Measurement and determinants of creative capital in Europe

2021 ◽  
Vol 66 (9) ◽  
pp. 1-16
Author(s):  
Julia Bąk ◽  
Sylwia Roszkowska
Keyword(s):  
Quality Of Life ◽  
Statistical Data ◽  
European Countries ◽  
Economic Factors ◽  
Factors Influencing ◽  
Starting Point ◽  
Creative Capital ◽  
Socio Economic Factors ◽  
Empirical Analyses

One of the important factors influencing the development and competitiveness of economies is creative capital. It differs significantly among European countries, which has an influence on income and quality of life. The aim of the research discussed in this article is to determine the level of creative capital in Europe and to identify its determinants. The starting point of the analysis is the 3T theory (talent, technology, tolerance), formulated by Richard Florida, and the concept of a creativity index, which derives from the theory. The concept does not define creative capital precisely, therefore, this article proposes its measures based on statistical data obtained from Eurostat and a synthetic measure of creative capital. Data relating to European countries and covering the period of 2011–2018 were used. Moreover, an attempt was made to determine the level of creative capital by means of socio-economic factors (e.g. the number of people working in creative professions, the structure of the population by age and income, and expenditure on culture). Empirical analyses indicate significant differences in the level of creative capital in Europe. This is mainly influenced by the level of the wealth of economies and the number of people working in creative occupations, while cultural expenditure is less important for the development of creative capital.

scholarly journals A case-control study of medical, psychological and socio-economic factors influencing the severity of chronic rhinosinusitis

2016 ◽  
Vol 54 (2) ◽  
pp. 134-140
Author(s):  
Carl Philpott ◽  
Sally Erskine ◽  
Claire Hopkins ◽  
Emma Coombes ◽  
Naveed Kara ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Rhinosinusitis ◽  
Final Analysis ◽  
Psychiatric Disease ◽  
Economic Factors ◽  
Upper Respiratory Tract ◽  
Tract Infections ◽  
Snot 22 ◽  
Socio Economic Factors

Background: Chronic rhinosinusitis (CRS) is a common and debilitating disorder. Little is known about the epidemiology of this disease. The aims of the study were to identify differences in socio-economic variables and quality of life between patients with chronic rhinosinusitis and healthy controls, to identify any significant associations between CRS and other medical co-morbidities, psychiatric disease or environmental exposure and to explore the experience of CRS from the perspective of CRS sufferers. Methods: Participants were recruited from ENT clinics from 30 centres across the UK. They completed a study-specific questionnaire considering environmental, medical and socio-economic factors, and SF-36 and SNOT-22 scores. All participants with CRS were diagnosed by a clinician and categorised as having CRS (with polyposis, without polyposis or allergic fungal rhinosinusitis (AFRS)). Controls included family and friends of those attending ENT outpatient clinics and hospital staff who had no diagnosis of nose or sinus problems and had not been admitted to hospital in the previous 12 months. Results: A total of 1470 study participants (1249 patients and 221 controls) were included in the final analysis. Highly significant differences were seen in generic and disease-specific quality of life scores between CRS sufferers and controls; mean SNOT-22 score 45.0 for CRS compared with 12.1 amongst controls. There were no clear differences in socioeconomic variables including social class, index of multiple deprivation and educational attainment between cases and controls. Common comorbidities with a clear association included respiratory and psychiatric disorders, with a higher frequency of reported upper respiratory tract infections. Conclusions: CRS is associated with significant impairment in quality of life and with certain medical co-morbidities. In contrast to other common ENT disorders, no socioeconomic differences were found between patients and controls in this study.

Quality of Life in Patients with Schizophrenia: The Impact of Socio-economic Factors and Adverse Effects of Atypical Antipsychotics Drugs

2014 ◽  
Vol 85 (3) ◽  
pp. 357-367 ◽  
Author(s):  
Aurigena Antunes de Araújo ◽  
Diego de Araújo Dantas ◽  
Gemma Galgani do Nascimento ◽  
Susana Barbosa Ribeiro ◽  
Katarina Melo Chaves ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Adverse Effects ◽  
Atypical Antipsychotics ◽  
Economic Factors ◽  
The Impact ◽  
Socio Economic Factors

scholarly journals IDENTIFY SIGNIFICANT INDICATORS FOR A HAPPY CITY

2016 ◽  
Author(s):  
Hamed Mirzan ◽  
Azin Bahreini ◽  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Muhammad Zaly Shah ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Air Pollution ◽  
Geographical Location ◽  
Evaluation Methods ◽  
Facilities Management ◽  
Economic Factors ◽  
Futures Studies ◽  
Socio Economic Factors

Although, happiness has been evaluated by many researchers, there are very limited studies on happy environment, specifically happy cities. In addition, different methods that have been introduced for measuring happiness by previous studies have several major shortcomings. Firstly, happiness is considered equivalent to satisfaction or the quality of life. Secondly, the majority of these methods are not easy to follow and it is difficult to connect them to design process. Furthermore, these methods support only a limited number of indicators and majority of them are not related to the happy environment. Thus, this paper reviews prominent studies on happiness evaluations and happy environment to identify effective indicators for happy cities. It also attempts to highlight current happiness evaluation methods that consider happy environment to determine how various studies assess cities for happiness. The weaknesses and strengths of different evaluation methods are discussed in this paper to propose a better way to assess happy cities. A systematic review is used to identify indicators for happy cities. Overall, socio-economic factors, environmental factors (e.g., air pollution and temperature), geographical location and facilities management are effective variables for happy cities. This study discusses the challenges in happiness evaluation and attempts to introduce new objectives for futures studies. The results of this study can be used to propose strategies to have happier cities.

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