Hungary | Forest rents (% of GDP)

Forest rents are roundwood harvest times the product of regional prices and a regional rental rate. Development relevance: Accounting for the contribution of natural resources to economic output is important in building an analytical framework for sustainable development. In some countries earnings from natural resources, especially from fossil fuels and minerals, account for a sizable share of GDP, and much of these earnings come in the form of economic rents - revenues above the cost of extracting the resources. Natural resources give rise to economic rents because they are not produced. For produced goods and services competitive forces expand supply until economic profits are driven to zero, but natural resources in fixed supply often command returns well in excess of their cost of production. Rents from nonrenewable resources - fossil fuels and minerals - as well as rents from overharvesting of forests indicate the liquidation of a country's capital stock. When countries use such rents to support current consumption rather than to invest in new capital to replace what is being used up, they are, in effect, borrowing against their future. Statistical concept and methodology: The estimates of natural resources rents are calculated as the difference between the price of a commodity and the average cost of producing it. This is done by estimating the price of units of specific commodities and subtracting estimates of average unit costs of extraction or harvesting costs. These unit rents are then multiplied by the physical quantities countries extract or harvest to determine the rents for each commodity as a share of gross domestic product (GDP).
Publisher
The World Bank
Origin
Hungary
Records
63
Source
Hungary | Forest rents (% of GDP)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991 0.29524074
1992 0.28854058
1993 0.23595539
1994 0.163189
1995 0.16523335
1996 0.13473222
1997 0.14880015
1998 0.12733005
1999 0.15669674
2000 0.1764199
2001 0.13086621
2002 0.09965148
2003 0.09828999
2004 0.0870439
2005 0.08193435
2006 0.09563609
2007 0.09465881
2008 0.09143229
2009 0.09478742
2010 0.10165057
2011 0.12956645
2012 0.12439283
2013 0.11957308
2014 0.10761615
2015 0.10211116
2016 0.09113469
2017 0.11135538
2018 0.10503512
2019 0.09245601
2020 0.08430974
2021 0.0781134
2022

Hungary | Forest rents (% of GDP)

Forest rents are roundwood harvest times the product of regional prices and a regional rental rate. Development relevance: Accounting for the contribution of natural resources to economic output is important in building an analytical framework for sustainable development. In some countries earnings from natural resources, especially from fossil fuels and minerals, account for a sizable share of GDP, and much of these earnings come in the form of economic rents - revenues above the cost of extracting the resources. Natural resources give rise to economic rents because they are not produced. For produced goods and services competitive forces expand supply until economic profits are driven to zero, but natural resources in fixed supply often command returns well in excess of their cost of production. Rents from nonrenewable resources - fossil fuels and minerals - as well as rents from overharvesting of forests indicate the liquidation of a country's capital stock. When countries use such rents to support current consumption rather than to invest in new capital to replace what is being used up, they are, in effect, borrowing against their future. Statistical concept and methodology: The estimates of natural resources rents are calculated as the difference between the price of a commodity and the average cost of producing it. This is done by estimating the price of units of specific commodities and subtracting estimates of average unit costs of extraction or harvesting costs. These unit rents are then multiplied by the physical quantities countries extract or harvest to determine the rents for each commodity as a share of gross domestic product (GDP).
Publisher
The World Bank
Origin
Hungary
Records
63
Source