## 3 Results
It should be noted that the region of Thessaly is among the most active and productive regions in Greece in the agricultural sector and thus it can provide a representative picture regarding the overall behavior of Greek farmers when decisions for joining a PRP are at stake [45]  
Finally, the results of the binomial regression analysis are presented in Table 5. In the last rows of Table 5, the results of model's goodness of fit tests are presented. The sta \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Variable** & **Minimum** & **Maximum** & **Mean** & **Std. Deviation** \\ \hline Awareness & 1.00 & 5.00 & 2.23 & 1.44 \\ \hline Info & 0.00 & 7.00 & 2.75 & 1.53 \\ \hline Income & 1.00 & 4.00 & 3.10 & 0.99 \\ \hline F-T Farmer & 0.00 & 1.00 & 0.68 & 0.47 \\ \hline Residence & 0.00 & 1.00 & 0.14 & 0.35 \\ \hline Education & 1.00 & 4.00 & 2.96 & 0.79 \\ \hline Gender & 0.00 & 1.00 & 0.07 & 0.26 \\ \hline Age (Years) & 18.00 & 83.00 & 47.30 & 13.27 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Descriptive statistics of the variables of the factor categories “direct and wider social influences” and “farmers’ ability”. tistical value of chi-square (84.87) leads to the rejection of the null hypothesis that the coefficients of the model have no effect on the dependent variable. On the other hand, the value chi-square (7.32) of the Hosmer and Lemeshow test, and the lack of any statistical significance of the estimation, signify that the observed values meet the expected ones for the subgroups. The results of both tests confirm the relatively good fit of the model to the survey data. In addition, it should be noted that the Nagelkerke Pesudo-R\({}^{2}\) is estimated at 0.450, the McFadden at 0.345, and the Cox and Snell at 0.267. These figures denote that the selected variables account for a reasonable proportion of the dependent variable's variation, considering that in general the Pesudo-R\({}^{2}\) measures are lower than the R\({}^{2}\) measures of the Ordinary Least Squares regression [40]. Finally, all variables were incorporated in an OLS regression in order to test for potential collinearity. All Variance Inflation Factors (VIF) values were found well below the critical threshold of 10, as the highest VIF value was estimated at only 1.789. In addition, Table 5 also presents the estimated coefficients (B), the Standard Errors (S.E.) of the estimations, the Wald statistic for checking the significance of the estimations, the significance levels of the estimations, and the odds ratio exp(B). The estimated coefficients of the variables of the farmers' willingness category have all the expected positive sign, but their statistical significance varies, as the PU is only significant at the <0.10 level, the Trust at the <0.05 level, and the Motivation at the <0.01 level. These findings are very interesting, as they show that as far as the beliefs and attitudes of farmers are concerned, it might be the overall stance of farmers against the agricultural occupation that really affects their likelihood for joining a PRP and to a lesser extent their pure judgment regarding the potential benefits that they will acquire from their decision. It is also elicited that farmers will take part in a collaborative project when they trust the organizers. The coefficients of the variables of the second category of factors also yield positive signs and are statistically significant at the <0.01 level. This result shows that the word of mouth remains a strong motivator for pushing farmers to take action, as any previous positive experience of other farmers' is a guarantee for other farmers to follow. In addition, the positive coefficient of the _Info_ variable denotes that as farmers get in touch with more actors of the agricultural sector, their inclination to knowledge acquisition gets stronger and their willingness to join PRP is intensified.