an investigation into the allegations of impropriety and unethical conduct relating to the installation and implementation of security measures by the Department of Public Works at and in respect of the private residence of President Jacob Zuma at Nkandla in the KwaZulu Natal Province. http://www.publicprotector.org/library%5Cinvestigation_report%5C2013-14%5CFinal%20 Report%2019%20March%202014%20. Date of access: 26 May 2015.
Managa, A. (2012). Unfulfilled promises and their consequences: a reflection on local government performance and the critical issue of poor service delivery in South Africa. Africa Institute of South Africa. Briefing No 76. May 2012. http://www.ai.org.za/wp-content/uploads/downloads/2012/05/No.-76.-Unfulfilled-promises-and-their-consequences.-A-reflection-on-local-government-performance-and-the-critical-issue-of-poor-service-delivery-in-South-Africa pdf. Date of access: 13 Nov 2014.
Martin, K.D. & Hill, R.P. (2012). Life satisfaction, self-determination, and consumption adequacy at the bottom of the pyramid. Journal of Consumer Research, 38(6), pp. 1155–1168.
Meyer, D.F. (2014). Job creation, a mission impossible? The South African Case. Mediterranean Journal of Social Sciences, 5(16), pp. 65–77.
Møller, V. (1996). Household satisfaction: past, present and future perspectives. Development Southern Africa, 13, pp. 237–254.
Møller, V. (1999). South African quality of life trends in the late 1990s: major divides in perceptions. Society in Transition, 30, pp. 93–105.
Møller, V. & Devey, R. (2003). Trends in living conditions and satisfaction among poorer older South Africans: Objective and subjective indicators of quality of life in the October. Development Southern Africa, 20(4), pp. 457–476.
Møller, V. & Jackson, A. (1997). Perceptions of service delivery and happiness. Development Southern Africa, 14, pp. 169–184.
Morrison, P. (2011). Local expressions of subjective well-being: the New Zealand experience. Regional Studies, 45(8), pp. 1039–1058.
Mthethwa, B. & Savides, M. (2014). Malema Nkandla stunt backfires - family had two others. Times Live, 26 January. http://www.timeslive.co.za/politics/2014/01/26/malema-nkandla-stunt-backfires-family-had-two-others. Date of access: 26 May 2015.
Naude, W.; Rossouw, S. & Krugell, W. (2008). The non-monetary quality of city life in South Africa. Habitat International, 33(4), pp. 319-326.
Neilson, C.; Contreras, D. & Hermann, J. (2008). The dynamics of poverty in Chile. Journal of Latin American Studies, 40(2), pp. 251–273.
Neff, D. (2009). The Satisfied Poor: Evidence from South India. Brooks World Poverty Institute (BWPI). Working Paper 7109. Manchester: The University of Manchester, BWPI. http://www.bwpi.manchester.ac.uk/medialibrary/publications/working_papers/bwpi-wp-7109.pdf. Date of access: 9 Nov 2014.
Nleya, N. (2011). Linking service delivery and protest in South Africa: an exploration of evidence from Khayelitsha. Africanus 50(1), pp. 3–13.
Opocher, A. & Steedman, I. (2009). Input price-input quantity relations and the Numéraire. Cambridge Journal of Economics, 3(5), pp. 937–948.
Özer, B. & Sackes, M. (2011). Effects of academic procrastination on college students’ life satisfaction. Procedia Social and Behavioral Sciences, 12, pp. 512–519.
Pauw, K. & Mncube, L. (2007). The Impact of Growth and Redistribution on Poverty and Inequality in South Africa. DPRU Working Paper 07/126. Cape Town: Development Policy Research Unit, University of Cape Town.
Parliamentary Monitoring Group. (2012). Rural Development and Land Reform Budgetary Review and Recommendation Report. https://pmg.org.za/committee-meeting/16681/. Date of access: 26 May 2015.
Peberdy, S. (2012). Synthesis Report: Setting the Scene: Migration and Urbanisation in South Africa. http://www.gcro.ac.za/sites/default/files/News_items/Xeno_reports_July2010/synthesis/3_Setting_the_scene.pdf. Date of access: 26 May 2015.
Posel, D.R. & Casale, D.M. (2011). Relative standing and subjective well-being in South Africa: The role of perceptions, expectations and income mobility. Social Indicators Research, 104, pp. 195–223.
Pfann, G.A. (2006). Downsizing. Review of Economics and Statistics, 88(1), pp. 158–170.
Powdthavee, N. (2012). Jobless, friendless, and broke: what happens to different areas of life before and after unemployment? Economica, 79(315), pp. 557–575.
Rashid, A.K. & Azizah, A.M. (2011). Prevalence of hypertension among the elderly Malays living in rural Malaysia. Australas Medical Journal, 4(6), pp. 283–290.
Ribton-Turner, L. & De Bruin, G.P. (2006). The unemployed mid-career adult: stressors and support. South African Journal of Industrial Psychology, 32(2), pp. 31–38.
Sandrey, R. (2013). Foreign direct investment in South Africa: the BRIC perspective. Tralac Working Paper. file:///C:/Users/20090419/Documents/NWU%20PhD%20Finalisation%20June% 202015/FDI%20in%20SA%2020130222.pdf. Date of access: 10 June 2015.
Schatz, E.; Gómez-Olivé, X.; Ralston, M.; Menken, J. & Tollman, S. (2013). The impact of pensions on health and wellbeing in rural South Africa: does gender matter? Social Science and Medicine, 75(10), pp. 1864–1873.
South African Revenue Service. (2015). Rates of Tax for Individuals. http://www.sars.gov.za/Tax-Rates/Income-Tax/Pages/Rates%20of%20Tax%20for%20Individuals.aspx. Date of access: 25 September 2015.
Statistics South Africa. (2008). Measuring poverty in South Africa Methodological Report on the Development of the Poverty Lines for Statistical Reporting. Technical Report D0300. https://www.statssa.gov.za/publications/D0300/D03002008.pdf. Date of access: 25 September 2015.
Statistics South Africa. (2012). Statistical Release P0307: Marriages and divorces, 2011. Statistics South Africa. 10 December 2012. http://www.statssa.gov.za/ publications/P0307/P03072011.pdf. Date of access: 19 May 2015.
Statistics South Africa. (2014). Employment, Unemployment, Skills and Economic Growth: An Exploration of Household Survey Evidence on Skills Development and Unemployment between 1994 and 2014. http://www.statssa.gov.za/presentation/Stats%20SA%20presentation%20on% 20skills%20and%20unemployment_16%20September.pdf. Date of access: 21 May 2015.
Steiber, N. (2013). Economic crisis, quality of work and social integration: the European experience in the great recession. European Social Survey and Organisation of Economic Co-operation and Development Policy Seminar. Paris, France. 21 January.
Swart, I. (2013). South Africa’s service-delivery crisis: from contextual understanding to diaconal response. HTS Teologiese Studies/Theological Studies 69(2), Art. #1996, 16 pages. http://dx.doi.org/10.4102/hts.v69i2.1996. Date of access: 9 Nov 2014.
Tang, Y. (2012). The influences of patient’s satisfaction with medical service delivery, assessment of medical service, and trust in health delivery system on patient’s life satisfaction in China. Health and Quality of Life Outcomes, 10(111), 1–13.
Twala, C. (2012). The impact of rural development on poverty reduction in a post-apartheid South Africa: An Ecological Discourse. Journal of Human Ecology, 40(3), 213–221.
Yu, D. (2009). The comparability of Census 1996, Census 2001 and Community Survey 2007. Stellenbosch Economic Working Papers: 21/09. Stellenbosch: Stellenbosch University.
Yu, D. (2013). Poverty and Inequality Estimates of National Income Dynamics Study Revisited. Stellenbosch University Economic Working Paper: WP05/2013. Stellenbosch: Stellenbosch University.
Van der Berg, S.; Burger, R.; Louw, M. & Yu, D. (2007). A Series of National Accounts-Consistent Estimates of Poverty and Inequality in South Africa. Stellenbosch Economic Working Papers: 09/07. Stellenbosch: Stellenbosch University.
Van der Berg, S. & Du Toit, L. (2007). Poverty trends since the transition: what we know. Stellenbosch: Stellenbosch University.
Van der Lugt, S.; Hamblin, V.; Burgess, M. & Schickerling, E. (2011) Assessing China’s Role in Foreign Direct Investment in Southern Africa. A Report Prepared for the Centre for Chinese Studies at Stellenbosch University. http://www.ccs.org.za/wp-content/uploads/2011/03/Final-report-CCS-March-2011-CCS.pdf. Date of access: 10 June 2015.
Van Praag, B.M.S. (2011). Well-being inequality and reference groups: an agenda for new Research. Journal of Economic Inequality, 9(1), 111–127.
Walker, C.; Bohlin, A. & Hall, R. (2010). Land, memory, reconstruction, and justice: perspectives on land claims in South Africa. Ohio: Ohio University Press.
Wisborg, P.; Hall, R.; Shirinda, S. & Zamchiya, P. (2013). Farm workers and farm dwellers in Limpopo, South Africa: struggles over tenure, livelihoods and justice. Journal of Agrarian Change, 13(1), pp. 47-70.
Woltman, S. (2013). Impacts of China’s investments in South Africa. Master’s Thesis. Department of Culture and Global Studies. Aalborg University. Denmark. http://projekter.aau.dk/ projekter/files/78933492/Master_Thesis_Sabrina_Woltmann.pdf. Date of access: 10 June 2015.
Wood, A.M.; Taylor, P.J. & Joseph, S. (2010). Does the CES-D measure a continuum from depression to happiness? Comparing substantive and artifactual models. Psychological Research, 177, pp. 120–123.
Wooden, M.D.W. & Drago, R. (2009). Working time mismatch and subjective well-being. British Journal of Industrial Relations, 47(1), pp. 147–179.
Zagozdzon, P., Kolarzyk, E., & Marcinkowski, J.P. (2011). Quality of life and rural place of residence in Polish women: a population based study. Annals of Agricultural and Environmental Medicine, 18(2), pp. 429–432.
1 Head of Department, PhD, D. Tech, Logistics, Faculty of Management Sciences, Vaal University of Technology, South Africa, Address: P. Bag X021, Vanderbijlpark, 1900, South Africa, Corresponding author: chengedzai@hotmail.com.
2 Senior Lecturer, PhD, Faculty of Economic Sciences and Information Technology, Vaal Triangle Campus, North West University, South Africa, Address: PO Box 1174, Vanderbijlpark, 1900, South Africa, E-mail: Daniel.Meyer@nwu.ac.za.
AUDŒ, Vol. 12, no. 5, pp. 33-50
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 4.0 International License.