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
Project to limit the spread of disease and improve biosecurity protocols on farms through improved understanding of emissions and alternate spreading techniques.
The aim of this project is to show that efforts made to better distribute phosphorus on the land are effective and that the indicators used to determine phosphorus saturation thresholds are correlated with soil phosphorus balance and dynamics.
Researcher: Marc-Olivier Gasser
Based on previous work conducted at IRDA and our team’s expertise, this project looks to finalize the development of a robust and cost-effective swine slurry bioconversion system.
Researcher: Stéphane Godbout