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
1970 0.62611174
1971 0.51887818
1972 0.59456523
1973 1.19276631
1974 1.10998528
1975 1.13009658
1976 1.46097551
1977 1.57352559
1978 1.73764807
1979 2.07580718
1980 2.18419198
1981 1.45195654
1982 1.4637424
1983 1.20561328
1984 0.82855354
1985 0.79855397
1986 1.00700377
1987 1.11437578
1988 0.96732465
1989 0.92064933
1990 0.87434409
1991 0.85131124
1992 0.8792955
1993 0.8404868
1994 0.73175981
1995 0.7691463
1996 0.67654695
1997 0.50569158
1998 0.40692547
1999 0.25355763
2000 0.2227281
2001 0.21078967
2002 0.20640258
2003 0.24068905
2004 0.18870722
2005 0.14336251
2006 0.13853798
2007 0.18295318
2008 0.22537856
2009 0.19941844
2010 0.18863185
2011 0.16468577
2012 0.14142118
2013 0.12622441
2014 0.14238397
2015 0.09675152
2016 0.10346808
2017 0.12021378
2018 0.09732599
2019 0.0873021
2020 0.08602284
2021 0.07084338
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