Economia da informação, custos de transação e produtividade: um ensaio sobre os retornos das tecnologias de informação

O senso comum de que o investimento em tecnologia deve aumentar a produtividade do trabalho foi questionado por muitos estudos nos últimos anos, que não encontraram correlação positiva entre tais aplicações e as receitas das empresas. Mas foi também apoiado por outros autores que obtiveram provas empíricas de que os retornos desses investimentos deveriam ser medidos por outros indicadores, à parte de dados econômicos setoriais agregados. Procuramos analisar essa dicotomia à luz da Economia da Informação, levantando a hipótese de que as inovações bem planejadas em processos de negócio e na estrutura organizacional, apoiadas pela tecnologia de informação, agregam valor e aumentam a produtividade e eficiência da empresa. Para isso, buscamos centralizar a análise nos custos de transação dos processos de negócio, identificando-os como o núcleo central de qualquer indicador de produtividade com que se possa medir com alguma precisão o impacto de novos insumos ou recursos aplicados aos processos em questão.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

Brazilian Federal Universities : relative efficiency evaluation and data envelopment analysis

The papers aims at considering the issue of relative efficiency measurement in the context of the public sector. In particular, we consider the efficiency measurement approach provided by Data Envelopment Analysis (DEA). The application considered the main Brazilian federal universities for the year of 1994. Given the large number of inputs and outputs, this paper advances the idea of using factor analysis to explore common dimensions in the data set. Such procedure made possible a meaningful application of DEA, which finally provided a set of efficiency scores for the universities considered .