Measuring the value of information in multicriteria decisionmaking

Forest Science

Volumn 56, Issue 6, 2010, Pages 558-566

  Kangas, Annika S ^a   Horne, Paula ^b   Leskinen, Pekka ^c  

^a UNIVERSITY OF HELSINKI   (Finland)

^b Pellervon taloudellinen tutkimuslaitos   (Finland)

^c FINNISH ENVIRONMENT INSTITUTE   (Finland)

Author keywords

Bayesian decision analysis; Choice modeling; Contingent valuation; Multicriteria analysis

Indexed keywords

BAYESIAN DECISION ANALYSIS; CHOICE MODELING; CONTINGENT VALUATIONS; DECISION MAKERS; MARKET VALUES; MONETARY VALUE; MULTI CRITERIA ANALYSIS; MULTI CRITERIA DECISION MAKING; MULTIPLE OBJECTIVES; OPTIMAL CHOICE; POSSIBLE SOLUTIONS; PUBLIC GOODS; SUSTAINABLE FOREST MANAGEMENT; VALUE OF INFORMATION;

BAYESIAN NETWORKS; COST EFFECTIVENESS; DECISION MAKING; DECISION THEORY; FORESTRY; RATING;

COST BENEFIT ANALYSIS;

COST ANALYSIS; COST EFFECTIVENESS; DECISION MAKING; DECISION THEORY; FORESTRY; INFORMATION SYSTEMS; MARKET RESEARCH; RATING;

EID: 78650831652     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (57)

1. Ades, A.E., G. Lu, and K. Claxton. 2004. Expected value of sample information calculations in medical decision modeling. Med. Decis. Making 24(2):207-227.
2. Alho, J., and J. Kangas. 1997. Analysing uncertainties in experts' opinions of forest plan performance. For. Sci. 43:521-528.
3. Alho, J., J. Kangas, and O. Kolehmainen. 1996. Uncertainty in the expert predictions of the ecological consequences of forest plans. Appl. Stat. 45:1-14.
4. Alho, J.M., O. Kolehmainen, and P. Leskinen. 2001. Regression methods for pairwise comparisons data. P. 235-251 in The analytic hierarchy process in natural resource and environmental decision making, Schmoldt, D.L., J. Kangas, G.A. Mendoza, and M. Pesonen, (eds.). Kluwer Academic Publishers, Dordrecht, The Netherlands.
5. Álvarez-Farizo, B., and N. Hanley. 2006. Improving the process of valuing non-market benefits: Combining citizen juries with choice modeling. Land Econ. 82:465-478.
6. Amacher, G.S., A.S. Malik, and R.G. Haight. 2005. Nonindustrial private landowners, fires, and the wildland-urban interface. For. Policy Econ. 7:796-805.
7. Azondékon, S.H., and J.M. Martel. 1999. "Value" of additional information in multicriterion analysis under uncertainty. Eur. J. Oper. Res. 117:45-62.
8. Baral, N., M.J. Stern, and R. Bhattarai. 2008. Contingent valuation of ecotourism in Annapurna conservation area, Nepal: Implications for sustainable park finance and local development. Ecol. Econ. 66:218-237.
9. Bateman, I., R. Carson, B. Day, M. Hanemann, N. Hanley, T. Hett, M. Jones-Lee, G. Loomes, S. Mourato, E. Ozdemiroglu, D. Pearce, R. Sugden, and J. Swanson. 2002. Economic valuation with stated preference techniques. Edward Elgar, Cheltenham, UK.
10. Bennett, J. and R. Blamey. 2001. The Choice Modeling approach to environmental valuation. Edward Elgar, Cheltenham, UK.
11. Birchler, U. and M. Bütler. 2007. Information economics. Routledge Advanced Texts in Economics and Finance, London, UK. 462 p.
12. Bouma, J.A., H.J. van DER Woerd, and O.J. Kuik. 2009. Assessing the value of information for water quality management in the North Sea. J. Environ. Manag. 90:1280-1288.
13. Boxall, P.C., W.L. Adamowicz, J. Swait, M. Williams, and J. Louviere. 1996. A comparison of stated preference methods for environmental valuation. Ecol. Econ. 18:243-253.
14. Bruce, C. 2006. Can contingent valuation resolve the "adding-up problem" in environmental impact assessment? Environ. Impact Assess. Rev. 26:570-585.
15. Chalabi, Z., D. Epstein, C. McKenna, and K. Claxton. 2008. Uncertainty and value of information when allocating resources within and between healthcare programmes. Eur. J. Oper. Res. 191:530-539.
16. Diamond, P.A., and J.A. Hausman. 1994. Contingent valuation: Is some number better than no number? J. Econ. Persp. 8:45-64.
17. Duvemo, K. 2009. The influence of data uncertainty on planning and decision processes in forest management. Doctoral thesis, Faculty of Forest Sciences, Department of Forest Resource Management, Umeå, Acta Universitatis Agriculturae Sueciae. 60 p appendices.
18. Gamper, C.D., and C. Turcanu. 2007. On the governmental use of multi-criteria analysis. Ecol. Econ. 62:298-307.
19. Hajkowicz, S., R. Spencer, A. Higgins, and O. Marinoni. 2008. Evaluating water quality investment using cost utility analysis. J. Environ. Manag. 88:1601-1610.
20. Hanemann, W.M. 1984. Welfare evaluations in contingent valuation experiments with discrete responses. Am. J. Agric. Econ. 66:332-341.
21. Hanley, N. 2001. Cost-benefit analysis and environmental policymaking. Environ. Plan. C Gov. Policy 19:103-118.
22. Hanley, N., S. Mourato, and R.E. Wright. 2001. Choice modeling approaches: A superior alternative for environmental valuation? J. Econ. Surv. 15:435-461.
23. Hansjürgens, B. 2004. Economic evaluation through cost-benefit analysis-Possibilities and limitations. Toxicology 205:241-252.
24. Hiltunen, V., J. Kangas, and J. Pykäläinen. 2008. Voting methods in strategic forest planning-Experiences from Metsa ̈hallitus. For. Policy Econ. 10:117-127.
25. Hiltunen, V., M. Kurttila, P. Leskinen, K. Pasanen, and J. Pykäläinen. 2009. Mesta: An Internet-based decision-support application for participatory strategic-level natural resources planning. For. Policy Econ. 11:1-9.
26. Hirshleifer, J., and J.G. Riley. 1979. The analytics of uncertainty and information-An expository survey. J. Econ. Lit. 17:1375-1421.
27. Horne, P. 2006. Forest owners' acceptance of incentive based policy instruments in forest biodiversity conservation-A choice experiment based approach. Silva Fenn. 40:169-178.
28. Horne, P., P.C. Boxall, and W.L. Adamowicz. 2005. Multipleuse management of forest recreation sites: A spatially explicit choice experiment. For. Ecol. Manag. 207:189-199.
29. Joubert, A.R., A. Leiman, H.M. de Klerk, S. Katua, and J.C. Aggenbach. 1997. Fynbos (fine bush) vegetation and the supply of water: A comparison of multi-criteria decision analysis and the cost-benefit analysis. Ecol. Econ. 22:123-140.
30. Kangas, A. 2010. Value of forest information. Eur. J. For. Res. 129:863-874.
31. Kangas, A., J. Kangas, and M. Kurttila. 2008. Decision support for forest management. Vol. 16: Managing forest ecosystems. Springer, New York, NY. 222 p.
32. Kangas, J. 1992. Metsikön uudistamisketjun valinta-Monitavoitteiseen hyötyteoriaan perustuva paä̈tösanalyysimalli. (Choosing the regeneration chain in a forest stand-A decision-model based on multi-attribute utility theory.) Joensuun Yliop. Luonnont. Julk. 24. 230 p.
33. Kangas, J., and T. Pukkala. 1992. A decision theoretic approach applied to goal programming of forest management. Silva Fenn. 26:169-176.
34. Kätsch, C. 2006. Precision forestry and information-Information management: A forgotten task? P. 175-186 in Precision forestry in plantations, semi-natural and natural forests. Proc. of the International precision forestry symposium, Ackerman, P.A., D.W. Längin, and M.C. Antonides (eds.). Stellenbosch University, Stellenbosch, South Africa.
35. Kim, J.B., B.F. Hobbs, and J.F. Koonce. 2003. Multicriteria Bayesian analysis of lower trophic level uncertainties and value of research in Lake Erie. Hum. Ecol. Risk Assess. 9:1023-1057.
36. Knoke, T. 2002. Value of complete information on red heartwood formation in beech (Fagus sylvatica). Silva Fenn. 36:841-851.
37. Korhonen, P., and J. Wallenius. 2001. On using AHP in multiple objective linear programming. P. 37-50 in The analytic hierarchy process in natural resource and environmental decision making. Vol. 3: Managing forest ecosystems, Schmoldt, D.L., J. Kangas, G.A. Mendoza, and M. Pesonen (eds.). Kluwer Academic Publishers, Dordrecht, The Netherlands. 305 p.
38. Lawrence, D.B. 1999. The economic value of information. Springer, New York, NY. 393 p.
39. Leskinen, P. 2001. Statistical methods for measuring preferences. Doctoral thesis. Publications in Social Sciences 48. University of Joensuu, Joensuu, Sweden.
40. Leskinen, P., and J. Kangas. 1998. Analysing uncertainties of interval judgement data in multiple-criteria evaluation of forest plans. Silva Fenn. 32:363-372.
41. Leskinen, P., and J. Kangas. 2005. Multi-criteria natural resource management with preferentially dependent decision criteria. J. Environ. Manag. 77:244-251.
42. Leskinen, P., Hujala, T., Tikkanen, J. Kainulainen, T., Kangas, A., Kurttila, M., Pykäläinen, J., and Leskinen, L.A. 2009. Adaptive decision analysis (ADA) in forest management planning. For. Sci. 55:95-108.
43. Leskinen, P., J. Kangas, and A.-M. Pasanen. 2003. Assessing ecological values with dependent explanatory variables in multi-criteria forest ecosystem management. Ecol. Model. 170:1-12.
44. Louviere, J.D., D. Hensher, and J. Swait. 2000. Stated choice methods. Analysis and application. Cambridge University Press, Cambridge, UK. 402 p.
45. Macmillan, D., N. Hanley, and S. Buckland. 1996. A contingent valuation study of uncertain environmental gains. Scot. J. Polit. Econ. 43:519-533.
46. Malczewski, J. 1999. GIS and multicriteria decision analysis. John Wiley & Sons, New York, NY. 392 p.
47. Mishan, E.J. 1994. Cost-benefit analysis. 4th ed. Routledge, London, UK. 461 p.
48. Mogas, J., P. Riera, and J. Bennett. 2006. A comparison of contingent valuation and choice modelling with second-order interactions. J. For. Econ. 12:5-30.
49. Ovaskainen, V., and M. Kniivilä. 2005. Consumer versus citizen preferences in contingent valuation: Evidence on the role of question framing. Aust. J. Agric. Resourc. Econ. 49:379-394.
50. Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15:234-281.
51. Saaty, T.L. 1980. The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill. New York, NY.
52. Saaty, T.L. 1990. An exposition of the AHP in reply to the paper "Remarks on the analytic hierarchy process." Manag. Sci. 36:259-268.
53. Salo, A.A., and R.P. Hämäläinen. 1992. Preference assessment by imprecise ratio statements. Oper. Res. 40:1053-1061.
54. Schoemaker, P.J., and C.C. Waid. 1982. An experimental comparison of different approaches to determining weights in additive utility models. Manag. Sci. 28:182-196.
55. von Winterfeldt, D., and W. Edwards. 1986. Decision analysis and behavioral research. Cambridge University Press, Cambridge, UK.
56. Yokota, F., and K.M. Thompson. 2004a. Value of information analysis in environmental health risk management decisions: Past, present and future. Risk Anal. 24:635-650.
57. Yokota, F., and K.M. Thompson. 2004b. Value of information literature analysis: A review of applications in health risk assessment. Med. Decis. Making 24:287-298.