Skip to main content

Table 3 Descriptive statistics of the questions asked in both surveys

From: Consumer stated preferences for dairy products with carbon footprint labels in Italy

VariableType of variableObs.DescriptionPossible valuesPercentage/mean
AgeContinuous391Age of the respondentMin (21) max (75)Mean 39.5
GraduateBinary393The respondent is graduatedYes (1)52.4
No (0)47.6
GenderBinary393Sex of the respondentFemale (1)64
Male (0)36
High incomeBinary393The respondent belongs to high-income classYes (1)24.9
No (0)75.1
Knows CFBinary393The respondent knows the CF labelYes (1)31.6
No (0)68.4
Price SensitivityBinary393Importance of price when purchasing products (from 1 to 5)Important (scores 4 and 5: 1)38.9
All other responses (scores 1–3: 0)61.1
Brand sensitivityBinary393Importance of brand when purchasing products(from 1 to 5)Important a (scores 4 and 5: 1)63.6
All other responses (scores 1–3: 0)36.4
OriginBinary393Importance of product origin when buying foodImportant a (scores 4 and 5: 1)31.2
All other responses (scores 1–3: 0)68.8
Km 0Binary393Importance of food at Km 0 in mitigating climate change (from 1 to 5)Important a (scores 4 and 5: 1)67.4
All other responses (scores 1–3: 0)32.6
Low impactBinary393Importance of food produced with low impact processes in mitigating climate change (from 1 to 5)Important a (scores 4 and 5: 1)50.9
All other responses (scores 1–3: 0)49.1
No packagingBinary393Importance of reducing packaging to have a positive impact on CF reductionImportant a (scores 4 and 5: 1)60.6
All other responses (scores 1–3: 0)39.4
WTPBinary393The respondent expresses a positive WTPYes (1)76.08
No (0)23.92
Survey_BBinary393SurveyB (1)45.2
A (0)54.8
  1. Source: Authors’ elaborations.
  2. aAfter careful consideration of some originally ordinal variables’ distribution and performances in the model, they have been converted into dichotomous variables, with value one when respondents judge the characteristics analysed being “important” or “extremely important” (original response equal to 4 or 5) and value zero to all other responses (original response from 1 to 3). The recoding allows emerging the behaviour of the respondent that give more importance to the specific characteristic; results do not notably change when considering the original responses as categorical variables