Cameroon | 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
Republic of Cameroon
Records
63
Source
Cameroon | Forest rents (% of GDP)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
3.90560807 1970
3.44997097 1971
3.40293941 1972
4.16426611 1973
4.46539197 1974
4.14873225 1975
4.29183538 1976
5.42768898 1977
4.4214619 1978
3.90817981 1979
3.96891552 1980
3.33871641 1981
4.01346417 1982
3.00921798 1983
2.60443231 1984
2.0423905 1985
2.06085181 1986
1.91423574 1987
2.09619955 1988
2.54661133 1989
3.22397778 1990
3.1154597 1991
3.05892303 1992
2.21108424 1993
4.6882856 1994
5.20894858 1995
4.94548169 1996
4.28866921 1997
3.44822742 1998
2.40117632 1999
2.66286512 2000
2.06877215 2001
2.20608145 2002
2.75767263 2003
1.96234361 2004
2.09014934 2005
2.31550758 2006
2.89838869 2007
2.90640886 2008
2.57099509 2009
2.65339641 2010
2.74867808 2011
2.95315624 2012
3.07549256 2013
3.19154878 2014
3.58476663 2015
3.68193627 2016
3.7493657 2017
2.963525 2018
2.64243978 2019
2.70013884 2020
2.57962248 2021
2022
Cameroon | 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
Republic of Cameroon
Records
63
Source