The Economic Monitoring Network for Private Forests in Hungary

Abstract

The private forestry sector in Hungary was reintroduced in the early 1990s, as a part of the initial economic reform package aimed at transforming the economy from central planning to a market economy. The fundamental changes required a complete restructuring of the forestry sector, which is still going on, with sound information becoming ever more important. The Economic Monitoring Network for Private Forests in Hungary (EMN-PF) is supporting a price and cost reference database, financial analysis of forestry processes, forestry holding analysis and estimation of the economic output of the private forestry sector. Each output is based on data collecting methods that are balanced between accuracy and ease of data collection. EMN-PF applies surveys and uses open databases as data sources. Forest owners' and integrators' estimates are an easy way of collecting data, but the accuracy of data is difficult to control. The analysis of forest holdings can be based on the annual financial reports of forest enterprises with pure forest activity. These reports are already existing documents, which therefore are easy to collect in large numbers, but do not provide highly detailed data. Based on the National Forest Inventory and the results of the financial analysis, the economic output of the private forestry sector can be estimated.

Investment Analysis of a Joint Forest and Game Management – A Case Study from Croatian Dinarides

“…In the ideal case, sustainable development motives will come first, i.e., allowable cut is defined and equals the increment, and the economic motives will come second, exclusively as a result of the utilization of the allowable cut. The investment potential of privately owned forests has been analysed in many previous studies, such on a local scale (Krajter et al 2015, Posavec et al 2017, Beljan et al 2018b, Beljan et al 2020, in Croatia (Pukkala et al 2003), Finland (Sharp et al 2004), Australia (Schiberna et al 2011), Hungary (Moss and Hedderick 2012), USA (Toscani and Secot 2015) and on a global scale (Beljan et al 2022a). There is extensive literature on the market and non-market values in hunting demand using different methods and approaches, such as the Travel Cost Method (Knoche andLupi 2007, Fagarazzi et al 2021), Hedonic Pricing (Hussain et al 2007, Martinez-Jauregui et al 2015, Lozano et al 2021), Contingent Valuation (Boman et al 2011, Donnelly et al 2019, Discrete Choice Models (Delibes-Mateos et al 2014, Davis et al 2022).…”