Agriculture Reference
In-Depth Information
Total
average
(st. dev.)
Y = 0
average
(st. dev.)
Y = 1
average
(st. dev.)
Y = 2
average
(st. dev.)
Y = 3
average
(st. dev.)
Y = 4
average
(st. dev.)
No. of observations
933
261
225
162
181
104
Logarithmic
transformation of
households' annual
income
12.24
(0.52)
12.09
(0.52)
12.29
(0.54)
12.30
(0.52)
12.30
(0.48)
12.30
(0.47)
INC_LN
Environmental attribute
OIFV prod. environment
friendly (likert scale, 1-7)
5.84
(1.56)
5.85
(1.66)
5.80
(1.53)
5.88
(1.68)
5.80
(1.44)
5.98
(1.48)
ENVIR
Health attribute: OIFV
considered healthier
(likert scale, 1-7)
6.07
(1.35)
5.88
(1.55)
6.00
(1.30)
6.25
(1.21)
6.15
(1.25)
6.22
(1.32)
HLTH
Price attribute: OIFV are
too expensive
(likert scale, 1-7)
5.68
(1.55)
5.77
(1.59)
5.68
(1.41)
5.62
(1.61)
5.61
(1.60)
5.72
(1.56)
PRICE
Visual attractiveness of
OIFV (likert scale, 1-7)
VISUA
L
4.71
(1.62)
4.40
(1.68)
4.41
(1.48)
4.78
(1.62)
4.98
(1.54)
5.38
(1.59)
Taste of OIFV deemed
better (likert scale, 1-7)
5.35
(1.51)
5.17
(1.56)
5.05
(1.59)
5.46
(1.46)
5.56
(1.40)
5.83
(1.31)
TASTE
Availability of OIFV by
frequently used retailers
(likert scale, 1-7)
3.99
(1.91)
3.52
(2.01)
3.62
(1.89)
4.12
(1.82)
4.36
(1.70)
4.85
(1.77)
RETAIL
Perceived linkages
between origin and
quality
(likert scale, 1-7)
ORIG_
Q
5.92
(1.33)
5.99
(1.39)
5.74
(1.46)
5.82
(1.31)
6.04
(1.10)
6.10
(1.33)
More than 50% of F&V
purchased (0=N; 1=Y)
0.37
(0.48)
0.23
(0.42)
0.29
(0.45)
0.47
(0.50)
0.44
(0.50)
0.48
(0.50)
BUYER
At least one meal daily
cooked by themselves
(0=N; 1=Y)
0.57
(0.50)
0.50
(0.50)
0.44
(0.50)
0.60
(0.49)
0.60
(0.49)
0.63
(0.48)
COOK
0.54
(0.50)
Table 4. Definition of explanatory variables and descriptive statistics of data used in the
model
Residence in rural area
(0=N; 1=Y)
0.63
(0.48)
0.60
(0.49)
0.48
(0.50)
0.63
(0.48)
0.73
(0.45)
RURAL
Table 5 presents the parameter estimates from the ordered probit model of consumer choice
for organic and integrated fruit and vegetables in Slovenia.
Based on the results of a likelihood ratio test (Pindyck and Rubinfeld, 1991) the model is
statistically significant at 99% or above. The results of the χ2 test reveal that the differences
between the model coefficients are statistically significant. However, the value of the
likelihood ratio index (LRI) goodness-of-fit coefficient (Greene, 1997) is rather low (0.049),
which implies that the model explains only a part of the variance within the dataset. However,
the main purpose of this empirical work was not to maximise probability function but to
evaluate impact of some attitudinal variables on purchase frequency. Rather low LRI values
were also expected due to the fact the survey dataset comprised only rather general
determinants influencing households' purchasing behaviour. For higher degree of explanatory
capacity of the model clearer definition of determinants is needed in the future work.
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