In this project we will evaluate labour productivity using different methodological approaches, including Statistics Canada’s methodology. We will adapt Statistics Canada's macroeconomic approach to the microeconomic level by correlating the added value on the farm with certain labour measurements (e.g., annual work unit). Other quantitative methods will also be used, including data envelopment analysis (DEA) and stochastic production frontier analysis (SPFA). The data will be obtained from studies on hog production costs conducted by Éleveurs de Porcs du Québec and Centre d'études sur les Coûts de Production en Agriculture (CECPA). At the same time, a second part of the project will involve conducting a qualitative analysis that will comprise two methods for collecting data in the field. First, we will conduct one-on-one interviews with producers and other industry stakeholders. These will be supplemented by a focus group for the purpose of confirming and/or validating the success factors identified by producers during the one-on-one interviews and by the quantitative analysis. Following the productivity assessment, project collaborators will analyze the results and identify best practices and recommendations that take into account the current industry landscape.
From 2019 to 2021
The project will help the entire pork industry boost its competitiveness in the global marketplace.
Centre de développement du porc du Québec
This project will determine the nitrogen efficiency coefficient (EC) of pelleted laying hen manure, a source that is interesting an increasing number of growers, both organic and conventional, because of its efficiency.
Researcher: Christine Landry
This project will draw recommendations to reduce fugitive emissions through technical means or agricultural practices.
Researcher: Matthieu Girard
The objective of this study is to create a cheap, effective, ecofriendly alternative to the use of antibiotics on chicken farms by developing a new formula using yeasts, enzymes, and organic acids.
Researcher: Stéphane Godbout