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The study aimed to present how the Slow Fashion strategy was able to favor the growth of Brazilian fashion companies. To this end, the themes of sustainability, sustainable development and fast fashion and slow fashion systems were conceptualized and related through bibliographic and descriptive research. The questionnaire technique was used with 4 employers. It was concluded that in the branch of the fashion industry there are different strategic variables for business growth, including the sustainability factor. It was possible to observe the growth of second-hand consumption in the state of Rio de Janeiro in recent years and, in particular, in the pandemic, which inevitably generated conscious consumption. [ABSTRACT FROM AUTHOR]

Background: Accurate estimation of the effective reproductive number ( R e ) of epidemic outbreaks is of central relevance to public health policy and decision making. We present estimateR, an R package for the estimation of the reproductive number through time from delayed observations of infection events. Such delayed observations include confirmed cases, hospitalizations or deaths. The package implements the methodology of Huisman et al. but modularizes the R e estimation procedure to allow easy implementation of new alternatives to the currently available methods. Users can tailor their analyses according to their particular use case by choosing among implemented options. Results: The estimateR R package allows users to estimate the effective reproductive number of an epidemic outbreak based on observed cases, hospitalization, death or any other type of event documenting past infections, in a fast and timely fashion. We validated the implementation with a simulation study: estimateR yielded estimates comparable to alternative publicly available methods while being around two orders of magnitude faster. We then applied estimateR to empirical case-confirmation incidence data for COVID-19 in nine countries and for dengue fever in Brazil; in parallel, estimateR is already being applied (i) to SARS-CoV-2 measurements in wastewater data and (ii) to study influenza transmission based on wastewater and clinical data in other studies. In summary, this R package provides a fast and flexible implementation to estimate the effective reproductive number for various diseases and datasets. Conclusions: The estimateR R package is a modular and extendable tool designed for outbreak surveillance and retrospective outbreak investigation. It extends the method developed for COVID-19 by Huisman et al. and makes it available for a variety of pathogens, outbreak scenarios, and observation types. Estimates obtained with estimateR can be interpreted directly or used to inform more complex epidemic models (e.g. for forecasting) on the value of R e . [ABSTRACT FROM AUTHOR]

Copyright of H-Industria: Revista de Historia de la Industria Argentina y Latinoamericana is the property of H-Industria, Revista de Historia de la Industria Argentina y Latinoamericana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of REUNIR: Revista de Administração, Contabilidade e Sustentabilidade is the property of REUNIR - Revista de Administracao, Contabilidade e Sustentabilidade and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The phasing out of the Multi-Fibre Agreement in 2005 triggered a global reorganization and relocation of the textile and garment industry. There is a rich literature on how global buyers with headquarters located in developed countries have played a dominant role in this reorganization process. The literature is less clear on how local firms have reacted or which new industrial structures are emerging in middle-income countries in response to these developments. This article examines how the textile and garment industry in Brazil is adapting to this new competitive environment. We show how large and small producers have transformed their relationships and created dynamic exchanges of roles in response to international competition, and how these new dynamic relationships are influencing the fast creation and fast destruction of value in fashion. [ABSTRACT FROM AUTHOR]

Controversy exists regarding the scale of the impacts caused by fast fashion. This article aims to provide a robust basis for discussion about the geography, the scale and the temporal trends in the impacts of fast fashion because the globalisation of the fashion industry means original, peer-reviewed, quantitative assessments of the total impacts are relatively rare and difficult to compare. This article presents the first application of Eora, a multiregional environmentally extended input output model, to the assessment of the impacts of clothing and footwear value chain. We focus on the key environmental indicators of energy consumption, climate and water resources impacts, and social indicators of wages and employment. The results of the analysis indicate that the climate impact of clothing and footwear consumption rose from 1.0 to 1.3 Gt carbon dioxide equivalent over the 15 years to 2015. China, India, the USA and Brazil dominate these figures. The trends identified in this and the other indicators represent small increases over the study period compared to the 75% increase in textile production, meaning that the impacts per garment have improved considerably. On the other hand, the climate and water use impacts are larger as a proportion of global figures than the benefits provided via employment and wages. Our analysis of energy consumption suggests most of the per-garment improvement in emissions is the result of increased fashion-industrial efficiency, with a lesser role being played by falling carbon intensity among energy suppliers. While both the social benefits and environmental impacts per mass of garment appear to have decreased in recent times, much greater improvements in the absolute carbon footprint of the fashion industry are attainable by eliminating fossil-fueled electricity supplies, and by eliminating fast fashion as a business model. [Display omitted] • We present the first independent assessment of the global fashion industry using the Eora MRIO model. • While fashion's output doubled this century, its carbon emissions rose only 30% by 2015, indicating improved ecoefficiency. • Energy, carbon and water impacts represent 2% of global totals, but the wages paid out are only 1.4% of global wages. [ABSTRACT FROM AUTHOR]