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This paper aims to analyze what Samarco and Brazilian magazines speak and say about Mariana’s environmental crime. Discover their doxa in this subject. Interpret the speakings, sayings and doxas through the theories of the treadmills of production, crime and law.

It is a qualitative and documental research and a narrative analysis. Regarding the documents: 45 were from public authorities, 14 from Samarco Mineração S.A. and 73 from Brazilian magazines. Theoretically, the authors resorted to Bourdieusian sociology (speaking, saying and doxa) and the treadmills of production, crime and law theories.

Samarco: speaking – mission statements; saying – detailed information and economic and financial concerns; doxa – assistance discourse. Brazilian magazines: speaking – external agents; saying – agreements; doxa – attribution, aggravations, historical facts, impacts and protests.

The absence of discussions that addressed this fatality, with its respective consequences, from an agenda that exposed and denounced how it exacerbated race, class and gender inequalities.

Regarding Mariana’s environmental crime: Samarco Mineração S.A. speaks and says through the treadmill of production theory and supports its doxa through the treadmill of crime theory, and Brazilian magazines speak and say through the treadmill of law theory and support their doxa through the treadmill of crime theory.

To provoke reflections on the relationship between the mining companies and the communities where they settle to develop their productive activities.

Concerning environmental crime in perspective, submit it to a theoretical interpretation based on sociological references, approach it in a debate linked to environmental criminology, and describe it through narratives exposed by the guilty company and by Brazilian magazines with high circulation.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.

This study aims to evaluate the effectiveness of machine learning models to yield profitability over the market benchmark, notably in periods of systemic instability, such as the ongoing war between Russia and Ukraine.

This study made computational experiments using support vector machine (SVM) classifiers to predict stock price movements for three financial markets and construct profitable trading strategies to subsidize investors’ decision-making.

On average, machine learning models outperformed the market benchmarks during the more volatile period of the Russia–Ukraine war, but not during the period before the conflict. Moreover, the hyperparameter combinations for which the profitability is superior were found to be highly sensitive to small variations during the model training process.

Investors should proceed with caution when applying machine learning models for stock price forecasting and trading recommendations, as their superior performance for volatile periods – in terms of generating abnormal gains over the market – was not observed for a period of relative stability in the economy.

This paper’s approach to search for financial strategies that succeed in outperforming the market provides empirical evidence about the effectiveness of state-of-the-art machine learning techniques before and after the conflict deflagration, which is of potential value for researchers in quantitative finance and market professionals who operate in the financial segment.

Constrained input use and lower productivity of rural establishments may be associated with restricted or concentrated access to financial resources, especially in developing countries. Meanwhile, agricultural activity entails risks associated with the volatility of net cash flows and external events, which may discourage riskier but higher return investments (e.g. technology). As rural credit can alleviate the former, and rural insurance may help alleviate the latter, the combination of both policies might endorse each other. The purpose of this study is to analyze the use of rural credit and rural insurance policies with respect to productivity and crop area, in São Paulo state, Brazil, using farmer's microdata from two surveys realized in 2007/08 and 2016/17.

This study uses propensity score matching and the entropy balance approaches in a complementary way. This study compared three policy treatments – rural credit, rural insurance and both policies combined, against establishments that received neither one. The analysis considered sugarcane, grain and grape crops separately and employed farmer's microdata. Moreover, the analysis was stratified into two categories: establishments owned by family farmers and those that did not.

Rural credit policy is related to higher productivity and larger cultivated area for grains and only to larger area for grape crops in the last analyzed period (2016/17). Rural insurance, as a unique policy or combined with credit, is related to higher productivity and cultivated areas, for all analyzed crops, only in the second period (2016/17), as the policy became more accessible to farmers. Heterogeneity regarding crops and farmers might influence the effectiveness of these policies. Despite rural insurance being related to a better performance regarding the outcome variables, it still reaches a small share of farmers, especially when combined with credit.

Many studies about the effectiveness of rural credit in Brazil have been conducted throughout the years, while there have been fewer studies regarding rural insurance since it became an important policy in the mid-2000s. However, few studies have conducted an analysis comparing its individual and interactive influences, with such level of disaggregation, on a farm-level database, considering the heterogeneity of the data and the different categories of farmers.

Due to the high levels of crime in Rio de Janeiro, the purpose of this paper is twofold. The first one is to analyze the effects of deterrence variables (such as the adoption of Pacifying Police Units (UPPs) and incarcerations) on violence in the municipalities of the State of Rio de Janeiro, as well as to verify the existence of “revenge effect.” The second is to analyze the effects of socio-economic development on violence, using development indicators.

Besides usual OLS method for panel data analysis, the study makes use of dynamic panel data framework through D-GMM and S-GMM. The estimates are based on a sample of 82 municipalities of Rio de Janeiro, and the period runs from 2003 to 2013. As dependent variables, the estimates use violent deaths (i.e. aggregation of intentional homicides and armed robberies followed by death) and homicides resulting from opposition to police intervention (i.e. civilians killed as a result of police actions against criminals – “opposition deaths”).

The estimates indicate that incarceration presents marginal capacity to reduce violence. Regarding the findings for the adoption of UPPs, the evidence suggests that this project increased violence and, therefore, the possibility of displacement of violence to other regions of the State. With respect to the effect of police deaths over violence, the results are unprecedented and suggest the existence of a “revenge effect.” Besides, the study points to the importance of socio-economic development to reduce violence.

Once the study analyzes the effects of incarceration and UPPs, it contributes to the literature by providing new evidence on the ability of anti-crime policies of reducing (or not) violence. In addition, when considering the death of policemen in the estimates, the study shows an unprecedented way, the effect that these deaths cause over violence (the so-called “revenge effect”). Moreover, the study considers the impacts of the development of employment and income, health and education on violence. When analyzing these development indicators, the study contributes with the literature that looks for non-police alternatives to control crime.

This paper aims to analyse the technological, economic and environmental impacts of disruptive innovations in the transportation mobility market.

The paper gathered data from World Bank and 13 open sources in an exploratory, descriptive and applied investigation on potentially disruptive transport innovations outcomes in G7 and BRICS (Brazil, Russian Federation, India, China and South Africa) economies, businesses and societies.

The results suggest positive implications for technological leapfrogging of electric vehicles (EV), autonomous vehicles (AVs) and electric vertical take-off and landing (eVTOLs), such as gains in energy consumption, infrastructure improvement, greenhouse gas emissions reduction, economic growth and the opportunity for new disruptive technologies to improve or even revolutionize the transportation ecosystem.

This study has clear limitations as it compares G7 and BRICS hypothetical scenarios where internal combustion vehicles were replaced by new technologies, ceteris paribus. Even so, as theoretical implications, the study presents market scenarios for EVs, AVs and eVTOLs technologies, bringing benefits to the disruptive innovation theory by expanding the understanding of the subject and also opening avenues of investigation by exploring new technological, economic and environmental possibilities.

This study emphasises potentially disruptive technologies’ technological, economic and sustainable benefits to countries through technological leapfrogging. The organizations can delve into results to investigate forthcoming markets and seek advantageous positions. Economic and social gains from leapfrogging could motivate government bodies to finance research focusing on EVs, AVs and eVTOLs diffusion.

The paper’s originality resides in aggregating multiple data sources to compare technological leapfrogging in G7 and BRICS transportation. The different views allowed for exploring the potential outcomes of EVs, AVs and eVTOLs on economic, sustainability and market dimensions in developed and developing countries.

The state of Mato Grosso represents the largest producer and exporter of soybeans in Brazil; given this importance, it was aimed to propose to use the univariate imputation tool for time series, through applications of splines interpolations, in 46 of its municipalities that had missing data in the variables soybean production in thousand tons, production value and soy derivatives in R$ thousand, and also to assess the differences between the observed series and those with imputed values, in each of these municipalities, in these variables.

The proposed methodology was based on the use of the univariate imputation method through the application of cubic spline interpolation in each of the 46 municipalities, for each of the 3 variables. Then, for each municipality, the original series were compared with each observed series plus the values imputed in these variables by the Quenouille test of correlation of time series.

It was observed that, after imputation, all series were compared with those observed and are equal by the Queinouille test in the 46 municipalities analyzed, and the Wilcoxon test also showed equality for the accumulated total of the three variables involved with the production of soybeans. And there were increases of 5.92%, 3.58% and 2.84% for soy production, soy production value and soy derivatives value accumulated in the state after imputation in the 46 municipalities.

The present research and its results facilitate the process of estimates and monitoring the total soy production in the state of Mato Grosso and its municipalities from 1990 to 2018.

This study aims to examine the role of edible mushrooms in the Brazilian diet, considering their strategic significance in meeting nutritional goals within sustainable development. Despite their potential in the nutrition of the Brazilian population, significant knowledge gaps still exist. To address this, the authors formulated this study into five main sections: the consumption of edible mushrooms in Brazil, the factors influencing the consumption, the occurrence of edible mushrooms in Brazil, the nutritional contribution of mushrooms consumed in Brazil and sustainable mushroom production in Brazil.

The authors compiled current literature to develop this viewpoint paper using systematic review, systematic search and narrative review search methods.

Mushrooms are sporadically consumed in Brazil, primarily by the urban population, with challenges in estimating the most used species. Social, economic and cultural factors, health considerations and reduced meat consumption influence mushroom consumption behavior. While Pleurotus ostreatus, Lentinula edodes and Agaricus bisporus are primary species, ethnomycological studies highlight a more diverse consumption among traditional indigenous communities. Brazil hosts approximately 133 wild mushroom species safe for human consumption. Some can be sustainably cultivated using substrates derived from agricultural and urban waste, offering high-protein, high-fiber, low-fat foods with bioactive compounds holding antioxidant and prebiotic potential.

To the best of the authors’ knowledge, no previous study has investigated how edible mushrooms contribute to the food and nutrition of the Brazilian population. This study emphasizes the crucial role of edible mushrooms in preserving Brazil’s cultural heritage, contributing to food and nutritional security and enhancing the overall diet quality.

The purpose of this paper is to analyze how, in three different contexts, the National Council for Advertising Self-Regulation narratively uses its past to build an official history concerning its origins that legitimates advertising self-control as a hegemonic narrative.

By using the historical research and the “uses of the past” approach, this study identifies, analyzes and confronts three organizational histories of Conar’s origins (both its official and unofficial versions) in the context of the creation of the Brazilian system of advertising self-regulation.

After a thematic analysis of the documentary sources, the narratives on the National Council for Advertising Self-Regulation’s origins and the self-control process were grouped into three versions: the narrative under the military regime: 1976/1980; the narrative during the process of re-democratization of the country: 1981/1991 and the contemporary narrative: from 2005 onwards. These narratives were confronted and, in consequence, provided, each of them, a different interpretation of the context surrounding the creation and justification for advertising self-control.

The study shows how a consumer defense organization re-historicized its past strategically to gain legitimacy in three different ways through time. It also reveals that organizations strategically use their past to build an intended vision of the future, thus having more agency than the hegemonic literature in management studies usually guarantees. Finally, it exposes the malleability of past narratives through which organizations play a critical role in the ongoing struggle for competing uses of the past. Therefore, the study identifies different organizational stories through time that allow researchers to reflect on several strategic uses of the past by organizations.

Recently, social innovation (SI) has captured the imagination of a range of actors globally, including in the higher education (HE) sector. This study explores the conceptual domain of SI leadership in HE. Drawing on the insights of 22 experienced practitioners in Canada, it provides a concept map to help guide leadership practice and research.

The study adopted Group Concept Mapping (GCM), a mixed methods approach that provides a structured way to map the “conceptual domain” of a topic from the perspectives of those with close knowledge of it. Using online GCM software, one group of participants generated statements in response to a prompting question about SI leadership. Another group sorted statements into conceptual groups, rating them for importance. The authors then produced a preliminary map using cluster analysis. A third group interpreted that map. The authors analyzed interpretation data to produce a final concept map, which is discussed in light of relevant literature.

GCM methodology resulted in 108 statements about SI leadership, with the vast majority ranked as highly important. The analysis produced a map consisting of nine “clusters” of conceptually related ideas about SI leadership, encapsulated under three interacting areas of focus: individual, relational, institutional/system. Participants confirmed the map reflected key dimensions of practice, noting it indicated important tensions and paradoxes core to their practice. Their interpretations highlighted how the map represented iterative dynamics of leadership over time and across levels; and how different theoretical and practice traditions in SI communities affect conceptualizations of leadership.

The study suggests that an area ripe for study is the navigation of micro-level systems in pursuit of meso-level and macro-level systems change. The map provides an empirically derived set of dimensions for instrument development in future SI leadership studies. The context of conventional academic institutions bounds the results but helps to surface key considerations for researching SI processes in other mature institutions. Comparison of findings with extant leadership theories suggests that, to advance theoretical research on the topic of leadership in SI, bricolage or new theory development will be needed.

The map paints broad themes with concrete, practice-level ideas. It can serve as a touchstone for reflection by experienced practitioners and offers a reference point to orient those new to leading SI.

The scholarly knowledge base about SI has been growing rapidly, but it is still an emerging field of study. There are only a handful of published studies offering perspectives on SI in HE, and none with respect to SI leadership in HE. This study offers original conceptual insights grounded in empirical data gathered through a method aligned with its exploratory purpose.