scholarly journals National report 2009-2019 - Rural NEET in Spain

2020 ◽  
Keyword(s):  
Economic Crisis ◽  
Rural Areas ◽  
Urban Areas ◽  
Sharp Decrease ◽  
Rural Youth ◽  
Unemployment Rates ◽  
Graphical Displays ◽  
Early School ◽  
Before And After ◽  
Youth Population

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Spain. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criterion, enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail.The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets.In the last ten years (2009 - 2019) a significant portion of the Spanish youth population has migrated from rural areas to cities and towns. This migration trend could be explained by the economic crisis which impacted upon Spain from 2008 onwards. Data shown in this report makes visible the vulnerability of rural NEET youth to these downturns from 2009 to 2013. In line with this, Early-school leaving (ESLET) and unemployment rates in rural areas were more pronounced in 2013 and the following years for rural youth in comparison with youth living in urban areas and towns. However, in the last two years (2017-2019) there has been a sharp decrease in these indicators placing youth living rural areas, on average, in line with the rest (i.e., an average NEET youth rate in Spain 15% versus 16% for rural areas).

scholarly journals National report 2009-2019 - Rural NEET in Croatia

2020 ◽  
Keyword(s):  
Economic Crisis ◽  
Rural Areas ◽  
Youth Unemployment ◽  
Rural Youth ◽  
Unemployment Rates ◽  
Statistical Procedures ◽  
Before And After ◽  
Youth Population ◽  
Higher Educational Attainment ◽  
Public Datasets

This report presents the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) in Croatia, aged between 15 and 34 years old, in the period from 2009 until 2019. To achieve this goal, the report utilised indicators of youth population, youth em-ployment and unemployment, education and NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criteria, enabling comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further collapsed into age sub-groups and, when possible, in sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involved des-criptive longitudinal analysis, using figures (e.g., line charts) as well as the calculation of abso-lute and relative changes between 2009 and 2013, 2013 and 2019 and 2009 and 2019. These time ranges were chosen to capture the indicators evolution before and after the economic crisis that hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2009 and 2019 rural youth population aged 15 to 24 years has been decreasing in Croatia. Youth unemployment was marked by two distinct periods, one from 2009 to 2013 (with higher rates of youth unemployment) and another from 2013 to 2019 (with the decrease in unemployment rates, with lower unemployment rates in ci-ties and higher in towns and suburbs and rural areas). In the field of education, however, there has been a decrease of the Croatian population with lower levels of education and an increase of the proportion of those with higher educational attainment. Finally, the propor-tion of NEETs in Croatia is higher in rural areas compared to cities and towns and suburbs, revealing territorial inequalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Germany

2020 ◽  
Keyword(s):  
Rural Areas ◽  
Youth Unemployment ◽  
Rural Youth ◽  
Youth Employment ◽  
Early School ◽  
Europe 2020 ◽  
Before And After ◽  
Youth Population ◽  
Low Educated ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Germany. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characte-risation of all indicators adopted the degree of urbanisation as a central criterion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that the rural youth population aged 15 to 24 years significantly increa-sed between 2009 and 2012 and then decreased slightly until 2019. The youth employment rate in Germany is generally increasing, and is at all times significantly higher in rural areas than in cities, towns and suburbs. The reverse trend applies to youth unemployment, which generally decreased in the observed period and which is at all times lowest in rural areas. A look at educational attainment levels showed a slight decline in rural areas of low educated persons between 2009 and 2019, while the proportion of rural youth with medium and high education slightly increased. At the same time, the proportion of early school leavers in rural areas after an increase until 2011, fell sharply and reached the 2009 level again by 2019. Be-ing 9% in 2019, it remains, at least in rural areas, slightly below the 10% target defined by the Europe 2020 strategy. Finally, the proportion of NEETs in Germany is lower in rural areas in all age classes and as a whole decreased significantly from 2009 to 2019.

scholarly journals National report 2009-2019 - Rural NEET in Montenegro

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Early School ◽  
Before And After ◽  
Youth Population ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Edu-cation or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Montenegro. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criterion, enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2011 and 2019, the youth population aged 15 to 29 years has been decreasing in Montenegro. Youth unemployment in rural areas is more noticeable, even though the youth unemployment rate is higher in cities. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications and young people in the category of early school leavers in rural areas between 2011-2019. Finally, the proportion of NEETs in Montenegro is higher in rural areas, compared to urban regions, thus revealing territorial inequalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Bulgaria

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Age Groups ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Early School ◽  
Europe 2020 ◽  
Before And After ◽  
Youth Population ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Bulgaria. To do this, the report utilised indicators of: youth population; you-th employment and unemployment; education; and, NEETs distribution. The characteri-sation of all indicators adopted the degree of urbanisation as a central criterion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the indi-cators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2009 and 2019 the rural youth population aged 15 to 24 years has been increasing in Bulgaria. Although the youth unemployment rate is higher in cities, rural areas faced more difficulties in overcoming the effects of the crisis, particularly among young adults aged over 25 years. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications compared with young people in early school leavers in rural areas between 2009-2019, even though it still remains well above the 10% target defined by the Europe 2020 strate-gy. Finally, the proportion of NEETs in Bulgaria is higher in rural areas, in all age groups with available data, compared to cities and towns and suburbs, thereby revealing territorial inequalities in access to employment and education opportunities

scholarly journals National report 2009-2019 - Rural NEET in Portugal

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Age Groups ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Early School ◽  
Europe 2020 ◽  
Europe 2020 Strategy ◽  
Before And After ◽  
Youth Population

This report outlines in detail the situation of rural youths Neither in Employment, nor in Edu-cation or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Portugal. To do this, the report portrays indicators of: youth population; youth em-ployment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopts the degree of urbanisation as a central criterion, thereby enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail.The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets.The analyses show that between 2009 and 2019 the rural youth population aged 15 to 24 years has been increasing in Portugal. Although the youth unemployment rate is higher in cities, rural areas faced more difficulties in overcoming the effects of the crisis, particularly among young adults aged over 25 years. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications compared with young people in early school leavers in rural areas between 2009-2019, even though it still remains well above the 10% target defined by the Europe 2020 strategy. Finally, the proportion of NEETs in Portugal is higher in rural areas, in all age groups with available data, compared to cities and towns and suburbs, thereby revealing territorial in-equalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Serbia

2020 ◽  
Keyword(s):  
Longitudinal Analysis ◽  
Rural Areas ◽  
Employment Rate ◽  
Statistical Interpretation ◽  
Main Criterion ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Early School ◽  
Youth Population ◽  
National Statistical Office

The situation of rural Youths Neither in Employment nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2010-2019) in Serbia is presen-ted in this report. The main criterion for analysis was the degree of urbanisation, where the comparison was done between rural areas, towns and suburbs, cities, and the whole country. The data available on EUROSTAT and the national Statistical office of Serbia were used as main resources for statistical interpretation. The statistical procedures used in the report rely on descriptive longitudinal analysis, using graphical displays (e.g. overlay line charts) as well as the calculation of proportional abso-lute and relative changes between observed years. The analysis of the youth population in Serbia aged 15-24 years in total as well as the youth population for different degrees of urbaisation, for the period 2010-2019, showed a de-creasing trend. In the period 2014-2019 (which is with available data for the case of Serbia) it can be ob-served that the youth employment rate is increasing in all areas of urbanisation. In contrast to the employment, the level of unemployment in Serbia is constantly decreasing in the period 2014-2019. This trend is similar for all three areas of urbanisation.The decrease in the number of early school leavers is registered in the case of entire Serbia, cities, and rural areas. The only trend of increasing of early school leavers’ rate is recorded for the towns and suburbs, for the observed period 2014-2019.In the period 2010-2019, the NEET rate is declining in Serbia for all three degrees of ur-banisation. In comparison to EU countries, Serbia is still significantly above the European average, but with a tendency of reducing the gap.

Digital Entrepreneurship for Rural Youth: Entrepreneurial Process

2020 ◽  
Vol 11 (1) ◽  
pp. 76-76
Author(s):  
Wawan Dhewanto ◽  
Salma Azzahra ◽  
Vania NR Rhommadhonni ◽  
Fera Yunita
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Industrial Revolution ◽  
Social Inequalities ◽  
Rural Youth ◽  
Young Generation ◽  
Entrepreneurial Process ◽  
Depth Study ◽  
United Nation ◽  
Digital Entrepreneurship

The young generation has a very important role as the nation's next generation, so it needs special attention to make them strong and independent figures. The young age phase is also a determining gate for the future after completing education (United Nation, 2013). Unfortunately, in Indonesia the number of young unemployed reaches 22.48% (Central Bureau of Statistics, 2018). Under these conditions, one of the efforts that can be done to reduce the unemployment rate is through an entrepreneurial program (Fatoki, 2014). This is a challenge for all parties because Rahmatiah et al (2019) states that currently the young generation of Indonesia is still difficult to become entrepreneurs. Moreover, competition in the 4.0 industrial revolution era is getting tougher. For entrepreneurs in rural areas, the challenges faced are greater than those who live in urban areas (Azzahra & Dhewanto, 2017), however by utilizing digital technology and becoming digital entrepreneurs, rural residents are able to compete, minimize social inequalities and accelerate economic growth (Ratten, 2018 ). Only a few young people have the talent and interest to run a business (Ceptureanu & Ceptueanu, 2015). Therefore an in-depth study of the interests and entrepreneurial processes for rural youth to become a digital entrepreneur is needed. This research was conducted in order to have young digital entrepreneurs who came from rural areas to be able to compete in this 4.0 industry era. Thus, the research questions in this study are: (1). Why does rural youth want to be a digital entrepreneur? How is the entrepreneurial process of rural youth to become digital entrepreneurs? Keywords: Digital Entrepreneurship, Entrepreneurial Process, Rural Youth

scholarly journals There Is No Place like Home! How Willing Are Young Adults to Move to Find a Job?

2021 ◽  
Vol 13 (13) ◽  
pp. 7494
Author(s):  
Julia Weiss ◽  
Livio Ferrante ◽  
Mariano Soler-Porta
Keyword(s):  
Young Adults ◽  
Rural Areas ◽  
Urban Areas ◽  
Youth Unemployment ◽  
Rural Youth ◽  
The European Union ◽  
International Mobility ◽  
Persistent Problem ◽  
Self Sufficiency ◽  
Job Opportunities

The European Union (EU) has undergone significant economic crises in recent years. Therein, young people were amongst the hardest hit groups, with youth unemployment rising as high as 50% in some member states. Particularly high rates of youth unemployment were often observed in rural areas, where labour market supply in relation to demand were notably divergent. One of the core pillars of the EU’s agenda is to tackle the persistent problem of youth unemployment. Since the recent crisis, this has been via the “Youth on the Move” initiative, which involves the promotion of intra- and international mobility of young adults in order to gain access to job opportunities. However, what has received little attention so far is the question of what the general willingness of young adults to move is like, and to what extent this varies, for example, depending upon the area they live in. This paper therefore asks if rural youth differ from youth in urban areas in relation to their willingness to move for a job within their country or to another country. Moreover, what influences the general willingness to be mobile? Based on the Cultural Pathways to Economic Self-Sufficiency and Entrepreneurship (CUPESSE) Survey, which includes data on 18–35-year-olds in a sample of 11 European countries, it is shown that living in a rural area is strongly associated with the willingness to move. Furthermore, it shows that rural youth are more willing to move within the country but less willing to move to another country. Based on the presentation of the various factors, which promote or curb mobility readiness, the results make it clear that the success of EU initiatives depends on the preferences and willingness of the target group in question.

Impact of adenotonsillectomy on the quality of life of patients operated on at the Hospital de Clínicas, Paraguay

2021 ◽  
pp. 1-7
Author(s):  
Carlos Mena Canata ◽  
Rebeca Noemí Ruiz Vallejos
Keyword(s):  
Quality Of Life ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Rural Areas ◽  
Urban Areas ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Before And After ◽  
The Impact

The objective of this study is to determine the impact of adenotonsillectomy on the quality of life of postoperative patients.The study is observational, cross-sectional, and retrospective. The files of all postoperative adenotonsillectomy patients in Otorhinolaryngology Service, Hospital de Clínicas, San Lorenzo Paraguay. The Obstructive sleep apnea – 18 questionnaire (OSA 18) was applied, asking patients about symptoms before and after surgery. An effective sample of 143 postoperative patients was obtained. The average age was 6.05 ± 2.08 years, 55.10% (81) were male and 44.89% (66) were female, 65.30% (96) were from urban areas and 34.69% (51) from the rural areas. The t test was performed for means of two paired samples, comparing the results of the Obstructive sleep apnea – 18 questionnaire surveys before and after surgery which presented a significant difference (p <0.05) with a tendency to improve the quality of life after surgery. It has been shown that there is a significant difference, a considerable improvement in the quality of life of patients after adenotonsillectomy.

Entrepreneurship Education and Economic Development in Nigeria: Policy Issues and Options

2013 ◽  
Vol 27 (5) ◽  
pp. 343-348 ◽  
Author(s):  
Patrick Nnadozie Udefuna ◽  
Chiedo Akalefu ◽  
Chinako Asogwa
Keyword(s):  
Economic Development ◽  
Rural Areas ◽  
Urban Areas ◽  
Entrepreneurship Education ◽  
Teaching Profession ◽  
Educational Institutions ◽  
Policy Issues ◽  
Unemployment Rates ◽  
Qualified Personnel ◽  
Vital Component

The standard of education in Nigeria has been declining, the level of unemployment continues to rise and the nation's economic development is stagnant. Its educational institutions appear to engage more in unproductive paperwork and teaching than in entrepreneurship education that would help to equip young graduates to become self-employed and employers. In 2011 some 24% of Nigerians were jobless, with unemployment rates of over 17% in urban areas and nearly 26% in rural areas. A productive education system is a vital component of a developed economy, but in Nigeria the education sector has long suffered from neglect. Corruption, poor continuity in government and a dearth of qualified personnel in the teaching profession are some of the principal impediments. The authors recommend a review of the country's educational policies so that these policies can be made responsive to social and economic needs.

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