IDEAS home Printed from https://ideas.repec.org/p/ags/ucozwp/148347.html

Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation

Author

Listed:
  • Cohen, Michael
  • Huang, Rui

Abstract

This paper develops a dynamic oligopoly model of participation in a corporate social responsibility marketing initiative that defines quality standards for products advertised to children. Participation requires that firms either adopt initiative standards by investing in product quality or stop advertising products categorized as substandard quality. To test the model we estimate consumer demand for breakfast cereal using a panel of household purchase and television advertising data, then use it to investigate the incentives to participate in a costly initiative that improves the health quality of kids’ cereals. Model predictions demonstrate the conditions under which firms are incentivized to choose participation and to reformulate their product to meet the quality standard. The application also forecasts market evolution and investigates the impact of the kids’ health initiative on demand for calories, as well as firm profitability and consumer economic welfare. We compare these results to a mandatory quality compliance policy, and to business without an initiative, thus illustrating the costs and benefits of the three policy approaches.

Suggested Citation

  • Cohen, Michael & Huang, Rui, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Paper series 148347, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
  • Handle: RePEc:ags:ucozwp:148347
    DOI: 10.22004/ag.econ.148347
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/148347/files/wp12.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.148347?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. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
    2. Rinaldo Brau & Carlo Carraro, 2011. "The design of voluntary agreements in oligopolistic markets," Journal of Regulatory Economics, Springer, vol. 39(2), pages 111-142, April.
    3. Ronald L. Goettler & Brett R. Gordon, 2011. "Does AMD Spur Intel to Innovate More?," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1141-1200.
    4. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    5. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    6. Na Li Dawson & Kathleen Segerson, 2008. "Voluntary Agreements with Industries: Participation Incentives with Industry-Wide Targets," Land Economics, University of Wisconsin Press, vol. 84(1), pages 97-114.
    7. Shi Qi, 2013. "The impact of advertising regulation on industry: the cigarette advertising ban of 1971," RAND Journal of Economics, RAND Corporation, vol. 44(2), pages 215-248, June.
    8. Shuili Du & C. B. Bhattacharya & Sankar Sen, 2011. "Corporate Social Responsibility and Competitive Advantage: Overcoming the Trust Barrier," Management Science, INFORMS, vol. 57(9), pages 1528-1545, March.
    9. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    10. Jean-Pierre Dubé & Günter Hitsch & Puneet Manchanda, 2005. "An Empirical Model of Advertising Dynamics," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 107-144, June.
    11. Ulrich Doraszelski & Sarit Markovich, 2007. "Advertising dynamics and competitive advantage," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 557-592, September.
    12. Sass, Tim R & Saurman, David S, 1995. "Advertising Restrictions and Concentration: The Case of Malt Beverages," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 66-81, February.
    13. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    14. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    15. Craig A. Gallet, 2003. "Advertising and Restrictions in the Cigarette Industry: Evidence of State‐by‐State Variation," Contemporary Economic Policy, Western Economic Association International, vol. 21(3), pages 338-348, July.
    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. Michael Cohen & Rui Huang, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Papers 12, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    2. Michael Cohen & Rui Huang & Chen Zhu, 2012. "The Use of Voluntary Marketing Initiatives to Improve the Nutritional Profile of Kids Cereals," Working Papers 11, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    3. Friberg, Richard & Romahn, André, 2015. "Divestiture requirements as a tool for competition policy: A case from the Swedish beer market," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 1-18.
    4. Michael Cohen & Adam Rabinowitz, 2012. "An Empirical Analysis of Equilibrium Pricing and Advertising in the Ready-To-Eat Cereal Market," Working Papers 15, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    5. Griffith, Rachel & Dubois, Pierre & O'Connell, Martin, 2014. "The Effects of Banning Advertising on Demand, Supply and Welfare: Structural Estimation on a Junk Food Market," CEPR Discussion Papers 9942, C.E.P.R. Discussion Papers.
    6. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Economics Series 307, Institute for Advanced Studies.
    7. Mandys, Filip & Taneja, Shivani, 2024. "Demand for green and fossil fuel automobiles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    8. Juan Esteban Carranza & Alejandra Ximena González, 2014. "Estimación de la demanda de vehículos nuevos de los hogares colombianos entre 2001 y 2011," Borradores de Economia 824, Banco de la Republica de Colombia.
    9. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    10. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 225, Courant Research Centre PEG.
    11. Zhu, Chen & Lopez, Rigoberto A. & Liu, Xiaoou, 2019. "Consumer responses to front-of-package labeling in the presence of information spillovers," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    12. Byrne, David P. & Imai, Susumu & Jain, Neelam & Sarafidis, Vasilis, 2022. "Instrument-free identification and estimation of differentiated products models using cost data," Journal of Econometrics, Elsevier, vol. 228(2), pages 278-301.
    13. Ketz, Philipp, 2019. "On asymptotic size distortions in the random coefficients logit model," Journal of Econometrics, Elsevier, vol. 212(2), pages 413-432.
    14. Syed Badruddoza & Modhurima Amin & Jill McCluskey, 2019. "Assessing the Importance of an Attribute in a Demand SystemStructural Model versus Machine Learning," Working Papers 2019-5, School of Economic Sciences, Washington State University.
    15. Carl F. Mela, 2011. "Structural Workshop Paper --Data Selection and Procurement," Marketing Science, INFORMS, vol. 30(6), pages 965-976, November.
    16. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    17. Juan Esteban Carranza & Alejandra Ximena Gonz�lez, 2014. "Estimaci�n de la demanda de veh�culos nuevos de los hogares colombianos entre 2001 y 2011," Borradores de Economia 11570, Banco de la Republica.
    18. Miravete, Eugenio J. & Seim, Katja & Thurk, Jeff, 2023. "Pass-through and tax incidence in differentiated product markets," International Journal of Industrial Organization, Elsevier, vol. 90(C).
    19. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    20. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers CWP11/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    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:ucozwp:148347. 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/fmuctus.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.