The Concept of ‘Quality of Life’ in the Context of Economic Performance and Social Progress

Rokicka, Ewa

doi:10.1007/978-3-319-01481-4_2

Cited by 18 publications

(12 citation statements)

References 26 publications

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“…According to Liu 1976 as cited in Rokicka (2014), there are as many definitions of quality of life as there are people. However, the simplest and most straight forward definition is that provided by Delibasic et al (2008) who define quality of life as "the degree of wellbeing felt by an individual or group of people".…”

Section: Nature Of Employment and Quality Of Lifementioning

confidence: 99%

“…Quality of life is influenced by many factors and conditions such as personal and family life, income, employment, working conditions among others (Ruzevicus, 2016). Further, Rokicka (2014) asserts that even though there is no universally accepted definition of quality of life covering all aspects of the phenomenon, this should not be an obstacle preventing its measurement. Albouy, Godefroy, and Lollivier (2012) recommend that, measuring a person's quality of life should entail assessing their situation in terms of several different dimensions such as in material terms, health, housing conditions, insecurity among others then deducing whether they are in a position to have a "satisfactory" quality of life.…”

Section: Nature Of Employment and Quality Of Lifementioning

confidence: 99%

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Nature of Employment and Its Effect on the Quality of Life of Employees in SMTEs in Mombasa County, Kenya

Pepela¹

2018

JTHM

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Tourism is an important economic sector globally contributing to economic development of many countries. Though the tourism sector has been credited with the creation of millions of jobs to populations' worldwide, there has been wide-ranging apprehension on its capacity to improve the populaces' quality of life. This study therefore sought to establish whether the nature of jobs created had an influence on quality of life of employees working in the STMES found in Mombasa County, Kenya. A mixed methods research design using the embedded approach was adopted. Primary data was collected using researcher administered semi-structured questionnaires and semi-structured interviews. The target population was the 1,572 employees in the SMTEs. Probability Proportional to Size Sampling was used for the SMTEs employees where a total of 464 employees formed the sample size while purposive sampling was used for interview respondents. Linear regression was used to analyse quantitative data while tables were used for data presentation. The nature of employment had a statically significant effect on employees' quality of life (R = 0.881; P = 0.000; V = 0.804). This finding has implications for developing a regulatory framework that would enable SMTEs to create productive employment in that, it is a wake-up call to the government to re-look at the implementation of the economic blue print (Vision 2030) and identify functional implementation strategies it can use to ensure its overall goal of providing a high quality of life for citizens is achieved.

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Section: Nature Of Employment and Quality Of Lifementioning

confidence: 99%

Section: Nature Of Employment and Quality Of Lifementioning

confidence: 99%

Nature of Employment and Its Effect on the Quality of Life of Employees in SMTEs in Mombasa County, Kenya

Pepela¹

2018

JTHM

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“…The GDP is calculated using the aggregate expenditure formula as described by the equation, GDP = C + G + I + NX, where C = all private consumptions, or consumer spending in the economy as a whole, G = the sum of all government spending, I = the sum of all the investment, including businesses capital expenditures and NX = the total net exports, calculated as NX = all values of exports -all values of imports. The GDP is calculated quarterly whereas the unemployment rates are calculated monthly and invariable, some corrections are expected for the previous monthly rates as we often see if more data become available (Rokicka, 2013). Inflation is affected by both unemployment and money growth.…”

Section: Mathematics Of Gdpmentioning

confidence: 99%

Managing the Three Pillars of the Economy for Sustainable Growth

Espinoza¹,

Goonatilake²,

Herath³

2018

JEDS

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The highest unemployment rate in the United States (US), 24.9%, was reported during the great depression from August 1929 to June 1938, and it remained above 10% until 1941. The US unemployment rate reached another high of 9.8% in 2009. Some market watchers predict it will occur again in the next two years. The economy's slow growth causes higher rates of unemployment with declining gross domestic product (GDP). Fewer jobs mean less income for US citizens, and less money available to spend leads to less consumption. As a result, GDP begins to decline. As GDP declines, businesses have fewer funds leading to a reduction of payroll and reducing personnel to reduce cost generated by salaries and wages. This leads to the belief that any of these two items are correlated. That is to say, that they vary together as the economy grows, providing a linear model for the quantities. The distribution of the differences between unemployment (UNMP), inflation (INF), and GDP, considering the quantities, UNMP-INF is right skewed and that of INF-GDP exhibits symmetry, while they both are unimodal. Using the ARIMA (2, 1, 0) Model we forecast GDP growth for the year 2018 and a few more years after that. As of now, it appears that the GDP estimate obtained for the year 2018 fits just about right.Businesses find themselves in the apathy of hiring personnel or waiting until the company is on a stable footing concerning the economic situation. The government has observed the unemployment rates in the US since the stock market crash in 1929 as a way to prevent further damage to the US economy. It is often said, "When the unemployment rate reaches 6.0%, the government steps in" (Amadeo, 2018). If the unemployment rate is too high, the government opts to use a monetary fund to counteract the possible damages to the economy. If unemployment persists, the US Congress also uses fiscal policy, and it can even create employments and give out benefits to those in need. Thus, it is important to have a detailed understanding of these quantities.

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“…The stimulus to research into the measurement of human development, with man and not income in the centre of attention (human-centred development) in the 90s, was the concept of Amartya Sen. He considered the concept of needs to be related to thinking in terms of what satisfies humans (measured by GDP), rather than what life we can live and actually live (the concept of capabilities) (Rokicka, 2014). "Welfare of a person can be understood as the quality of life…, life is a collection of 'functionings', which can be very diverse, ranging from as elementary as proper nutrition, enjoyment of good health…, to more complex achievementshappiness, sense of dignity, participation in society" (Rokicka, 2014).…”

Section: The Human Capabilities Approach To the Study Of Well-beingmentioning

confidence: 99%

“…He considered the concept of needs to be related to thinking in terms of what satisfies humans (measured by GDP), rather than what life we can live and actually live (the concept of capabilities) (Rokicka, 2014). "Welfare of a person can be understood as the quality of life…, life is a collection of 'functionings', which can be very diverse, ranging from as elementary as proper nutrition, enjoyment of good health…, to more complex achievementshappiness, sense of dignity, participation in society" (Rokicka, 2014). An important characteristic of the capability approach is its emphasis on individuals' freedom to make decisions for their own development.…”

Section: The Human Capabilities Approach To the Study Of Well-beingmentioning

confidence: 99%

The System of Well-being Indicators in the Russian Arctic Regions

Rudenko¹,

Didenko²

2016

The European Proceedings of Social and Behavioural Sciences

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Our paper is the interpretation of the indicators of Arctic Human Development Report taking into account the availability of data in the Russian statistics. We first review theoretical concepts of well-being and quality-oflife with circumpolar-specific frameworks. We then discuss the conceptual basis for human capabilities approach expanding the category of human potential for the Arctic regions. Having analyzed the up-to-date systems of well-being indicators we conclude that the social and demographic sphere of the Arctic regions may be described by a set of indicators covering different aspects of quality-of-life: demography, health, social security, education, culture, leisure, and so on. The system of social and demographic indicators of Arctic regions is finally proposed. All presented indicators of human well-being fall within six domains of health, education, material well-being, cultural vitality, fate control and natural resource and environmental sustainability. The problems of municipal statistics in Russia are also discussed.

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The Concept of ‘Quality of Life’ in the Context of Economic Performance and Social Progress

Cited by 18 publications

References 26 publications

Nature of Employment and Its Effect on the Quality of Life of Employees in SMTEs in Mombasa County, Kenya

Nature of Employment and Its Effect on the Quality of Life of Employees in SMTEs in Mombasa County, Kenya

Managing the Three Pillars of the Economy for Sustainable Growth

The System of Well-being Indicators in the Russian Arctic Regions

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