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The value of adaption: Climate change and timberland management

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  • Guo, Christopher
  • Costello, Christopher

Abstract

Adaptation to exogenous change occurs on both intensive and extensive margins. Whether and how one accounts for human adaptation directly affects estimates of the economic consequences of environmental change, estimates that are both critical in informing policy decisions and notoriously difficult to value. This paper introduces and applies an analytical framework for placing an economic value on adaptation. We explore the issue first in a stylized model that facilitates making concrete generalizations about the kinds of adaptations that generate high or low economic value. We then test the soundness of our insights by incorporating learning and adaptive decision-making into a structural dynamic forestry model where climate change is imposed exogenously and agents respond optimally. Using downscaled climate projections integrated with site- and species-specific timber productivity data, we estimate the economic value of adaptation to climate change within the California timber industry. We find on the intensive margin, changing the rotation intervals will yield a low value of adaptation, but on the extensive margin, replanting more suitable tree species can yield significant value.

Suggested Citation

  • Guo, Christopher & Costello, Christopher, 2013. "The value of adaption: Climate change and timberland management," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 452-468.
  • Handle: RePEc:eee:jeeman:v:65:y:2013:i:3:p:452-468
    DOI: 10.1016/j.jeem.2012.12.003
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    Cited by:

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    2. Rafael González-Val, 2021. "The Probability Distribution of Worldwide Forest Areas," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    3. Pierre Mérel & Matthew Gammans, 2021. "Climate Econometrics: Can the Panel Approach Account for Long‐Run Adaptation?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1207-1238, August.
    4. Frances C. Moore, 2017. "Learning, Adaptation, And Weather In A Changing Climate," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 1-21, November.
    5. Renato Molina & Ivan Rudik, 2022. "The Social Value of Predicting Hurricanes," CESifo Working Paper Series 10049, CESifo.
    6. Hirte, Georg & Nitzsche, Eric & Tscharaktschiew, Stefan, 2018. "Optimal adaptation in cities," Land Use Policy, Elsevier, vol. 73(C), pages 147-169.
    7. Claudia Schwirplies & Andreas Ziegler, 2017. "Adaptation of future travel habits to climate change," Tourism Economics, , vol. 23(6), pages 1275-1295, September.
    8. Yu, Zhihan & Ning, Zhuo & Chang, Wei-Yew & Chang, Sun Joseph & Yang, Hongqiang, 2023. "Optimal harvest decisions for the management of carbon sequestration forests under price uncertainty and risk preferences," Forest Policy and Economics, Elsevier, vol. 151(C).
    9. Tamma Carleton & Amir Jina & Michael Delgado & Michael Greenstone & Trevor Houser & Solomon Hsiang & Andrew Hultgren & Robert E Kopp & Kelly E McCusker & Ishan Nath & James Rising & Ashwin Rode & Hee , 2023. "Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 2037-2105.
    10. Rudik, Ivan & Lyn, Gary & Tan, Weiliang & Ortiz-Bobea, Ariel, 2022. "The Economic Effects of Climate Change in Dynamic Spatial Equilibrium," Conference papers 333486, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Brecka, Aaron F.J. & Shahi, Chander & Chen, Han Y.H., 2018. "Climate change impacts on boreal forest timber supply," Forest Policy and Economics, Elsevier, vol. 92(C), pages 11-21.
    12. Claudia Schwirplies & Andreas Ziegler, 2013. "Are German Tourists Environmental Chameleons? A Micro-econometric Analysis of Adaptation to Climate Change," MAGKS Papers on Economics 201334, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    13. Sloggy, Matthew R. & Kling, David M. & Plantinga, Andrew J., 2020. "Measure twice, cut once: Optimal inventory and harvest under volume uncertainty and stochastic price dynamics," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    14. Gammans, Matthew & Mérel, Pierre & Paroissien, Emmanuel, 2020. "Reckoning climate change damages along an envelope," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304475, Agricultural and Applied Economics Association.
    15. Charles D. Kolstad & Frances C. Moore, 2019. "Estimating the Economic Impacts of Climate Change Using Weather Observations," NBER Working Papers 25537, National Bureau of Economic Research, Inc.
    16. Tatyana Deryugina & Solomon Hsiang, 2017. "The Marginal Product of Climate," NBER Working Papers 24072, National Bureau of Economic Research, Inc.
    17. Hashida, Yukiko & Lewis, David J., 2022. "Estimating welfare impacts of climate change using a discrete-choice model of land management: An application to western U.S. forestry," Resource and Energy Economics, Elsevier, vol. 68(C).
    18. Bogmans, Christian W.J. & Dijkema, Gerard P.J. & van Vliet, Michelle T.H., 2017. "Adaptation of thermal power plants: The (ir)relevance of climate (change) information," Energy Economics, Elsevier, vol. 62(C), pages 1-18.
    19. repec:mar:magkse:20134 is not listed on IDEAS
    20. Liu, Bingcai & Sohngen, Brent, 2020. "Modeling and predicting forest movement: An analysis of timber market and climate change," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304335, Agricultural and Applied Economics Association.
    21. Dundas, Steven J., 2017. "Benefits and ancillary costs of natural infrastructure: Evidence from the New Jersey coast," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 62-80.

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