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Utrikes födda befinner sig i en utsatt situation på den svenska arbetsmarknaden och uppvisar en betydligt lägre sysselsättningsgrad än inrikes födda. Syftet med studien är att utifrån handläggares perspektiv undersöka vilka möjligheter och hinder de upplever i arbetet med nyanlända inom Arbetsförmedlingens etableringsprogram. Studiens empiriska material har analyserats och förstås med stöd av nyinstitutionell teori, Lipskys teori om gräsrotsbyråkrati, Hasenfelds teorier om människobehandlande organisationer och Maslows behovstrappa. Studien utgår från en kvalitativ metod där det insamlade materialet består av sju halvstrukturerade intervjuer med arbetsförmedlare vilka arbetar med etableringsprogrammet. Tidigare forskning presenterar nyanländas förutsättningar att integrera sig i det svenska samhället, arbetsmarknadsprogrammens effektivitet samt gräsrotsbyråkratens förutsättningar. Resultatet visar att handläggarna upplever sitt arbete flexibelt och att de har ett stort handlingsutrymme, trots att de behöver förhålla sig till organisatoriska och politiska riktlinjer, vilket kan skapa både hinder och möjligheter i arbetet med deltagarna. Det framkom att en ekonomisk- och social integration samt en hållbar boendesituation är nödvändiga aspekter i den nyanländas liv för att möjliggöra en fungerande integration. Studien kan synliggöra främjande och hindrande faktorer till en gynnande etablering av nyanlända samt bidra till insikt kring vilka insatser och medel som behöver förbättras för att underlätta arbetet med målgruppen. / Foreign born are in a vulnerable situation on the Swedish labour market and show a significantly lower employment rate than the native born. The purpose is to examine the case manager's perspective of what opportunities and obstacles they experience in working with immigrants within the Employment Service's establishment program. The study's empirical material has been analysed based on the institutionalized organizations theory, Lipsky's theory of street-level bureaucracies, Hasenfeld's theories of human service organizations and Maslow's hierarchy of needs. The study is based on a qualitative method and the questions have been answered through seven semi-structured interviews with case managers who work with the establishment program. Previous research presents the prerequisites of new arrivals to integrate into Swedish society, effectiveness of labour market programs and prerequisites of street-level bureaucrats. The result shows that the case managers experience their work flexibly and that they have a large room of action, even though they need to adhere to organizational and political guidelines, which can create both obstacles and opportunities in the work with the participants. It emerged that economic and social integration as well as a sustainable housing situation are necessary aspects in the immigrant's life to enable a functioning integration.

No description available.

Over the past decade, there has been a noticeable increase in the enrollment of foreign-born children in Swedish schools. While Swedish as a second language has its own curriculum, there appears to be a lack of emphasis on teaching English to new arrivals. Despite English being a compulsory subject in the Swedish education system, there is inconsistency among teachers in their approaches to teaching it to new arrivals. This study specifically focuses on children of Middle Eastern descent, whose native language is Arabic. It investigates whether new arrivals are effectively accommodated in the classroom while learning English as a third language, and if so, what specific accommodations are provided. To achieve the results of this study, interviews with teachers and student questionnaires have been conducted to assess and compare the alignment of teaching methodology between them. As a result, plurilingual teachers, proficient in multiple languages, seem to have a significant advantage in teaching and communicating with new arrivals, particularly if they share the same native language. The objective of this study is to investigate the possible advantages which plurilingual teachers have within the Swedish school system.

Esta dissertação propõe um método de análise dos eventos de aceleração dos motores e dissipação de energia através do uso dos freios aerodinâmicos na fase de descida das aeronaves Boeing 737 NG da VRG Linhas Aéreas, baseando-se nos conceitos de energia, de aproximações em descidas contínuas e desenho dos procedimentos de chegadas, revisando as bases das práticas de conservação de combustível e dos sistemas de garantia da qualidade das operações de vôo. Foram analisadas mais de 130.000 descidas em um período de nove meses, durante a operação normal da empresa, através de leitura de dados dos gravadores de vôo que resultaram, após aplicação de algoritmos matemáticos simples e filtros, em mais de 314.000 eventos isolados. Estes eventos foram tratados com uma visão estatística, permitindo a quantificação financeira dos eventos através da proporcionalidade da variação de combustível consumido e energia agregada ou dissipada da aeronave. Os resultados obtidos através do método apresentado permitiram apontar as famílias, séries e prefixos de aeronaves com diferentes desempenhos nas descidas, as cidades de destino e rotas com desempenho baixo quanto a conservação de combustível e energia, assim apontando os possíveis caminhos para a empresa focar esforços na redução do custo de combustível. / This paper proposes a method of analysis of fuel consumption and energy dissipation events, as a consequence of engines acceleration and the use of speed brakes during the Boeing 737 NG descent segment of VRG Linhas Aéreas, based on the concepts of energy, continuous descent approaches and design of arrivals procedures, reviewing the basics of fuel conservation practices and flight operations quality assurance systems.There were analyzed more than 130,000 descents in a period of nine months, during the company normal operation, by reading data from flight recorders that resulted in, after the application of simple mathematical algorithms and filters, more than 314,000 individual events. These events were treated with a statistical view, to quantify the financial impact of this events through the proportionality of the variation in fuel consumption and energy added or dissipated by the aircraft.The results obtained using this method allowed to understand families, series and tail numbers of aircrafts with different performances on the descent phase, the destination cities and routes with poor performance in energy and fuel conservation, thus indicating a possible focus to enhance efforts to reduce total fuel costs.

Tourism is currently the third largest industry within South Africa. Many African countries, including South Africa, have the potential to achieve increased economic growth and development with the aid of the tourism sector. As tourism is a great earner of foreign exchange and also creates employment opportunities, especially low–skilled employment, it is identified as a sector that can aid developing countries to increase economic growth and development. Accurate forecasting of tourism demand is important due to the perishable nature of tourism products and services. Little research on forecasting tourism demand in South Africa can be found. The aim of this study is to forecast tourism demand (international tourist arrivals) to South Africa by making use of different causal models and to compare the forecasting accuracy of the causal models used. Accurate forecasts of tourism demand may assist policy–makers and business concerns with decisions regarding future investment and employment. An overview of South African tourism trends indicates that although domestic arrivals surpass foreign arrivals in terms of volume, foreign arrivals spend more in South Africa than domestic tourists. It was also established that tourist arrivals from Africa (including the Middle East), form the largest market of international tourist arrivals to South Africa. Africa is, however, not included in the empirical analysis mainly due to data limitations. All the other markets namely Asia, Australasia, Europe, North America, South America and the United Kingdom are included as origin markets for the empirical analysis and this study therefore focuses on intercontinental tourism demand for South Africa. A review of the literature identified several determinants of tourist arrivals, including income, relative prices, transport cost, climate, supply–side factors, health risks, political stability as well as terrorism and crime. Most researchers used tourist arrivals/departures or tourist spending/receipts as dependent variables in empirical tourism demand studies. The first approach used to forecast tourism demand is a single equation approach, more specifically an Autoregressive Distributed Lag Model. This relationship between the explanatory variables and the dependent variable was then used to ex post forecast tourism demand for South Africa from the six markets identified earlier. Secondly, a system of equation approach, more specifically a Vector Autoregressive Model and Vector Error Correction Model were estimated for each of the identified six markets. An impulse response analysis was undertaken to determine the effect of shocks in the explanatory variables on tourism demand using the Vector Error Correction Model. It was established that it takes on average three years for the effect on tourism demand to disappear. A variance decomposition analysis was also done using the Vector Error Correction Model to determine how each variable affects the percentage forecast variance of a certain variable. It was found that income plays an important role in explaining the percentage forecast variance of almost every variable. The Vector Autoregressive Model was used to estimate the short–run relationship between the variables and to ex post forecast tourism demand to South Africa from the six identified markets. The results showed that enhanced marketing can be done in origin markets with a growing GDP in order to attract more arrivals from those areas due to the high elasticity of the real GDP per capita in the long run and its positive impact on tourist arrivals. It is mainly up to the origin countries to increase their income per capita. Focussing on infrastructure development and maintenance could contribute to an increase in future tourist arrivals. It is evident that arrivals from Europe might have a negative relationship with the number of hotel rooms available since tourists from this region might prefer accommodation with a safari atmosphere such as bush lodges. Investment in such accommodation facilities and the marketing of such facilities to Europeans may contribute to an increase in arrivals from Europe. The real exchange rate also plays a role in the price competitiveness of the destination country. Therefore, in order for South Africa to be more price competitive, inflation rate control can be a way to increase price competitiveness rather than to have a fixed exchange rate. Forecasting accuracy was tested by estimating the Mean Absolute Percentage Error, Root Mean Square Error and Theil’s U of each model. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was estimated for each origin market as a benchmark model to determine forecasting accuracy against this univariate time series approach. The results showed that the Seasonal Autoregressive Integrated Moving Average model achieved more accurate predictions whereas the Vector Autoregressive model forecasts were more accurate than the Autoregressive Distributed Lag Model forecasts. Policy–makers can use both the SARIMA and VAR model, which may generate more accurate forecast results in order to provide better policy recommendations. / Thesis (M.Com. (Economics))--North-West University, Potchefstroom Campus, 2011.

Tourism is currently the third largest industry within South Africa. Many African countries, including South Africa, have the potential to achieve increased economic growth and development with the aid of the tourism sector. As tourism is a great earner of foreign exchange and also creates employment opportunities, especially low–skilled employment, it is identified as a sector that can aid developing countries to increase economic growth and development. Accurate forecasting of tourism demand is important due to the perishable nature of tourism products and services. Little research on forecasting tourism demand in South Africa can be found. The aim of this study is to forecast tourism demand (international tourist arrivals) to South Africa by making use of different causal models and to compare the forecasting accuracy of the causal models used. Accurate forecasts of tourism demand may assist policy–makers and business concerns with decisions regarding future investment and employment. An overview of South African tourism trends indicates that although domestic arrivals surpass foreign arrivals in terms of volume, foreign arrivals spend more in South Africa than domestic tourists. It was also established that tourist arrivals from Africa (including the Middle East), form the largest market of international tourist arrivals to South Africa. Africa is, however, not included in the empirical analysis mainly due to data limitations. All the other markets namely Asia, Australasia, Europe, North America, South America and the United Kingdom are included as origin markets for the empirical analysis and this study therefore focuses on intercontinental tourism demand for South Africa. A review of the literature identified several determinants of tourist arrivals, including income, relative prices, transport cost, climate, supply–side factors, health risks, political stability as well as terrorism and crime. Most researchers used tourist arrivals/departures or tourist spending/receipts as dependent variables in empirical tourism demand studies. The first approach used to forecast tourism demand is a single equation approach, more specifically an Autoregressive Distributed Lag Model. This relationship between the explanatory variables and the dependent variable was then used to ex post forecast tourism demand for South Africa from the six markets identified earlier. Secondly, a system of equation approach, more specifically a Vector Autoregressive Model and Vector Error Correction Model were estimated for each of the identified six markets. An impulse response analysis was undertaken to determine the effect of shocks in the explanatory variables on tourism demand using the Vector Error Correction Model. It was established that it takes on average three years for the effect on tourism demand to disappear. A variance decomposition analysis was also done using the Vector Error Correction Model to determine how each variable affects the percentage forecast variance of a certain variable. It was found that income plays an important role in explaining the percentage forecast variance of almost every variable. The Vector Autoregressive Model was used to estimate the short–run relationship between the variables and to ex post forecast tourism demand to South Africa from the six identified markets. The results showed that enhanced marketing can be done in origin markets with a growing GDP in order to attract more arrivals from those areas due to the high elasticity of the real GDP per capita in the long run and its positive impact on tourist arrivals. It is mainly up to the origin countries to increase their income per capita. Focussing on infrastructure development and maintenance could contribute to an increase in future tourist arrivals. It is evident that arrivals from Europe might have a negative relationship with the number of hotel rooms available since tourists from this region might prefer accommodation with a safari atmosphere such as bush lodges. Investment in such accommodation facilities and the marketing of such facilities to Europeans may contribute to an increase in arrivals from Europe. The real exchange rate also plays a role in the price competitiveness of the destination country. Therefore, in order for South Africa to be more price competitive, inflation rate control can be a way to increase price competitiveness rather than to have a fixed exchange rate. Forecasting accuracy was tested by estimating the Mean Absolute Percentage Error, Root Mean Square Error and Theil’s U of each model. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was estimated for each origin market as a benchmark model to determine forecasting accuracy against this univariate time series approach. The results showed that the Seasonal Autoregressive Integrated Moving Average model achieved more accurate predictions whereas the Vector Autoregressive model forecasts were more accurate than the Autoregressive Distributed Lag Model forecasts. Policy–makers can use both the SARIMA and VAR model, which may generate more accurate forecast results in order to provide better policy recommendations. / Thesis (M.Com. (Economics))--North-West University, Potchefstroom Campus, 2011.

Esta dissertação propõe um método de análise dos eventos de aceleração dos motores e dissipação de energia através do uso dos freios aerodinâmicos na fase de descida das aeronaves Boeing 737 NG da VRG Linhas Aéreas, baseando-se nos conceitos de energia, de aproximações em descidas contínuas e desenho dos procedimentos de chegadas, revisando as bases das práticas de conservação de combustível e dos sistemas de garantia da qualidade das operações de vôo. Foram analisadas mais de 130.000 descidas em um período de nove meses, durante a operação normal da empresa, através de leitura de dados dos gravadores de vôo que resultaram, após aplicação de algoritmos matemáticos simples e filtros, em mais de 314.000 eventos isolados. Estes eventos foram tratados com uma visão estatística, permitindo a quantificação financeira dos eventos através da proporcionalidade da variação de combustível consumido e energia agregada ou dissipada da aeronave. Os resultados obtidos através do método apresentado permitiram apontar as famílias, séries e prefixos de aeronaves com diferentes desempenhos nas descidas, as cidades de destino e rotas com desempenho baixo quanto a conservação de combustível e energia, assim apontando os possíveis caminhos para a empresa focar esforços na redução do custo de combustível. / This paper proposes a method of analysis of fuel consumption and energy dissipation events, as a consequence of engines acceleration and the use of speed brakes during the Boeing 737 NG descent segment of VRG Linhas Aéreas, based on the concepts of energy, continuous descent approaches and design of arrivals procedures, reviewing the basics of fuel conservation practices and flight operations quality assurance systems.There were analyzed more than 130,000 descents in a period of nine months, during the company normal operation, by reading data from flight recorders that resulted in, after the application of simple mathematical algorithms and filters, more than 314,000 individual events. These events were treated with a statistical view, to quantify the financial impact of this events through the proportionality of the variation in fuel consumption and energy added or dissipated by the aircraft.The results obtained using this method allowed to understand families, series and tail numbers of aircrafts with different performances on the descent phase, the destination cities and routes with poor performance in energy and fuel conservation, thus indicating a possible focus to enhance efforts to reduce total fuel costs.

Esta dissertação propõe um método de análise dos eventos de aceleração dos motores e dissipação de energia através do uso dos freios aerodinâmicos na fase de descida das aeronaves Boeing 737 NG da VRG Linhas Aéreas, baseando-se nos conceitos de energia, de aproximações em descidas contínuas e desenho dos procedimentos de chegadas, revisando as bases das práticas de conservação de combustível e dos sistemas de garantia da qualidade das operações de vôo. Foram analisadas mais de 130.000 descidas em um período de nove meses, durante a operação normal da empresa, através de leitura de dados dos gravadores de vôo que resultaram, após aplicação de algoritmos matemáticos simples e filtros, em mais de 314.000 eventos isolados. Estes eventos foram tratados com uma visão estatística, permitindo a quantificação financeira dos eventos através da proporcionalidade da variação de combustível consumido e energia agregada ou dissipada da aeronave. Os resultados obtidos através do método apresentado permitiram apontar as famílias, séries e prefixos de aeronaves com diferentes desempenhos nas descidas, as cidades de destino e rotas com desempenho baixo quanto a conservação de combustível e energia, assim apontando os possíveis caminhos para a empresa focar esforços na redução do custo de combustível. / This paper proposes a method of analysis of fuel consumption and energy dissipation events, as a consequence of engines acceleration and the use of speed brakes during the Boeing 737 NG descent segment of VRG Linhas Aéreas, based on the concepts of energy, continuous descent approaches and design of arrivals procedures, reviewing the basics of fuel conservation practices and flight operations quality assurance systems.There were analyzed more than 130,000 descents in a period of nine months, during the company normal operation, by reading data from flight recorders that resulted in, after the application of simple mathematical algorithms and filters, more than 314,000 individual events. These events were treated with a statistical view, to quantify the financial impact of this events through the proportionality of the variation in fuel consumption and energy added or dissipated by the aircraft.The results obtained using this method allowed to understand families, series and tail numbers of aircrafts with different performances on the descent phase, the destination cities and routes with poor performance in energy and fuel conservation, thus indicating a possible focus to enhance efforts to reduce total fuel costs.

abstract: Immigration status and educational opportunities are at the forefront of the current national conversation regarding "DREAMers": children of immigrants brought to the United States at a young age who lack legal status but are raised and educated in the American system. In 2006, Arizona voters passed Proposition 300, in part prohibiting in-state tuition for state colleges and universities to individuals who cannot provide proof of citizenship or legal residency. For those DREAMers who hoped to attend college following high school, this policy affected their ability to enroll because of the increased tuition and lack of eligibility for state-sponsored financial aid. This law's impact is also present in Arizona's public high schools. High schools, in partnership with community colleges, have created a robust system of dual or concurrent enrollment courses: college classes offered to high school students as a means of accelerating their learning. In this arrangement, full payments for tuition are required by families or by the programs that support the students, creating a system in public schools where some students are able to participate while others cannot due to their residency status. The aim of this study was to determine the educational, social, and emotional effects of Proposition 300 upon undocumented secondary students. Through qualitative analysis, this study relies upon focus group interviews with high school graduates impacted by Proposition 300 before graduation. Interviews were also conducted with parents and with educators representing both secondary and higher education. A total of nine students, two parents, and four education professionals participated in semi-structured conversations over the course of several months in the fall of 2012. The data was collected, analyzed, and coded, extrapolating common themes related to the review of literature and information from the participants. The findings describe the effects Proposition 300 has had as it pertains to undocumented students, their experience of their unequal access to dual or concurrent enrollment, the disconnect they have felt from their "documented" peers, and the emotional impact they have felt as a result of this law. Among the findings, the potential impact of Deferred Action for Childhood Arrivals (DACA), enacted in August 2012, is explored. / Dissertation/Thesis / Ed.D. Educational Administration and Supervision 2013