IDEAS home Printed from https://ideas.repec.org/p/ags/hebarc/8508.html

Tax, Subsidy, and/or Information for Health: An Example from Fish Consumption

Author

Listed:
  • Marette, Stephan
  • Roosen, Jutta
  • Blanchemanche, Sandrine

Abstract

A calibrated model is used to determine the welfare impacts of various regulatory instruments for improving health. The results of a lab experiment are integrated in a partial equilibrium model representing demands for two kinds of fish, one with higher nutritional benefits (canned sardines) and one with higher contamination risks (canned tuna) in France. In the laboratory, information about health effects leads to a statistically significant decrease (increase) in the willingness to pay for tuna (sardines). Simulations with the laboratory results show that, for most cases, a per-unit tax on tuna and a per-unit subsidy on sardines without any information revealed to consumers lead to the highest welfare, because both the tax and subsidy directly internalize health characteristics. The information policy combined with a per-unit tax on tuna and a per-unit subsidy on sardines is socially profitable only if a large proportion of consumers (greater than 95%) receives health information.

Suggested Citation

  • Marette, Stephan & Roosen, Jutta & Blanchemanche, Sandrine, 2007. "Tax, Subsidy, and/or Information for Health: An Example from Fish Consumption," Hebrew University of Jerusalem Archive 8508, Hebrew University of Jerusalem.
  • Handle: RePEc:ags:hebarc:8508
    DOI: 10.22004/ag.econ.8508
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/8508/files/wp070453.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.8508?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
    2. Adolf Buse & Wing H Chan, 2000. "Invariance, price indices and estimation in almost ideal demand systems," Empirical Economics, Springer, vol. 25(3), pages 519-539.
    3. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    4. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
    3. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.
    4. Wildner, Susanne, 2001. "Quantifizierung der Preis– und Ausgabenelastizitäten für Nahrungsmittel in Deutschland: Schätzung eines LA/AIDS," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(05), pages 1-11.
    5. Steven S. Vickner, 2020. "On Estimating the Impact of the Deepwater Horizon Tragedy on the U.S. Frozen Seafood Market: A Conditional Almost Ideal Demand System Approach," Sustainability, MDPI, vol. 12(10), pages 1-10, May.
    6. repec:ebl:ecbull:v:3:y:2008:i:14:p:1-10 is not listed on IDEAS
    7. Manami Ogura, 2008. "The examination of the validity of the Divisia price index for the almost ideal demand system model: Some Monte Carlo results," Economics Bulletin, AccessEcon, vol. 3(14), pages 1-10.
    8. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    9. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    10. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Pereda, Paula Carvalho & Moz-Christofoletti, Maria Alice & Duran, Ana Clara & Louzada, Maria Laura da Costa & Ng, Shu Wen, 2024. "Equity-Driven fiscal Policies: Taxing Ultra-Processed products and subsidizing minimally processed foods," Food Policy, Elsevier, vol. 126(C).
    12. West, Sarah E. & Williams, R.C.Roberton III, 2004. "Estimates from a consumer demand system: implications for the incidence of environmental taxes," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 535-558, May.
    13. Colchero, M.A. & Salgado, J.C. & Unar-Munguía, M. & Hernández-Ávila, M. & Rivera-Dommarco, J.A., 2015. "Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico," Economics & Human Biology, Elsevier, vol. 19(C), pages 129-137.
    14. Tirtha Pratim Dhar & Jean-Paul Chavas & Ronald W. Cotterill & Brian W. Gould, 2002. "An Econometric Analysis of Brand Level Strategic Pricing Between Coca Cola and Pepsi Inc," Food Marketing Policy Center Research Reports 065, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    15. Lubna Naz & Munir Ahmad & G.M Arif, 2018. "Estimating Food Demand System and Rural Household Welfare: A Case study from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(4), pages 55-82, December.
    16. William Barnett & Ousmane Seck, 2006. "Rotterdam vs Almost Ideal Models: Will the Best Demand Specification Please Stand Up?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200605, University of Kansas, Department of Economics.
    17. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Pritchett, James G. & Johnson, Kamina K. & Thilmany, Dawn D. & Hahn, William F., 2007. "Consumer Responses to Recent BSE Events," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-12, July.
    19. Denni Tommasi, 2016. "Household Responses to cash Transfers," Working Papers ECARES ECARES 2016-20, ULB -- Universite Libre de Bruxelles.
    20. Feng, Xudong & Chern, Wen S., 2000. "Demand For Healthy Food In The United States," 2000 Annual meeting, July 30-August 2, Tampa, FL 21857, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Maynard, Leigh J. & Liu, Deyu, 1999. "Fragility In Dairy Product Demand Analysis," 1999 Annual meeting, August 8-11, Nashville, TN 21679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:hebarc:8508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.