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Advisor(s)
Abstract(s)
Sustainable and adjusted soil management practices are crucial for soil quality, namely in
terms of the nutrient budget. On the other hand, soil characteristics are interlinked with agricultural
sustainability and food supply. In other words, soil quality influences agricultural performance and
food chains, but it is also impacted by agricultural activities. In this context, this research aims to
evaluate the spatial correlations of the soil nutrient balance around the world and analyse how this
variable is interrelated with agricultural soil emissions, agricultural output, and food supply. To
achieve these goals, data from the FAOSTAT database were considered. This statistical information
was analysed with spatial autocorrelation approaches to identify spatial clusters around the world
that can be considered as a basis for designing common policies. To perform panel data regressions
to identify marginal effects between variables, data were first evaluated using correlation matrices
and factor analysis. The results highlight that there is space for common strategies worldwide to
preserve soil quality, as in some parts of the world the problems are similar. In these frameworks, the
international organizations may have a determinant contribution.
Description
Keywords
spatial autocorrelation matrices of correlation factor analysis panel data regressions
Pedagogical Context
Citation
Publisher
MDPI