Filters
Forest land purchasing by forest districts of the Regional Directorate of the State Forests in Toruń in the light of applicable legal regulations
XI Konferencja Ekonomiczno-Leśna: Nowoczesne zarządzanie gospodarką leśną w świetle kryzysu energetycznego
Environmental, Social, and Governance (ESG) Clustering of EU Forest Policies in the Context of the 2030 New Forest Strategy
In the face of climate challenges and growing social inequalities, ESG (Environmental, Social, Governance) has become a key framework for sustainable development. Within the EU, forestry—covering about one third of Europe—is increasingly addressed through ESG principles in the 2030 New EU Forest Strategy (NSF 2030). This study aims to systematize the diversity and similarities of EU Member States’ forest policies using ESG indicators aligned with NFS 2030 objectives. We do not assess policy outcomes but rather identify clusters of countries with similar forest-economy profiles to fill a research gap and support more coherent strategies. Using hierarchical clustering on selected ESG indicators, we find very high variability in EU forest policies. The results confirm that NFS 2030 can serve as an analytical tool to identify clusters of countries with similar ESG profiles and tailor policies to their contexts. The identification of eight clusters per ESG segment underscores the need for a differentiated, flexible approach to achieving common EU forest objectives. Despite similarities within clusters, diverse economic, environmental, and social conditions often require differentiated policies tailored to each country’s unique context.
Cost of Regeneration of Scots Pine (Pinus sylvestris L.) Crops in National Forests
Silvicultural processes are an essential issue of rational forest management. Both man-made (artificial) and natural restoration methods are used in European forestry. A study of the cost drivers of forest restoration from the early stages of land clearing to cultivation was conducted for Scots pine tracts in a coniferous forest habitat. The cost data were tested for homogeneity of variance (Levene’s test) and normality (Shapiro–Wilk test) using a significance level of α = 0.05. The research indicated that the cost of artificial restoration (planting) of a pine forest is about 30% higher than the cost of natural restoration. The research also indicated that the main cost driver (about 35%) of the artificial restoration process was seedlings and planting costs. Further, the viability of supplementing natural planting with artificial planting was confirmed.