THE MODERATING ROLE OF MARKET STRUCTURE ON THE RELATIONSHIP BETWEEN FIRM OPERATIONAL PERFORMANCE AND DEGREE OF OPERATING LEVERAGE

This article investigates the moderation role of market structure on the relationship between operational performance and firms’ costs composition. The Herfindahl-Hirschman Index (HHI) were adopted as proxy for market structure; for operational performance, Return on Invested Capital (ROIC); and for firms’ cost choices, the Degree of Operating Leverage (DOL). The database covers non-financial firms at Brazilian market from 1996 to 2016, third quarter. The output points toward to market structure moderation of the relationship between ROIC and DOL with an increase of the effect when markets move to a monopolistic structure. Overall results suggest the existence of a relation between firms’ operational performance and cost behavior, indicated by a negative relationship between ROIC and DOL. Furthermore, we notice a moderating role of Size on market structure (HHI) moderation role on the relationship between ROIC and DOL, in the extent that market structure moves towards a higher concentration level configuration, the moderating effect of HHI becomes more latent

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

The "early experience of punishment": juvenile justice, adolescents in conflict with law and residential institutions

PresentationApresentaçã

A “experiência precoce da punição”: justiça juvenil, adolescentes em conflito com a lei e instituições de internamento

Apresentaçã

A segurança prisional como campo de pesquisas: Entrevista com o pesquisador Luiz Antônio Bogo Chies

Professor Luiz Antônio Bogo Chies is undoubtedly a reference within prison studies in our country. Always thinking in an interdisciplinary way, with his training and work in both Sociology and Law, his contribution is vast, important and fundamental. In this interview he offers us a very rich overview of the prison work carried out by prison officers, bringing important discussions and mobilizing reflections from authors such as Raul Zaffaroni, Pierre Bourdieu and Michel Foucault to build understandings and meanings that make up the work of custody and its challenges. Furthermore, it also rescues and records the historicity of this field of research.Entrevista com o  professor Luiz Antônio Bogo Chies: a segurança prisional como campo de pesquisa