Ceará’s lobster exports: an approach by autoregressive vectors – VAR

Authors

  • Luis Abel da Silva Filho Regional University of Cariri – URCA, Brazil
  • Cosmo Renan da Silva Souza Regional University of Cariri – URCA, Brazil
  • Edcleutson de Souza Silva University of Paraíba – UFPB, Brazil
  • Yuri César de Lima e Silva Federal University of Roraima – UFRR, Brazil

Keywords:

Exports, Ceará, fish, lobsters

Abstract

Animal protein consumption has been growing worldwide with the advancement of globalization in trade, and it is sensitive to exchange rate changes and domestic product prices. Brazil stands out as one of the world's largest exporters of protein commodities, and Ceará is one of Brazil's largest fish exporters. Therefore, this study aims to analyze how exchange rate changes and changes in lobster prices affect the volume of lobster exported by the State of Ceará (the largest lobster exporter in the country). The selected period covers 2002 to 2022, and the analysis will be conducted using the Vector Autoregressive (VAR) approach. The results show that there is no long-term relationship between the variables and that the dynamics of lobster exports from Ceará can be explained much more by factors inherent and subjective to the supply and demand for the product rather than by macroeconomic variables commonly used in studies of this nature.

Author Biographies

Luis Abel da Silva Filho, Regional University of Cariri – URCA, Brazil

Professor at the Department of Economics at the Regional University of Cariri – URCA. Researcher at the Directorate of Regional, Urban, and Environmental Studies – DIRUR of the Institute of Applied Economic Research – IPEA.

https://orcid.org/0000-0002-7453-1678

luis.abel@urca.br

Cosmo Renan da Silva Souza, Regional University of Cariri – URCA, Brazil

Undergraduate in Economics at the Regional University of Cariri – URCA.

https://orcid.org/0009-0000-8234-8331

cosmorenanrl@gmail.com

Edcleutson de Souza Silva, University of Paraíba – UFPB, Brazil

PhD candidate in Economics at the Federal University of Paraíba – UFPB

https://orcid.org/0000-0003-3193-8520

edcleutsonsouza@gmail.com

Yuri César de Lima e Silva, Federal University of Roraima – UFRR, Brazil

Professor at the Department of Economics at the Federal University of Roraima – UFRR
Planning and Budget Analyst at the Planning and Budget Secretariat of Roraima

https://orcid.org/0000-0002-2110-6256

References

Aidar, G. L., & Deus, L. N. (2019). O desempenho das exportações brasileiras na perspectiva dos seus principais parceiros comerciais: Uma análise pelo método de Vetores Auto-Regressivos (VAR). Economia e Desenvolvimento, 31(6).

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/TAC.1974.1100705

Castro, M. A. R., Santos, M. C., & Lima, E. J. A. (2018). Causalidade entre petróleo, câmbio e commodities energéticas: Abordagem com Vetores Auto-Regressivos (VAR). Revista de Gestão, Finanças e Contabilidade, 8(3), 38-57. https://doi.org/10.29393/rgfc8-3asmg40002

De Souza, M. O. (2018). Determinantes da disponibilidade interna, do processamento doméstico e da oferta de exportação brasileira de soja em grãos. Tese (Doutorado em Ciências) - Escola Superior de Agricultura "Luiz de Queiroz, Universidade de São Paulo, Piracicaba.

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276. https://doi.org/10.2307/1913236

Farias, A. C. da S., & Farias, R. B. A. (2018). Desempenho comparativo entre países exportadores de pescado no comércio internacional: Brasil eficiente? Revista de Economia e Sociologia Rural, 56(4), 451-466. https://doi.org/10.1590/1234-56781890-5678resr2018560403

Felipe, I. J. dos S. (2013). Análise de volatilidade, integração de preços e previsibilidade para o mercado brasileiro de camarão (Dissertação de mestrado). Universidade Federal do Rio Grande do Norte.

Fernandez, A. F. de A. (2020). Impactos da taxa de câmbio, preços das commodities e renda mundial sobre as exportações do agronegócio brasileiro entre 1997 e 2018 (Tese de doutorado). Universidade de São Paulo.

Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791

Hannan, E. J., & Quinn, B. G. (1979). The determination of the order of an autoregression. Journal of the Royal Statistical Society: Series B (Methodological), 41(2), 190-195. https://doi.org/10.1111/j.2517-6161.1979.tb01072.x

Hernández-Rodríguez, A., Agüero, M., Gallegos, R., & Ibarra, A. (2001). Aquaculture development trends in Latin America and the Caribbean. In R. Subasinghe, P. B. Bueno, M. J. Phillips, C. Hough, S. E. McGladdery, & J. R. Arthur (Eds.), Aquaculture in the Third Millennium (pp. 317-340). Food and Agriculture Organization of the United Nations (FAO).

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3

Ramos, A. R. A., Gomes, R. C., & Câmara, M. H. (2023). Insustentabilidade da pesca da lagosta no estado do Ceará. Contribuciones a las Ciencias Sociales, 16(8), 8748-8768.

Rodrigues, L. S., Santos, M. C., & Pereira, R. M. (2012). Panorama da aquicultura no Brasil: Desafios e oportunidades. BNDES Setorial, 35, 421-463.

Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461-464. https://doi.org/10.1214/aos/1176344136

Sibin, B. H., da Silva Filho, L. A., & Ballini, R. (2016). Financiamento habitacional e seus impactos sobre os preços na construção civil brasileira. Revista Espacios, 37(20). https://doi.org/10.48082/espacios-año2016-vol37-n20

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48. https://doi.org/10.2307/1912017

Subasinghe, R., Soto, D., & Jia, J. (2009). Global aquaculture and its role in sustainable development. Reviews in Aquaculture, 1(1), 2-9. https://doi.org/10.1111/j.1753-5131.2008.01002.x

Valdimarsson, G. (2003). International fish trade. In Expert Consultation on International Fish Trade and Food Security (Presentation). Food and Agriculture Organization of the United Nations.

Published

2025-07-02

Issue

Section

Science article