World Aquaculture Singapore 2022

November 29 - December 2, 2022

Singapore

GOVERNANCE STRUCTURES AND PERFORMANCE INDICATORS OF TILAPIA POLES IN BRAZIL: A GLOBAL VALUE CHAIN APPROACH

Vinícius Souza Ribeiro* and Manoel Xavier Pedroza Filho

 

Federal Institute of Education, Science and Technology of Tocantins

Department of Natural Resources

Address: Campus Palmas - Quadra 310 Su, Lo 5, s/n - Plano Diretor Sul,

Palmas – TO, Brasil, 77021-090

E-mail: vribeiro@ifto.edu.br

 



Tilapia is the most farmed fish in Brazil, its production continues to expand being consumed almost entirely by the domestic market. The recent drawback mechanism and environmental release laws for production in areas of the Amazon biome are two key elements in expanding and sustaining Brazil’s exports. Based on the Global Value Chain (GVC) approach. This research aims to analyze two tilapia poles in Brazil with different governance structures.

First, we defined a series of indicators corresponding to the six dimensions of the GVC (i.e. input-output structure; governance; updating; local institutional context; industry stakeholders) capable of establishing a comparison between the poles. As many of the elements of GVC’s analysis are essentially based on qualitative data, we use the fuzzy logic to consolidate these indicators in quantitative terms.

In the first trimester of 2019 we collected data from São Francisco Valley (Northeast) and West Paraná (South), the dataset totaled a sample of 362 production units. With complementary secondary data related to the input and processing industries, we analyze the governance structure of each pole. Finally, we calculated the indicators and aggregated them spatially.

Finally, we identified a greater proximity between the Northeast pole and the market model and the South pole with the hierarchical profile. Based on these indicators we identified some similarities and differences between the poles in different dimensions. These results open up the possibility, for example, of analyzing the causality between governance structures and performance indicators in the GVC approach.