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