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Table 3 Descriptive statistics of the questions asked in both surveys

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

Variable

Type of variable

Obs.

Description

Possible values

Percentage/mean

Age

Continuous

391

Age of the respondent

Min (21) max (75)

Mean 39.5

Graduate

Binary

393

The respondent is graduated

Yes (1)

52.4

No (0)

47.6

Gender

Binary

393

Sex of the respondent

Female (1)

64

Male (0)

36

High income

Binary

393

The respondent belongs to high-income class

Yes (1)

24.9

No (0)

75.1

Knows CF

Binary

393

The respondent knows the CF label

Yes (1)

31.6

No (0)

68.4

Price Sensitivity

Binary

393

Importance 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 sensitivity

Binary

393

Importance 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

Origin

Binary

393

Importance of product origin when buying food

Important a (scores 4 and 5: 1)

31.2

All other responses (scores 1–3: 0)

68.8

Km 0

Binary

393

Importance 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 impact

Binary

393

Importance 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 packaging

Binary

393

Importance of reducing packaging to have a positive impact on CF reduction

Important a (scores 4 and 5: 1)

60.6

All other responses (scores 1–3: 0)

39.4

WTP

Binary

393

The respondent expresses a positive WTP

Yes (1)

76.08

No (0)

23.92

Survey_B

Binary

393

Survey

B (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