Evaluation of technical efficiency and financial performance of wild blueberry production in Québec
Luc Belzile
Description
The basic hypothesis is that links exist between technical efficiency in wild blueberry production and the financial performance of businesses in this sector. To test this hypothesis, relative technical efficiency was first measured using the appropriate quantitative methods. It was then possible to test how technical efficiency and financial performance on these farms are linked. This was done by comparing different financial ratios of each efficiency group.
Objective(s)
- Measure the technical efficiency of wild blueberry farms
- Evaluate the value of pollination services used by wild blueberry producers
- Rank the farms in relation to the practices used by the most efficient farms
- Conduct an efficiency study to identify the most efficient allocation of inputs and resources
- Establish links between the farms’ technical efficiency and financial performance
From 2016 to 2017
Project duration
Fruit production
Activity areas
Forty-six wild blueberry farms participated to this project.
Partner
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec
Publications
This may interest you
Investigating key physicochemical and environmental factors that could account for variable lowbush blueberry yields
As part of this project, the soil water status at a chosen blueberry farm will be monitored at 40 spots over the course of the production year. We will seek to identify the relationship between water extraction, physicochemical and environmental factors, and yield levels that could help explain yield variability.
Researcher: Carl Boivin
Attract-and-kill techniques for monitoring and controlling stinkbugs in Québec orchards
Acquiring the knowledge needed to develop an attract-and-kill treatment to control current and future stinkbug populations in Québec apple orchards.
Researchers: Gérald Chouinard Daniel Cormier
Exploring the potential of thermal imaging data acquired by drone for the detection of water stress in lowbush blueberries
Exploration of the potential of detecting water stress in lowbush blueberries using a thermal infrared imaging sensor installed on a drone.
Researcher: Carl Boivin