Coleção de Artigos Acadêmicos

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https://repositorio.insper.edu.br/handle/11224/3227

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A systematic literature review of citizen science in urban studies and regional urban planning: policy, practical, and research implications
(2025) Beck, Donizete; Mitkiewicz, Juliana
Citizen Science (CS) has been useful in research development and policymaking, where laypeople contribute to collecting and/or analyzing data. With the technological advancement of smart cities and data analysis techniques, CS helps foster efficient/sustainable cities and data-driven decision-making. However, more effort is needed to make CS more accessible for urban scholars and practitioners. Thus, we provided a comprehensive overview of CS in Urban Studies and Regional Urban Planning (USRUP) by revealing the main thematic/method approaches, stakeholder roles, socioeconomic/environ mental/policy impacts, limitations, best practices, and cases. Thus, we performed a Systematic Literature Review on CS in USRUP using the PRISMA Guidelines of 94 studies collected from the Web of Science Core Collection, published by 2023. Our key findings underscore the practical uses of diverse methodologies and approaches employed in CS projects, emphasizing their potential to enhance urban research and policymaking. The core socioeconomic impacts of CS projects are fostering community empowerment, engagement, and educational opportunities. The main environmental impacts are enhancing monitoring capabilities, improving ecosystem service assessments, and supporting adaptive management practices. As for urban planning and policies, CS projects can foster data-driven planning, urban sustainability, urban resilience, healthier cities, and social equity. CS challenges include data quality and consistency, the digital divide, and the need for sustained funding. Best practices have included clear communication, standardized protocols, and strong community engagement. Further developments should involve citizens in more analytical roles (rather than merely instrumental ones, like data collection) in CS projects and explore CS in social urbanism for transforming vulnerable communities.
Private ownership of water and wastewater systems: Assessing health impacts
(2025) Chaves, Rodrigo França; ADRIANO BORGES FERREIRA DA COSTA
This study examines the impact of private ownership of water and wastewater systems on disease reduction linked to sanitation in Brazil from 1998 to 2021. It updates Saiani and de Azevedo (2018), which analyzed the period 1995–2008, by incorporating over a decade of additional data, key policy changes such as the 2020 Sanitation Law, and employing the Callaway–Sant’Anna Staggered DID methodology to address heterogeneity in treatment effects. Our findings reveal mixed results: while some municipalities achieved reductions in morbidity rates, others showed no change or increases, underscoring the context-dependent nature of privatization outcomes. A notable example is the case of Tocantins, where transitioning from a hybrid private-state model to full private ownership led to a significant decrease in disease morbidity, particularly among the most affected age groups. These advancements provide a robust, updated perspective on the privatization debate, offering valuable implications for policy and practice.
Seis vezes “onze ilhas”: os múltiplos sentidos de individualismo em interpretações sobre o STF
(2024) DIEGO WERNECK ARGUELHES; LUIZ FERNANDO GOMES ESTEVES
O Supremo Tribunal Federal é uma instituição “individualista”? Em três décadas de estudos acadêmicos e debates públicos, tem sido recorrente o tema de um tribunal tão dividido quanto o número de ministros, sintetizado em variadas imagens, das quais “onze ilhas” é a mais popular. Há menos consenso, na verdade, do que sugere o uso generalizado e recorrente dessa metáfora. Neste trabalho, identificamos ao menos seis sentidos possíveis de “individualismo” como chave de leitura e crítica do funcionamento do tribunal – alguns deles sobre a atuação dos(as) ministros(as) dentro do colegiado, outros enfocando essa atuação fora do processo decisório colegiado. Sem clareza quanto a essas diferentes leituras e suas condições específicas de sucesso como descrições do STF, a maleabilidade das imagens sobre a natureza ou funcionamento da instituição se torna problemática. Neste artigo, recorrendo duas décadas de trabalhos empíricos e normativos sobre o STF, pretendemos contribuir para diagnósticos sobre o funcionamento do tribunal por meio da reconstrução conceitual: (1) dos diferentes sentidos possíveis em que o Supremo pode ser “individualista”, (2) das diferentes condições de sucesso de trabalhos empíricos que pretendam testar hipóteses sobre cada uma dessas dimensões, e (3) dos diferentes aspectos de desenho institucional relacionados às distintas dimensões.
The impact of gestational weight gain on fetal and neonatal outcomes: the Araraquara Cohort Study
(2024) Victor, Audêncio; Teles, Laísla de França da Silva; Aires, Isabel Oliveira; Carvalho, Leticia Falcão de; Luzia, Liania A.; Victor, Audêncio; Teles, Laísla de França da Silva; Rinaldo Artes; RINALDO ARTES; Rondó, Patrícia H.
Background: Gestational weight gain (GWG) is an important indicator for monitoring maternal and fetal health. Objective: To evaluate the effect of GWG outside the recommendations of the Institute of Medicine (IOM) on fetal and neonatal outcomes. Study design A prospective cohort study with 1642 pregnant women selected from 2017 to 2023, with gestational age≤18 weeks and followed until delivery in the city of Araraquara, Southeast Brazil. The relationship between IOM recommended GWG and fetal outcomes (abdominal subcutaneous tissue thickness, arm and thigh subcutaneous tissue area and intrauterine growth restriction) and neonatal outcomes (percentage of fat mass, fat-free mass, birth weight and length, ponderal index, weight adequateness for gestational age by the Intergrowth curve, prematurity, and Apgar score) were investigated. Generalized Estimating Equations were used. Results: GWG below the IOM recommendations was associated with increased risks of intrauterine growth restriction (IUGR) (aOR 1.61; 95% CI: 1.14–2.27), low birth weight (aOR 2.44; 95% CI: 1.85–3.21), and prematurity (aOR 2.35; 95% CI: 1.81–3.05), and lower chance of being Large for Gestational Age (LGA) (aOR 0.38; 95% CI: 0.28–0.54), with smaller arm subcutaneous tissue area (AST) (-7.99 g; 95% CI: -8.97 to -7.02), birth length (-0.76 cm; 95% CI: -1.03 to -0.49), and neonatal fat mass percentage (-0.85%; 95% CI: -1.12 to -0.58). Conversely, exceeding GWG guidelines increased the likelihood of LGA (aOR 1.53; 95% CI: 1.20–1.96), with lower 5th-minute Apgar score (aOR 0.42; 95% CI: 0.20–0.87), and increased birth weight (90.14 g; 95% CI: 53.30 to 126.99). Conclusion: Adherence to GWG recommendations is crucial, with deviations negatively impacting fetal health. Effective weight control strategies are imperative.
A dual character theory of law
(2024) GUILHERME DA FRANCA COUTO FERNANDES DE ALMEIDA
One persistent question in jurisprudence relates to the role of morality in the concept of law. For instance, consider the question of whether unjust statutes are laws. Legal positivists say that they’re laws in every relevant sense, while natural lawyers say that they’re not. This article considers a different answer inspired by recent findings in experimental philosophy: there is one relevant sense in which unjust statutes are laws, but also a different relevant sense in which they aren’t. After considering the ways in which this alternative differs from some of the mainstream theories in general jurisprudence, the article argues that it provides more elegant solutions to two problems that have puzzled legal philosophers in the past: the paradox of customary international law and the shifts in legal discourse over history.
Capital structure determinants of private and public firms in an emerging economy: a panel data quantile regression analysis
(2024) ADRIANA BRUSCATO BORTOLUZZO; Sanvicente, Antonio Zoratto; Bortoluzzo, Maurício Mesquita
Purpose This study explores distinct capital structure patterns between private and public companies, examining the varying influence of determinants on debt choices contingent upon a firm’s existing debt position. Design/methodology/approach Employing annual data from 2012 to 2022 for 142 public firms and 660 private firms in a large emerging economy, we use quantile regression within a panel data framework to study the heterogeneous effects of debt determinants, incorporating firm and time random effects. Findings Our findings indicate that such factors as size and operating margin contribute to higher levels of debt, while investment opportunities reduce the debt level. Further analyses, when accounting for a firm’s likelihood of being publicly traded, reveal that dividend payout and operating margin significantly influence debt levels, exclusively in the presence of high debt proportions. Conversely, investment opportunities emerge as a substantial determinant in all debt scenarios. In addition, we found a strong persistence in the indebtedness of companies, and we conclude that the effect of the determinants of indebtedness is heterogeneous according to the level of debt of companies. Originality/value This research provides a comprehensive comparison between private and public firms, not only in terms of debt levels but also in key capital structure determinants, highlighting their significance within the context of varying debt levels.
The dark side of the boom: dutch disease, competition with China, and technological upgrading in colombian manufacturing
(2024) Branstetter, Lee G.; Laverde-Cubillos, N. Ricardo
The natural resource boom of the 2000s spurred growth in income and consumption in many commodity-exporting nations. However, this paper brings together a previously unused combination of data sets from Colombia to document evidence of a downside – the currency appreciation associated with this boom led to a significant and persistent decline in R&D spending and in investment in technological upgrading by Colombian manufacturing firms. Our empirical strategy exploits differences in firms' sales across products and export destinations to create firm-specific measures of exposure to exchange rate shocks both abroad and at home. We link these new measurements of exchange rate exposure with Colombian micro data on R&D investment and technology upgrading. The key finding is that real exchange rate appreciation drives significant reductions in both firm-level R&D investment and a measure of technology upgrading that includes expenditure on capital goods, technology licensing, worker training, and other expenditures related to the adoption of new technology. Even after key commodity prices dropped significantly in the mid-2010s, inducing a substantial and long-lasting Colombian currency depreciation, investments in R&D and technology upgrading remained at subdued levels. Our estimated effects suggest that the resource boom and associated appreciation had a significant and persistent negative effect on technological development of Colombian manufacturing firm, and these conclusions remain even after careful attempts to simultaneously control for rising competition with Chinese manufacturers, which also had a negative effect on Colombian firms' technology investments, and the effects of trade liberalization at home and abroad. Similarities between Colombia and other commodity-exporters suggest that the effects documented in this paper may be widespread.
A aprendizagem da Libras na formação inicial de professores/Libras learning in initial teacher training
(2024) Lopes, Raquel Aparecida; Seixas, Catharine Prata; Neves, Sylvia Lia Grespan
Este estudo tem como objetivo examinar evidências da aprendizagem da Língua Brasileira de Sinais (Libras) por estudantes do curso de Pedagogia, além de refletir sobre a inclusão da disciplina de Libras no ensino superior e sua relevância na formação inicial de professores. Foi adotada uma abordagem qualitativa, investigando-se 10 estudantes de uma instituição privada de ensino superior no Estado de São Paulo. Os dados foram coletados por meio de um instrumento no qual o pesquisador apresenta 2 frases em Libras, que os estudantes devem identificar e registrar. A análise dos dados revelou um baixo domínio dos estudantes na compreensão de estruturas frasais em Libras, indicando despreparo para atuar na educação de pessoas surdas e a necessidade de reavaliar a organização da disciplina de Libras nos currículos do ensino superior
Determinant factors of banking proftability: an application of quantile regression for panel data
(2024) ADRIANA BRUSCATO BORTOLUZZO; Ciganda, Rodrigo Ricardo; Bortoluzzo, Mauricio Mesquita
This study examines the determinants of bank proftability using a quantile regression approach, ofering insights into factors afecting banks across diferent percentiles of proftability. Utilizing a comprehensive database from Orbis covering 1200 top-market institutions across 101 countries, the research uniquely employs dynamic panel quantile regression while addressing sample survival bias. Our fndings highlight that bank size and capital adequacy nega tively impact proftability, whereas market value exerts a positive infuence on higher proftability banks. Credit risk afects proftability diferently across levels of proftability, and infation rate shows signifcance only for higher proft ability banks. The study contributes to the existing literature by ofering valuable insights into the factors determining bank proftability and how they behave at diferent percentiles in the sample, suggesting the importance of bank efciency and competition in promoting economic growth
Access to fresh food in vulnerable urban areas: a classificatory study of slums and formal establishments in São Paulo
(2024) ANDRÉ LUIS DE CASTRO MOURA DUARTE; VINICIUS PICANÇO RODRIGUES; Alves, Raquel Carolinne Freitas; Oliveira, Gustavo Magalhães de
The environment significantly influences individuals’ food choices. Vulnerable urban areas, such as favelas, can have a decisive impact on discouraging the consumption of fresh, nutritionally rich foods. This issue is exacerbated by the urban infrastructure required to deliver fresh foods to these locations. Therefore, it is essential to understand the context of the favelas in the municipality of São Paulo in terms of the food environment and infrastructure to support the design of public policies that enhance the presence of minimally processed foods in these areas. We applied the k-means clustering method to two datasets: the food environment of favelas, characterized by food establishments, and the urban infrastructure of the favelas in the municipality of São Paulo. Of the city’s 1,701 favelas, only 271 have formally registered food establishments. Larger favelas with better urban infrastructure generally exhibited a food environment with greater access to fresh foods. The results suggest that investing in urban infrastructure can increase access to fresh foods in these areas. It is also necessary to consider local specificities to find effective solutions that increase the availability of minimally processed foods, thereby improving the population’s quality of life and health.
Media manipulation in young democracies: evidence from the 1989 brazilian presidential election
(2024) Cavgias, Alexsandros; Corbi, Raphael; Meloni, Luis; Novaes, Lucas M.
We investigate how dominant media networks can manipulate voters in young democracies. During the first presidential election after the democratic transition in Brazil, TV Globo, the largest and most-watched network in the country, unexpectedly manipulated the news coverage of the last debate 2 days before the decisive second round. In a video segment, Globo unfavorably depicted the left-wing candidate, Luiz Inácio Lula da Silva. Using the geographical distribution of broadcaster-specific TV signals and the timing of election events, we identify the effect of the manipulation net of the effect of the debate itself, showing that Globo’s misleading reporting caused Lula to lose millions of votes. Our results showcase how the media can reshape an election in a single stroke, especially where the media is concentrated and politically inexperienced voters have few other sources of information.
Technological Adoption: The Case of PIX in Brazil
(2024) Gabriel Bernardes Amboage; GUILHERME FOWLER DE AVILA MONTEIRO; ADRIANA BRUSCATO BORTOLUZZO
Purpose This study investigates the primary determinants of consumers' intention to adopt PIX as a payment method in Brazil, as well as their actual usage behavior. Design/methodology/approach The study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) to analyze both the intention to use and the actual period of use of PIX technology as a measure of practical usage. With this approach, researchers can determine whether people’s intention to use PIX translates into a higher rate of technology adoption and effective and sustained usage. The study collected data from 659 consumers across Brazil through a questionnaire and used structural equation analysis to analyze the data. Findings Research suggests that the intention to adopt PIX as a payment method is mainly determined by the perceived value, performance expectancy, and the habit of using mobile internet. Positive associations are also confirmed between adoption intention, the effective usage time of PIX, and the habit of using mobile internet in conjunction with PIX use. Originality/value The study’s uniqueness stems from its focus on the PIX usage, which is becoming the primary payment method in Brazil. It also measures the practical usage of the technology by examining the duration of user experience. This enables the assessment of whether the intention to use PIX effectively translates into a higher speed of technology adoption.
Digital Twin data architecture for Product-Service Systems
(2024) Durão, Luiz Fernando C.S.; Zancul, Eduardo; Schützer, Klaus
The digital representation of physical products by Digital Twins has been increasingly perceived as a relevant enabler for Product-Service Systems (PSS). Digital Twins concentrate product data that can be applied to generate insights and thus support value-added services. However, the literature on the intersection between Digital Twin and PSS has only recently started to receive more attention. There are still research gaps related to the required data and systems integration. In this context, this research aims to propose a Digital Twin data architecture to support Product-Service Systems operation. A Design Science Research (DSR) approach is applied, and the proposed architecture has been implemented and tested. Assessment results indicated that the proposed Digital Twin architecture fulfills the four requirements established from the literature: 1) facilitate and support the service offering; 2) acquire and transmit field operation and customer data; 3) integrate design and manufacturing data; 4) guarantee real-time monitoring, data integration, and data fidelity. The presented results provide an original contribution to the research area and can serve as a reference for applying Digital Twin to support PSS in practice.
Multichannel relational communication strategy: does one-sized strategy fit all customers?
(2024) CARLA SOFIA DIAS MOREIRA RAMOS; ADRIANA BRUSCATO BORTOLUZZO; DANNY PIMENTEL CLARO
This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer performance (low- versus high-performance customers) and to reconcile past contradictory results in this marketing-related topic. To this end, the authors propose and validate the method of quantile regression as an unconventional, yet effective, means to proceed to that reconciliation.
"They don’t let us speak”: gender, collegiality, and interruptions in deliberations in the Brazilian Supreme Court
(2024) DIEGO WERNECK ARGUELHES; Alvim, Juliana Cesario; Nogueira, Rafaela; Wang, Henrique
In this paper, we examine a database containing court rulings and debates (acórdãos) of the Brazilian Supreme Court (“STF”) spanning from 1999 to 2018. Our objective is to analyze the relationship between gender and how judges behave when interacting with each other. Specifically, we investigate whether female judges are more likely to be interrupted by their colleagues during oral debates. Our data are built on real-time public interactions between the judges, as recorded in the Court's transcripts. The results show that female STF judges are interrupted more often than their male counterparts. While male judges display no specific effects, all three female judges in our data display a very significant and positive probability of being interrupted, as compared to their male colleagues participating in the same deliberations. These results show that, even in institutions designed to protect rights of political minorities, including women, gender dynamics, stereotypes and hierarchies can affect the functioning of courts in visible ways, with potential impacts on the rest of the judiciary and the legal profession. They also suggest that merely increasing the number of female judges, without addressing underlying gender dynamics and procedural rules in the judicial decision-making process, is insufficient to tackle the disadvantages women face within those institutions.
Lawful, but not Really: The Dual Character of the Concept of Law
(2024) Flanagan, Brian; GUILHERME DA FRANCA COUTO FERNANDES DE ALMEIDA
Disagreement on law’s relationship to morality has long been driven by disagreement about our ordinary concept. Until recently, however, there had been no systematic investigation of lay intuitions. In this paper, we advance this nascent effort. Across two studies (N = 697), our findings reveal that most people consider law to be more than a matter of political circumstance alone. Contrary to the expectations of most contemporary philosophers, morality (both substantive and procedural) emerges as a key influence on judgments of legal validity: many people say that conduct prohibited by immoral statutes is not truly illegal, and that immoral conduct which was never explicitly prohibited is truly illegal. This suggests that people often treat law as a dual character concept that, like the concepts of scientist or of artist, features autonomous concrete and abstract dimensions.
A informatização dos tribunais brasileiros e as mudanças na burocracia judiciária: linearidade e instantaneidade observadas com a ajuda da metodologia do text mining
(2024) LUCIANA YEUNG LUK TAI; Silva, Paulo Eduardo Alves da
Este artigo busca avaliar o papel da informatização dos tribunais brasileiros na eficiência da burocracia judicial. Para isso, foi aplicada a técnica de text mining a grandes bases para extrair dados eletrônicos sobre os andamentos processuais em quatro tribunais do país. O objetivo foi diagnosticar a quantidade de rotinas no andamento processual e outras informações dos processos informatizados, avaliando seus impactos na burocracia judiciária. Os resultados indicam que, apesar dos diferentes sistemas eletrônicos adotados, os padrões apresentados nas métricas analisadas nos quatro tribunais foram bastante semelhantes. Observa-se também que, apesar da informatização, a dependência do trabalho humano, especificamente dos servidores, ainda é muito intensa. Além disso, constatou-se grande quantidade de rotinas no andamento do processo (centenas e, em alguns casos, mais de mil), o que, apesar da curta duração de cada uma, acaba tornando o processo longo. Assim, por trás da aparente celeridade e eficiência do processo eletrônico, existe uma morosidade devido à exigência do cumprimento de inúmeras rotinas, o que pode ser o principal obstáculo à maior celeridade no processo judicial pós-informatização.
From power asymmetry to collective action: Brazilian developers in the digital games ecosystem
(2024) CHARLES KIRSCHBAUM; Sakuda, Luiz Ojima
The purpose of the article is to explore the perceptions of Brazilian game developers about the power relations between them and the sponsors of digital game platforms. It also aims to identify forms of collective action that developers can use to counteract the asymmetry of power.
Urban Performance: A Systematic Literature Review Performance urbana: una revisión sistemática de la literatura sobre estudios urbanos
(2024) Beck, Donizete; Ferasso, Marcos
The focus here is to explore and organize the literature of urban studies on urban performance and the main indicators used. This study applies a literature review analysing a sample of 47 papers gathered from the Scopus database. All of the selected papers are concerned with urban studies, urban management, and urban planning. This study provides a guide for scholars and practitioners containing the main indicators used for measuring urban performance and how they can effectively explore those indicators to produce better research and policies. Findings reveal a synthesis of the most used indicators for measuring the urban performance of the mainstream approaches in urban studies (socioeconomic and demographic; environmental; smart cities; urban design, built environment, and territory; public administration, government, and governance; energy efficiency; sustainability and sustainable development; transportation and mobility; benchmarking; and global cities). Also provided are how these indicators can be better explored by scholars and practitioners. The social and managerial contributions of this paper lie in its synthesis of urban performance indicators, which can be useful for scholars to improve their research as well as to enable urban planners and managers to work more efficiently with urban policies and thus improve the desired urban performance for one or various approaches.
Entrepreneurship in times of economic stress: unraveling the U-shaped relationship between the internality of causal attributions and growth
(2024) GUILHERME FOWLER DE AVILA MONTEIRO; RINALDO ARTES
Purpose – This paper examines the relationship between entrepreneurs’ internality of causal attributions and firm growth during an economic crisis. We propose a U-shaped relationship between the two variables, arguing that the highest-growth entrepreneurs are those with either the highest or lowest levels of internal attribution (IA) during such periods.

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