Abstract
This paper investigates the primary products exports effects, especially on oil, on the Brazilian Gross Domestic Product (GDP) performance, according to the arguments for the literature called “Natural Resources Curse”. For this, it uses cointegration analysis through estimation of Autoregressive Distributed Lag (ARDL) models, with data from the 2000-2017 period. The evidence indicates that the oil exports effects are positive for economic activity in the long run, with robust results by the control of the transmission channels, contrary to the Curse hypothesis for Brazil. However, the effects are negative in the short run, although they become insignificant with the control of transmission channels. Thus, this paper verifies that investments resumption and institutional framework improvement are important to ensure the oil benefits for the economy.
References
ALEXEEV, M.; CONRAD, R. The Elusive Curse of Oil. The Review of Economics and Statistics, MIT Press, vol. 91(3), p. 586-598, August, 2009.
AREZKI, R.; VAN DER PLOEG, F. Can the Natural Resource Curse be turned into a Blessing? The Role of Trade Policies and Institutions. IMF Working Paper 07/55. March, 2007.
BANCO CENTRAL DO BRASIL. BCB. Economia e Finanças. Séries Temporais. Disponível em: https://www.bcb.gov.br/pt-br/#!/n/SERIESTEMPORAIS. Acesso em: 02/07/2018.
BROWN, R. L., DURBIN, J., EVANS, J. M. Techniques for Testing the Constancy of Regression Relationships over Time. Journal of the Royal Statistical Society. Series B (Methodological) pp. 149-192, 1975.
BRUNNSCHWEILER, C. N.; BULTE, E. H. The Resource Curse Revisited and Revised: a tale of paradoxes and red herrings. Working Paper, CER-ETH - Center of Economic Research at ETH Zurich, n.06 /61, 2006.
COLLIER, P.; GODERIS, B. Commodity Prices, Growth and the Natural Resources Curse: reconciling a conundrum. Working Paper 276. Centre for the Study of African Economies. August. 2007.
CONFEDERAÇÃO NACIONAL DA INDÚSTRIA. CNI. Indicadores CNI. 2018. Disponível em: http://www6.sistemaindustria.org.br/gpc/externo/estatisticaAcessoSistemaExterno.faces. Acesso em: 10/07/2018.
ENGLE, R.; GRANGER, C. W. J. Cointegration and Error Correction: representation, estimation, and testing. Econometrica, v. 55, n.2, p.251-76, 1987.
FRANKEL, J. The Natural Resource Curse: a survey. NBER Working Paper 15836, March, 2010.
GYLFASON, T. Natural Resources, Education, and Economic Development. European Economic Review, 45, p. 847-859, 2001.
INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA. IBGE. Sistema IBGE de Recuperação Automática (SIDRA). Contas Nacionais Trimestrais. Disponível em: https://sidra.ibge.gov.br/home/cnt. Acesso em: 02/07/2018.
INSTITUTO DE PESQUISA ECONÔMICA APLICADA. IPEADATA. Indicadores. Disponível em: http://www.ipeadata.gov.br/. Acesso em: 02/07/2018.
JOHANSEN, S. Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, vol. 59, pp. 1551–1580, 1991.
LAY, J.; MAHMOUD, T. O. Bananas, Oil, and Development: examining the resource curse and its transmission channels by resource type. Working Paper n. 1218, Kiel Institute for World Economics, August, 2004.
LEDERMAN, D.; MALONEY, W. F. In Search of the Missing Resource Curse. Policy Research Working Paper 4766. World Bank, Washington, DC., November, 2008.
MACIEL, G. C. A. Recursos naturais e desenvolvimento econômico: bênção, maldição ou oportunidade?, 2015, 305 f. (Tese de Doutorado). Instituto de Economia da Universidade Federal do Rio de Janeiro. Rio de Janeiro.
MEHLUM, H.; MOENE, K.; TORVIK, R. Institutions and the Resource Curse. The Economic Journal, 116 (January), 1–20. Royal Economic Society, 2006.
MINISTÉRIO DO DESENVOLVIMENTO, INDÚSTRIA E COMÉRCIO EXTERIOR. MDIC. Estatísticas de Comércio Exterior. Disponível em: http://www.mdic.gov.br/index.php/comercio-exterior/estatisticas-de-comercio-exterior. Acesso em: 02/07/2018.
MULWA, R.; MARIARA, J. Natural Resource Curse in Africa: Dutch Disease and institutional explanations. AGRODEP Working Paper 0029, June, 2016.
MURSHED, S. M. When Does Natural Resource Abundance Lead to a Resource Curse? Discussion Paper 04-01, March, 2004.
PAPYRAKIS, E; GERLAGH, R. The Resource Curse Hypothesis and its Transmission Channels. Journal of Comparative Economics 32, p. 181–193, 2004.
PESARAN, M. H.; SHIN, Y. An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. In: Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge: Cambridge University Press, 1999.
PESARAN, M. H.; SHIN, Y.; SMITH, R. J. Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Economics. vol. 16, p. 289–326. 2001.
PESSOA, A. Natural Resources and Institutions: the “Natural Resources Curse” revisited. Faculdade de Economia da Universidade do Porto. MPRA Paper No. 8640, May, 2008.
PHILLIPS, P. C. B.; HANSEN, B. E. Statistical Inference in Instrumental Variables Regression with I(1) Processes. The Review of Economic Studies, vol. 57, n. 1, pp. 99-125, 1999.
ROCHA, F. Natural Resource Curse and Externalities from Natural Resource Exports. Texto para Discussão. Instituto de Economia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Novembro, 2010.
SACHS, J. D.; WARNER, A. M. The Curse of Natural Resources. European Economic Review 45, Harvard University, Cambridge, p. 827-838. 2001.
SACHS, J. D.; WARNER, A. M. Natural Resource Abundance and Economic Growth. Center for International Development and Harvard Institute for International Development. Harvard University. November, 1997.
SACHS, J. D.; WARNER, A. M. Natural Resource Abundance and Economic Growth. National Bureau of Economic Research, NBER Working Paper No. 5398. December, 1995.
SALA-I-MARTIN, X.; SUBRAMANIAN, A. Addressing the Natural Resource Curse: An Illustration from Nigeria. IMF Working Paper. WP/03/139. July, 2003.
SATTI, S. L.; FAROOQ, A.; SHAHBAZ, M. Empirical Evidence on the Resource Curse Hypothesis in Oil Abundant Economy. MPRA Paper, n. 50150, 2013.
STIJNS, J. C. Natural Resource Abundance and Economic Growth Revisited. Working Paper University of California at Berkeley. 2001.
TIBA, S.; FRIHKA, M. Africa Is Rich, Africans Are Poor! A Blessing or Curse: An Application of Cointegration Techniques. Journal Knowledge Economics. March, 2018.
WORLD BANK. Global Economics Monitor. 2018. Disponível em: https://data.world/worldbank/global-economic-monitor. Acesso em: 02/07/2018.
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