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Welfare Estimates of Avoided Ocean Acidification in the U.S. Mollusk Market

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  • Moore, Chris

Abstract

Ocean acidification has the potential to adversely affect a number of valuable marine ecosystem services by making it more difficult, and eventually impossible, for many marine organisms to form shells and skeletons. Reef-forming corals, commercially valuable shellfish, and primary producers that form the base of the marine food web are among the affected organisms. Despite the range and magnitude of likely impacts, very few economic analyses of ocean acidification’s consequences have been conducted. This paper adds to the emerging body of literature by taking a distance function approach to estimating the benefits of avoided ocean acidification in the U.S. mollusk market. A nonlinear inverse almost ideal demand system estimates the utility parameters needed to calculate the exact consumer welfare measures compensating and equivalent surplus for two hypothetical policies that would reduce global greenhouse gas emissions relative to a business-as-usual scenario.

Suggested Citation

  • Moore, Chris, 2015. "Welfare Estimates of Avoided Ocean Acidification in the U.S. Mollusk Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-13.
  • Handle: RePEc:ags:jlaare:197376
    DOI: 10.22004/ag.econ.197376
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    References listed on IDEAS

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    1. Moschini, GianCarlo & Vissa, Anuradha, 1992. "A Linear Inverse Demand System," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-9, December.
    2. James Eales & Catherine Durham & Cathy R. Wessells, 1997. "Generalized Models of Japanese Demand for Fish," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1153-1163.
    3. Eales, James S. & Unnevehr, Laurian J., 1994. "The inverse almost ideal demand system," European Economic Review, Elsevier, vol. 38(1), pages 101-115, January.
    4. Hsiang-tai Cheng & Oral Capps, 1988. "Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 533-542.
    5. Richard C. Bishop & Matthew T. Holt, 2002. "A semiflexible normalized quadratic inverse demand system: an application to the price formation of fish," Empirical Economics, Springer, vol. 27(1), pages 23-47.
    6. Daiju Narita & Katrin Rehdanz & Richard Tol, 2012. "Economic costs of ocean acidification: a look into the impacts on global shellfish production," Climatic Change, Springer, vol. 113(3), pages 1049-1063, August.
    7. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    8. Angus Deaton, 1979. "The Distance Function in Consumer Behaviour with Applications to Index Numbers and Optimal Taxation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(3), pages 391-405.
    9. K. K. Gary Wong & Keith R. McLaren, 2005. "Specification and Estimation of Regular Inverse Demand Systems: A Distance Function Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 823-834.
    10. Barten, A. P. & Bettendorf, L. J., 1989. "Price formation of fish : An application of an inverse demand system," European Economic Review, Elsevier, vol. 33(8), pages 1509-1525, October.
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    Cited by:

    1. Tai, Travis C. & Harley, Christopher D.G. & Cheung, William W.L., 2018. "Comparing model parameterizations of the biophysical impacts of ocean acidification to identify limitations and uncertainties," Ecological Modelling, Elsevier, vol. 385(C), pages 1-11.
    2. Chang K. Seung & Michael G. Dalton & André E. Punt & Dusanka Poljak & Robert Foy, 2015. "Economic Impacts Of Changes In An Alaska Crab Fishery From Ocean Acidification," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 1-35, November.
    3. Ariel Soto‐Caro & Feng Wu & Tian Xia & Zhengfei Guan, 2023. "Demand analysis with structural changes: Model and application to the US blueberry market," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1100-1116, October.
    4. Speers, Ann E. & Besedin, Elena Y. & Palardy, James E. & Moore, Chris, 2016. "Impacts of climate change and ocean acidification on coral reef fisheries: An integrated ecological–economic model," Ecological Economics, Elsevier, vol. 128(C), pages 33-43.
    5. Ponce Oliva, Roberto D. & Vasquez-Lavín, Felipe & San Martin, Valeska A. & Hernández, José Ignacio & Vargas, Cristian A. & Gonzalez, Pablo S. & Gelcich, Stefan, 2019. "Ocean Acidification, Consumers' Preferences, and Market Adaptation Strategies in the Mussel Aquaculture Industry," Ecological Economics, Elsevier, vol. 158(C), pages 42-50.

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