China | 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
People's Republic of China
Records
63
Source
China | Forest rents (% of GDP)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
0.62611174 1970
0.51887818 1971
0.59456523 1972
1.19276631 1973
1.10998528 1974
1.13009658 1975
1.46097551 1976
1.57352559 1977
1.73764807 1978
2.07580718 1979
2.18419198 1980
1.45195654 1981
1.4637424 1982
1.20561328 1983
0.82855354 1984
0.79855397 1985
1.00700377 1986
1.11437578 1987
0.96732465 1988
0.92064933 1989
0.87434409 1990
0.85131124 1991
0.8792955 1992
0.8404868 1993
0.73175981 1994
0.7691463 1995
0.67654695 1996
0.50569158 1997
0.40692547 1998
0.25355763 1999
0.2227281 2000
0.21078967 2001
0.20640258 2002
0.24068905 2003
0.18870722 2004
0.14336251 2005
0.13853798 2006
0.18295318 2007
0.22537856 2008
0.19941844 2009
0.18863185 2010
0.16468577 2011
0.14142118 2012
0.12622441 2013
0.14238397 2014
0.09675152 2015
0.10346808 2016
0.12021378 2017
0.09732599 2018
0.0873021 2019
0.08602284 2020
0.07084338 2021
2022
China | 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
People's Republic of China
Records
63
Source