ANALYSIS OF CO-INTEGRATION BETWEEN MILK DAIRY AND BEEF CATLLE IN MATO GROSSO
DOI:
10.31413/nativa.v10i1.13130Keywords:
pecuária, impulso-resposta, econometriaAbstract
Livestock in Mato Grosso can be considered a national reference, standing out among other factors due to its herd size. However, dairy farming has been losing participation in the domestic scenario. Invariably, beef and milk production have an intrinsic relationship in the state, where beef livestock cycles determine factors to explain the production and price of milk. That is observed in the presence of an intense short-term relationship between milk production and price, as expected, and the calf price and live cattle. The effect of the impulse response on milk production shows that the variable that most impacts the producer's decision concerning milk production are the price of live cattle. Shocks in the price of live cattle produce a negative response in milk production, but the effect of the calf's price in turn positively influences production. The lack of specialized genetics may be one of the main causes of this close relationship, causing changes in the state's beef market and meat production to significantly affect milk production and price.
References
ABITANTE, K. G. Co-integração entre os mercados spot e futuro: evidências dos mercados de boi gordo e soja. Revista de Economia e Sociologia Rural, v. 46, n. 1, p. 75-96, 2008.
BOECHAT, A. M. da F. Análise Do Comportamento Dos Preços Do Boi Gordo E Do Boi Magro. Revista de Economia e Agronegócio, v. 11, n. 3, p. 419-438, 2012.
ENDERS, W. Applied Econometric Times Series. New York - USA: John Wiley & Sons Inc, 2010. 480 p.
FERRAZZA, R. de A.; LOPES, M. A.; PRADO, D. G. de O.; LIMA, R. R. de; BRUHN, F. R. P. Association between technical and economic performance indexes and dairy farm profitability. Revista Brasileira de Zootecnia, v. 49, e20180116, 2020a. DOI: https://doi.org/10.37496/rbz4920180116
GRANGER, C. W. J. Developments in the study of cointegrated economic variables. Oxford Bulletin of Economics and Statistics, v. 48, n. 3, p. 213-228, 1986.
GREENE, W. H. Econometric analysis. 5 ed. New Jersey - USA: Pearson Education, 2002. 1026 p.
GUIMARÃES, P. H. S.; MADALENA, F. E.; CEZAR, I. M. Comparative economics of Holstein/Gir F1 dairy female production and conventional beef cattle suckler herds - A simulation study. Agricultural Systems, v. 88, n. 2–3, p. 111-124, 2006.
IBGE. Censo Agropecuário. Disponível em: <https://censos.ibge.gov.br/agro/2017/templates/censo_agro/resultadosagro/pecuaria.html>. Acesso em: 10 dez. 2020.
IBGE. Produção da Pecuária Municipal. Disponível em: <https://sidra.ibge.gov.br/pesquisa/leite/tabelas>. Acesso em: 8 abr. 2019.
IBGE. Pesquisa Trimestral do Leite. Disponível em: <https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?view=detalhes&id=298009>. Acesso em: 10 maio. 2019.
IBGE. Sistema IBGE de Recuperação Automática - SIDRA. Disponível em: <https://sidra.ibge.gov.br/>. Acesso em: 10 jan. 2020.
IMEA. Valor Bruto da Produção Agropecuária de Mato Grosso.
FAMATO_Federação da Agricultura e Pecuária do Estado de Mato Grosso. Diagnóstico das ações relacionadas à cadeia da pecuária leiteira em Mato Grosso. Cuiabá: FAMATO, 2018. 93p. Disponível em: http://appssenarmt.org.br/portal/arquivos/03082013020936.pdf (Relatório de Projeto)
JOHANSEN, S. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, v. 12, n. 2-3, p. 231-254, 1988.
LIE, H.; RICH, K. M.; DER HOEK, R.; DIZYEE, K. An empirical evaluation of policy options for inclusive dairy value chain development in Nicaragua: A system dynamics approach. Agricultural Systems, v. 164, p. 193-222, 2018. DOI: https://doi.org/10.1016/j.agsy.2018.03.008
NAZLIOGLU, S.; ERDEM, C.; SOYTAS, U. Volatility spillover between oil and agricultural commodity markets. Energy Economics, v. 36, p. 658-665, 2013. DOI: https://doi.org/10.1016/j.eneco.2012.11.009
NOVO, A. M.; SLINGERLAND, M.; JANSEN, K.; KANELLOPOULOS, A.; GILLER, K. E. Feasibility and competitiveness of intensive smallholder dairy farming in Brazil in comparison with soya and sugarcane: Case study of the Balde Cheio Programme. Agricultural Systems, v. 121, p. 63-72, 2013. DOI: http://dx.doi.org/10.1016/j.agsy.2013.06.007
SIMS, C. A. Macroeconomics and Reality. Econometrica, v. 48, n. 1, p. 1-48, 1980.
SIQUEIRA, K. B.; KILMER, R. L.; CAMPOS, A. C. The dynamics of farm milk price formation in Brazil. Revista de Economia e Sociologia Rural, v. 48, n. 1, p. 41-61, 2010.
TRUJILLO-BARRERA, A.; MALLORY, M.; GARCIA, P. Volatility spillovers in U.S. crude oil, ethanol, and corn futures markets. Journal of Agricultural and Resource Economics, v. 37, n. 2, p. 247-262, 2012.
VIEIRA, W.; SANTOS, L.; COSTA, V. Co-Integração entre os preços da soja cotados nos mercados brasileiro e norte-americano: uma análise empírica. Caderno de Pesquisas em Administração, v. 10, p. 69-78, 2003.
WOOLDRIDGE, J. M. Introductory econometrics: a modern approach. 6 ed. Boston - USA: Cengage Learning, 2015. 912 p.
YANG, J.; BESSLER, D. A.; LEATHAM, D. J. Asset storability and price discovery in commodity futures markets: A new look. The Journal of Futures Markets, v. 21, n. 3, p. 279–300, 2001.
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