Cross-section and Spatial Approaches for the Agricultural Contexts in the 27 Countries of the European Union - The Agricultural Economics of the 21st Century - page 27

Fig. 3.10 Logarithm of the average LSU livestock among European Union countries

Fig. 3.11 Logarithm of the average production value at basic price (base year: 2005 100)

¼

Fig. 3.12 Logarithm of the average production value at producer price (base year: 2005 ¼ 100)

The following six figures (Figs. 3.13 , 3.14 , 3.15 , 3.16 , 3.17 , and 3.18 ) present the
values of Moran's I statistics for the global spatial autocorrelation (for the 27 coun-
tries considered). When the value of the Moran's I is positive/negative, this signifies
that the values of the variable considered in a determined location (in this case
country) are positively/negatively correlated with the values of the same variable
for neighboring locations (countries). If, the Moran's I statistics are zero, there isn't
spatial autocorrelation for the variable among the neighbors' locations. To measure
the proximity between neighboring countries, in this study we considered a matrix
of queen contiguity, considering only one neighbor country in all directions