Kenya | 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 Kenya
Records
63
Source
Kenya | Forest rents (% of GDP)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970 3.25750934
1971 2.5344394
1972 2.35610639
1973 3.37332677
1974 3.30401611
1975 4.18063492
1976 3.69355964
1977 5.03042248
1978 4.64496676
1979 4.05403029
1980 4.14162691
1981 3.86824622
1982 5.75922899
1983 4.18422219
1984 3.90773507
1985 3.24806156
1986 4.11705807
1987 3.88728467
1988 3.91244747
1989 4.18713263
1990 4.96023461
1991 5.19736047
1992 5.37708046
1993 6.76151187
1994 6.32746298
1995 7.28361844
1996 5.48181943
1997 4.72565188
1998 4.52959902
1999 3.25915161
2000 3.29393127
2001 3.11757536
2002 3.71038197
2003 5.07217124
2004 4.11923475
2005 4.07052244
2006 2.94129729
2007 3.57503263
2008 3.63094993
2009 3.22119719
2010 2.58974019
2011 2.84004407
2012 2.75441906
2013 2.60001882
2014 2.61747761
2015 2.70047905
2016 2.64961337
2017 2.30924921
2018 1.35539656
2019 1.22058178
2020 1.26700198
2021 1.22226615
2022

Kenya | 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 Kenya
Records
63
Source