Competitividade da indústria brasileira no período recente de acordo com a taxonomia de Pavitt

Hermida, Camila do Carmo; Xavier, Clésio Lourenço

doi:10.20396/rbi.v11i2.8649048

“…We used a log-log regression to interpret the parameters as elasticities (Greene 2011). We also applied the following tests: the Hausman test to define Fixed Effects (FE) or Random Effects (RE) models (Hausman 1978;Holland and Xavier 2005); the Breusch-Pagan to check heteroskedasticity in our regression model (Greene 2011); and the Variance Inflation Factor (VIF), which must be less than 10, so that there is no multicollinearity (Stine 1995).…”

Section: Appendix I: Econometric Validationmentioning

confidence: 99%

Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods From Data Envelopment Analysis

Ferraz

¹

,

Mariano

²

,

Rebelatto

³

et al. 2019

SSRN Journal

1

0

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Several indicators on human development and capabilities have been introduced in recent decades that measure the absolute level of deprivations and freedoms of people. However, these indicators typically do not consider to what extent regions and countries efficiently spend their limited financial resources on improving human development. This is an important shortcoming because regions typically face different financial constraints in developing social policies and promoting human development. In this article, we advance methods from data envelopment analysis (DEA) to measure absolute capability values and the social efficiency of 129 Brazilian mesoregions. We present a new indicator called the Capability Index Adjusted by Social Efficiency (CIASE) that evaluates the human development performance of regions based on their absolute levels of deprivations as well as their social efficiency in translating limited financial resources into human development. Moreover, we introduce a Deprivation and Financial Responsibility based Prioritization Index (DFRP) that helps to identify priority regions for higher public expenditures in human development. Our results for the case of Brazil show that several poor regions perform relatively better in terms of social efficiency than in terms of absolute human development. Conversely, several rich regions perform relatively worse in terms of social efficiency than in absolute values. Thus, our analysis shows how DEA methods can help to bridge perspectives that are often presented as separated issues but could be strong allies for development: attending to human deprivation and promoting social efficiency.

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“…Estas indústrias exigem profissionais altamente qualificados em ciência e engenharia. Exemplos de setores são: indústria química e eletrônica (Hermida & Xavier, 2012;Pavitt, 1984;Possas, 2009).…”

Section: Definição De Indústrias (Sic E Pavitt-miozzo-soete)unclassified

“…Aprendizagem interativa, soluções altamente específicas para os clientes e desenvolvimento de competências práticas são essenciais. Um exemplo é o setor de máquinas (Hermida & Xavier, 2012;Pavitt, 1984;Possas, 2009).…”

Section: Definição De Indústrias (Sic E Pavitt-miozzo-soete)unclassified

“…São segmentos mais propícios às inovações incrementais do que às inovações radicais. Exemplos são as empresas do setor do equipamento de transporte, a indústria siderúrgica, a indústria do petróleo e a indústria automobilística (Hermida & Xavier, 2012;Pavitt, 1984;Possas, 2009 (Hermida & Xavier, 2012;Pavitt, 1984;Possas, 2009).…”

Section: Definição De Indústrias (Sic E Pavitt-miozzo-soete)unclassified

“…Information intensive (II): são as empresas que se concentram em inovação de processos através da combinação de conhecimento interno com a aquisição de máquinas e equipamentos de alta tecnologia. Exemplos são os setores financeiros (Hermida & Xavier, 2012;Pavitt, 1984;Possas, 2009 (Miozzo & Soete, 2001).…”

Section: Definição De Indústrias (Sic E Pavitt-miozzo-soete)unclassified

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This research aimed to identify the effect of the interaction of an innovation strategy with strategic resources on the capital structure of companies. In this sense, three essential resources were observed: organizational capital, knowledge capital and intangible capital. In these terms, the study assumed that companies with an innovation strategy and resources of organizational capital, knowledge capital or intangible capital have less financial restrictions. In addition, it was specified that the key talents of the companies can dispute the residual cash flow with the shareholders and, in this sense, the shareholders may prefer that the projects be financed by debt that has more stringent governance mechanisms. Additionally, there are agency problems between the company's key talents and shareholders, making the latter more likely to prefer the company to use more debt to finance its projects. The sample covered American companies listed on the three main stock exchanges in that country (NYSE, NASDAQ and AMEXX), covering 3,628 firms, during the period from 2008 to 2018. The results of this study showed, with statistical significance, that one cannot reject the three hypotheses proposed in this work. That is, the traditionally negative relationship between financial leverage and innovation strategy is reversed in the presence of organizational capital, knowledge capital or intangible capital. Thus, it is concluded that an innovation strategy with any of these types of resources indicates an increase in the firm's financial leverage.

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Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis

Ferraz

¹

,

Mariano

²

,

Rebelatto

³

et al. 2020

View full text Add to dashboard Cite

Several indicators on human development and capabilities have been introduced in recent decades that measure the absolute level of deprivations and freedoms of people. However, these indicators typically do not consider to what extent regions and countries efficiently spend their limited financial resources on improving human development. This is an important shortcoming because regions typically face different financial constraints in developing social policies and promoting human development. In this article, we advance methods from data envelopment analysis (DEA) to measure absolute capability values and the social efficiency of 129 Brazilian mesoregions. We present a new indicator called the Capability Index Adjusted by Social Efficiency (CIASE) that evaluates the human development performance of regions based on their absolute levels of deprivations as well as their social efficiency in translating limited financial resources into human development. Moreover, we introduce a Deprivation and Financial Responsibility based Prioritization Index (DFRP) that helps to identify priority regions for higher public expenditures in human development. Our results for the case of Brazil show that several poor regions perform relatively better in terms of social efficiency than in terms of absolute human development. Conversely, several rich regions perform relatively worse in terms of social efficiency than in absolute values. Thus, our analysis shows how DEA methods can help to bridge perspectives that are often presented as separated issues but could be strong allies for development: attending to human deprivation and promoting social efficiency.

show abstract

Competitividade da indústria brasileira no período recente de acordo com a taxonomia de Pavitt

Cited by 4 publications

References 6 publications

Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods From Data Envelopment Analysis

Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods From Data Envelopment Analysis

O efeito da inovação e dos recursos estratégicos na estrutura de capital

Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis

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