La economía cubana desde el siglo XVI al XX: del colonialismo al socialismo con mercado

Incluye Bibliografía

The restructuring of the Brazilian industrial groups between 1980 and 1993

Includes bibliography

Keynesian economic policies: reflections on the Brazilian economy, 1995-2009

Includes bibliography

Patterns of technical progress in the Brazilian economy, 1952-2008

This article analyses the pattern of technical change in the Brazilian economy between 1952 and 2008. A Marx-biased pattern of labour-saving and capital-using change predominated in the period under study. Three phases in the dynamism of technical change can be distinguished, however. The first, from 1952 to 1973, was highly dynamic. In the second, from 1973 to 1991, this dynamism lessened. Lastly, between 1991 and 2008, the dynamism of technical change recovered slightly. The wage share held fairly steady throughout the period. The rate of profit dropped between 1952 and 1991 before rising slightly from 1991 to 2008. The net capital accumulation rate contracted after 1975 because of the decline in the rates of profit and investment. Between 2004 and 2008, the net capital accumulation rate increased.

Exports from the Brazilian automotive sector to the Southern Common Market: Trade diversion or cost reduction?

The automotive sector is one of the sectors in which trade between mercosur countries has grown most strongly. This article examines the possibility that trade diversion occurred in that sector during the period 1991-2010, assuming that product costs fell as a result of market expansion. The analysis is based on the concepts of “cost reduction” and “trade suppression” coined by Corden (1972), which capture the effects of economies of scale. Indices of regional orientation and revealed comparative advantages are used in combination to assess whether the trade bloc is evolving in line with comparative advantages. The results suggest efficiency gains for automotive-sector products, exports of which from Brazil to mercosur grew more vigorously because the expanded and relatively protected market made it possible to exploit the economies of scale that are characteristic of the automotive industry.

A comparative analysis of productivity in Brazilian and Mexican manufacturing industries

This article analyses productivity trends in Brazilian and Mexican manufacturing industries between 1995 and 2009, a period in which international competition intensified sharply. A total of 14 manufacturing industries are considered, using two methods based on: (i) the Leontief (1951) model to measure the consumption of intermediate goods used in production; and (ii) the analysis of total factor productivity (TFP). The studies performed show that manufacturing trends have diverged in the two countries. In Mexico, an increased need for imported goods and services was offset by a reduction in domestic goods and service requirements, and an increase in the TFP of production. In the case of Brazil, the fact that manufactured goods markets are more isolated from foreign trade seems to have contributed to a weak productivity performance.

Industrial location and sectoral linkages: the case of the Brazilian automotive industry

The aim of this article is to analyse the spatial distribution of the automotive industry in Brazil in terms of its various economic categories between 1995 and 2011, and to shed light on its sectoral linkages through inter-regional input-output matrices. By calculating the coefficient of localization (QLij) for that period, it was found that the third wave of investments, which began in the second half of the 1990s, actually caused a slight spatial deconcentration of this sector in the national economy. The coefficient of geographic association (CAik)calculated for different years revealed a slight reduction, while maintaining a high level of concentration, which suggests that vehicle production is closely integrated with other economic activities. This integration was corroborated particularly in terms of input purchases (backward linkages) in all of the analysed regions.