ANNEX 3: ESTIMATES OF ECONOMIC VALUES OF FOREST BENEFITSA3.1
Table A3.1. - Watershed values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1965 |
Slovakia |
2,000 |
US$/ha/year |
Avalanche protection |
Blahouts, 1965 (quoted in FAO, 1995) |
1970-72 |
Slovakia |
6 |
US$/ha/year |
Avg. soil loss 26 m3/ha/year (for water erosion) |
Pasak, 1970, 1972 (quoted in FAO, 1995) |
1970-72 |
Slovakia |
1.5-12 |
US$/ha/year |
This is for wind erosion |
As above |
1970-72 |
Slovakia |
40 |
US$/ha/year |
Includes soil conservation |
As above |
1989 |
Paute, Ecuador |
54 |
US$/ha/year |
Structural measures to keep sedimentation control & protection of remaining forests; reforestation. Real discount rate = 6% |
Southgate and Macke, 1989 (quoted in Chomitz & Kumari, 1996) |
1989 |
Korup National Park, Cameroon |
8 |
US$/ha |
Benefit imputed based on crop productivity decline from soil loss which would take effect from 2010 onwards (the w/o project scenario) |
Rutenbeek, 1989a (quoted in Pearce & Moran, 1994) |
1989 |
Korup National Park, Cameroon |
23 |
US$/ha |
An imputed value of the expected loss from flooding resulting from alternative land use from 2010 onwards: NPV of expected value of loss by 2040 |
As above |
1989 |
Korup National Park, Cameroon |
54 |
US$/ha |
Arising from sustained use of the Korup forest. Existence of watershed functions affording protection to Nigerian and Cameroonian fisheries. NPV assuming that the benefit starts to accrue in 2010 and beyond (2010 represents the time horizon by which the continued use of the forest resources - in the absence of protection - would start to exhaust resources. The imputed benefit stream therefore represents the continued existence of resources). |
As above |
1991 |
Lower Agno, Philippines |
234-586 (10% discount rate) 68-218 (15% discount rate) |
US$/ha |
Gully control, vegetation management in already deforested area |
Briones, 1991 (quoted in Chomitz & Kumari, 1996) |
1993 |
Costa Rica |
a. 0.25-2 b. 2.3-4.6 c. 4.0-9.0 d. 10-20 |
US$/ha |
Rough estimates of environmental values from primary forests - Hydrological benefits: a. protection of agricultural lands b. urban water supply c. flood control d. loss of hydroelectric productivity |
Kishor & Constantino, 1993 |
Table A3.2. - Conservation/Biodiversity values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1990 |
USA |
1.2 |
US$/year/person |
Endangered species and prized habitats: whooping crane |
Pearce and Moran, 1994 (table 4.2: p. 40) |
1990 |
USA |
4.5 |
US$/year/person |
Endangered species and prized habitats: emerald shiner |
As above |
1990 |
USA |
7 |
US$/year/person |
Endangered species and prized habitats: bottlenose dolphin |
As above |
1990 |
USA |
8.1 |
US$/year/person |
Endangered species and prized habitats: California sea otter |
As above |
1990 |
USA |
8.1 |
US$/year/person |
Endangered species and prized habitats: Northern elephant seal |
As above |
1990 |
USA |
8.6 |
US$/year/person |
Endangered species and prized habitats: bighorn sheep |
As above |
1990 |
USA |
9.3 |
US$/year/person |
Endangered species and prized habitats: blue whale |
As above |
1990 |
USA |
9.3-21.2 |
US$/year/person |
Colorado Wilderness |
As above |
1990 |
USA |
18.5 |
US$/year/person |
Endangered species and prized habitats: grizzly bear |
|
1990 |
USA |
27 |
US$/year/person |
Grand Canyon (visibility) |
As above |
1990 |
USA |
40-48 (w/o information) 49-64 (w/information) |
US$/year/person |
Endangered species and prized habitats: humpback whales |
As above |
1990 |
Australia |
28.1 |
US$/year/person |
Nadgee Nature Reserve, NSW |
As above |
1990 |
Australia |
40 |
US$/year/person |
Kakadu conservation (minor damage) |
As above |
1990 |
Australia |
93 |
US$/year/person |
Zone, N.T. (major damage). Two scenarios of mining development damage were given to respondents |
As above |
1990 |
Norway |
10.5 |
US$/year/person |
Endangered species and prized habitats: brown bear, wolf and wolverine |
As above |
1990 |
Norway |
59.0-107.0 |
US$/year/person |
Conservation of rivers |
As above |
1990 |
UK |
40 |
US$/year/person |
Nature reserves - survey of informed "expert" individuals only |
As above |
1992 |
Sweden |
12 |
US$/ha/year |
Includes soil conservation |
Hultkrantz, 1992 (quoted in FAO, 1995) |
Table A3.3. - Tourism values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1981 |
Charles River, Massachusetts, USA |
3,400 |
US$/acre |
Present value per acre at 8% (1990 US$) |
Thibodeau & Ostro, 1981 (quoted in Pearce and Moran, 1994, table 6.1: pp. 86-91) |
1989 |
Korup National Park, Cameroon |
19 |
US$/ha |
Tourism value |
Rutenbeek, 1989a (as above) |
1989 |
Louisiana Wetlands, USA |
57 |
US$/acre |
WTP present value at 8% (1990 US$) |
Costanza et al., 1989 (as above) |
1990 |
Louisiana Wetlands, USA |
103 |
US$/acre |
WTP present value at 8% (1990 US$) |
Bergstrom et al., 1990 (as above) |
1991 |
Monteverde Cloud Forest, Costa Rica |
1,250 |
US$/ha |
Average visitor valuation US$35 (1988 US$). Considering national and foreign visitors gives this value per hectare in the reserve relative to the market price of local non-reserve land of US$30-100/ha |
Tobias and Mendelsohn, 1991 (as above) |
1993 |
Costa Rica |
12.56-25.12 |
US$/ha |
Average annual dollar per hectare (1989 US$) |
Kishor and Constantino, 1993 |
1994 |
Costa Rica |
17 |
US$/ha |
At 8% discount rate |
World Bank, 1994 |
1989/91 |
El Triunfo, Chiapas, Mexico |
0.02-0.09 |
revenue/year/ha (US$) |
Ecotourists - Biosphere Reserve |
Touval, 1992 (quoted in CSERGE, 1993, Annex 1: p. 44) |
1989/93 |
Sian Ka’an, Quintana Roo, Mexico |
0.11 |
revenue/year/ha (US$) |
Ecotourists - Biosphere Reserve |
Amigos de Sian Ka’an a.c. (as above) |
1984/87 |
Izta-Popo, Morelos, Puebla, Mexico |
225 |
revenue/year/ha (US$) |
Multipurpose tourists - National Park |
Boo, 1990 (as above) |
1992/93 |
Arrareko Lake, Chihuahua, Mexico |
1.24-1.65 |
revenue/year/ha (US$) |
Multipurpose tourists - Complejo Ecoturistico Ejidal |
Comisión de Defesa de los Derechos Humanos, A.C., Creel (as above) |
1986/92 |
Mariposa Monarca, Michohacán, Mexico |
14.7-88.4 |
revenue/year/ha (US$) |
Multipurpose tourists - Special Biosphere Reserve |
SEDESOL (as above) |
1992 |
Barranca del Cobre, Chihuahua, Mexico |
0.40-1.01 |
revenue/year/ha (US$) |
Multipurpose tourists - Declared as National Park |
SECTUR, Acuerdo Mexico Alemania, Author’s Survey (as above) |
Table A3.4. - Non-wood forest products (NWFPs) values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1981 |
Ecuadorian Amazon |
120 |
US$/ha/year |
Values wildlife over 500 km2 |
Paucar & Gardner, 1981 (quoted in Godoy & Lubowski, 1992, Table 1: p. 425) |
1987 |
Sarawak, East Malaysia |
8 |
US$/ha/year |
Values wildlife over 1 km2 |
Caldecott, 1987 (as above) |
1989 |
Iquitos, Peru |
16-22 |
US$/ha/year |
Based partly on community diaries; flora only |
Padoch & de Jong, 1989 (as above) |
1989 |
Jenaro Herrera, Peru |
167 |
US$/ha/year |
Wild camu camu only; unclear whether net or gross |
Peters, 1989 (as above) |
1989 |
Amazon, Peru |
6,820 |
US$/ha |
Sustainable harvesting in 1 ha (timber + NWFPs), local market values. This value is higher than any other use, according the authors, e.g. clear-felling = US$1,000/ha; plantations for timber = US$3,184/ha and cattle ranching = US$2,960/ha |
Peters, Gentry & Mendelsohn, 1989 |
1989 |
Veracruz, Mexico |
116 |
US$/ha/year |
Flora only, excluding lumber and coffee |
Alcom, 1989 (as above) |
1989 |
San Luis Potosi, Mexico |
1,537 |
US$/ha/year |
Te’lom grove with coffee. Net of costs |
CSERGE, 1993, Table 2: p. 7 (main report) |
1989 |
San Luis Potosi |
330 |
US$/ha/year |
Te’lom grove without coffee. Net of costs |
As above |
1989 |
San Luis Potosi |
401 |
US$/ha/year |
Net of costs, half the product marketed |
As above |
1989 |
San Luis Potosi |
20.3 |
US$/ha/year |
Building materials. Net of costs |
As above |
1989 |
San Luis Potosi |
51.7 |
US$/ha/year |
Medicines. Cost of avoided doctor visits |
As above |
1989 |
San Luis Potosi |
14.5 |
US$/ha/year |
Fuelwood. Shadow price of labour method |
As above |
1989 |
Yucatan (chicle forests), Mexico |
4.9 |
US$/ha/year |
Average for 3 ejidos in Quintana Roo (net of costs) |
As above |
1989 |
Pine forests, Mexico |
3.1-281 |
US$/ha/year |
Costs not subtracted, 1 sp only |
As above |
1989 |
Quintana Roo |
9.0 |
US$/ha/year |
One ejido |
As above |
1989 |
all Mexico |
0.01 |
US$/ha/year |
Indicative only |
As above |
1989 |
Chiapas |
0.02 |
US$/ha/year |
Indicative only |
As above |
1989 |
Rain forest, Peten, Guatemala |
3.3 |
US$/ha/year |
Estimate for Peten |
As above |
Table A3.4 continues
Table A3.4 continued.
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1989 |
Kalimantan, Indonesia |
53 |
US$/ha/year |
Net present value of cultivated rattan is US$529/ha over 25 years with a real discount rate of 10% |
Godoy & Feaw, 1989 (quoted in Godoy & Lubowski, 1992, Table 1: p. 425) |
1989/91 |
Ituri Forest, Zaire |
3.18-0.50 |
US$/ha/year |
318 kg of game/km2 of primary forest or 50 kg/km2 in climax forest at US$1/kg. Estimate leaves out costs. Price is for prized meats |
Wilkie, 1989; Wilkie & Curran, 1991 (as above) |
1989 |
Mudumalal Sanctuary, South India |
3 |
US$/ha/year |
0.02 domesticated elephants/ha at US$1,500/elephant. Excludes costs of domestication and training; a 10% discount rate is assumed |
Sukumar, 1989 (as above) |
1989 |
Amazon, Brazil |
4.80 |
US$/ha/year |
Gross return/ha/year for flora only |
Schwartzman, 1989 (as above) |
1990 |
Pará, Brazil |
110 |
US$/ha/year |
Value after selective thinning of competitors and pruning of Açai palm |
Anderson, 1990b (as above) |
1991 |
Amazon, Brazil |
59 |
US$/ha/year |
Includes kernel, charcoal and feed meal of babassu palm; unclear whether net or gross |
Anderson et al., 1991 (as above) |
1 991 |
Zimbabwe |
75 |
US$/km2/year |
Estimate from the sale of elephant goods and services. The proportion attributed to sale of goods has fallen significantly since the imposition of an international ban on ivory sales |
Zimbabwe, Dept. of National Parks, 1991 (quoted in Pearce and Moran, 1994, Table 6.3: pp. 86-91) |
1991 |
Hantana, Sri Lanka |
50 |
US$/ha/year |
50 randomly chosen households surveyed in three villages; used contingent valuation and opportunity cost approach; estimate excludes cost of extraction; flora only |
Abeygunawardena & Wickramasinghe, 1991 (as above) |
1991 |
Venezuela |
0.75 |
US$/ha/year |
Experimental caiman harvest |
Thorbjarnarson, 1991 (as above) |
1992 |
Sweden |
8 |
US$/ha/year |
NWFP |
Hultkrantz, 1992 (quoted in FAO, 1995, Table 3: p. 9) |
1993 |
Poland |
3.6 |
US$/ha/year |
NWFP |
SAR Poland, 1993 (as above) |
1994 |
Upper Napo region of Amazonian, Ecuador |
2,939 |
NPV/ha (US$) |
The potential net present values (NPV) per ha from NWFP in the Upland Plot A |
Grimes et al. 1994, Table 5: p. 409 |
1994 |
As above |
2,721 |
NPV/ha (US$) |
The potential net present values (NPV) per ha from NWFP in the Upland Plot B |
As above |
1994 |
As above |
1,257 |
NPV/ha (US$) |
The potential net present values (NPV) per ha from NWFP in the Alluvial Plot C |
As above |
Table A3.5. - Existence and option values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1993 |
Mexico |
Low 1 Medium 6 High 90 |
US$/ha/year |
Option value of pharmaceuticals from Mexico’s forests |
CSERGE, 1993, Table 4: p. 15 (main report) |
1993 |
Selva Lacandona; Montes Azules, Chiapas, Mexico |
10.38 |
WTP/ha (US$) |
Debt-for-Nature Swap. Conservation International |
Tajbakhsh, 1993 (as above) |
1993 |
Sian Ka’an Biosphere Reserve, Quintana Roo, Mexico |
0.06 0.05 |
WTP/ha (US$) |
The first figure is the total amount of donations for 1992; Sian Ka’an report that only 10% of donors have actually visited the reserve |
Amigos de Sian Ka’an (as above) |
1993 |
Barranca del Cobre, Chihuahua, Mexico |
4.4 |
WTP/ha (US$) |
A survey carried out in Barranca del Cobre suggests a WTP/person/year related to existence value of US$1.82. Multiplying this by the number of visitor per annum (55,000 in 1992) gives a total of US$100,100; and at a 5% discount rate, a present value of US$4.4 |
Author’s Survey (as above) |
1993 |
Mexico (several areas) |
0.029 |
WTP/ha (US$) |
Areas involved in the calculation are those contained in a World Resources Institute, Washington, D.C. |
Abramovitz, 1991 (as above) |
1994 |
Costa Rica |
24 |
US$/ha/year (8% discount rate) |
World Bank, 1994 |
|
1994 |
Slovenia |
27 |
US$/ha/year |
Ayres & Dixon, 1994 (quoted in FAO, 1995) |
|
1989 |
Cameroon |
0.19-0.65 |
Avg. US$/ha |
Expected production value approach. Option value. (1989 US$) |
Ruitenbeek, 1989 (quoted in Kishor & Constantino, 1994, Table 6) |
19?? |
Costa Rica |
0.15 |
Avg. US$/ha |
Expected production value approach. Option value. (1989 US$) |
Kishor & Constantino, 1994, Table 6 |
19?? |
Guanacaste, Costa Rica |
12.8-32.0 |
Avg. US$/ha |
Transfer-of-Funds. Donations from international + domestic agencies + debt-for-nature swaps. Existence & Option Values. (1989 US$) |
As above |
1984 |
Colorado, USA |
i. 2.5-9.1 ii. 3-11.1 iii. 3.1-11.3 |
Avg. US$/ha |
(i) option; (ii) existence and (iii) bequest values for Colorado Wilderness areas. CVM of 218 Colorado households via mail surveys. Consumer surplus, $/family/year, 1980 US$ |
Walsh et al., 1984 (as above) |
. Table A3.5 continues
Table A3.5 continued.
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
199? |
Khao Yai Park, Thailand |
21.6 |
Avg. US$/ha |
National Park. Existence & option values |
Dixon and Sherman, 19?? (as above) |
1988 |
USA |
21-149 |
Avg. US$/ha |
Total, nonconsumption WTP for preserving the Whooping crane. CVM, dichotomous choice model. 1983 US$/household/year |
Bowker and Stoll, 1988 (as above) |
1983 |
5.5-9.9 |
Avg. US$/ha |
WTP for proposed national park. CVM. 1982 US$/household/year |
Majid et al., 1983 (as above) |
|
19?? |
Costa Rica |
0.15 |
US$/ha |
Future Pharmaceuticals. Option value |
Kishor & Constantino, 1993, Table 5 |
19?? |
Mexico |
6.4 |
US$/ha |
Estimated option value for Mexican tropical evergreen forests |
Adger et al., 1995, Table 7: p. 294 |
19?? |
??? |
10-25 |
US$/household/year |
Fragile forests. |
Wibe, 1995, Table 3: p. 15A3.2. |
19?? |
??? |
17 |
As above |
Endangered species |
As above |
19?? |
??? |
40 |
As above |
Spotted owl |
As above |
19?? |
??? |
20-22 |
As above |
Bald eagle |
As above |
19?? |
??? |
12 |
As above |
Wild turkey |
As above |
19?? |
??? |
4 |
As above |
Coyote control |
As above |
19?? |
??? |
5 |
As above |
Coyote preservation |
As above |
19?? |
??? |
61-106 |
As above |
Wilderness |
As above |
19?? |
??? |
62 |
As above |
Recreation forests |
As above |
Notes: WTP = willingness to pay; CVM = contingent valuation method; Avg. = Average.
Table A3.6A. - Carbon sequestration values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1992 |
Sweden |
0.13 |
US$/kg carbon |
Hultkrantz, 1992 (quoted in FAO, 1995, Table 3: p. 9) |
|
1993 |
USA |
30 |
US$/tonne |
Net carbon sequestered |
SAR Poland, 1993 (as above) |
1993 |
Costa Rica |
60-120 |
Average US$/ha |
1989 US$ |
Kishor & Constantino, 1993 |
1994 |
Costa Rica |
68 |
US$/ha/year |
Value at 8% discount rate |
World Bank, 1994, Table A4.1: p. 4 |
19?? |
CARE/Guatemala |
0.05-0.23 |
US$/tonne |
Faeth et al., 1994, Table 1: p. 7 |
|
19?? |
PDA/Thailand |
7.93-10.8 |
US$/tonne |
As above |
|
19?? |
ANCON/Panama |
0.35-2.43 |
US$/tonne |
As above |
|
19?? |
UCEFO/Mexico |
1.06-1.20 |
US$/tonne |
As above |
|
19?? |
KMTNC/Nepal |
13.64-16-14 |
US$/tonne |
As above |
|
19?? |
Oxfam/Amazon |
0.03-0.06 |
US$/tonne |
As above |
|
1995 |
Mesopotamia, Argentina |
5.56 |
US$/tonne |
Cost/tonne of carbon sequestration in industrial/silvo-pastoral plantation (25 years, 20,000 ha/year, harvesting) |
Sedjo and Ley, 1995, Table 12: p. 47 |
1995 |
Mesopotamia, Argentina |
3.44 |
US$/tonne |
Cost/tonne of carbon sequestration in industrial/silvo-pastoral and associated wood stocks (25 years, 20,000 ha/year, harvesting) |
As above |
1995 |
Mesopotamia, Argentina |
13.74 |
US$/tonne |
Cost/tonne of carbon sequestration in mixed species plantation (5 years, 20,000 ha/year, no harvesting) |
As above |
1995 |
Patagonia, Argentina |
7.6-5.36 |
US$/tonne |
Cost/tonne of carbon sequestration in industrial plantation (5 years, 20,000 ha/year, no harvesting). Years 2020 and 2070, respectively |
As above |
1995 |
Patagonia, Argentina |
21.95-7.87 |
US$/tonne |
Cost/tonne of carbon sequestration in mixed species plantation (5 years, 20,000 ha/year, no harvesting). Years 2020 and 2070, respectively |
As above |
Notes: CARE (uses acronym; now registered as Cooperative for Assistance and Relief Everywhere); PDA = The Population and Development Association; ANCON = Asociación Nacional para la Conservación de la Naturaleza; KMTNC = King Mahendra Trust for Nature Conservation, UCEFO = Union de Communidades y Ejidos Forestales de Oaxaca.
Table A3.6B. - Private sector carbon offset deals
Company |
Project |
Other participation |
Million t C sequestered or reduced |
Total cost $ (millions) |
$/t C sequestered (for a, b, c, see notes) |
AES |
Agro-forestry, Guatemala |
US CARE Govt. of Guatemala |
15-58 over 40 years |
15 |
a) 0.5-2 b) 1-4 c) 9 |
AES |
Natural reserve Paraguay |
US Nature Conservancy FMB |
13 over 30 years |
6 |
a) 0.2 b) 0.45 c) <1.5 |
AES |
Secure land tenure, sustainable agriculture Bolivia, Peru, Ecuador |
Other utilities giving consideration to deal |
na |
2 |
na |
SEP |
Reforestation: Netherlands Czech Republic Malaysia Ecuador Uganda Indonesia |
Innoprise |
0.9 3.1 6.3 9.7 7.2 6.8 |
20 30 15.7 17.3 8.0 21.17 |
b) 22.7 b) 9.7 b) 2.5 b) 1.8 b) 1.1 b) 3.2 |
Tenaska and others |
Reforestation Russia |
EPA, Trexler, Min. of Ecology, Russian Forest Service |
0.5 over 25 years |
0.5? |
a) na b) 1 c) 1-2 |
Tenaska |
Forest conservation in Costa Rica, Reforestation in Washington State |
Other utilities giving consideration |
na |
5+ |
b) 43 |
PacifiCorp |
Forestry Oregon |
Trexler |
0.06 pa |
0.1 pa |
a) na b) na c) 15-30 |
PacifiCorp |
Urban trees Utah |
Trexler TreeUtah |
? |
0.1 pa |
a) na b) na c) 15-30 |
New England PC |
Forestry Malaysia |
Rain Forest Alliance, COPEC |
0.1-0.15 |
0.45 |
a) na b) 3-4.5 c) na |
New England PC |
Methane recovery in Appalachians |
na |
na |
na |
na |
Wisconsi Elec. Power; NIPSCO Ind; Edison Dev. Co. |
Coal to gas conversion |
Bynov Heating Plant Decin, Czech Republic |
12,800 tpa? |
1.5 |
b) 43 |
Source: Pearce, 1994 (quoted in Steele and Pearce, 1996, table 5: p. 55). CO2 converted to C at 3.67:1. Dutch guilders converted to US$ at DG1.75 per $.
Notes: a) Assumes 10 percent discount rate applied to total cost to obtain an annuity which is then applied to carbon fixed per annum, assuming equal distribution of carbon sequestered over the time period indicated; b) assumes no discounting; c) cost per tonne C as reported in Dixon et al., 1993.
Table A3.7. - Recreation values
Year |
Locality |
Value estimated (see Unit) |
Unit of value |
Comments |
Source |
1965 |
USA |
26 |
Mean value/activity day |
Camping. Travel cost method (TCM). 1990 US$ |
Kalter & Gosse, 1969 (quoted in Wibe, 1995) |
1965 |
USA |
64.2 |
As above |
Hiking. TCM. 1990 US$ |
As above |
1969-70 |
USA |
39-68 |
As above |
Deer hunting. Contingent valuation method (CVM). 1990 US$ |
Capel and Pandey, 19?? (as above) |
1977 |
Denmark |
7-14 |
As above |
Recreation. TCM. 1990 US$ |
Christensen, 1984 (as above) |
1980 |
USA |
37-42 |
As above |
Recreation. TCM. 1990 US$ |
Haspel & Johnson, 1982 (as above) |
1980 |
USA |
26 |
As above |
Recreation. TCM. 1990 US$ |
Mendelsohn et al., 1993 (as above) |
1986 |
Sweden |
WTP = 675 WTA = 1584 |
As above |
Moose hunting. CVM. 1990 US$ |
Mattsson & Kriström, 1987 (as above) |
1985 |
USA |
13-26 |
As above |
Recreat ion. CVM. 1990 US$ |
Brown et al., 1989 (as above) |
1987 |
UK |
CVM = 2 TCM = 4 |
As above |
Recreation. CVM and TCM. 1990 US$ |
Hanley, 1989 (as above) |
1987 |
UK |
3-5 |
As above |
Recreation. TCM. 1990 US$ |
Willis and Benson, 1989 (as above) |
1987 |
USA |
48 |
As above |
Hunting. TCM. 1990 US$ |
Glass and More, 1992 (as above) |
1987-88 |
Denmark |
2 |
As above |
Recreation. CVM. 1990 US$ |
Linddal & Sondergaard-Jensen, 1991 (as above) |
1988 |
UK |
TCM = 1-2 CVM = 0.3-2 |
As above |
Recreation. TCM and CVM. 1990 US$ |
Willis & Garrod, 1991 (as above) |
1988 |
Finland |
45 |
As above |
Moose hunting. CVM. 1990 US$ |
Ovaskainen et al., 1991 (as above) |
1988 |
Norway |
WTP = 59 WTA = 123 |
As above |
Moose hunting. CVM. 1990 US$ |
Södal, 1989 (as above) |
1989 |
USA |
5 |
As above |
Recreation. CVM. 1990 US$ |
Halstead et al., 1990 (as above) |
1989 |
USA |
WTP = 262 WTA = 1082 |
As above |
Recreation. CVM. 1990 US$ |
Brown & Hammade, 1992 (as above) |
1990 |
Norway |
82 |
As above |
Moose hunting. CVM. 1990 US$ |
Schei, 1991 (as above) |
1991 |
Sweden |
52 |
As above |
Recreation. CVM. 1990 US$ |
Bostedt & Mattsson, 1992 (as above) |
Notes: WTP = willingness to pay; WTA = willingness to accept. Note that the estimated WTA is 2-3 times higher than the WTP.
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