SETORES CHAVE EM TERMOS DE PODER DE DIFUSÃO NO RIO GRANDE DO SUL: UMA DECOMPOSIÇÃO DE MIYAZAWA
UMA DECOMPOSIÇÃO DE MIYAZAWA
Keywords:
Information diffusion, networks, Qualitative input-output, Development Economics.
Abstract
The study of intersectoral relations allows to rank the sectors in terms of their capacity to disseminate information throughout the productive system. The objective of this article is to estimate the capacity of the sectors of the economy of Rio Grande do Sul to propagate technology and information through the intersectoral network. This would allow to direct resources for product and process research in key segments, serving as an important guide for policymakers. For this, the input-output matrix of Rio Grande do Sul for the year of 2019 is used as the secondary raw data base. The input-output technique is used together with the Miyazawa (1966, 1971) contributions to decompose the productive interrelations present in the inverse matrix of Leontief and to detect the most important activities of the economy. The ability of the sectors segmented at two different technological levels to disseminate information through the local productive system was examined. In this sense, dynamic sectors and propagators of technology would be those with the largest number of important coefficients. The results suggest that the low-tech segment presents a strong ability to the diffusion of ideas, knowledge and information in the local economy.
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References
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SCHERER, F.M. Interindustry technology flows and productivity growth.Review of Economics and Statistics, v. 64, n. 4, p. 627-34, 1982.
SCHUMPETER, J. Capitalism, Socialism and Democracy. London: Harper & Brothers, 1942.
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SEFAZ/RS. Secretaria da Fazenda do Rio Grande do Sul. Matriz de Insumo-Produto do Rio Grande do Sul de 2019.
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SONIS, M.; HEWINGS, G. J. Hierarchies of Regional Sub-Structures and their Multipliers within Input-Output Systems: Miyazawa Revisited. Hitotsubashi Journal of Economics, v. 34, n. 1, p. 33-44, 1993.
VON ARNIM, R.; RADA, C. Labour productivity and energy use in a three-sector model: an application to Egypt. Development and Change, v. 42, n. 6, p. 1323-48, 2011.
WOLFF, E.N. Spillovers, Linkages and Technical Change. Economic Systems Research, v. 9, n. 1, p. 9-23, 1997.
YAN, C.; AMES, E. Economic interrelatedness, Review of Economic Studies, v. 32, n. 4, p. 299-310, 1965.
AROCHE-REYES, F. Important coefficient and structural change: a multi-layer approach. Economic Systems Research, v. 8, n. 3, p. 235-246, 1996.
AROCHE-REYES, F. Structural transformation and important coefficients in the North American Economies. Economic Systems Research, v. 14, n. 3, p. 257-273, 2002.
COSTA, K. G. V.; NEVES, F. F. Padrões de interdependência setorial da estrutura produtiva brasileira entre 2000 e 2015: uma análise insumo-produto a partir da decomposição da matriz de Leontief. In: 46 ENCONTRO NACIONAL DE ECONOMIA, 2018. Anais eletrônicos..., Rio de Janeiro: ANPEC, 2018.
DASGUPTA, S.; SINGH, A. Will services be the new engine of Indian economic growth? Development and Change, v. 36, n. 6, p. 1035–57, 2005.
DIAMOND, J. Key sectors in some underdeveloped countries: A comment. Kyklos, v. 4, p. 672–74, 1976.
DIETZENBACHER, E., LUNA, R. I., NIELS BOSMA. Using average propagation lengths to identify production chains in the Andalusian economy. Estudios de Economía Aplicada, v. 23, n. 2, 405–422, 2005.
FORSSEL, O. Growth and the changes in the structure of the Finish economy in the 1960s and 1970s. In: CIASCHINI, M. (Ed.) Input-output analysis, current developments. New York, 1988.
FRITZ, M. O.; SONIS, M.; HEWINGS, G. J. D. Miyazawa analysis of interactions between polluting and non-polluting sectors. Structural Change and Economic Dynamics, v. 9, n. 3, p. 289-305, 1998.
GARCÍA MUÑIZ, A. S.; AROCHE REYES, F.; RAMOS CARVAJAL, C. Determinación de coeficientes importantes por niveles tecnológicos: una aproximación desde el modelo de Miyazawa. Investigaciones Económicas, v. 31, n. 1, p. 161-190, 2007.
GONÇALVES, E.; FERREIRA-NETO, A. B. Intersectoral flows of technological knowledge in emerging countries: an input-output analysis. Revista de la Cepal, n. 118, p. 139-155, 2016.
GOSH, S.; ROY, J. Qualitative input-output analysis of the Indian economic structure. Economic Systems Research, v. 10, n. 3, p. 263-274, 1998.
GUO, J.; SONIS, M.; HEWINGS, G. J. D. An analysis of internal and external linkagesof manufacturing and non-manufacturing industries: application to Chinese metropolitan economies. In: HEWINGS, G. J. D.; SONIS, M.; MADDEN, M.; KIMURA, Y. (Eds.) Understanding and interpreting economic structure. New York, 1999.
JILEK, J. The selection of most important input coefficients. Economic Bulletin for Europe, v. 23, n. 1, p. 86-105, 1971.
KON, A. Atividades Terciárias: induzidas ou indutoras do desenvolvimento econômico? In: FERRAZ, J.C., CROCCO, M. e ELIAS, L.A., Liberalização econômica e desenvolvimento. Rio de Janeiro: Futura, 2003.
KON, A. Atividades dos serviçoes como indutoras do desenvolvimento. Revista da Sociedade Brasileira de Economia Políticas, nº 34, p. 57-87, 2013.
LEONTIEF, W. Input-Output Economics. New York: Oxford University Press, 1986.
MARQUETTI, A. A.; HOFF, C. (2018). A economia gaúcha e as formas de articulação com a economia nacional: uma análise dos anos 2000. In: IX ENCONTRO DE ECONOMIA GAÚCHA, 9., 2018. Anais eletrônicos..., Porto Alegre: EEG, 2018.
MARTINEZ, T. S. Método RAWS/RAW para estimação anual da matriz de insumo-produto na referência 2000 das contas nacionais. Revista Pesquisa e Planejamento Econômico (PPE), v. 46, n. 2, p. 79-124, 2016.
MILLER, R. E., BLAIR, P. D. Input-Output Analysis: Foundations and Extensions. Englewood Cliffs: Prentice-Hall, 1985.
MILLER, R.E.; P.D. Blair (2009). Input-output Analysis: Foundations and Extensions. New York: Cambridge University Press, 2009.
MIYAZAWA, K. Internal and External Matrix Multipliers in the Input-Output Model. Hitotsubashi Journal of Economics, v. 7, n. 1, p. 38-55, 1966.
MIYAZAWA, K. An analysis of the interdependence between service and goods-producing sectors. Hitotsubashi Journal of Economics, v. 12, n. 1, p. 10-21, 1971.
MOHNEN, P. International R & D Spillovers and Economic Growth. Mimeo, Université du Quebec a Montreal, February, 1999.
MONTOYA, M. A.; PASQUAL, C.; BOGONI, N. As relações intersetoriais do setor de produção de energia na economia gaúcha no período de 1998 e 2003: uma análise insumo-produto. Análise Econômica, v. 32, n. 61, p. 215- 244, 2014.
NALI, J. S. Agricultura e integração industrial no Brasil. Revista Ensaios FEE, v. 9, n. 2, p. 46-63, 1988.
OCAMPO, J.A.; C. Rada; L. Taylor. Growth and policy in developing countries: a structuralist approach. New York: Columbia University Press, 2009.
OECD. OECD Science, Technology and Industry Scoreboard 2008, OECD Publishing, 2008. doi: 10.1787/sti_scoreboard-2003-en.
OKUYAMA, Y.; SONIS, M.; HEWINGS, G. J. D. Economic Impacts of an unscheduled, disruptive event: A Miyazawa multiplier analysis. In: HEWINGS, G. J. D.; SONIS, M.; MADDEN, M.; KIMURA, Y. (Eds.) Understanding and interpreting economic structure. New York, 1999.
SÁ, R. de (Org.). Matriz de Insumo-Produto do Rio Grande do Sul: 2008. Porto Alegre: FEE, 2014. Disponível em:
SCHINTKE, J.; STAGLIN, R. Important input coefficients in market transaction tables and production flows tables. In: CIASCHINI, M. (Ed.) Input-output analysis, current developments. New York, 1988.
SCHERER, F.M. Interindustry technology flows and productivity growth.Review of Economics and Statistics, v. 64, n. 4, p. 627-34, 1982.
SCHUMPETER, J. Capitalism, Socialism and Democracy. London: Harper & Brothers, 1942.
SCHUR, I. Uber Potenzreichen, die im Inn em des Einhcitskreiscs beschrankt sind. J. Reine und Angew. Math., v. 1917, n. 147, p. 205-232, 1917.
SEFAZ/RS. Secretaria da Fazenda do Rio Grande do Sul. Matriz de Insumo-Produto do Rio Grande do Sul de 2019.
Disponível em: https://dee.rs.gov.br/matriz-insumo-produto
SONIS, M.; HEWINGS, G. J. Hierarchies of Regional Sub-Structures and their Multipliers within Input-Output Systems: Miyazawa Revisited. Hitotsubashi Journal of Economics, v. 34, n. 1, p. 33-44, 1993.
VON ARNIM, R.; RADA, C. Labour productivity and energy use in a three-sector model: an application to Egypt. Development and Change, v. 42, n. 6, p. 1323-48, 2011.
WOLFF, E.N. Spillovers, Linkages and Technical Change. Economic Systems Research, v. 9, n. 1, p. 9-23, 1997.
YAN, C.; AMES, E. Economic interrelatedness, Review of Economic Studies, v. 32, n. 4, p. 299-310, 1965.
Published
2025-06-02
How to Cite
Morrone, H. (2025). SETORES CHAVE EM TERMOS DE PODER DE DIFUSÃO NO RIO GRANDE DO SUL: UMA DECOMPOSIÇÃO DE MIYAZAWA. A Economia Em Revista - AERE, 32(1), 24. https://doi.org/10.4025/econrev.v32i2.75025
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