Modelos de cálculo para a produtividade total dos fatores

Naijela Janaina Costa Silveira; Diogo Ferraz; Diego Scarpa de Mello; Eduardo Polloni-Silva; Herick Fernando Moralles; Daisy Aparecida do Nascimento Rebelatto

doi:10.5585/exactaep.2021.18140

Authors

Naijela Janaina Costa Silveira Federal University of São Carlos / São Carlos, SP https://orcid.org/0000-0003-1398-2384
Diogo Ferraz Federal University of Ouro Preto (UFOP) / Ouro Preto, MG https://orcid.org/0000-0003-4037-7171
Diego Scarpa de Mello Federal University of São Carlos / São Carlos, SP
Eduardo Polloni-Silva Federal University of São Carlos / São Carlos, SP https://orcid.org/0000-0001-5141-2433
Herick Fernando Moralles Federal University of São Carlos / São Carlos, SP https://orcid.org/0000-0002-5521-9443
Daisy Aparecida do Nascimento Rebelatto University of Sao Paulo / São Paulo, SP https://orcid.org/0000-0003-0611-1492

DOI:

https://doi.org/10.5585/exactaep.2021.18140

Keywords:

productivity, efficiency, countries

Abstract

Productivity measures the level of efficiency a particular economy presents in producing goods and services. Thus, increasing productivity is the fastest route to achieve economic growth and social well-being. This article aims to estimate and compare four Total Factor Productivity (TFP) measurement models. The models chosen were: Olley & Pakes - OP (1996); Levinsohn & Petrin – LP (2003); Wooldridge - Wool (2009); and Ackerberg, Caves & Frazer - ACF (2015). Per capita energy consumption was employed as the intermediate input. The results suggest that the ACF (2015) model is an improvement form the OP and LP models, while presenting statistically significant results. The Wool (2009) model is also an improvement and, once more, presented similar results. Considering the ACF model presents high dispersion, the Wool model is the preferred TFP measurement model.

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Author Biographies

Naijela Janaina Costa Silveira, Federal University of São Carlos / São Carlos, SP

Doutora em Engenharia de Produção pela Universidade Federal de São Carlos - UFSCar. Atuou na linha de pesquisa de Gestão de Tecnologia e Inovação por meio de ferramentas econométricas e Análise Envoltória de Dados. Possui ênfase em análise de dados em painel e regressão por limiar. Possui Mestrado em Engenharia de Produção pela Universidade Federal de São Carlos e graduação em Engenharia de Produção Agroindustrial pela Universidade Estadual do Paraná (2013).

Diogo Ferraz, Federal University of Ouro Preto (UFOP) / Ouro Preto, MG

Doutor em Engenharia de Produção na Universidade de São Paulo (USP). Ph.D. candidate em Economia na Universität Hohenheim (Departamento de Economia - Economia da Inovação, Stuttgart/Alemanha). Economista e mestre em Engenharia de Produção, possui experiência em modelos econométricos e Data Envelopment Analysis (DEA). Utiliza base de dados como a PNAD/IBGE, RAIS/CAGED do Ministério do Trabalho e Emprego e dados do Banco Mundial, por meio de softwares como o Stata e o Matlab. A área de pesquisa relaciona questões sobre complexidade econômica, inovação, desenvolvimento humano e sustentabilidade. Em 2018, foi pesquisador visitante na Universität Hohenheim. Membro dos grupos de pesquisa: Análise de Desempenho de Sistemas Produtivos (USP) e Sustentabilidade e Desenvolvimento Humano (UNESP-Bauru).

Diego Scarpa de Mello, Federal University of São Carlos / São Carlos, SP

Possui graduação em Administração e MBA em Finanças. Atualmente é mestrando no Departamento de Engenharia de Produção da UFSCar com foco em transferência de tecnologia, foreign direct investment e risco dos mercados financeiros.

Eduardo Polloni-Silva, Federal University of São Carlos / São Carlos, SP

Doutorando em Engenharia de Produção pela Universidade Federal de São Carlos (UFSCar-São Carlos). Eduardo também possui Mestrado pela UFSCar e graduação pela Universidade Federal da Grande Dourados (UFGD). Sua pesquisa envolve métodos quantitativos e econometria, normalmente aplicados à problemas macroeconômicos. Investiga, em geral, os efeitos do Investimento Estrangeiro Direto (IED) no Brasil em diferentes perspectivas (e.g. produtividade, desenvolvimento humano e sustentabilidade). Possui experiência internacional e em gestão.

Herick Fernando Moralles, Federal University of São Carlos / São Carlos, SP

Bachelor in Economicas from Universidade Estadual Paulista Júlio de Mesquita Filho (2007) and máster and Ph.D. in Production Engineering from Universidade de São Paulo (2010). Visiting scholar at University of Barcelona (2018). Professor Moralles has experience in Econometric and Statistical Methods and Models, acting on the following subjects of investigation: FDI, Human development, productivity, R&D policy.

Daisy Aparecida do Nascimento Rebelatto, University of Sao Paulo / São Paulo, SP

Possui graduação em Engenharia Civil pela Universidade Federal de São Carlos (1984), mestrado em Engenharia Civil pela Universidade de São Paulo (1992) e doutorado em Engenharia Mecânica pela Universidade de São Paulo (1999). Atualmente é professor associado da Universidade de São Paulo. Tem experiência na área de Engenharia de Produção, com ênfase em Engenharia Econômica, atuando principalmente nos seguintes temas: energia, infraestrutura produtiva, análise de eficiência, análise por envoltória de dados e políticas públicas.

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