Suchergebnisse

Abstract
Immigration in Romania is a scarcely studied topic, mainly because the impact of this phenomenon is low. Romania is primarily known due to its history of emigration. This paper is a preliminary analysis of the way both temporary and permanent Romanian immigration changed at the NUTS 3 level during the 2015 migration crisis and due to COVID-19 pandemics. Internal migration was also included as the analysis was based on a component of the MASST model on in-migration, but with respect to NUTS3 level migration. The results obtained were statistically significant for the temporary migration and permanent migration. The refugees' crisis had a direct influence on permanent migrants, while the COVID-19 pandemic left its mark on temporary migration, leading to an increase in the number of temporary migrants.

Abstract
This study approaches migration from the perspective of an effect of the attainment of Sustainable Development Goals. In order to analyse this relationship, several indicators used to measure the SDGs attainment level were employed. These indicators are also the ones related to migration. The results show that most indicators that are used to measure the achievement of SDGs have an impact on the migration flow. Consequently, GDP per capita and unemployment rate, as main indicators used to measure the Goal 8 (Sustainable economic growth, productive employment and decent work for all), have significant impact on migration, being main factors of immigration.
The main conclusion is that there is a bilateral relationship between migration and SDGs. Not only that migration can influence the achievement of sustainable development, but, at the same time, it is itself influenced by how well the Sustainable Development Goals are attained.

Abstract
Confronted with ageing and depopulation, Romania needs to identify the main factors that attract immigrant population. This paper tackles the matter of regional income disparities as a key factor for temporary immigration in Romania. The quantitative approach includes a spatial panel data analysis based on a dataset retrieved from the Romanian National Institute of Statistics and our data consists of 378 observations on 42 counties in Romania over a time span of nine years starting with the year 2012. Our findings suggest that temporary immigration in Romania is shaped by location, but does not follow the labour market characteristics. Higher salaries and job opportunities are not the main factors of attraction to temporary immigration and it does not seem to be influenced by regional disparities.

Abstract
Migration represents a complex phenomenon that, when associated with vulnerability, becomes a theme of particular importance in the current global context.
The refugees' crisis had a direct influence on permanent migrants. The COVID-19 pandemic had an impact on short-term migration, increasing the quantity of short-term migrants while decreasing the number of long-term displacement. In this context, the data presented in our study are from 2019, a year in which the mobility constraints resulting from the pandemics have not yet had an impact on migratory flows.
All European Union countries were covered, except Cyprus, where data was unavailable. Our study uses a gravity model of migration Syrian migrant. Through our analysis, we aimed to capture the determinants of migration flows from Syria to EU countries. It also aims to capture a range of spatial effects that may have an impact on the factors influencing the migration flows of Syrian migrants into the European Union countries. The results showed significant influences on Syrian migration flow to European Union countries, distance being a decisive factor in the decision to migrate.

Using an exploratory research, this paper aims to gain in depth information on Moldovan migrants in Romania across different generations. It focuses on changes in migrants' aspirations over time and how historical context influences coping strategies. The study compares behavior and experiences of earlier Post-Socialist migrants (pioneer migrants) with recent young migrants in Iasi and Bucharest. Results indicate evolving aspirations and reduced integration barriers, with recent migrants benefiting from technological progress and easier access to Romanian citizenship, facilitating faster integration.

This study focuses on the integration facilitators of young migrants in Romania, as resulting from the information gathered through a Photovoice participatory action research method. Young third country nationals were asked to take photos which they thought best summed up their migration experiences. Next to the photos, the migrants were also asked to submit short texts describing the captured images and the meanings that these had for them, thus adding richness and nuance to the data. The evidence gathered reveals that several factors, such as access to education, interacting with a new culture, and with new places and people, are perceived as opportunities and positive migration outcomes. Therefore, human and social capital, as well as the natural or urban environment in the host country, contribute to the enhancement of integration opportunities for young migrants. The paper sets out to analyze how such factors which can facilitate integration are captured in a PAR. Research results show that young migrants perceive their experiences in Romania as enhanced by some factors through which they advance in their integration paths.

Since migration is considered to play an important role on the attainment of the sustainable development goals (SDG's) this study analyses the reversed perspective of the migration-SDG's nexus. The data set consists of 308 observations on 28 European Union countries (including the United Kingdom) over a time span of 11 years (between 2008 and 2018). The analysis employed various stages of estimation in order to compare different results obtained from the panel data regression models. Besides the classical panel data regression models, the paper includes the estimation of Arellano-Bover/Blundell-Bond model that uses the Generalized Method of Moments (also known as GMM) as an econometric tool to solve the endogeneity of the selected variables. The focus is on two sustainable development goals: labour and economic growth, and education of the European Union member states plus the United Kingdom. The results showed that there is a significant influence of the selected variables on the migration flows at the European Union level. Although there are some contradictory results regarding the direction and statistical signifikance of the link between the variables of interest, most estimators do not have fundamentally different results. The GDP per capita keeps its positive impact on migration by generating an immigration flow towards countries with high GDP per capita. Economic growth proves to be the main trigger of migration, while education also plays an important role in shaping migration. The importance of this study derives from the reversed perspectives analysis, considering migration as being directly influenced by the achievement of the sustainable development goals.