Evaluation of technical efficiency and financial performance of wild blueberry production in Québec
Luc Belzile
Project manager
418 643-2380
ext 630
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
This may interest you
Variable economic injury for the apple leafcurling midge and modelling of population abundance of this emerging pest
The apple leafcurling midge is a new apple pest in Québec. The aim of the project is to explore the pest’s phenology, establish variable economic injury thresholds, and incorporate the results into a phenology model in CIPRA.
Researcher: Daniel Cormier
Assessing the effectiveness of HARVANTA (cyclaniliprole) in controlling major cranberry pests
This project’s aim is to evaluate the effectiveness of HARVANTA® 50SL to control the cranberry weevil, the blackheaded fireworm and the cranberry fruitworm.
Researcher: Annabelle Firlej
Tailoring apple scab control strategies to the properties of the fungicides utilized
Developing a new scab control strategy based on selecting the lowest-risk products that best fit the circumstances at hand, and tailoring the doses accordingly.
Researcher: Vincent Philion
