Metrics and methods for characterizing dairy farm intensification using farm survey data

Area of Science:

• Agricultural Economics
• Farm Management
• Sustainability Science

Background:

• Evaluating agricultural intensification necessitates analyzing farm performance across physical and socio-economic factors.
• Aggregate reporting of economic indicators obscures farm diversity and specific intensification pathway sustainability.
• Understanding farm typologies is crucial for assessing the impacts of agricultural changes.

Purpose of the Study:

• To develop and apply a methodology for identifying distinct dairy farm typologies.
• To analyze trends in farm structure, environmental, and socio-economic sustainability indicators over time.
• To evaluate the consequences of dairy farm consolidation and intensification.

Main Methods:

• Utilized farm business data from 7281 English and Welsh dairy farms (2001-2014).
• Calculated 16 key performance indicators (KPIs) related to farm structure and sustainability.
• Applied principal component analysis and model-based clustering to identify farm typologies, linked through multidimensional scaling.

Main Results:

• Dairy farms consolidated into two distinct typologies: extensive (grass-reliant, lower yield, higher labor) and intensive (higher yield, concentrate/maize use, lower labor).
• Evidence suggests convergence between typologies, with extensive farms intensifying faster.
• In 2014, yields were 6,835 l/cow (extensive) vs. 7,500 l/cow (intensive); concentrate use was 1.3 vs. 1.5 tonnes/cow.

Conclusions:

• The developed methodology accurately identifies distinct farm types and industry trends from survey data.
• Farm typologies provide a more accurate evaluation of intensification impacts than average farm data.
• This approach enables better assessment of dairy sector changes at national and international levels.