IDEAS home Printed from https://ideas.repec.org/p/ags/aaea18/273853.html
   My bibliography  Save this paper

The Added Caffeine, Health Concerns and Potential Regulations: The Case of Energy Drinks

Author

Listed:
  • Chen, Xuan
  • Liu, Yizao
  • Jaenicke, Edward C.
  • Rabinowitz, Adam N.

Abstract

No abstract is available for this item.

Suggested Citation

  • Chen, Xuan & Liu, Yizao & Jaenicke, Edward C. & Rabinowitz, Adam N., 2018. "The Added Caffeine, Health Concerns and Potential Regulations: The Case of Energy Drinks," 2018 Annual Meeting, August 5-7, Washington, D.C. 273853, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea18:273853
    DOI: 10.22004/ag.econ.273853
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273853/files/Abstracts_18_05_23_15_22_11_71__68_232_125_236_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273853?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
    ---><---

    References listed on IDEAS

    as
    1. Craig Gundersen & Brent Kreider & John V. Pepper, 2017. "Partial Identification Methods for Evaluating Food Assistance Programs: A Case Study of the Causal Impact of SNAP on Food Insecurity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 875-893.
    2. Dharmasena, Senarath & Capps, Oral, Jr. & Clauson, Annette L., 2011. "Ascertaining the Impact of the 2000 USDA Dietary Guidelines for Americans on the Intake of Calories, Caffeine, Calcium, and Vitamin C from At-Home Consumption of Nonalcoholic Beverages," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(01), pages 1-15, February.
    3. Liu, Yizao & Lopez, Rigoberto A. & Zhu, Chen, 2014. "The Impact of Four Alternative Policies to Decrease Soda Consumption," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(1), pages 53-68, April.
    4. Jayson L. Lusk & F. Bailey Norwood & J. Ross Pruitt, 2006. "Consumer Demand for a Ban on Antibiotic Drug Use in Pork Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1015-1033.
    5. Fred Kuchler & Abebayehu Tegene & J. Michael Harris, 2005. "Taxing Snack Foods: Manipulating Diet Quality or Financing Information Programs?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(1), pages 4-20.
    6. Kristin Kiesel & Jill J. McCluskey & Sofia B. Villas-Boas, 2011. "Nutritional Labeling and Consumer Choices," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 141-158, October.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 86(1), pages 154-174, February.
    9. Robin Dillaway & Kent D. Messer & John C. Bernard & Harry M. Kaiser, 2011. "Do Consumer Responses to Media Food Safety Information Last?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 363-383.
    10. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    11. Peggy J. Liu & Jessica Wisdom & Christina A. Roberto & Linda J. Liu & Peter A. Ubel, 2014. "Using Behavioral Economics to Design More Effective Food Policies to Address Obesity," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(1), pages 6-24.
    12. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    13. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
    14. W. Bruce Traill, 2004. "Effect of information about benefits of biotechnology on consumer acceptance of genetically modified food: evidence from experimental auctions in the United States, England, and France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(2), pages 179-204, June.
    15. Jayson L Lusk & Jill McCluskey, 2018. "Understanding the Impacts of Food Consumer Choice and Food Policy Outcomes," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 5-21.
    16. Nadia A. Streletskaya & Pimbucha Rusmevichientong & Wansopin Amatyakul & Harry M. Kaiser, 2014. "Taxes, Subsidies, and Advertising Efficacy in Changing Eating Behavior: An Experimental Study," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(1), pages 146-174.
    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. Chen, Xuan & Liu, Yizao & Jaenicke, Edward C. & Rabinowitz, Adam N., 2019. "New concerns on caffeine consumption and the impact of potential regulations: The case of energy drinks," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    2. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    3. Jura Liaukonyte & Nadia A. Streletskaya & Harry M. Kaiser, 2015. "The Long-Term Impact of Positive and Negative Information on Food Demand," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 539-562, December.
    4. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    5. Bakhtavoryan, Rafael & Capps, Oral, Jr. & Salin, Victoria, 2012. "Impact of Food Contamination on Brands: A Demand Systems Estimation of Peanut Butter," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-13, December.
    6. Qiujie Zheng & H. Holly Wang & Yonggang Lu, 2018. "Consumer Purchase Intentions for Sustainable Wild Salmon in the Chinese Market and Implications for Agribusiness Decisions," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    7. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492.
    8. Tonsor, Glynn T., 2010. "Consumer Food Safety Perceptions: Do they Differ across Products, Species, and Specific Risks?," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61044, Agricultural and Applied Economics Association.
    9. Caputo, Vincenzina, 2020. "Does information on food safety affect consumers’ acceptance of new food technologies? The case of irradiated beef in South Korea under a new labelling system and across different information regimes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(04), January.
    10. Wenying Li & Eric Andrew Finkelstein & Chen Zhen, 2022. "Intended and unintended consequences of salient nutrition labels," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 853-872, March.
    11. Nilsson, Tomas K.H. & Foster, Kenneth A., 2005. "Certification of Pork Products," 2005 Annual meeting, July 24-27, Providence, RI 19350, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Brooks, Kathleen R. & Lusk, Jayson L., 2012. "Public and Private Preferences for Animal Cloning Policies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(3), pages 1-17.
    13. Pozo, Veronica F. & Schroeder, Ted C., 2016. "Evaluating the costs of meat and poultry recalls to food firms using stock returns," Food Policy, Elsevier, vol. 59(C), pages 66-77.
    14. Lin, Wen & Ma, Baojie & Liang, Jiangyuan & Jin, Shaosheng, 2024. "Price response to government disclosure of food safety information in developing markets," Food Policy, Elsevier, vol. 123(C).
    15. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    16. Kaninda Tshikala, Sam & Fonsah, Esendugue Greg, 2012. "Analysis of U.S. Demand for Imported Melons using a Dynamic Almost Ideal Demand System," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119779, Southern Agricultural Economics Association.
    17. Donna, Javier D. & Pereira, Pedro & Trindade, Andre & Yoshida, Renan C., 2020. "Direct-to-Consumer Sales by Manufacturers and Bargaining," MPRA Paper 105773, University Library of Munich, Germany.
    18. Redding, Stephen J. & Weinstein, David E., 2016. "A unified approach to estimating demand and welfare," LSE Research Online Documents on Economics 67681, London School of Economics and Political Science, LSE Library.
    19. Capacci, Sara & Mazzocchi, Mario, 2011. "Five-a-day, a price to pay: An evaluation of the UK program impact accounting for market forces," Journal of Health Economics, Elsevier, vol. 30(1), pages 87-98, January.
    20. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.

    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:aaea18:273853. 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: https://edirc.repec.org/data/aaeaaea.html .

    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.