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
Cow-calf farms tend to prefer outdoor breeding, poor-quality drinking water can have a direct impact on animal health, and may lead to higher pathogen levels in the environment and at slaughter time, and negative consequences for food safety.
This project will develop a procedure that relies on genetic markers to identify the animal species responsible for fecal contamination.
Researcher: Caroline Côté
This project addresses the risks posed by the spreading of manure and emissions released into the environment to the biosecurity of farms, as well as to the health of workers and nearby populations.
Researcher: Stéphane Godbout