Fernando Garcia
Fundação Getúlio Vargas
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Economics Research International | 2012
Jorge Oliveira Pires; Fernando Garcia
This paper tackles the problem of aggregate TFP measurement using stochastic frontier analysis (SFA). Data from Penn World Table 6.1 are used to estimate a world production frontier for a sample of 75 countries over a long period (1950-2000) taking advantage of the model offered by Battese & Coelli (1992). We also apply the decomposition of TFP suggested by Bauer (1990) and Kumbhakar (2000) to a smaller sample of 36 countries over the period 1970-2000 in order to evaluate the effects of changes in efficiency (technical and allocative), scale effects and technical change. This allows us to analyze the role of productivity and its components in economic growth of developed and developing nations in addition to the importance of factor accumulation. Although not much explored in the study of economic growth, frontier techniques seem to be of particular interest for that purpose since the separation of efficiency effects and technical change has a direct interpretation in terms of the catch-up debate. The estimated technical efficiency scores reveal the efficiency of nations in the production of non tradable goods since the GDP series used is PPP-adjusted. We also provide a second set of efficiency scores corrected in order to reveal efficiency in the production of tradable goods and rank them. When compared to the rankings of productivity indexes offered by non-frontier studies of Hall & Jones (1996) and Islam (1995) our ranking shows a somewhat more intuitive order of countries. Rankings of the technical change and scale effects components of TFP change are also very intuitive. We also show that productivity is responsible for virtually all the differences of performance between developed and developing countries in terms of rates of growth of income per worker. More important, we find that changes in allocative efficiency play an important role in explaining differences in the productivity of developed and developing nations, even larger than the one played by the technology gap.
RAE eletrônica | 2002
Claude Machline; Fernando Garcia; José Bento Amaral; Wilson Nobre
O objetivo deste trabalho e analisar a cadeia produtiva do aluminio no Brasil.Definiu-se cadeia produtiva como o conjunto estruturado de operacoes necessarias para transformar materias-primas em uma familia de produtos acabados. O estudo de uma cadeia desse tipo destina-se a aumentar a competitividade dos seus elementos constitutivos, focando seus problemas e criando solucoes para a melhoria dos resultados empresariais. O artigo e fruto de uma pesquisa realizada em 2000 a pedido da Associacao Brasileira de Aluminio ABAL. A metodologia utilizada consistiu em definir as etapas basicas do processo produtivo; visitar usinas e fabricas; entrevistar executivos e tecnicos; e analisar o consideravel acervo de dados macro e micro-economicos obtidos. Alguns principios de dinâmica de cadeia produtiva sao enunciados. A industria de aluminio nacional apresenta hoje problemas agudos, resultantes da desvalorizacao da moeda, do custo e da escassez de energia eletrica, de impostos em cascata e da falta de economia de escala, configurando um espectro de ameacas a sua sobrevivencia.
Textos para discussão | 2001
Andrea Camara Bandeira; Fernando Garcia; Marcos Fernandes Gonçalves da Silva
Economics Letters | 2008
Fernando Garcia; Rogério César de Souza; Jorge Oliveira Pires
Econometric Society 2004 Latin American Meetings | 2004
Fernando Garcia; Jorge Oliveira Pires
Revista de la CEPAL | 2002
Andrea Camara Bandeira; Fernando Garcia
Revista CEPAL | 2002
Andrea C. Bandeira; Fernando Garcia
Textos para discussão | 2004
Jorge Oliveira Pires; Fernando Garcia
Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] | 2004
Rogério César de Souza; Fernando Garcia; Jorge Oliveira Pires
Conjuntura da Construção | 2014
Fernando Garcia; Ana Maria Castelo