Adaptation gaps arise when observed adaptation to climate change is slower than perceived adaptation potential. Two common explanations for adaptation gaps are (1) private parties failing to recognize that the climate is changing and (2) the cost of adaptation is higher than commonly believed. This paper shows how these two explanations are linked and that the likelihood and duration of adaptation gaps depend on whether climate change is characterized by stationary or non-stationary dynamics. Using an investment in water-saving irrigation in California’s Central Valley as an illustrative example, we find little evidence that failing to account for climate change would explain adaptation gaps. A more likely explanation for adaptation gaps is a failure to account for the adaptation option value that arises due to the possibility of maladaptation.

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References

Bocquého, G, F Jacquet and A Reynaud [2013] Reversal and magnitude effects in long-term time preferences: Results from a field experiment. Economics Letters, 120, 108–111. Crossref, Google Scholar
Brown, P [2008] Flood vs. Pivot irrigation for forage crops: What are the advantages and disadvantages? In Proceedings, California Alfalfa & Forage Symposium and Western Seed Conference, San Diego, CA. Google Scholar
Duquette, E, N Higgins and J Horowitz [2012] Farmer discount rates: Experimental evidence. American Journal of Agricultural Economics, 94, 451–456. Crossref, Google Scholar
Fisher, AC and SJ Rubio [1997] Adjusting to climate change: Implications of increased variability and asymmetric adjustment costs for investment in water reserves. Journal of Environmental Economics and Management, 34, 207–227. Crossref, Google Scholar
Lence, SH [2000] Using consumption and asset return data to estimate farmers’ time preferences and risk attitudes. American Journal of Agricultural Economics, 82, 934–947. Crossref, Google Scholar
Narita D, and MF Quaas [2014] Adaptation to climate change and climate variability: Do it now or wait and see? Climate Change Economics, 5, 1450013. Link, Google Scholar
Saphores, JD [2004] Environmental uncertainty and the timing of environmental policy. Natural Resource Modeling, 17, 163–190. Crossref, Google Scholar
Tindula, GN, MN Orang and RL Snyder [2013] Survey of irrigation methods in California in 2010. Journal of Irrigation and Drainage Engineering, 139, 233–238. Crossref, Google Scholar
Wright, EL and JD Erickson [2003] Climate variability, economic adaptation, and investment timing. International Journal of Global Environmental Issues, 3, 357–368. Crossref, Google Scholar

References

Adger, WN et al.. [2007] Assessment of adaptation practices, options, constraints and capacity. In Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, pp. 717–743. Cambridge University Press. Google Scholar
Barreca, A, K Clay, O Deschenes, M Greenstone and JS Shapiro [2016] Adapting to climate change: The remarkable decline in the US temperature-mortality relationship over the twentieth century. Journal of Political Economy, 124(1), 105–159. Crossref, Google Scholar
Berck, P and G Helfand [1990] Reconciling the von Liebig and differentiable crop production functions. American Journal of Agricultural Economics, 72(4), 985–996. Crossref, Google Scholar
Bhaduri, A and U Manna [2014] Impacts of water supply uncertainty and storage on efficient irrigation technology adoption. Natural Resource Modeling, 27(1), 1–24. Crossref, Google Scholar
Bocquého, G, F Jacquet and A Reynaud [2013] Reversal and magnitude effects in long-term time preferences: Results from a field experiment. Economics Letters, 120(1), 108–111. Crossref, Google Scholar
Boelens, R and J Vos [2012] The danger of naturalizing water policy concepts: Water productivity and efficiency discourses from field irrigation to virtual water trade. Agricultural Water Management, 108, 16–26. Crossref, Google Scholar
Bosello, F, C Carraro and E De Cian [2010] Climate policy and the optimal balance between mitigation, adaptation and unavoided damage. Climate Change Economics, 1(2), 71–92. Link, Google Scholar
Brekke, L, B Thrasher, E Maurer and T Pruitt (2013). Downscaled CMIP3 and CMIP5 climate and hydrology projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user needs. US Department of the Interior, Bureau of Reclamation, Technical Services Center, Denver, Colorado, USA. Google Scholar
Brown, P (2008). Flood vs. Pivot irrigation for Forage Crops: What are the Advantages and Disadvantages? Paper presented at the Proceedings, California Alfalfa & Forage Symposium and Western Seed Conference, San Diego, CA. Google Scholar
Burke, M and K Emerick [2016] Adaptation to climate change: Evidence from US agriculture. American Economic Journal: Economic Policy, 8(3), 106–140. Crossref, Google Scholar
Carey, JM and D Zilberman [2002] A model of investment under uncertainty: Modern irrigation technology and emerging markets in water. American Journal of Agricultural Economics, 84(1), 171–183. Crossref, Google Scholar
Carleton, TA and SM Hsiang [2016] Social and economic impacts of climate. Science, 353(6304), aad9837. Crossref, Google Scholar
Cattaneo, C and G Peri [2016] The migration response to increasing temperatures. Journal of Development Economics, 122, 127–146. Crossref, Google Scholar
Chambwera, M et al.. [2014] Economics of adaptation. In Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, CB FieldVR BarrosDJ DokkenKJ MachMD MastrandreaTE BilirM ChatterjeeKL EbiYO EstradaRC GenovaB GirmaES KisselAN LevyS MacCrackenPR MastrandreaLL White (eds.), pp. 945–977. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press. Google Scholar
Davis, LW and PJ Gertler [2015] Contribution of air conditioning adoption to future energy use under global warming. Proceedings of the National Academy of Sciences, 112(19), 5962–5967. Crossref, Google Scholar
De Bruin, KC, RB Dellink and RS Tol [2009] AD-DICE: An implementation of adaptation in the DICE model. Climatic Change, 95(1), 63–81. Crossref, Google Scholar
Deschenes, O and E Moretti [2009] Extreme weather events, mortality, and migration. The Review of Economics and Statistics, 91(4), 659–681. Crossref, Google Scholar
Eisenack, K et al.. [2014] Explaining and overcoming barriers to climate change adaptation. Nature Climate Change, 4(10), 867. Crossref, Google Scholar
Fankhauser, S and TK McDermott [2014] Understanding the adaptation deficit: Why are poor countries more vulnerable to climate events than rich countries? Global Environmental Change, 27, 9–18. Crossref, Google Scholar
Feng, S, AB Krueger and M Oppenheimer [2010] Linkages among climate change, crop yields and Mexico–US cross-border migration. Proceedings of the National Academy of Sciences, 107(32), 14257–14262. Crossref, Google Scholar
Fisher, AC and SJ Rubio [1997] Adjusting to climate change: Implications of increased variability and asymmetric adjustment costs for investment in water reserves. Journal of Environmental Economics and Management, 34(3), 207–227. Crossref, Google Scholar
Gersonius, B, R Ashley, A Pathirana and C Zevenbergen [2013] Climate change uncertainty: Building flexibility into water and flood risk infrastructure. Climatic Change, 116(2), 411–423. Crossref, Google Scholar
Golub, A, D Narita and MG Schmidt [2014] Uncertainty in integrated assessment models of climate change: Alternative analytical approaches. Environmental Modeling & Assessment, 19(2), 99–109. Crossref, Google Scholar
Graff Zivin, J and M Neidell [2014] Temperature and the allocation of time: Implications for climate change. Journal of Labor Economics, 32(1), 1–26. Crossref, Google Scholar
Hallegatte, S, F Lecocq and C De Perthuis [2011] Designing Climate Change Adaptation Policies: An Economic Framework, The World Bank. Crossref, Google Scholar
Hashida, Y and DJ Lewis [2019] The intersection between climate adaptation, mitigation, and natural resources: An empirical analysis of forest management. Journal of the Association of Environmental and Resource Economists, 6(5), 893–926. Crossref, Google Scholar
Howe, PD, M Mildenberger, JR Marlon and A Leiserowitz [2015] Geographic variation in opinions on climate change at state and local scales in the USA. Nature Climate Change, 5(6), 596. Crossref, Google Scholar
Hsiang, SM and D Narita [2012] Adaptation to cyclone risk: Evidence from the global cross-section. Climate Change Economics, 3(2), 1250011. Link, Google Scholar
Ihli, HJ, SC Maart-Noelck and O Musshoff [2014] Does timing matter? A real options experiment to farmers’ investment and disinvestment behaviours. Australian Journal of Agricultural and Resource Economics, 58(3), 430–452. Crossref, Google Scholar
Judd, KL [1998] Numerical Methods in Economics. Cambridge, MA: MIT Press. Google Scholar
Kahn, ME [2005] The death toll from natural disasters: The role of income, geography, and institutions. Review of Economics and Statistics, 87(2), 271–284. Crossref, Google Scholar
Knutti, R and J Sedláček [2013] Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change, 3(4), 369–373. Crossref, Google Scholar
Kurukulasuriya, P and RO Mendelsohn (2007). Endogenous irrigation: The impact of climate change on farmers in Africa. World Bank Policy Research Working Paper (4278). Google Scholar
Lence, SH [2000] Using consumption and asset return data to estimate farmers’ time preferences and risk attitudes. American Journal of Agricultural Economics, 82(4), 934–947. Crossref, Google Scholar
Letey, J [1991] Crop-water production function and the problems of drainage and salinity. In The Economics and Management of Water and Drainage in Agriculture, pp. 209–227. New York: Springer. Crossref, Google Scholar
Li, H and HA Rus [2019] Climate change adaptation and international mitigation agreements with heterogeneous countries. Journal of the Association of Environmental and Resource Economists, 6(3), 503–530. Crossref, Google Scholar
Lo, AW and J Wang [1995] Implementing option pricing models when asset returns are predictable. The Journal of Finance, 50(1), 87–129. Crossref, Google Scholar
Lundquist, JD, DR Cayan and MD Dettinger [2004] Spring onset in the Sierra Nevada: When is snowmelt independent of elevation? Journal of Hydrometeorology, 5(2), 327–342. Crossref, Google Scholar
Margulis, S, G Hughes, R Schneider, K Pandey, U Narain and T Kemeny [2010] Economics of adaptation to climate change: Synthesis report. World Bank Climate Change Synthesis Report. Google Scholar
Maurer, EP, HG Hidalgo, T Das MD Dettinger and DR Cayan [2010] The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California. Hydrology and Earth System Sciences, 14(6), 1125–1138. Crossref, Google Scholar
McDermott, TK, F Barry and RS Tol (2013). Disasters and development: Natural disasters, credit constraints, and economic growth. Oxford Economic Papers, 66(3), 750–773. Google Scholar
Mendelsohn, R and A Dinar [2003] Climate, water, and agriculture. Land Economics, 79(3), 328–341. Crossref, Google Scholar
Milly, PCD, J Betancourt, M Falkenmark, RM Hirsch, ZW Kundzewicz, DP Lettenmaier and RJ Stouffer [2008] Stationarity is dead: Whither water management? Science, 319(5863), 573–574. https://doi.org/10.1126/science.1151915. Crossref, Google Scholar
Miranda, MJ and PL Fackler [2002] Applied Computational Economics and Finance. Cambridge: MIT Press. Google Scholar
Narita, D and MF Quaas [2014] Adaptation to climate change and climate variability: Do it now or wait and see? Climate Change Economics, 5(4), 1450013. Link, Google Scholar
Noy, I [2009] The macroeconomic consequences of disasters. Journal of Development Economics, 88(2), 221–231. Crossref, Google Scholar
Null, SE and L Prudencio [2016] Climate change effects on water allocations with season dependent water rights. Science of the Total Environment, 571, 943–954. Crossref, Google Scholar
Null, SE, JH Viers and JF Mount [2010] Hydrologic response and watershed sensitivity to climate warming in California’s Sierra Nevada. PLoS One, 5(4), e9932. Crossref, Google Scholar
O’Brien, K, S Eriksen, L Sygna and LO Naess [2006] Questioning complacency: Climate change impacts, vulnerability, and adaptation in Norway. AMBIO: A Journal of the Human Environment, 35(2), 50–56. Crossref, Google Scholar
Olmstead, AL and PW Rhode [2011] Adapting North American wheat production to climatic challenges, 1839–2009. Proceedings of the National Academy of Sciences, 108(2), 480–485. https://doi.org/10.1073/pnas.1008279108. Crossref, Google Scholar
Peterson, DH, I Stewart and F Murphy [2008] Principal hydrologic responses to climatic and geologic variability in the Sierra Nevada, California. San Francisco Estuary and Watershed Science, 6(1). Crossref, Google Scholar
Repetto, RC (2008). The climate crisis and the adaptation myth. Yale School of Forestry & Environmental Studies, New Haven, CT. Google Scholar
Rodó, X, M Pascual, G Fuchs and A Faruque [2002] ENSO and cholera: A nonstationary link related to climate change? Proceedings of the National Academy of Sciences, 99(20), 12901–12906. Crossref, Google Scholar
Saphores, JD [2004] Environmental uncertainty and the timing of environmental policy. Natural Resource Modeling, 17(2), 163–190. Crossref, Google Scholar
Sauter, PA, O Mußhoff, B Möhring and S Wilhelm [2016] Faustmann vs. real options theory–An experimental investigation of foresters’ harvesting decisions. Journal of Forest Economics, 24, 1–20. Crossref, Google Scholar
Schlenker, W, MJ Roberts and DB Lobell [2013] US maize adaptability. Nature Climate Change, 3(8), 690. Crossref, Google Scholar
Severen, C, C Costello and O Deschenes [2018] A forward-looking Ricardian approach: Do land markets capitalize climate change forecasts? Journal of Environmental Economics and Management, 89, 235–254. Crossref, Google Scholar
Shrader, J (2017). Improving Climate Damage Estimates by Accounting for Adaptation (June 21, 2020). Available at SSRN: https://ssrn.com/abstract=3212073 or http://dx.doi.org/10.2139/ssrn.3212073. Google Scholar
Sims, C and SE Null [2019] Climate forecasts and flood mitigation. Southern Economic Journal, 85(4), 1083–1107. Crossref, Google Scholar
Sturm, M, MA Goldstein, H Huntington and TA Douglas [2017] Using an option pricing approach to evaluate strategic decisions in a rapidly changing climate: Black–Scholes and climate change. Climatic Change, 140(3-4), 437–449. Crossref, Google Scholar
Szuwalski, CS and AB Hollowed [2016] Climate change and non-stationary population processes in fisheries management. ICES Journal of Marine Science, 73(5), 1297–1305. Crossref, Google Scholar
Taylor, KE, RJ Stouffer and GA Meehl [2012] An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society, 93(4), 485–498. Crossref, Google Scholar
Tindula, GN, MN Orang and RL Snyder [2013] Survey of irrigation methods in California in 2010. Journal of Irrigation and Drainage Engineering, 139(3), 233–238. Crossref, Google Scholar
Treasury, H (2009). Accounting for the effects of climate change: Supplementary green book guidance. HM Treasury, London. Google Scholar
Wang, W and BA McCarl [2013] Temporal investment in climate change adaptation and mitigation. Climate Change Economics, 4(2), 1350009. Link, Google Scholar
Ward, FA and M Pulido-Velazquez [2008] Water conservation in irrigation can increase water use. Proceedings of the National Academy of Sciences, 105(47), 18215–18220. Crossref, Google Scholar
Watson, R [2016] Tapping Water Markets in California: Six Policy Reforms. Retrieved from Bozeman, Montana. Google Scholar
Wright, EL and JD Erickson [2003] Climate variability, economic adaptation, and investment timing. International Journal of Global Environmental Issues, 3(4), 357–368. Crossref, Google Scholar
Yates, D, J Sieber, D Purkey and A Huber-Lee [2005] WEAP21—A demand-, priority-, and preference-driven water planning model: Part 1: model characteristics. Water International, 30(4), 487–500. Crossref, Google Scholar
Young, CA et al. (2009). Modeling the hydrology of climate change in California’s Sierra Nevada for subwatershed scale adaptation1. Wiley Online Library. Google Scholar

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Vol. 12, No. 04

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Received 28 July 2020

Accepted 28 September 2021

Published: 1 November 2021

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System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

HURRY UP OR WAIT: ARE PRIVATE INVESTMENTS IN CLIMATE CHANGE ADAPTATION DELAYED?

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System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

HURRY UP OR WAIT: ARE PRIVATE INVESTMENTS IN CLIMATE CHANGE ADAPTATION DELAYED?

Abstract

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