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Article

School Dropout in Satellite Towns around Bucharest, Romania

by
Florin-Bogdan Petre
,
Camelia Teodorescu
and
Alexandra Cioclu
*
Faculty of Geography, University of Bucharest, 010041 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Soc. Sci. 2024, 13(6), 285; https://doi.org/10.3390/socsci13060285
Submission received: 14 February 2024 / Revised: 22 May 2024 / Accepted: 24 May 2024 / Published: 27 May 2024
(This article belongs to the Special Issue Exploring New Ways to Address Early School Leaving)

Abstract

:
School dropout is a pressing social problem that stems from systemic inadequacies in the education system and socio-economic background. The aim of this study was to analyze how the travel time and financial difficulties impact school dropout in satellite towns near Bucharest, the capital of Romania. Data on dropout rates in recent years were provided by the Ilfov County General School Inspectorate and were supplemented by 30 semi-structured interviews with the parents, caregivers, or the legal representatives of students who have dropped out of school or are at risk of dropping out. The study’s findings reveal significant correlations between the travel time to school, familial financial situation, and attitudes towards education, impacting dropout rates across various satellite towns. Addressing the challenge of school dropout promises societal improvement and empowers policymakers to enact more inclusive policies benefiting all members of society.

1. Introduction

Education is essential for the existence and development of any society. School dropout is an urgent issue that affects individuals, communities, and societies worldwide. Early school leavers are defined as those who leave school without obtaining minimal credentials, usually an upper secondary education diploma (De White et al. 2013). In OECD countries, 40% of adults (25–64 years of age) have a tertiary education and 40% have an upper or post-secondary education, while 20% have no upper secondary education (OECD 2023). Eurostat (2022a) states that, in 2022, 23.3% of people aged 25–74 years in the EU had a low level of education, with almost 82% aged 25–54 years having completed at least upper secondary education, compared to 68.4% aged 55–74 years. The literature on early school leaving suggests that school dropout is associated with long-term unemployment, poverty, poor health, dependence on public assistance, single parenthood (for women), political and social disengagement, and juvenile crime (Vizcain 2005; Hayes et al. 2002). Therefore, it is not surprising that school dropout is a significant national problem for both students and society. In this context, extensive research was carried out to identify factors that could explain why students drop out of school. The studies have revealed that several factors contribute to the risk of students dropping out of school, including poor academic performance, frequent misbehavior, disengagement from school activities, belonging to low-income or single-parent families, a poor relationship with parents, attending schools with low academic standards, inadequate support from teachers, and negative peer influence (Battin-Pearson et al. 2000; Janosz et al. 2008; Archambault et al. 2009).
Family background, particularly socio-economic background, has a considerable influence on educational success in general and on the behavior of school dropout (Rumberger 1995). In a survey conducted by the Japanese Ministry of Education, Culture, Sports, Science, and Technology on the situation of school dropout entitled “Recognition of the Current Status of School Non-attendance”, it was found that sudden changes in the family living environment (including financial problems, father or mother moving for work, family separation, or parents changing or losing their jobs) are responsible for almost 10% of school dropout cases (Ministry of Education, Culture, Sports, Science, and Technology 2019). Pupils from low-income families are more likely to drop out of school. Almost two-thirds of the students from low-income families and 1.5% of students from high-income families drop out of school (Paraitaand Pastor 2000). Coleman (1988) argues that students who change schools frequently are more likely to fail in school and eventually drop out because they lose their social connections. This is mainly the case of high school students, for whom family support is not enough to compensate for the effects of school mobility. Several studies have emphasized the importance of national and local economic context, student mobility, and family interest for education for understanding the problem of school dropout (Hagan et al. 1996; Ream 2003; Gasper et al. 2012).
Another aspect that can influence school dropout is the travel time. The likelihood that a student will drop out of primary school increases with the distance a student needs to travel to school (Foster and McLanahan 1996). The relationship between children’s literacy skills, school quality, and instructional time can be linked to the distance to school. Children who travel long distances to school are more likely to miss hours of daily instructions, important opening announcements, and academic activities, which can have a negative effect on their school performance (Dickerson and McIntosh 2013). Several empirical studies explored the relationship between the travel distance to school and children’s education, highlighting the significant impact on school participation. A study conducted in Canada concluded that high school students who live far from the local universities are less likely to attend school, especially those from low-income families (Frenette 2006). These findings are supported by another research showing that a greater distance to school is a significant barrier to participation in higher education (Flannery and Cullinan 2014). Tansel (1997) conducted a similar study in Ghana and Côte d’Ivoire and found that distance hindered enrolment in primary school and middle school participation, with the effect being more considerable for girls. Similarly, Grootaert and Patrinos (1999) conclude that travel time has a greater impact on schooling and child labor among the Ivorian rural populations than the urban population. These findings underscore the crucial role that distance and time play in shaping educational opportunities and outcomes.
School system in Romania
The Ministry of Education coordinates the Romanian education system at the national level and the county school inspectorates at the local level, both being subordinated to the Romanian government. The national education system is structured as follows: Early childhood education is provided in state and private kindergartens or schools for children aged 0–6 years and follows a common curriculum with national standards. The primary level (ISCED 1) consists of a preparatory grade and grades 0 to 4. The secondary level comprises lower secondary or Gymnasium (ISCED 2) for children aged 10 to 14, covering grades 5 to 8, and upper secondary or high school level (ISCED 3) for students aged 14 to 18, covering grades 9 to 12/13. The latter offers theoretical, vocational, and technological programs. Access to upper secondary education units is provided through a national evaluation and distribution system. Tertiary non-university education encompasses post-secondary education (ISCED 4), such as technical and professional education. The structure of tertiary education is based on the principles of the Bologna system and is offered by higher education institutions and universities (ISCED 5–8). According to the National Education Law no. 1/2011, compulsory education includes primary and secondary education. The obligation to attend full-time education for 10 grades ends when the student turns 18 years of age (Parlamentul Romaniei 2011). Law 198/2023 establishes that students who have not attended school for more than 2 years are considered to be in the situation of school dropout. The same law mentions a series of programs and measures aimed to reduce school dropout, such as the “School after school” and “Second chance” programs, as well as priority intervention measures with the support of local, county, national, and international partners (Parlamentul Romaniei 2023).
The problem of school dropout is highly topical for the Romanian education system due to high levels of this indicator (Merce et al. 2015). At the European level, the (Eurostat 2022b) report shows that Romania has the highest dropout rate (16%) in the European Union, followed by Spain (14%), Hungary, Germany, and Italy, each with a comparable dropout rate of 12% (Eurostat 2022b). A 2022 report by the Ministry of Education on pre-university education in Romania states that, in the 2021–2022 school year, 1.2% of primary and secondary school students and 1.6% of upper secondary dropped out of school (Ministry of Education 2022). In Romania, the method used to register school dropout cases is known as the “entry–exit” method. The dropout rate is determined by taking the difference between the number of students enrolled at the beginning of the school year and those who are registered at the end of the same year. This is expressed as a percentage of the number of students enrolled at the beginning of the school year. However, the Romanian National Statistics Institute has pointed out that this method can lead to distortions at the county level, as students move between schools in different counties during the school year. For the 2021–2022 school year, the National Institute of Statistics reported a higher dropout rate: 1.3% in primary and secondary levels and 2.1% at upper secondary level (National Institute of Statistics 2022).
Smaller towns close to larger cities may face particular challenges. Some studies concluded that students in small towns tend to have a lower academic performance and are more likely to drop out of school (Roscigno and Crowley 2001; Strange 2011). It is still unclear whether adolescents living in rural areas face different socio-economic characteristics or educational environments compared to their urban counterparts.
Our main objective is to identify the impact of travel time (walking time) on the problem of school dropout among students enrolled in secondary and high schools located in the satellite cities of Bucharest (Figure 1). The decision of which school students will attend is usually made by their parents or legal representative and sometimes by the students themselves (Salar et al. 2022). This decision can be based on social factors (friends or recommendations from acquaintances), economic factors (travel cost), and sometimes also on the school’s reputation. Another objective is to investigate whether the financial challenges faced by families of students who must travel long distances to reach school constitute a significant factor in increasing the school dropout rate. Also, we explore the possible correlations between walking time to school, caregivers’ perceptions, and the likelihood of dropping out of school.
The Romanian economy and education system have undergone significant changes since 1990. It has been difficult to cope with these changes, both in terms of adapting the education process and changing families’ attitude towards education. Another problem that affects the school dropout rate is related to the mobility of the population for professional reasons. Many young people with children leave them in the care of grandparents or other acquaintances, a decision that can have a negative impact on their education. The COVID-19 pandemic has further highlighted these deficits, particularly with the shift to online learning. Due to the lack of skills in using learning devices or a lack of internet access, many students have struggled to cope with new demands.

2. Materials and Methods

2.1. Data Source

The data on students who dropped out of school or are at risk of dropout were provided by the Ilfov County School General Inspectorate. A sample of 50 families of students who dropped out of school or are at risk of dropping out was selected for the study. Information about their financial difficulties and some contact details were provided by the town halls. We tried to contact these families either in person or by phone. Out of the 50 families contacted, only 30 responded and agreed to be interviewed. All the families interviewed lived in the town analyzed: 3 in Popesti-Leordeni, 7 in Pantelimon, 5 in Bragadiru, 6 in Magurele, 3 in Otopeni, 2 in Chitila, and 4 in Voluntari; so, it was relatively easy to travel to the interviews. In order to carry out these interviews, we had 20 face-to-face meetings and 10 telephone conversations. Each interview lasted about 30 min. Sometimes, we conducted the interview with both parents and sometimes with one parent, carer, or legal representative of the student. The interviews were a real challenge. The families were often reluctant to talk about school dropout, and their cumbersome and sometimes incoherent language made the interviews difficult.

2.2. Travel Time to School and Method

This study used a mixed methods approach that integrated both quantitative and qualitative data to understand the factors that influence school dropout. The quantitative component included mapping walking time to school, while the qualitative component consisted of interviews about the lived experiences and perspectives of families affected by school dropout. The integration of quantitative and qualitative data allows for a holistic analysis. Walking time to school highlighted potential barriers to school attendance, while the qualitative data, derived from interviews, provided an in-depth, contextualized understanding of the personal and social factors that contribute to school dropout.
The main research steps were: identifying the towns for the study; geocoding the schools in each selected town; designing maps of walking time to school; identifying and interviewing families experiencing school dropout; building a word cloud based on the interviews to visually represent the most common themes and concerns expressed by the families; and interpreting the results from both the quantitative maps and qualitative interviews in tandem to identify correlations and provide a nuanced understanding of the issues.
Due to internet expansion, web mapping platforms, such as OpenStreetMap (OSM) and Google Maps, are increasingly used for their open access and integration of transportation networks (García-Albertos et al. 2019; Gaglione et al. 2022). In addition, accurate geographic information from high-performance platforms, such as the Google Maps API, can provide quite accurate travel time, distance, and routes (Haitao et al. 2019). The Google Maps API uses historical averages to generate credible predictions that consider traffic conditions and congestion losses through real-time location data (Costa et al. 2021).
Travel time is a widely used and easily understandable indicator. To calculate the travel time, we used the API service provided by Google Maps in GIS. In this study, we evaluated the travel time to secondary and upper secondary or high school units at the level of the NUTS2 administrative unit consisting of towns. Data about the location of each school were obtained from the websites of the Ilfov County School General Inspectorate. Each school was geolocated using the Google Maps platform, all addresses being exactly where indicated by the source mentioned above. Geospatial data, including road infrastructure and the administrative town boundary, were downloaded from https://geo-spatial.org (accessed on 5 February 2024).
In this study, it was assumed that students living in the seven towns would attend school from their town, and the way of travel considered was walking. The procedures were as follows: (1) geolocation of each school based on the address provided by the Google Maps service (2) using the TravelTime add-in to calculate the time slots (<5; 5–10; 10–15; 15–20; 20–25; 25–30; and <30). The process was repeated for every secondary and high school unit for the selected towns. The software used was ArcGIS Pro 2.5.0.
Using the https://voyant-tools.org/ (accessed on 4 February 2024) platform, we designed word clouds based on the interviews with the families of the students who dropped out of school or are at risk of dropping out.

3. Results

Travel Time and Educational Offer

The travel time to school and the availability of schools in the area are important factors that influence a student’s choice of school (He and Giuliano 2018). In many towns, only one or two schools are available, which limits the students’ options. In most cases, students are enrolled in the school they are assigned to by the administrative authorities.
Popesti-Leordeni, located southeast of Bucharest, shows some particularities of school dropout, both at the high school and secondary school levels. The population increase in recent years has influenced these particularities (Petre et al. 2023). Popesti-Leordeni is among Bucharest’ satellite towns with the highest population growth rate (53,434 inhabitants in 2021 compared to 21,895 inhabitants in 2011). Most of those who settle and choose to live in this town are aged 20–45 years. In many cases, these families have children who attend town schools and consider education an important factor for their children’s personal development and future. From the data analysis provided by ISJ Ilfov, the dropout rate between 2006 and 2021 was low, with less than 2% of students who drop out of school. According to the interviewees’ perspective, families and teachers play an essential role in education and students’ perception of school. In 20 out of 30 interviews, the interviewees said that, when children feel supported and the teachers are kind to them, they are more motivated to attend to school and to participate in school contests and other extracurricular activities.
In the case of the Popesti-Leordeni town, the occurrence of school dropout is more a consequence of the socio-economic situation of the students’ families than a great travel time to school. School dropout cases were not recorded in areas where the travel time to school was considerable (>30 min) and walking was not a feasible option (Figure 2). In these particular situations (three out of three interviews conducted in Popesti-Leordeni), the financial constraints of the family caused the students’ parents to emigrate abroad for work, and the grandparents to look after the children. During the interviews, it was mentioned that the students found it difficult to meet the school requirements due to emotional difficulties aroused by these circumstances. The students’ high rate of absences ultimately led to their school dropout. There was a lack of adequate or insufficient emotional support from the grandparents, and the school failed to communicate effectively with the families. This context deepened the problem and contributed to academic failure and ultimately to school dropout.
Pantelimon, located east of Bucharest, has a relatively high number of students, with more than 2000 students enrolled in secondary education in 2021. The highest dropout rate was 3.86% in the 2015–2016 school year at Secondary School No. 1 (Figure 3).
The travel time to school, correlated with poor material conditions as well as a lack of communication between the students’ families and the school, could be one of the reasons for school dropout. The areas where dropout occurs are quite far away from the schools, 40–45 km away. In this case, it is not possible to walk to school, and students have to travel more than 50 min by public transport to reach school in the morning and the same time in the afternoon when they return home.
In Bragadiru, southwest of Bucharest, the school dropout situation is similar to that in the previously analyzed towns. However, the increased number of inhabitants in the last ten years has reduced the dropout rate. The highest dropout rate was recorded in the 2015–2016 school year, at 2.4%. Since then, it has steadily decreased, reaching 0.3% in the 2020–2021 school year. The school has introduced after-school lessons to help the students who were unable to keep up with their peers.
Likewise, in Bragadiru, many children need to travel more than 30 min between their home and school (Figure 4). Four out of five families interviewed in Bragadiru were financially dependent on social aid to cover their basic needs. Also, there was a common practice in these households, such as the need for children to help with household chores or to work for neighbors for a modest amount of money. The poor economic situation of these families contributed to children no longer attending school. In the case of three families, the geographical distance to the school combined with the lack of financial resources for transport contributed to a high number of absentees.
In Magurele, southwest of Bucharest, the number of early school leavers has fluctuated over the years. The highest dropout rate was recorded in the 2010–2011 school year—2.57%. The dropout trend has decreased in recent years, with a low rate (0.19%) during the COVID-19 pandemic.
In the case of Magurele, the travel time to school impacts school dropout. During the interviews with the families of students who dropped out of school, distance and the travel time were mentioned in four out of six cases among the reasons for the students’ high number of absences. Students who live more than 30 km away from school or have to walk more than 30 min to reach school have to use public transport, which is not always available and affordable for families (Figure 5).
In Otopeni, one school comprises primary, secondary, and upper education (Figure 5). The statistics from the Ilfov County School General Inspectorate show that the school dropout rate is relatively low, below 2%. Here, the presence of Henri Coanda International Airport has a significant impact on social and economic life. The travel time to school was not the main factor in dropping out (Figure 6). The families of the students we interviewed encourage their children to attend school, even if their financial situation is precarious and the students have to skip some school days to help their families with household chores or they have to take care of their siblings. This was the situation for all families interviewed in Otopeni. The families interviewed also mentioned that they receive social aid and the school regularly contacts them to ask about the reasons for the students’ absence. The teachers’ engagement and community support to reduce school dropout cases were perceived as positive aspects and were highly appreciated by the interviewees.
Chitila has one school, which includes both secondary and upper secondary education. According to the Ilfov County General School Inspectorate data, the school dropout rate has been relatively high in the last 10 years. In the 2005–2006 school year, the dropout rate was 1.9%, but it increased to 2.5% in the 2010–2011 school year. All the families interviewed mentioned financial difficulties and the stress brought about by them, which created a tense and stressful family environment. The children were discouraged from attending school and pressed to help the family with money. Some school dropout cases were recorded for students who had to walk more than 30 min to school (Figure 7).
In Voluntari, there are two schools, one for secondary and one for upper secondary education, with different school results and a different dropout rate (Figure 8).
The dropout rate in Voluntari is higher in secondary school. The highest value was recorded in the 2011–2012 school year, when it reached 9.23%. The economic crisis of the previous years has deepened the financial difficulties in the case of low-income families. As a consequence, students over 15 years old were constrained to participate in work activities and had to drop out of school. The walking travel time to school (>30 min) also impacted the students’ attitudes towards attending school, leading to absenteeism and knowledge gaps.
The secondary school has a lower dropout rate compared to the upper secondary school. The highest rate was over 2% between 2006 and 2008. However, the school dropout rate decreased over time, reaching 0.2% in the school year of 2018–2019. Although the school is in the western part of the town with a good and diverse transport infrastructure, from some neighborhoods, the time needed to reach school exceeds 30 min walking (Figure 8). Schools made efforts to decrease the students’ travel time to school and introduced a daily school bus.

4. Discussion

Travel Time to School

A long travel time can make school less attractive to students (Afoakwah and Koomson 2021). This can also have an impact on parents who have to accompany children on their daily journey to school. For high school students aged 14–18 years, the travel time to school can be a major concern (Lidbe et al. 2020). Students who live in the urban fringe have the longest average commute time, and the whole school experience can be unpleasant (Ding and Feng 2022). A long travel time can affect their participation in class, regardless of age and can lead to school dropout. The availability of public transport in certain areas can contribute to school dropout, especially among students from low-income families (Ramírez-Hassan et al. 2023). There is a problem with the transportation system between Bucharest and its surrounding areas. The towns of Otopeni, Voluntari, Pantelimon, Popești Leordeni, Măgurele, Bragadiru, and Chitila would benefit from better public transport if they were integrated into the regional transport system by using the capital’s ring road and railway. This will help to create a seamless connection between the urban and regional transport systems (Tălângă et al. 2010). In an attempt to reduce the school dropout rate, the Romanian Government adopted in 2023 Government Decision no. 810 by which primary, secondary and upper secondary students benefit from free transportation based on their student card (Romanian Government 2023).
Apart from the travel time, financial difficulties also influence the decision to drop out of school. The lack of financial resources, time constraints, lack of prospects, and the need for the children to help with family responsibilities were the main dropout reasons cited by the interviewees (Figure 9).
When families struggle to meet their basic needs, such as housing, food, and healthcare, they often face difficult decisions about how to allocate their limited resources. In such circumstances, education can become a secondary priority, especially if the costs associated with schooling, such as uniforms, school supplies, and transportation, are perceived as too high (Evans and Ngatia 2018). Also, as was the situation in the families we interviewed, financial strain can increase pressure on the students to contribute to the family income through part-time work, which reduces the time and energy allocated to individual study. The interviewees mentioned financial and housing instability, as well as a situation in which the parents are forced to leave their children in the care of grandparents and move abroad for work. This context disrupted the children’s education and increased the likelihood of dropout. During the interviews, only the families from Otopeni mentioned school and community support through tutoring and extracurricular activities.
Moreover, family involvement in children’s education has a positive impact on the secondary school students’ academic achievement, school attendance, graduation, and matriculation to high education rates (Bordhan 2014). It is crucial for school success that families support and encourage children to attend despite financial difficulties, as in some cases in Bragadiru and Pantelimon. During the interviews, material deprivation and “losing time on the road” were the main reasons for school dropout. This study confirms the findings of previous studies that the socio-economic status is closely linked to school dropout; students from low-income families are 2.4 times more likely to drop out than middle-income students (Johnston 2010; Sosu et al. 2021).
Also, there is a strong correlation between income and the perceived importance of education. Students from socio-economically disadvantaged backgrounds often face academic difficulties, such as lower grades and accumulating fewer credits (Bowen et al. 2010). In low-income families, money is sometimes prioritized over education (Xiao et al 2022). This was the case in the families we interviewed in Chitila, Voluntari, Pantelimon, and Bragadiru, where economic affordability was the major reason for school dropout, especially in the case of families with multiple children, where the older children are often expected to help with household chores or take care of their siblings. Many interviewees mentioned that children over 14 years old were most likely to leave school before completing secondary education.
“He has done enough school (he has finished secondary education), and he doesn’t need secondary education (high school). Now, he has to work to bring money for his younger siblings. There are many of us in the house! For school, he used to go one hour each way. If every day he misses two hours on the road with the time spend at school, he misses a whole day...”.
(Ioana, 43 years old, mother of a child who dropped out of school at 15 years, Voluntari)
“He is too young (11 years old) to go to school alone, and we had to take him. We (grandparents) are too old to go with him every day. When his parents return from work abroad, they should take him to school more often. We give him food and a place to sleep”.
(Nicu, 78 years old, grandfather, Pantelimon)
“We are lucky with the headmistress. She is always caring with the kids and is there if they need anything. She told us that M. is a good child and we should let him continue his schooling”.
(Maria, 43, mother of a child who struggle with financial difficulties, Otopeni)
The interviews revealed that some children are pressed to work or help with household chores instead of spending time on school work. After speaking with 10 families whose children experienced school dropout, it was found that an exacerbated feeling of disengagement and alienation from the educational system contribute to the decision of dropout. Schools play a crucial role in supporting and guiding students on their social and educational paths (Voight and King-White 2021). The implementation of proactive measures, such as personalized counselling, academic intervention programs, and community outreach initiatives, can help schools to identify students at risk early and provide the necessary resources and support to address their needs. The creation of a supportive and inclusive learning environment that values diversity and encourages student engagement can help to mitigate the risk factors associated with dropout and foster a sense of belonging and motivation among students. By working together, teachers, parents, and stakeholders can empower students to overcome challenges, realize their potential, and stay on the path to academic success and personal fulfilment.
The findings of this study are valuable for school administrators and teachers, allowing them to tailor support services and interventions in order to meet the specific needs of students in their communities. Moreover, policymakers can use the study findings to understand the dynamics that influence educational outcomes in the satellite towns of Bucharest. This could lead to policy innovations aimed to reduce the dropout rates and improve school attainment.

5. Conclusions

The issue of school dropout in the satellite towns near Bucharest is complex and multifaceted, with various factors contributing to the decision of students to leave school prematurely. This study highlights the significant impact of the travel time to school, financial difficulties, and family background on dropout rates. Long travel times, particularly for students living more than 30 km away from school and facing transportation challenges, make school less attractive and contribute to absenteeism and disengagement. Financial constraints exacerbate the problem, especially where families prioritize immediate financial concerns over education. Also, family dynamics, such as parental migration for work or the need for older siblings to contribute to household income, can disrupt children’s education and increase the likelihood of dropout. The findings underscore the importance of proactive measures and targeted interventions to address the root causes of school dropout. Even if schools play a crucial role in providing and supporting at-risk students, collaboration between teachers, parents, and policymakers is essential to create a supportive and inclusive learning environment. A personalized intervention program and community involvement can help schools to identify at-risk students early and provide the necessary resources and support to help them to stay in school.

Author Contributions

Conceptualization, F.-B.P. and C.T.; methodology, F.-B.P., C.T. and A.C.; software, A.C. and C.T.; validation, C.T. and A.C.; formal analysis, F.-B.P. and C.T.; investigation, F.-B.P. and A.C.; resources, F.-B.P.; data curation, A.C.; writing—original draft preparation, F.-B.P., C.T. and A.C.; writing—review and editing, F.-B.P. and C.T.; visualization, A.C.; supervision, C.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of the University of Bucharest protocol no 42/19 May 2022.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

The authors would like to thank all those who participated in the interviews and contributed to this study.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Afoakwah, Clifford, and Isaac Koomson. 2021. How does school travel time impact children’s learning outcomes in a developing country? Review of Economics of the Household 19: 1077–97. [Google Scholar] [CrossRef]
  2. Archambault, Isabelle, Michel Janosz, Jean-Sébastien Fallu, and Linda S. Pagani. 2009. Student engagement and its relationship with early high school dropout. Journal of Adolescence 32: 651–70. [Google Scholar] [CrossRef]
  3. Battin-Pearson, Sara, Michael D. Newcomb, Robert D. Abbott, Karl G. Hill, Richard F. Catalano, and J. David Hawkins. 2000. Predictors of early high school dropout: A test of five theories. Journal of Educational Psychology 92: 568–82. [Google Scholar] [CrossRef]
  4. Bordhan, Sujit. 2014. Parental attitude towards schooling of their children. Journal of All India Association for Educational Research 26: 1–13. [Google Scholar]
  5. Bowen, William G., Matthew M. Chingos, and Michael S. McPherson. 2010. Crossing the Finish Line: Completing College at America’s Public Universities. Harvard Educational Review 80: 428. [Google Scholar]
  6. Coleman, James S. 1988. Social capital in the creation of human capital. American Journal of Sociology 94: 95–120. [Google Scholar] [CrossRef]
  7. Costa, Cayo, Jaehyun Ha, and Sugie Lee. 2021. Spatial disparity of income-weighted accessibility in Brazilian Cities: Application of a Google Maps API. Journal of Transport Geography 90: 102905. [Google Scholar] [CrossRef]
  8. Dickerson, Andy, and Steven McIntosh. 2013. The impact of distance to nearest education institution on the post-compulsory education participation decision. Urban Studies 50: 742–58. [Google Scholar] [CrossRef]
  9. Ding, Pengxiang, and SuweiF Feng. 2022. How School Travel Affects Children’s Psychological Well-Being and Academic Achievement in China. International Journal of Environmental Research and Public Health 19: 13881. [Google Scholar] [CrossRef]
  10. De Witte, Kristoff, Ides Nicaise, Jeroen Lavrijsen, Georges Van Landeghem, Carl Lamote, and Jan Van Damme. 2013. The impact of institutional context, education and labour market policies on early school leaving: A comparative analysis of EU countries. European Journal of Education 48: 331–45. [Google Scholar] [CrossRef]
  11. Eurostat. 2022a. Early School Leavers Down to 10% in 2022. Available online: https://ec.europa.eu/eurostat/web/products-eurostat-news/w/DDN-20230523-2 (accessed on 21 March 2024).
  12. Eurostat. 2022b. Educational Attainment Statistics. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Education_and_training_statistics_at_rgional_level#:~:text=In%202022%2C%20more%20than%20two,group%20might%20still%20be%20studying (accessed on 18 February 2024).
  13. Evans, David, and Irene Muthoni Ngatia. 2018. School Costs, Short-Run Participation, and Long-Run Outcomes: Evidence from Kenya; World Bank Policy Research Working Paper 8421; Washington, DC: The World Bank.
  14. Flannery, Darragh, and John Cullinan. 2014. Where they go, what they do and why it matters: The importance of geographic accessibility and social class for decisions relating to higher education institution type, degree level and field of study. Applied Economics 46: 2952–65. [Google Scholar] [CrossRef]
  15. Foster, E. Michael, and Sara McLanahan. 1996. An illustration of the use of instrumental variables: Do neighborhood conditions affect a young person’s chance of finishing high school? Psychological Methods 1: 249–60. [Google Scholar] [CrossRef]
  16. Frenette, Marc. 2006. Too Far to Go On? Distance to School and University Participation. Education Economics 14: 31–58. [Google Scholar] [CrossRef]
  17. Gaglione, Federica, Carmela Gargiulo, Floriana Zucaro, and Caitlin Cottrill. 2022. Urban accessibility in a 15-min city: A measure in the city of Naples, Italy. Transportation Research Procedia 60: 378–85. [Google Scholar] [CrossRef]
  18. García-Albertos, Pedro, Miguel Picornell Salas-Olmedo, María Henar, and Javier Gutiérrez. 2019. Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis. Transportation Research Part A: Policy and Practice 125: 294–307. [Google Scholar] [CrossRef]
  19. Gasper, Joseph, Stefanie DeLuca, and Angela Estacion. 2012. Switching Schools: Revisiting the Relationship Between School Mobility and High School Dropout. American Educational Research Journal 49: 487–519. [Google Scholar] [CrossRef]
  20. Grootaert, Christiaan, and Harry Anthony Patrinos. 1999. The Policy Analysis of Child Labor: A Comparative Study. New York: Palgrave MacMillan. [Google Scholar]
  21. Hagan, John, Ross Macmillan, and Blair Wheaton. 1996. New kid in town: Social capital and the life course effects of family migration on children. American Sociological Review 61: 368–85. [Google Scholar] [CrossRef]
  22. Haitao, Jin, Jin Fengjun, Hao Qing, Zhu He, and Yang Xue. 2019. Measuring public transit accessibility based on google direction API. The Open Transportation Journal 13: 93–108. [Google Scholar] [CrossRef]
  23. Hayes, Richard L., Judi-Lee Nelson, Melissa Tabin, George Pearson, and Charles Worthy. 2002. Using school-wide data to advocate for student success. Professional School Counseling 6: 86–94. [Google Scholar]
  24. He, Sylvia Y., and Genevieve Giuliano. 2018. School choice: Understanding the trade-off between travel distance and school quality. Transportation 45: 1475–98. [Google Scholar] [CrossRef]
  25. Janosz, Michel, Isabelle Archambault, Julien Morizot, and Linda S Pagani. 2008. School engagement trajectories and their differential predictive relations to dropout. Journal of Social Issues 64: 21–40. [Google Scholar] [CrossRef]
  26. Johnston, J. Howard. 2010. Dropout Prevention: A Research Brief. Fairfield: Education Partnerships, Inc. [Google Scholar]
  27. Lidbe, Abhay, Xiaobing Li, Emmanuel Kofi Adanu, Shashi Nambisan, and Steven Jones. 2020. Exploratory analysis of recent trends in school travel mode choices in the US. Transportation Research Interdisciplinary Perspectives 6: 100146. [Google Scholar] [CrossRef]
  28. Merce, Ioana Iuliana, Ioana Anda Milin, Cornelia Petroman, and Ramona Mariana Ciolac. 2015. School dropout–A social problem in Romania. Procedia-Social and Behavioral Sciences 182: 623–28. [Google Scholar] [CrossRef]
  29. Ministry of Education. 2022. Report on the State of Pre-University Education in Romania 2021–2022. Available online: https://www.edu.ro/sites/default/files/_fi%C8%99iere/Minister/2022/Transparenta/Starea_invatamantului/Raport-Starea-invatamantului-preuniversitar-2021-2022.pdf (accessed on 21 March 2024).
  30. Ministry of Education, Culture, Sports, Science and Technology. 2019. Recognition of the Current Status of Non-Attendance at School. Available online: http://www.mext.go.jp/a_menu/shotou/futoukou/03070701/002.pdf (accessed on 20 February 2024).
  31. National Institute of Statistics. 2022. Press Release No 159/2022. Available online: https://insse.ro/cms/sites/default/files/com_presa/com_pdf/sistemul_educational_2022_r.pdf (accessed on 21 March 2024).
  32. OECD. 2023. Education at a Glance 2023: OECD Indicators; Paris: OECD Publishing. Available online: https://doi.org/10.1787/e13bef63-en (accessed on 17 February 2024).
  33. Paraita, Carlos, and Margarita Pastor. 2000. The primary school dropout in Spain: The influence of family background and labor market conditions. Education Economics 8: 157–68. [Google Scholar] [CrossRef]
  34. Parlamentul Romaniei. 2011. National Education Law No. 1/2011. Bucharest: Monitorul Oficial Publishing House. [Google Scholar]
  35. Parlamentul Romaniei. 2023. Law No. 198/2023 on Pre-University Education. Bucharest: Monitorul Oficial Publishing House. [Google Scholar]
  36. Petre, Bogdan, Camelia Teodorescu, and Alexandra Cioclu. 2023. Connecting demographic growth to housing prices in Bucharest’s neighbouring towns. Human Geographies: Journal of Studies & Research in Human Geography 17. [Google Scholar] [CrossRef]
  37. Ramírez-Hassan, Andrés, Gustavo A. García, Estefanía Saravia, Juan Fernando Duque, and Daniel Londoño. 2023. What kind of schools parents choose when they have more options? Effects of school transport subsidies. Socio-Economic Planning Sciences 87: 101509. [Google Scholar] [CrossRef]
  38. Ream, Robert K. 2003. Counterfeit social capital and Mexican American underachievement. Educational Evaluation and Policy Analysis 25: 237–62. [Google Scholar] [CrossRef]
  39. Romanian Government. 2023. Decision No 810 Approving the Methodological Rules for Granting Transport Facilities for Pupils. Bucharest: Monitorul Oficial Publishing House. [Google Scholar]
  40. Roscigno, Vincent J., and Martha L. Crowley. 2001. Rurality, Institutional Disadvantage, and Aehievement/Attainment. Rural Sociology 66: 2. [Google Scholar] [CrossRef]
  41. Rumberger, Russell W. 1995. Dropping out of middle school: A multilevel analysis of students and schools. American Educational Research Journal 32: 583–625. [Google Scholar] [CrossRef]
  42. Salar, Asadolahi, James Farney, Triadafilos Triadafilopoulos, and Linda A. White. 2022. School choice, policy feedback effects, and policy outcomes: Understanding the relationship between government policy design and parent decisions to “stay” or “defect” from public education. Comparative Education 58: 242–59. [Google Scholar]
  43. Sosu, Edward M., Shadrach Dare, Claire Goodfellow, and Markus Klein. 2021. Socioeconomic status and school absenteeism: A systematic review and narrative synthesis. Review of Education 9: e3291. [Google Scholar] [CrossRef]
  44. Strange, Marty. 2011. Finding fairness for rural students. Phi Delta Kappan 92: 8–15. [Google Scholar] [CrossRef]
  45. Tansel, Aysit. 1997. Schooling attainment, parental education, and gender in Cote d’Ivoire and Ghana. Economic Development and Cultural Change 45: 825–56. [Google Scholar] [CrossRef]
  46. Tălângă, Cristian, Daniela Zamfir, and Ilinca Valentina Stoica. 2010. Urban-rural interface, polycentric development and transportation systems. Case study: Bucharest metropolitan area. Human Geographies-Journal of Studies & Research in Human Geography 4: 47–52. [Google Scholar]
  47. Vizcain, Dorian Charles. 2005. Investigating the Hispanic/Latino Male Dropout Phenomenon: Using Logistic Regression and Survival Analysis. Graduate Theses and Dissertations. Available online: https://scholarcommons.usf.edu/etd/896 (accessed on 18 February 2024).
  48. Voight, Adam, and Dakota King-White. 2021. School counselors’ role in supporting student voice initiatives in secondary schools. Multicultural Learning and Teaching 16: 63–79. [Google Scholar] [CrossRef]
  49. Xiao, Yunyu, Julian Chun-Chung Chow, Keqing Han, and Shencheng Wang. 2022. Expenditure patterns among low-income families in China: Contributing factors to child development and risks of suicidal ideation. Journal of Community Psychology 51: 560–83. [Google Scholar] [CrossRef]
Figure 1. Satellite cities of Bucharest.
Figure 1. Satellite cities of Bucharest.
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Figure 2. Travel time to school in Popesti-Leordeni.
Figure 2. Travel time to school in Popesti-Leordeni.
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Figure 3. Travel time to school in Pantelimon.
Figure 3. Travel time to school in Pantelimon.
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Figure 4. Travel time to school in Bragadiru.
Figure 4. Travel time to school in Bragadiru.
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Figure 5. Travel time to school in Magurele.
Figure 5. Travel time to school in Magurele.
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Figure 6. Travel time to school in Otopeni.
Figure 6. Travel time to school in Otopeni.
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Figure 7. Travel time to school in Chitila.
Figure 7. Travel time to school in Chitila.
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Figure 8. Travel time to school in Voluntari.
Figure 8. Travel time to school in Voluntari.
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Figure 9. The most used words of the interviewees when referring to school dropout.
Figure 9. The most used words of the interviewees when referring to school dropout.
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Petre, F.-B.; Teodorescu, C.; Cioclu, A. School Dropout in Satellite Towns around Bucharest, Romania. Soc. Sci. 2024, 13, 285. https://doi.org/10.3390/socsci13060285

AMA Style

Petre F-B, Teodorescu C, Cioclu A. School Dropout in Satellite Towns around Bucharest, Romania. Social Sciences. 2024; 13(6):285. https://doi.org/10.3390/socsci13060285

Chicago/Turabian Style

Petre, Florin-Bogdan, Camelia Teodorescu, and Alexandra Cioclu. 2024. "School Dropout in Satellite Towns around Bucharest, Romania" Social Sciences 13, no. 6: 285. https://doi.org/10.3390/socsci13060285

APA Style

Petre, F. -B., Teodorescu, C., & Cioclu, A. (2024). School Dropout in Satellite Towns around Bucharest, Romania. Social Sciences, 13(6), 285. https://doi.org/10.3390/socsci13060285

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