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Revista Brasileira de Estudos Pedagógicos

Print version ISSN 0034-7183On-line version ISSN 2176-6681

R. Bras. Est. Pedag. vol.105  Brasília  2024  Epub Aug 23, 2024

https://doi.org/10.24109/2176-6681.rbep.105.5710 

ESTUDOS

Endogamy in the Brazilian Higher Education System: A descriptive analysis

Endogenia no sistema de ensino superior brasileiro: uma análise descritiva

Endogamia en el sistema de educación superior brasileño: un análisis descriptivo

Andrea Felippe CabelloI  II 
http://orcid.org/0000-0003-1489-0676

Luís Filipe de Miranda GrochockiIII  IV 
http://orcid.org/0000-0002-3902-2560

I Universidade de Brasília (UnB). Brasília, Distrito Federal, Brasil. E-mail: <andreafc@unb.br>;

II Doutora em Economia pela Universidade de Brasília (UnB). Brasília, Distrito Federal, Brasil.

III Ministério do Planejamento e Orçamento (MPO). Brasília, Distrito Federal, Brasil. E-mail: <luis.grochocki@planejamento.gov.br>;

IV Doutor em Política Educacional pela Universidade de Stanford. Stanford, Califórnia, Estados Unidos.


Abstract:

This study analyzes how academic endogamy is characterized in the Brazilian higher education system. Employing a descriptive methodology, based on data collected by Capes, we define that a researcher is inbred if he works at the same institution where he obtained his doctorate degree. This article is the first to measure endogamy by higher education institution in Brazil, which makes its results relevant for policy makers and universities. Endogamy occurs on average in 23% of academic hiring positions across the country, however, the results show that the rate of endogamy differs significantly between different types of institutions, areas of knowledge, states and university classification levels. This analysis provides further evidence that endogamy is more likely to occur in established elite research institutions and geographically concentrated in the most populous and developed regions.

Keywords: Academic endogamy; inbreeding; higher education; academic job market; academic mobility

Resumo:

Este estudo analisa como a endogenia acadêmica é caracterizada no sistema de ensino superior brasileiro. Utilizando-se de uma metodologia descritiva, e com base em dados da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, definimos que um pesquisador é endógeno se ele atua na mesma instituição pela qual obteve seu título de doutorado. Este artigo é o primeiro a medir a endogenia por instituição de ensino superior no Brasil, o que torna seus resultados relevantes para gestores de políticas e universidades. Esse fenômeno ocorre, em média, em 23% das contratações acadêmicas pelo País, contudo, os resultados mostram que a taxa de endogenia difere significativamente entre os distintos tipos de instituições, áreas do conhecimento, estados e níveis de classificação das universidades. Esta análise fornece mais evidências de que a endogenia é mais provável de ser encontrada em instituições de pesquisa de elite, estabelecidas e geograficamente concentradas nas regiões mais populosas e desenvolvidas.

Palavras-chave: endogenia acadêmica; endogenia; ensino superior; mercado de trabalho acadêmico; mobilidade acadêmica

Resumen:

Este estudio analiza cómo se caracteriza la endogeneidad académica en el sistema de educación superior brasileño. Utilizando una metodología descriptiva, y con base en datos de la Coordinación de Perfeccionamiento de Personal de Nivel Superior, definimos que un investigador es endógeno si trabaja en la misma institución en la que obtuvo su doctorado. Este artículo es el primero en medir la endogeneidad por institución de educación superior en Brasil, lo que hace que sus resultados sean relevantes para los gestores de políticas y las universidades. Este fenómeno ocurre, en promedio, en el 23% de las contrataciones académicas en todo el país, sin embargo, los resultados muestran que la tasa de endogamia difiere significativamente entre diferentes tipos de instituciones, áreas de conocimiento, entidades federativas y niveles de clasificación universitaria. Este análisis proporciona evidencia adicional de que es más probable que la endogeneidad se encuentre en instituciones de investigación establecidas y de élite que están geográficamente en las regiones más pobladas y desarrolladas.

Palabras clave: endogeneidad académica; endogamia; educación superior; mercado de trabajo académico; movilidad académica

Introduction

Endogamy or academic inbreeding, that is, hiring your own alumni as faculty has long been discussed as it is a common phenomenon in many institutions (for example, Berelson, 1960). However, skepticism in relation to this practice is also prevalent, due to its potential negative effects on scientific productivity and the development of research networks (Gorelova; Yudkevich, 2015).

When the supply of well-trained PhD graduates is scarce, endogamy might be expected, as well-ranked universities aim to hire their own students. This might be the case of higher educational systems that are not completely mature yet (Berelson, 1960; Horta; Sato; Yonezawa, 2011; Kossinets; Watts, 2009). The Brazilian higher education system was established and expanded quite late in comparison to other countries, as were its graduate programs (Sucupira, 1980). This may affect the availability of job positions and candidates, which could be the result of structural constraints to the academic job market. Thus, the reasons for a limited pool of applicants to academic jobs might go beyond individual preferences for a specific job offer.

Although a majority of the prestigious research institutions adopt public open contests for selecting professors, in accordance with Law 12,863 (Brasil, 2013), Brazil displays signs of academic endogamy among a substantial number of institutions. Balbachevsky (2016), for example, suggested that informal rules benefit alumni candidates in hiring processes. This may have impacts for the internationalization and the expansion of the Brazilian higher education. After all, non-alumni scholars could help establish new contacts and bolster networks both among distinct fields and among institutions.

In order to contribute to a better understanding of where endogamy takes place, this paper describes endogamy in the Brazilian higher education system, using information between 2007 and 2016 from graduate programs regulated by Capes. This study has been structured in three sections. Section one discusses the literature. Section two explains our method and shows our results. Lastly, section three contains our final remarks and comments.

Literature Review

There is some dispute on what academic endogamy consists of. Some researchers understand that endogamy happens whenever faculty members have received all or part of their education at the university where they currently work (Blau, 1973; Dutton, 1980; Hargens; Farr, 1973; McGee, 1960; Smyth; Mishra, 2014); others believe endogamy only occurs when a faculty member works on the same institution where they were granted their last or final degree, ignoring previous academic degrees (Berelson, 1960; Cruz-Castro; Sanz-Menéndez, 2010; Eisenberg; Wells, 2000; Horta; Veloso; Grediaga, 2010; Inanc; Tuncer, 2011; Wells; Hassler; Sellinger, 1979; Wyer; Conrad, 1984).

Endogamy can happen due to peculiarities of the hiring institution, such as administrative and bureaucratic convenience (McGee, 1960), compatible views and the institution and advisors’ own academic benefit (Eisenberg; Wells, 2000), social connections (Eisenberg; Wells, 2000; Godechot; Louvet, 2008), and lower hiring uncertainty (Blau, 1973; Gouldner, 1957; Majcher, 2005). It can also be due to institutional aspects of the higher educational system as whole (Altbach; Yudkevich; Rumbley, 2015), such as the stage of maturity of a higher education system (Berelson, 1960; Horta; Sato; Yonezawa, 2011), the prestige of the university, as the best students frequently come from elite institutions and these institutions want to retain their best candidates (Berelson, 1960; Eisenberg; Wells, 2000; Horta; Sato; Yonezawa, 2011; Wells; Hassler; Sellinger, 1979; Diramio; Theroux; Guarino, 2009; Young; Blackburn; Conrad, 1987), geographic isolation or limited selection processes, and budget constraints (Camacho, 2001; McGee, 1960; Horta Sato; Yonezawa, 2011). Some of these factors may apply to the case of Brazil.

As mentioned before, endogamy is feared due to its potential negative effects on scientific production (Dutton, 1980; Eisenberg; Wells, 2000; Hargens; Farr, 1973; Horta, 2013; Horta; Veloso; Grediaga, 2010; Inanc; Tuncer, 2011; Yudkevich; Sivak, 2012). However, there is some dispute that, in fact, there are significant differences in productivity among scholars (Clark; Larson, 1972; Cruz-Castro; Sanz-Menéndez, 2010; McGee, 1960; Wells; Hassler; Sellinger, 1979; Wyer; Conrad, 1984). Either way, studying the phenomenon and quantifying is a step forward in analyzing its effects in Brazil.

Hence, a variety of factors could be conjointly influencing the level of endogamy in the Brazilian higher education system, so it is important to properly describe the phenomenon and quantify its extension on the system as whole.

This paper contributes to the relevant literature on academic endogamy as such an extensive endeavor was never performed. The literature on academic endogamy is still scarce and it is usually limited to individual institutions or knowledge fields. Therefore, we fill an important gap that can also help institutions reflect on their current job selection process and, consequently, hire better candidates.

In Brazil, most analysis focus on specific knowledge fields (Cabello, 2018; Costa, 2020; Varella, 2015; Barbosa et al., 2018; Velho; Krige, 1984, Braga; Venturini, 2013; for a few examples). Grochocki and Cabello (2022), Borenstein, Perlin and Imasato (2022), Pelegrini and França (2020), and Balbachevsky (2016) are exceptions, with more comprehensive analysis, yet not very descriptive. Our paper complements their discussion, fulfilling this gap and using a more comprehensive database as well.

Method and Results

Our main hypothesis is that the rate of academic endogamy in Brazilian institutions is high, but it varies in magnitude among institutions. This study defines endogamy as the employment of students as scholars by the institution where they obtained their final degree (PhD), right after or up to 10 years from attaining that degree. This concept was adopted due to how influential the final degree of a scholar is in attaining the first academic position.

Our data comes from the Capes’ database1 (Coleta Capes and Plataforma Sucupira). The database is based on scholars that were active in graduate programs in Brazil between 2007 and 2016 and the information is provided by the graduate programs for official evaluation purposes. It is self-reported by all higher education institutions registered and authorized to offer graduate programs in the Brazilian higher education system.

For this research, endogamy is identified when students are employed as scholars by the institution where they attained their final degree (PhD). Our variable of interest, therefore, is a binary variable that assumes value 1 when PhD institution = Institution where scholar currently works as faculty and 0 when this is not the case. Each institution then had its percentage of inbred scholars calculated according to this variable.

Appendix Table 1 ranks institutions by their percentage of endogamy among active tenured professors in 2016. Only institutions with a faculty body larger than 49 scholars are ranked to both prioritize larger institutions and avoid discrepancies due to small sample sizes. The degree of endogamy nationwide is 23%. This might not seem too high; however, it is still significant when compared to Germany (1%), though not as high as Mexico (53%). At first glance, it could be said it is closer to what was detected in France (30%) (Godechot; Louvet, 2008; Padilla, 2008).

According to Appendix Table 1, academic institutions only get close to the national average (23%) around the 40th place. For example, in 2016, the main campus of the University of São Paulo had 70% of its scholars hired from within. Both campuses of the University of Campinas also have high levels of alumni faculty with 68.7% in Piracicaba and 55.3% in Campinas. The Federal University of Rio de Janeiro and the State University of São Paulo - campus São José dos Campos - are also within the margin of 50%. Since most of these universities are top-ranked2 both in Brazil and Latin America, it would be interesting to understand how productivity is affected by endogamy and how these organizations behave in such a homogeneous environment.

Notwithstanding, as shown previously, the Brazilian system was established and expanded at a later stage which would result in a large number of young universities with a full body of scholars hired from other institutions. This should decrease the system’s average when including both young and established institutions. Therefore, breaking these numbers down into categories is necessary for a proper understanding of this phenomenon, as well as looking at individual universities themselves.

Graph 1 shows the level of inbred scholars - or academic endogamy - by type of institution.

Source: Composed by the authors

Graph 1  Inbred scholars by Higher Education Institution type 

Our database was obtained through a formal request to Capes. Graph 1 demonstrates that state and federal universities exhibit higher endogamy in comparison to private and municipal ones. In Brazil, these two types of public institutions are the ones with the highest number of graduate programs and students. This characteristic is in accordance with what was found previously, where institutions that are relevant trainers of PhD students have additional external reasons to hire their own graduates (Berelson, 1960; Eisenberg; Wells, 2000; Horta; Sato; Yonezawa, 2011; Wells; Hassler; Sellinger, 1979).

Over time, endogamy seems to be rising among federal, private and municipal institutions, while decreasing for state institutions. This may be related to the development of other more recent institutions, the expansion of universities in Brazil in general and of graduate studies as well. The increase in the number of federal and private institutions in the last few years was remarkable and this may have diversified the pool of candidates from which institutions can hire their faculty.

State institutions may be driven by the University of São Paulo (USP) and the State University of Campinas (Unicamp). It is interesting that this group shows the highest level of endogamy of all other groups. There is a curious increment between 2012 and 2013 for federal universities that could perhaps be explained by the federal initiative Reuni (Program for the Support of the Restructuring and Expansion Plans of Federal Universities), which created 18 new universities (total of 63 in 2015) and 173 new campuses (total of 321 in 2015) between 2003-2014, and 21,786 new job positions between 2008-2012 (Brasil. MEC, 2012).

Private institutions display a much lower number of inbred scholars, however, most graduate programs linked to these institutions were established quite recently. Thus, these institutions only had the option to hire faculty among graduates from other institutions, resulting in a group of scholars from a much more diverse academic background. Municipal universities are in a similar situation, where most of their programs are recent and small. Therefore, hiring from outside seems to be the most viable option.

Considering the large variety of knowledge fields that are covered in graduate programs, Capes groups distinct topics by broad fields of knowledge, according to the classification of the Organization for the Economic Cooperation and Development (OECD). Graph 2 shows the level of inbred faculty by knowledge field.

Source: Composed by the authors

Graph 2  Inbred scholars by knowledge field 

Graph 2 summarizes the results for the six broad knowledge fields plus an interdisciplinary one that was added to address multifaceted courses. It is intriguing that the fields in Science, Technology, Engineering and Math (STEM), such as Medical and Health Sciences, Engineering and Technology, and the Natural Sciences seem to have a higher concentration of endogamy in comparison to the social sciences and humanities. Regarding the interdisciplinary category, a lower percentage was already expected as these fields bring together faculty from different areas of knowledge, making it less likely for alumni to be selected. Besides, interdisciplinarity is a recent approach in academia, which might explain why there are fewer inbred scholars in that category. However, there seems to be a tendency for growth in most fields, especially after 2012, which again may relate to the expansion of higher education and of graduate studies in Brazil in the last two decades.

Graph 3 shows the level of inbred scholars by region. In Graph 3, it is possible to identify that endogamy is concentrated in the most populous and richest regions of the country, where São Paulo and Rio de Janeiro - the two largest cities by population - are located, and lowest in the regions that are further away from this area. Hence, geographical location might be playing a role in Brazil (Camacho, 2001; McGee, 1960). In addition, many academic training and job opportunities are offered in the Southeast, South, and Northeast regions. However, considering the large number of institutions available in those regions, it would be likely for their alumni to be more spread and distributed among universities, instead of being so concentrated in their own Alma Mater, which would drag down endogamy indicators.

Source: Composed by the authors

Graph 3  Inbred scholars by region 

Finally, as described previously, the best ranked graduate programs in Brazil are concentrated in the Southeast and South regions. Despite being an additional stimulus for alumni to apply as faculty in their home institutions, competition for those job opportunities would be expected to be higher, which could diminish endogamy. However, it seems the potential of a competitive market is not enough to significantly impact endogamy in those regions. Perhaps, it is the case of internal markets, where candidates looking for prestigious research track positions are prioritizing these regions and top research universities are focusing on avoiding the risk of hiring external unknown applicants.

The reasons why regions have such distribution of scholars might be better understood when looking at the percentage of endogamy per state in Table 1.

Table 1 Average Endogamy Percentage by State - 2007-2016 

State Average Endogamy Percentage - 2007-2016
AC 0,19%
AL 8,34%
AM 8,52%
AP 1,64%
BA 14,29%
CE 14,61%
DF 23,69%
ES 6,26%
GO 6,43%
MA 2,00%
MG 16,19%
MS 2,73%
MT 1,50%
PA 14,63%
PB 9,35%
PE 17,42%
PI 0,01%
PR 9,06%
RJ 24,71%
RN 11,71%
RO 3,27%
RR 0,50%
RS 20,40%
SC 15,84%
SE 3,32%
SP 39,56%
TO 2,44%

Source: Composed by the authors.

It seems that the states of São Paulo (SP) and Rio de Janeiro (RJ) highly impact the concentration of inbred faculty in the Southeast region. As the most populous state in Brazil, São Paulo also has the highest concentration of master’s and PhD programs and three of the best ranked universities in the country (USP, Unicamp and Unesp).

The University of São Paulo (USP) and the State University of São Paulo (Unesp) are two of the public universities with the most students (97,982 and 53,988) in the nation. Being such large producers of students could be why endogamy ensues. This study controls for specific campuses when measuring such a practice, so that if a graduate of one campus was hired by another, it would not count. However, even after controlling for specific campuses, in 2016, the state of São Paulo still presented an impressive percentage of 37% of inbred scholars in its universities.

In the South region, the state of Rio Grande do Sul (RS) drives the level of endogamy up, while in the Midwest region, this is also the case of the Federal District (DF). That is, geography and socioeconomic factors seem to be some of the main determinants of academic endogamy in Brazil.

In Table 1, in the North and Northeast regions, Pará (PA) and Amazonas (AM) and Ceará (CE) and Bahia (BA) also push the percentage of their regions up. However, although a higher concentration is still found in the most populous states, the Northeast region has a somehow more balanced level of academic endogamy across its states (AL, BA, CE, MA, PB, PE, RN, and SE). Most states seem to be increasing their numbers, São Paulo is an exception, but it is still far from the average of others.

Graph 4 shows inbred scholars by graduate program tier, as evaluated by Capes.

Source: Composed by the authors.

Graph 4  Inbred scholars by graduate program tier 

Finally, as observed in Figure 1, when analyzing the degree of endogamy by graduate program tier, the two top ranked groups present the highest concentration. According to Capes’ graduate evaluation criteria, programs ranked 6 and 7 are considered “international level”. On average, they are supposed to be the ones with the best students and core faculty and, consequently, the highest academic production in their fields.

It is also noteworthy that programs on average display an increase in the degree of endogamy as their ranks go up. This intense level of endogamy with high quality of scientific production is likely due to hiring their best students, who could also be the best candidates in the market (Horta; Sato; Yonezawa, 2011; Padilla, 2008).

Another appealing way of visualizing the Brazilian higher education system is to observe how concentrated it is in the most populous and developed states of the country. Figure 1 exhibits four maps of Brazil with the national distribution of academic endogamy, scholars’ job positions, alma mater, and ranking tiers.

Source: Composed by the authors

Figure 1  Maps of the Brazilian Higher Education system 

São Paulo and other states in the Southeast region of Brazil are highly influential in Brazilian academia, as they are main providers of highly trained scholars. In 2016, out of those who studied in a Brazilian university, 49% of the permanent scholars attained their final degree at an institution in the state of São Paulo; Rio de Janeiro comes second with 15%; Minas Gerais and Rio Grande do Sul are third with 8% each. In terms of scholars’ job positions, due to the number of universities and students, states in the South and Southeast regions also concentrate the most opportunities. Finally, once again, when looking at the distribution of programs ranked 5 through 7, it is found that they are similarly concentrated in the South and Southeast regions. This should reinforce the idea that competition for a faculty position in these states would be higher. However, as shown in the map, those states have the highest percentage of endogamy. Hence, it seems that institutions which are relevant trainers of PhD students have additional internal reasons to hire their own graduates and that a combination of geographical, academic, and economic characteristics are influencing candidates to remain at the states where they attained their PhD.

Conclusion

The goal of this paper was to analyze how academic endogamy is characterized in the Brazilian higher education system. For that, defined that a researcher is inbred if they work at the same institution where they obtained their doctorate degree. We used a descriptive methodology, and based on data from Capes, we revealed that the Brazilian higher education system has a high percentage of academic endogamy.

Endogamy occurs on average in 23% of academic hiring across the country, however, the results reveal that the rate of endogamy differs significantly between different types of institutions, areas of knowledge, states and university classification levels. This analysis provides further evidence that endogamy is more likely to be identified in established elite research institutions and geographically concentrated in the most populous and developed regions. If not as substantial as expected nationwide, it is when looking within fields, states, and tier ranking. This is especially true when analyzing elite graduate programs in the STEM fields in the South and Southeast regions of Brazil.

This article is the first to measure endogamy by higher education institution in Brazil, so it makes a clear contribution to the literature. It also makes its results relevant for policy makers and universities, especially when it comes to hiring policies.

These results seem to be in accordance with what was discovered in studies in other countries, in which two factors may be at play: the practice of “academic nepotism”, that is, the adoption of directed public calls which purposely limit the pool of candidates. Additionally, even applicants themselves could be avoiding running for positions at different institutions/cities for the lack of incentives or job market mobility culture. These two characteristics would partially explain the push towards establishing an internal market in academia.

While it is possible that this could be the case of Brazil, at the level that it was found at elite universities, it is also likely that structural constraints in the system are impacting how homogeneous the supply of qualified candidates is. Perhaps, new policies should be tested to promote the exchange of young graduates and scholars among national institutions by offering additional wage or research benefits. Moreover, programs could be launched or reinforced to facilitate the return of Brazilian graduate students and scholars who are studying or working abroad to help diversify and enhance research networks throughout the country.

Moreover, the highly concentrated graduate system in the South and Southeast regions supports endogamy in elite programs, which despite any formal benefit for those schools, could also be keeping qualified scholars from being redistributed to other regions in Brazil, making it harder for programs to improve their quality. Brazil has promoted decentralization and diversification policies in its higher education recently, but it seems like they were not enough to break these enduring patterns.

Having really robust graduate programs in specific universities is strategic, but having all of them in a limited number of institutions and states may not be the best policy for developing a national education system. Perhaps, the establishment and strengthening of programs in specific fields, where states have a geographic advantage, could be a way of better sharing the quality of scholars and graduate programs throughout the nation.

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1Our database was obtained through a formal request to Capes. However, it is currently publicly available at https://dadosabertos.capes.gov.br/

2For example, in international rankings such as Times Higher Education.

Appendix

Table 1  University ranking by endogamy level 2016 

Rank University Region State Institution Type Sample size Inbred Scholars Endogamy
1 Universidade de São Paulo - main campus Southeast SP State university 4,482 3,138 70.0%
2 Universidade Estadual de Campinas - Piracicaba Southeast SP State university 115 79 68.7%
3 Universidade Estadual de Campinas - main campus Southeast SP State university 1,993 1,103 55.3%
4 Universidade Federal do Rio de Janeiro Southeast RJ Federal university 2,545 1,314 51.6%
5 Universidade Estadual Paulista Júlio de Mesquita Filho - São José dos Campos Southeast SP State university 70 35 50.0%
6 Universidade de São Paulo - Ribeirão Preto Southeast SP State university 873 432 49.5%
7 Universidade Federal do Rio Grande do Sul South RS Federal university 1,864 900 48.3%
8 Universidade Federal de São Paulo Southeast SP Federal university 1,219 552 45.3%
9 Universidade Federal de Minas Gerais Southeast MG Federal university 2,067 928 44.9%
10 Universidade Estadual Paulista Júlio de Mesquita Filho - Botucatu Southeast SP State university 512 226 44.1%
11 Pontifícia Universidade Católica de São Paulo Southeast SP Private university 443 192 43.3%
12 Centro Brasileiro de Pesquisas Físicas Southeast RJ Federal research center 62 26 41.9%
13 Universidade de São Paulo - Escola Superior de Agricultura Luiz de Queiroz Southeast SP State university 235 87 37.0%
14 Instituto Nacional de Pesquisas Espaciais Southeast SP Federal research center 189 67 35.4%
15 Fundação Oswaldo Cruz - São Paulo Southeast SP Federal research center 837 283 33.8%
16 Fundação Getúlio Vargas - São Paulo Southeast SP Private university 132 44 33.3%
17 Universidade de São Paulo - Bauru Southeast SP State university 87 29 33.3%
18 Instituto Tecnológico de Aeronáutica Southeast SP Federal university 180 59 32.8%
19 Universidade de Brasília Midwest DF Federal university 1,683 550 32.7%
20 Universidade Federal de Pernambuco Northeast PE Federal university 1,361 442 32.5%
21 Universidade Federal de Santa Catarina South SC Federal university 1,525 485 31.8%
22 Instituto Nacional de Matemática Pura e Aplicada Southeast RJ Federal research center 71 22 31.0%
23 Universidade Federal da Bahia Northeast BA Federal university 1,407 433 30.8%
24 Universidade Estadual Paulista Júlio de Mesquita Filho - Franca Southeast SP State university 98 30 30.6%
25 Faculdade de Ciências Médicas da Santa Casa de São Paulo Southeast SP Private university 96 29 30.2%
26 Universidade Federal do Ceará Northeast CE Federal university 1,092 315 28.8%
27 Universidade Estadual Paulista Júlio de Mesquita Filho - Araraquara Southeast SP State university 361 102 28.3%
28 Pontifícia Universidade Católica do Rio de Janeiro Southeast RJ Private university 499 139 27.9%
29 Faculdade de Medicina de São José do Rio Preto Southeast SP State university 72 20 27.8%
30 Universidade de São Paulo - São Carlos Southeast SP State university 605 164 27.1%
31 Universidade Federal de Viçosa Southeast MG Federal university 629 169 26.9%
32 Universidade Federal do Paraná South PR Federal university 1,379 368 26.7%
33 Universidade Federal do Pará North PA Federal university 998 262 26.3%
34 Universidade Estadual Paulista Júlio de Mesquita Filho - Jaboticabal Southeast SP State university 234 60 25.6%
35 Universidade Federal de Lavras Southeast MG Federal university 387 98 25.3%
36 Universidade Estadual Paulista Júlio de Mesquita Filho - Araçatuba Southeast SP State university 86 21 24.4%
37 Instituto Nacional de Pesquisas da Amazônia North AM Federal research center 140 34 24.3%
38 Universidade Estadual Paulista Júlio de Mesquita Filho - Rio Claro Southeast SP State university 296 66 22.3%
39 Pontifícia Universidade Católica do Rio Grande do Sul South RS Private university 390 81 20.8%
40 Universidade Federal do Rio Grande do Norte Northeast RN Federal university 1,135 230 20.3%
41 Universidade Estadual do Norte Fluminense Southeast RJ State university 262 53 20.2%
42 Universidade Federal de São Carlos Southeast SP Federal university 948 190 20.0%
43 Universidade Federal Rural do Rio de Janeiro Southeast RJ Federal university 502 99 19.7%
44 Universidade Federal de Campina Grande Northeast PB Federal university 388 73 18.8%
45 Universidade Estadual Paulista Júlio de Mesquita Filho - Guaratingueta Southeast SP State university 78 14 17.9%
46 Universidade Federal de Santa Maria South RS Federal university 888 159 17.9%
47 Universidade do Estado do Rio de Janeiro Southeast RJ State university 1,270 219 17.2%
48 Universidade Federal Fluminense Southeast RJ Federal university 1,463 252 17.2%
49 Universidade Estadual Paulista Júlio de Mesquita Filho - Marilia Southeast SP State university 163 28 17.2%
50 Universidade Metodista de Piracicaba Southeast SP Private university 76 13 17.1%
51 Universidade Federal de Pelotas South RS Federal university 635 101 15.9%
52 Universidade Federal da Paraíba - João Pessoa Northeast PB Federal university 918 139 15.1%
53 Instituto Militar de Engenharia Southeast SP Federal university 86 13 15.1%
54 Universidade Metodista de São Paulo Southeast SP Private university 53 8 15.1%
55 Universidade Federal do Rio Grande South RS Federal university 414 62 15.0%
56 Instituto de Medicina Integral Professor Fernando Figueira Northeast PE Private university 82 11 13.4%
57 Universidade Estadual Paulista Júlio de Mesquita Filho - São José do Rio Preto Southeast SP State university 232 31 13.4%
58 Fundação Getúlio Vargas - Rio de Janeiro Southeast RJ Private university 120 16 13.3%
59 Universidade Federal de Goiás Midwest GO Federal university 1,174 151 12.9%
60 Universidade Federal do Estado do Rio de Janeiro Southeast RJ Federal university 416 51 12.3%
61 Universidade do Vale do Rio dos Sinos South RS Private university 322 38 11.8%
62 Universidade Federal do Espírito Santo Southeast ES Federal university 883 104 11.8%
63 Universidade Federal de Alagoas Northeast AL Federal university 545 64 11.7%
64 Universidade Federal de Ciências da Saúde de Porto Alegre South RS Federal university 128 15 11.7%
65 Pontifícia Universidade Católica de Minas Gerais Southeast MG Private university 255 28 11.0%
66 Universidade Federal de Itajubá Southeast MG Federal university 184 20 10.9%
67 Pontifícia Universidade Católica do Paraná South PR Private university 241 26 10.8%
68 Universidade Federal Rural de Pernambuco Northeast PE Federal university 466 50 10.7%
69 Universidade Estadual de Maringá South PR State university 683 71 10.4%
70 Universidade Estadual de Londrina South PR State university 649 65 10.0%
71 Universidade Federal de Uberlândia Southeast MG Federal university 787 77 9.8%
72 Universidade Federal do Triângulo Mineiro Southeast MG Federal university 196 19 9.7%
73 Universidade do Extremo Sul Catarinense South SC Private university 83 8 9.6%
74 Universidade Estadual Paulista Júlio de Mesquita Filho - Assis Southeast SP State university 73 7 9.6%
75 Universidade do Vale do Itajaí South SC Private university 141 13 9.2%
76 Universidade Federal do Amazonas North AM Federal university 544 50 9.2%
77 Universidade Católica Dom Bosco Midwest MS Private university 56 5 8.9%
78 Universidade de Pernambuco Northeast PE State university 216 19 8.8%
79 Universidade Estadual Paulista Júlio de Mesquita Filho - São Paulo Southeast SP State university 104 9 8.7%
80 Universidade Federal de Mato Grosso do Sul Midwest MS Federal university 542 45 8.3%
81 Universidade Salvador Northeast BA Private university 51 4 7.8%
82 Universidade do Vale do Paraíba Southeast SP Private university 64 5 7.8%
83 Faculdade São Leopoldo Mandic Southeast SP Private university 52 4 7.7%
84 Universidade Presbiteriana Mackenzie Southeast SP Private university 185 14 7.6%
85 Universidade do Estado do Amazonas North AM State university 139 10 7.2%
86 Universidade Federal de Ouro Preto Southeast MG Federal university 391 27 6.9%
87 Universidade Estadual do Ceará Northeast CE State university 388 26 6.7%
88 Universidade de Fortaleza Northeast CE Private university 152 10 6.6%
89 Universidade Federal de Sergipe Northeast SE Federal university 675 44 6.5%
90 Universidade Estadual Paulista Júlio de Mesquita Filho - Ilha Solteira Southeast SP State university 139 9 6.5%
91 Universidade do Estado da Bahia Northeast BA State university 236 15 6.4%
92 Pontifícia Universidade Católica de Campinas Southeast SP Private university 97 6 6.2%
93 Universidade Católica de Brasília Midwest DF Private university 115 7 6.1%
94 Universidade Estadual Paulista Júlio de Mesquita Filho - Presidente Prudente Southeast SP State university 116 7 6.0%
95 Universidade Estadual de Feira de Santana Northeast BA State university 276 16 5.8%
96 Universidade Federal Rural da Amazônia North AM Federal university 71 4 5.6%
97 Universidade Tuiuti do Paraná South PR Private university 54 3 5.6%
98 Universidade Federal de Juiz de Fora Southeast RJ Federal university 649 36 5.5%
99 Universidade Estadual Paulista Júlio de Mesquita Filho - Bauru Southeast SP State university 210 11 5.2%
100 Universidade de Ribeirão Preto Southeast SP Private university 59 3 5.1%

Source: Composed by the authors.

Received: April 27, 2023; Accepted: June 12, 2024

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