Case study report Po Italy - VU University, Institute for Environmental ...

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Table 49: Model fitting
Model fitting criteria
Likelihood Ratio Tests
Model - 2Log Likelihood Chi-Square df Sig.
Intercept only 670.581
Final 2152.808 318.77 5 0
In the questionnaire we also used the CVM method to ask directly the maximum wtp for the economic sectors and
environment. In this case the highest WTP obtained by the environment. Among sectors, the ones with the highest WTP
are confirmed to be agriculture and energy production.
Table 50: Willingness to pay derived from CVM
Mean (€/famiglia) Median (€/famiglia) Sd Frequency wtp =0
Environment 42.96 30 63.03 23.70%
Agriculture 29.95 10 43.12 34.90%
Energy 23.38 10 42.63 44.80%
Industry 13.87 0 25.74 55.80%
7.3 Comparison between sub-basins
This section is devoted to the comparison between the two sub-samples belonging to the two main basins considered. In
particular, we compare the characteristics and the results of CVM for the data coming out of the IT2 sample. We split
the data in two parts related two different basins. The first sub-sample is located in the Reno-Romagna basin with a size
of 159 people and the second sample in the Po basin with a size of 191 people.
In the following a description of the main sample characteristics is reported. The aim of the description is to know how
the samples differ.
In both samples the sex distribution shows a larger presence of male respect to the Italy sex distribution (see Table 51).
Table 51: Sex distribution in the two samples
Sex Reno Po
Male 54.97% 52.83%
Female 45.03% 45.28%
- 0.00% 1.89%
Tot 100.00% 100.00%
The average age is 47 in the Reno sample and 43 in the Po sample. In particular in the Po basin the presence of people
over 65 years old is less than in Reno and the interval class with the highest frequency is 35-45 years old (see Table 52).
Table 52: Age distribution in the two samples
Age Reno Po Age Reno Po
65 19.37% 6.29%
35-45 20.94% 37.74% - 0.00% 1.26%
45-55 20.42% 20.13% Tot 100.00% 100.00%
Differences between samples can be understand analysing the job distribution (Table 53). In fact, in the Reno basin the
presence of retired is larger than in the Po (21% vs. 8%) and the farmers presence is larger in the Po basin than in the
Reno (13% vs. 5%). In the Po basin the presence of fisherman depends on the possibility to make the activity as a job.
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