## 10 Green Public Procurement Applied in Organic Agriculture in Romania
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline  & & & \multicolumn{4}{c}{**Coefficients \({}^{\mathbf{a}}\)**} \\ \hline \multirow{3}{*}{**Model**} & \multicolumn{3}{c}{**Unstandard. Coeff.**} & \multicolumn{3}{c}{**Standard.**} & \multirow{3}{*}{**T**} & \multirow{3}{*}{**Sig**} & **95.0\% Confidence** & \multicolumn{3}{c}{**Collinearity**} \\  & & & & & **Coeff.** & & **Interval for B** & \multicolumn{3}{c}{**Statistics**} \\  & & **B** & & **Std. Err.** & & **Beta** & & **Lower** & **Upper** & **Tolerance** & **VIF** \\ \hline \multirow{4}{*}{1} & (Constant) & 86,081.95 & 56,692.8 & & 1.52 & 0.18 & \(-\)52,640.4 & 224,804.3 & \multirow{4}{*}{0.47} & \multirow{4}{*}{2.09} \\  & Cereals & 2.384 & 0.319 & 0.751 & 7.47 & 0.00 & 1.603 & 3.164 & & 0.477 & 2.09 \\ \cline{1-1}  & Green\_harv & 0.807 & 0.790 & 0.130 & 1.02 & 0.34 & \(-\)1.125 & & 2.739 & 0.296 & 3.37 \\ \cline{1-1}  & Uncultiv. & \(-\)6.061 & 4.131 & \(-\)0.180 & \(-\)1.46 & 0.19 & \(-\)16.168 & & 4.046 & 0.319 & 3.14 \\ \hline \multicolumn{11}{c}{} & \multicolumn{3}{c}{**Coefficient Correlations \({}^{\mathbf{a}}\)**} \\ \hline \multirow{4}{*}{1} & \multicolumn{3}{c}{**Model**} & \multicolumn{3}{c}{**Uncultiv.**} & \multicolumn{3}{c}{**Cereals**} & \multicolumn{3}{c}{**Green_harv**} \\ \cline{3-8}  & & \multicolumn{3}{c}{Uncultivated} & \multicolumn{3}{c}{1.000} & \multicolumn{3}{c}{0.249} & \multicolumn{3}{c}{0.646} \\  & Correlations & & \multicolumn{3}{c}{Cereals} & \multicolumn{3}{c}{0.249} & \multicolumn{3}{c}{1.000} & \multicolumn{3}{c}{\(-\)0.357} \\  & & \multicolumn{3}{c}{Green\_harv} & \multicolumn{3}{c}{0.646} & \(-\)0.357} & \multicolumn{3}{c}{1.000} \\  & & \multicolumn{3}{c}{Uncultivated} & \multicolumn{3}{c}{17.061} & \multicolumn{3}{c}{0.329} & \multicolumn{3}{c}{2.106} \\  & Covariances & & \multicolumn{3}{c}{Cereals} & \multicolumn{3}{c}{0.329} & \multicolumn{3}{c}{0.102} & \multicolumn{3}{c}{\(-\)0.090} \\  & & \multicolumn{3}{c}{Green\_harv} & \multicolumn{3}{c}{2.106} & \(-\)0.090} & \multicolumn{3}{c}{0.623} \\ \hline \multicolumn{11}{c}{} & \multicolumn{3}{c}{**Colllinearity Diagnostics \({}^{\mathbf{a}}\)**} \\ \hline \multirow{3}{*}{**Model**} & \multirow{3}{*}{**Dimension**} & \multirow{3}{*}{**Eigenvalue**} & \multicolumn{3}{c}{**Condition**} & \multicolumn{3}{c}{**Variance proportions**} \\  & & & **Index** & **(Const.)** & **Cereals** & **Green_harv** & **Uncultiv.** \\ \hline \multirow{4}{*}{1} & 1 & 3.748 & 1.000 & 0.00 & 0.00 & 0.00 & 0.00 \\  & 2 & 0.232 & 4.021 & 0.00 & 0.00 & 0.18 & 0.02 \\ \cline{1-1}  & 3 & 0.017 & 15.020 & 0.00 & 0.65 & 0.61 & 0.13 \\ \cline{1-1}  & 4 & 0.003 & 33.693 & 1.00 & 0.35 & 0.20 & 0.85 \\ \hline \hline \end{tabular}  
\({}^{\mathbf{a}}\) Dependent Variable: Organic_farm.  
\end{table} 
Table 4: Coefficients estimation and collinearity diagnostics. that there is no multicollinearity in this data, but not very important collinearity exists between two of the predictors (_Cereals_ and _Green_harv_). This collinearity is not sensible as to remove one of the variables from the proposed model. Thus, the alternative hypothesis, H1, is accepted. H1 stands that organic farming is represented especially by cereals and green harvested plants. Organic farming loses a lot of profit because of the uncultivated land. The farmers should use all the land available and plant organically and adequate management in this field is required. In the context of supply chains in Romanian agriculture, the phenomenon of integration is manifested more in the sphere of vegetable and animal production, vegetable residues, or even important parts of plant production being intended to feed meat animals, in particular, in the form of fodder. The propagating material is the subject of reproduction only in model greenhouses or farms that comply with high standards in the preservation and improvement of the quality of the genetic background.