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Record W3014661058

Efeito do sistema nacional de negócios sobre a evidenciação social e ambiental: uma comparação entre Brasil e Canadá

2020· article· pt· W3014661058 on OpenAlexaboutno aff
Rômulo Alves Soares, Mônica Cavalcanti Sá de Abreu, Pedro de Barros Leal Pinheiro Marino, Sílvia Maria Dias Pedro Rebouças

Bibliographic record

VenueRbgn-revista Brasileira De Gestao De Negocios · 2020
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

portuguesObjetivo – Avaliar a influencia do sistema nacional de negocios sobre a extensao da evidenciacao social e ambiental de empresas em paises institucionalmente distantes. Metodologia – Sao analisadas empresas dos setores de materiais basicos, de operacoes de petroleo e gas e de utilidade publica com acoes negociadas nas bolsas de valores do Brasil (BM&FBovespa) e do Canada (Toronto Stock Exchange) no periodo de 2007 e 2015. Foram adotados metodos quantitativos de analise, por meio de estatistica descritiva e analise de dados em painel. A modelagem econometrica considerou como variaveis dependentes a evidenciacao ambiental e social, variaveis independentes que representam os sistemas politico, financeiro, de educacao e trabalho, e como variaveis de controle o tamanho da empresa, ROA e endividamento. Resultados – No caso das empresas que operam no Brasil, a extensao da evidenciacao ambiental e social relaciona-se positivamente com os sistemas politico e de trabalho, e negativamente com o sistema financeiro. No Canada, a evidenciacao e influenciada negativamente pelo sistema financeiro e pelo sistema educacao. As variaveis de controle, que representam caracteristicas do desempenho financeiro, nao se apresentaram significantes. Contribuicoes – O estudo mostra que forcas isomorficas operam no campo institucional e afetam a adocao de um comportamento socialmente responsavel. Situando o estudo em paises institucionalmente distantes, como Brasil e Canada, o estudo reforca a influencia do sistema nacional de negocios sobre a extensao da evidenciacao de praticas ambientais e sociais. EnglishPurpose – This paper evaluates the influence of the institutional environment on the extent of social and environmental disclosure of companies from institutionally distant countries. Design/methodology/approach – We analyze basic materials, oil and gas, and public utility companies with shares traded on the Brazilian stock exchange (BM&FBovespa) and Canadian stock exchange (Toronto Stock Exchange) from 2007 to 2015. Quantitative methods are adopted through descriptive statistics and panel data analysis. The econometric modeling considers environmental and social disclosure as dependent variables, independent variables that represent the political, financial, educational and labor systems, and firm size, ROA, and indebtedness as control variables. Findings – In the case of the companies operating in Brazil, the extent of environmental and social disclosure is positively related to the political and labor systems, and negatively related to the financial system. In Canada, disclosure is negatively influenced by the financial system and the education system. The control variables, which represent characteristics of financial performance, were not significant. Originality/value – The study shows that isomorphic forces operate in the institutional field and affect the adoption of socially responsible behavior. By basing the study on institutionally distinct countries, such as Brazil and Canada, it reinforces the influence of the national business system on the extent of disclosure of environmental and social practices.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0030.003
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.259
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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