Metafronteira de produção e eficiência técnica da carcinicultura nos estados do Ceará e Rio Grande do Norte
Metafrontier production and technical efficiency of shrimp farming in the States of Ceará and Rio Grande do Norte
Jonathas Viana Monteiro; Alana Kedylla Monteiro Norões; Rogério César Pereira de Araújo; Jair Andrade Araújo; Felipe Pinto da Silva
Resumo
Palavras-chave
Abstract
Abstract: In the Northeast of Brazil, the shrimp farming has achieved high level of technical efficiency; however, these advances have not happened homogenously among producing states. This study aims to analyze the technological differences of shrimp production occurring among the two major producer states of this commodity, Ceará and Rio Grande do Norte, 2011. In order to perform this, we applied the technological meta-frontier model proposed by Battese, Rao and O’Donnell, which aims to estimate an envelope function of the production stochastic frontier of the two states. Production and management data were extracted from the 2011 Shrimp Farming Census, conducted by the Brazilian Association of Shrimp Farming (ABCC), constituted of 100 farms in Ceará and 112 in Rio Grande do Norte. The results showed that, in average terms, Ceará was more technically efficient (ET) than Rio Grande do Norte, and the
Keywords
Referências
Aigner, D. J., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models.
Araújo, A. M. M., & Araújo, R. C. P. (2015, julho 26-29). Análise das práticas de gestão ambiental e seus impactos sobre a produtividade da carcinicultura no Ceará. In:
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India.
Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data.
Battese, G. E., Rao, D. S. P., & O’Donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies.
Begum, M. E. A., Hossain, M. I., & Papnagioto, E. (2013). Technical efficiency of shrimp farming in Bangladesh: an application of the stochastic production frontier approach.
Brasil. Ministério da Pesca e Agricultura. (2013).
Castro, A. A., & Pagani, G. D. (2004). Secagem e composição química da cabeça de camarão
Farrel, M. J. (1957). The measurement of production efficiency.
Food and Agriculture Organization of United Nations – FAO. (2014).
Food and Agriculture Organization of United Nations – FAO. (2016).
Hayami, Y. (1969). Sources of agricultural productivity gap among selected countries.
Hayami, Y., & Ruttan, V. W. (1970). Agricultural productivity differences among countries.
Instituto Brasileiro de Geografia e Estatística – IBGE. (2015).
Islam, G. M. N., Yew, T. S., & Noh, K. M. (2014). Technical efficiency analysis of shrimp farming in Peninsular Malaysia: a stochastic frontier production function approach.
Joventino, F. K. P. (2006).
Kiet, N. T., & Fisher, T. C. G. (2014). Efficiency analysis and the effect of pollution on shrimp farms in the Mekong river delta.
Kodde, D. A., & Palm, F. C. (1986). Wald criteria for jointly testing equality and inequality restrictions.
Kubitza, F. (2015). Aquicultura no Brasil: principais espécies, áreas de cultivo, rações, fatores limitantes e desafios.
Lisboa Filho, W., Carlini Junior, R. J., Lucena, H. A., & Silva, F. S. C. M. (2006).
Meeusen, W., & Broeck, J. V. D. Efficiency estimation from Cobb-Douglas production functions with composed error.
Nascimento, M. L. (2013).
O’Donnell, C. J., Rao, D. S. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios.
Oliveira, I. R. (2008).
Silva, J. L. M., & Sampaio, L. M. B. (2009). Eficiência, gestão e meio ambiente na carcinicultura do Rio Grande do Norte.
Sivaraman, I., Krishnan, M., Ananthan, P. S., Satyasai, K. J. S., Krishnan, L., Haribabu, P., & Ananth, P. N. (2015). Technical efficiency of shrimp farming in Andhra Pradesh: estimation and implications.
Sousa Júnior, J. P. (2003).
Submetido em:
04/05/2017
Aceito em:
28/10/2018