Trade liberalization and industrial concentration: evidence from Brazil

This paper applies an endogenous lobby formation model to explain the extent of trade protection granted to Brazilian manufacturing industries during the 1988- 1994 trade liberalization episode. Using a panel data set covering this period, we find that even in an environment in which a major regime shift has been introduced, more concentrated sectors have been able to obtain policy advantages, that lead to a reduction in international competition. The importance of industry structure appears to be substantial: In our baseline specification, an increase in concentration by 20% leads to an increase in protection by 5%-7%.

Tecnologia e competitividade no Brasil - exploração integrada visando reconhecer os efeitos da introdução de novas tecnologias sobre a competitividade das empresas no contexto brasileiro

Esta pesquisa investiga as relações, nem sempre claras e explícitas, entre competitividade e inovação tecnológica, iniciando pelo referencial teórico. São estudados quatro casos de empresas, sendo três delas brasileiras e uma multinacional, dos setores de indústria e serviços. Dentre as conclusões, destaca-se a constatação de que a competitividade resulta da combinação de três dimensões: tecnologia, gestão (isto é, estratégia de negócio) e pessoas. Também se identificou uma íntima ligação entre inovação tecnológica e ganhos de market share. O estudo demonstra ainda que ganhos de competitividade com base tecnológica, ainda que significativos, são efêmeros, ou seja: a manutenção da vantagem competitiva é um processo dinâmico que exige permanentes esforços de inovação, inclusive com monitoramento constante do mercado e da concorrência. Outro aspecto investigado é o risco inerente à inovação, uma vez que o pioneirismo nem sempre encontra, de imediato, as soluções que se firmam como padrão no mercado. Finalmente, discorre-se também sobre o processo de decisão quanto a investimentos em tecnologia, apresentando modelos não quantitativos como auxiliares na análise e priorização de projetos inovadores.

Capacidade de inovação organizacional: uma análise aplicada à indústria de transformação paulista

Esta pesquisa teve como objetivo principal explorar a influência da folga organizacional na capacidade de inovação em empresas de manufatura do Estado de São Paulo, em diversos segmentos da indústria de transformação. Fez parte deste objetivo testar, em um contexto de cadeia de valor, um modelo do papel da cooperação como driver da capacidade de inovar da empresa, e por fim, verificar a influência da capacidade de inovar no desempenho na empresa. Esta pesquisa fez uso de duas abordagens: uma quantitativa e outra qualitativa de maneira complementar. A pesquisa quantitativa foi realizada com a utilização da pesquisa de Sondagem das Necessidades de Inovação na Indústria Paulista (SNIIP) elaborada pela Federação das Indústrias do Estado de São Paulo (FIESP). Compõe esta base 229 empresas do segmento de indústria de transformação paulista, de 24 setores industriais diferentes. Como ferramental metodológico para a abordagem quantitativa, utilizou-se a técnica estatística de regressão múltipla. Para a abordagem qualitativa, utilizou-se uma amostra de 9 empresas de porte médio e grande de diferentes setores da indústria de transformação paulista. Na pesquisa qualitativa fez-se uso do método de estudo de caso para complementar e aprofundar as análises do estudo quantitativo. Entre os principais resultados desta pesquisa observou-se que a influência da folga organizacional na capacidade de inovação da firma, é positiva. A cooperação, por sua vez, aparece como um agente representativo e que influencia positivamente a capacidade de inovar das firmas analisadas. A capacidade de uma firma inovar, por sua vez, influencia positivamente seu desempenho.

Knowledge effect on firm performance in manufacturing and service firms

This thesis seeks to examine the difference between manufacturing and service firms with respect to the effects of knowledge on performance, and the influence of market turbulence in this relationship. Empirical data, resulting from a survey, was collected from more than 1,206 firms, involving several sectors. Two samples were analyzed, one with 334 manufacturing and other with 509 service firms. The findings indicate no significant difference in the importance of knowledge on performance between these sectors in the absence of market turbulence: knowledge development (KD) has a stronger effect than culture of competitiveness (CC) on firm performance. However, under market turbulence, manufacturers differ from service providers. The positive effect of KD is enhanced, while the positive effect of CC remains the same for manufacturing firms. On the other hand, the positive effect of KD is diminished, while the positive effect of CC is enhanced for service firms. This supports the argument concerning differences in the nature of manufacturing and service industries. From a managerial point of view, results confirm the importance of knowledge, irrespective of firm sector or market turbulence. However, while industrial firms should center efforts on KD, service firms must find a balance where knowledge development (e.g. norms, processes, routines) does not impair their culture of competitiveness (e.g. learning, innovation, action). The thesis contributes to existing literature by proposing that: (1) the positive effect of knowledge on performance is confirmed; (2) under turbulent markets manufacturing and service firms have different responses concerning the influence of knowledge on performance; (3) a multidimensional performance construct based on cost, profitability, and growth is an interesting way to evaluate firm sustained competitive advantage, rather than one-dimensional constructs; (4) the CC x KD interaction, found relevant for supply chains in previous studies, is not supported for firms; (5) differences in unit of analysis, e.g. from supply chains to firms, result in different effects of KD and CC on firm performance; (6) existing scales can be improved with the addition of more diverse indicators, capturing a wider range of concepts (e.g. information transfer measurement); and (7) results from previous studies are supported for Brazilian firms, contributing for theory generalization.

A restatement of the welafare costs of inflation. The wast of scarce resources in the manufacturing , banking and household sectors

Lucas (2000) estimates that the US welfare costs of inflation are around 1% of GDP. This measurement is consistent with a speci…c distorting channel in terms of the Bailey triangle under the demand for monetary base schedule (outside money): the displacement of resources from the production of consumption goods to the household transaction time à la Baumol. Here, we consider also several new types of distortions in the manufacturing and banking industries. Our new evidences show that both banks and firms demand special occupational employments to avoid the inflation tax. We de…ne the concept of ”the foat labor”: The occupational employments that are aflected by the in‡ation rates. More administrative workers are hired relatively to the bluecollar workers for producing consumption goods. This new phenomenon makes the manufacturing industry more roundabout. To take into account this new stylized fact and others, we redo at same time both ”The model 5: A Banking Sector -2” formulated by Lucas (1993) and ”The Competitive Banking System” proposed by Yoshino (1993). This modelling allows us to characterize better the new types of misallocations. We …nd that the maximum value of the resources wasted by the US economy happened in the years 1980-81, after the 2nd oil shock. In these years, we estimate the excess resources that are allocated for every speci…c distorting channel: i) The US commercial banks spent additional resources of around 2% of GDP; ii) For the purpose of the firm foating time were used between 2.4% and 4.1% of GDP); and iii) For the household transaction time were allocated between 3.1% and 4.5 % of GDP. The Bailey triangle under the demand for the monetary base schedule represented around 1% of GDP, which is consistent with Lucas (2000). We estimate that the US total welfare costs of in‡ation were around 10% of GDP in terms of the consumption goods foregone. The big di¤erence between our results and Lucas (2000) are mainly due to the Harberger triangle in the market for loans (inside money) which makes part of the household transaction time, of the …rm ‡oat labor and of the distortion in the banking industry. This triangle arises due to the widening interest rates spread in the presence of a distorting inflation tax and under a fractionally reserve system. The Harberger triangle can represent 80% of the total welfare costs of inflation while the remaining percentage is split almost equally between the Bailey triangle and the resources used for the bank services. Finally, we formulate several theorems in terms of the optimal nonneutral monetary policy so as to compare with the classical monetary theory.