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The efficiency of the possessed forest resources in relation to gross value added (GVA) produced in forestry of fourteen European Union member states (Austria, Bulgaria, Croatia, Czechia, Finland, France, Germany, Italy, Poland, Portugal, Slovakia, Slovenia and Sweden) in 2022 is assessed by means of Data envelopment analysis (DEA), an input-oriented BCC model with variable returns to scale (VRS). On this grounds is established that in the forestry of 7 EU member states (Austria (0,89), Bulgaria (0,71), Croatia (0...

The goal of present paper is to study the influence of investments and forest resources on gross value added in forestry. To achieve this goal are used comparable data from Eurostat for the period 2015-2022 for 12 European union (EU) member states: Austria, Bulgaria, Croatia, Czechia, Finland, France, Germany, Poland, Portugal, Romania, Slovakia and Sweden. A panel regression model with fixed time effects is specified. The dependent variable is the gross value added per hectare (euro/ha) and as regressors are used...