Abstract

Globally, individuals seek happiness, but not everybody is happy. Economic reasoning suggests that rising incomes with expansions in GDP enhance the quality of life and subjective well-being. This paper examines the influences on individual happiness, using ordinal logistic regression and chi-square analyses. Based on the findings of a small case study, the chi-square test indicated that a significant relationship exists between gender, education, ethnicity, children, marital status, employment relations, income and self-reported happiness. The study also found that, on average, happier people tended to be educated, married with children, and treated fairly at work. But having too many children produced a decrement in individual happiness. The ordinal regression results indicate that an individual’s education, gender, age distribution and work environment are influential in producing higher levels of happiness. Entrepreneurs were found to have a significantly higher mean level of happiness than employees. In the workplace, individuals who experienced personal growth and were able to contribute their ideas tended to be happier, relative to others who perceived themselves to be ‘restricted’.

Highlights

  • The search for individual happiness and a better life is a goal sought after in both rich, developed and poor, developing countries

  • This paper examines the influences on happiness with reference to different groups, on the basis of a survey relating to respondents’ subjective well-being in central Pietermaritzburg, the capital of the KwaZulu-Natal province, South Africa

  • It is the subjects who make the appraisal of their subjective well-being or happiness, and who are deemed to be the best judges of their true level of life satisfaction

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Summary

Introduction

The search for individual happiness and a better life is a goal sought after in both rich, developed and poor, developing countries. The New Foundation Economics indicates that while South Africa’s ‘Happy Planet’ index was a low 28.2 in 2013: its citizens’ experienced well-being was at 4.7, relatively lower than those of the U.K (7) or India (5) These figures reflect that individuals in South Africa are currently experiencing, on average, a reduced level of life satisfaction. The paper examines whether there are correlations between individual happiness, gender, education, ethnicity, marital status, children, work function, income and employment status. This is done by using the exact chi-square test. The last section covers a discussion of the results and concludes with some happiness-enhancing suggestions

Literature review
Income and happiness
Work and happiness
Research objectives and methodology
Sample particulars
Descriptive statistics
Differences in average happiness
Chi-square test of independence of factors
Ordinal logistic regression
Limitations of the study
Discussions of results and tentative policy implications
Findings
Conclusion

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