Skip to main content
. 2022 May 31;12(11):1421. doi: 10.3390/ani12111421

Table 2.

Varimax rotated PCA: dairy products sustainability and quality components (n = 543). Each component is named in accordance with the consumption models described by the significance of values.

Variables Principal Components
PC1
(Responsive
to Quality
Attributes)
PC2
(Local Is
Better)
PC3
(Local Is
Sustainable)
PC4
(Availability
Request)
Preferences Questions (Degree of Preferences for Quality Attributes of Dairy Products )
Certified geographical indication 0.840
Sustainability certification 0.815
Product linked to the tradition of the territory 0.789 0.324
Organic certification 0.779
Type of production system 0.735
Local origin 0.735 0.398
Type of milk used in the production system 0.730 0.363
Brand knowledge 0.720
Fat content 0.684
Quality and safety of the production 0.376 0.801
Taste 0.776
Country of origin 0.494 0.631
Price 0.352
Aspect/packaging 0.372
Sustainability Perception Questions
Local dairy products are more sustainable for the environment 0.767
Local dairy products are more sustainable for the society 0.722
Local dairy products are better in quality, safer, and healthier 0.325 0.666
Local dairy products derive from the production system with higher animal welfare standards 0.612
Local Products Availability
If local products were promoted more widely on the market, would you buy them more often? 0.832
If local products were more available on the market, would you buy them more often? 0.816
Are local dairy products easily available on the market? −0.484

Kaiser–Meyer–Olkin index = 0.90. Bartlett’s sphericity test: Chi square = 5481.042; p-value = 0.000. Non-significant values (<±0.3) are not shown.