IDEAS home Printed from https://ideas.repec.org/p/ags/umaesp/159771.html
   My bibliography  Save this paper

On Price Endogeneity in the Analysis of Food Demand in China

Author

Listed:
  • Hovhannisyan, Vardges
  • Bozic, Marin

Abstract

Price endogeneity has been ignored in previous analyses of food demand in China. We exploit farm price data collected from the China National Bureau of Statistics to account for price endogeneity using reduced form price equations. Applying our unique econometric approach to the analysis of provincial-level food demand in China, we find strong statistical evidence of price endogeneity. Models that ignore price endogeneity result in substantial upward biased estimates of future food demand in China.

Suggested Citation

  • Hovhannisyan, Vardges & Bozic, Marin, 2013. "On Price Endogeneity in the Analysis of Food Demand in China," Staff Papers 159771, University of Minnesota, Department of Applied Economics.
    • Handle: RePEc:ags:umaesp:159771
    DOI: 10.22004/ag.econ.159771
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/159771/files/Hovhannisyan_Bozic_APEC_13-5.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.159771?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. Fan, Shenggen & Cramer, Gail & Wailes, Eric, 1994. "Food demand in rural China: evidence from rural household survey," Agricultural Economics, Blackwell, vol. 11(1), pages 61-69, September.
    2. Thomas W. Hertel & Jayson Beckman, 2011. "Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets," NBER Chapters, in: The Intended and Unintended Effects of US Agricultural and Biotechnology Policies, pages 189-221, National Bureau of Economic Research, Inc.
    3. Bollino, Carlo Andrea, 1987. "Gaids: a generalised version of the almost ideal demand system," Economics Letters, Elsevier, vol. 23(2), pages 199-202.
    4. Jeffrey T. LaFrance, 1993. "Weak Separability in Applied Welfare Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 770-775.
    5. Schneider, Uwe A. & Havlík, Petr & Schmid, Erwin & Valin, Hugo & Mosnier, Aline & Obersteiner, Michael & Böttcher, Hannes & Skalský, Rastislav & Balkovic, Juraj & Sauer, Timm & Fritz, Steffen, 2011. "Impacts of population growth, economic development, and technical change on global food production and consumption," Agricultural Systems, Elsevier, vol. 104(2), pages 204-215, February.
    6. Huang, Jikun & Rozelle, Scott, 1998. "Market development and food demand in rural China," China Economic Review, Elsevier, vol. 9(1), pages 25-45.
    7. Clarete, Ramon L. & Whalley, John, 1988. "Interactions between trade policies and domestic distortions in a small open developing country," Journal of International Economics, Elsevier, vol. 24(3-4), pages 345-358, May.
    8. Blanciforti, Laura Ann & Green, Richard D. & King, Gordon A., 1986. "U.S. Consumer Behavior over the Postwar Period: An Almost Ideal Demand System Analysis," Monographs, University of California, Davis, Giannini Foundation, number 11939, December.
    9. Dhar, Tirtha & Chavas, Jean-Paul & Gould, Brian W., 2002. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," Working Papers 201561, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    10. Huang, Kuo S., 1993. "Measuring The Effects Of U.S Meat Trade On Consumers' Welfare," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 25(1), pages 1-11, July.
    11. X. M. Gao & J. S. Shonkwiler, 1993. "Characterizing Taste Change in a Model of U.S. Meat Demand: Correcting for Spurious Regression and Measurement Errors," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 313-324.
    12. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-957, Sept.-Nov.
    13. Yu, Wusheng & Hertel, Thomas W. & Preckel, Paul V. & Eales, James S., 2004. "Projecting world food demand using alternative demand systems," Economic Modelling, Elsevier, vol. 21(1), pages 99-129, January.
    14. Wyatt Thompson, 2004. "Using Elasticities from an Almost Ideal Demand System? Watch Out for Group Expenditure!," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1108-1116.
    15. Chern, Wen S. & Ishibashi, Kimiko & Taniguchi, Kiyoshi & Tokoyama, Yuki, 2002. "Analysis of food consumption behavior by Japanese households," ESA Working Papers 289108, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    16. Vardges Hovhannisyan & Brian W. Gould, 2011. "Quantifying the structure of food demand in China: An econometric approach," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 1-18, November.
    17. Kadiyali, Vrinda & Vilcassim, Naufel J & Chintagunta, Pradeep K, 1996. "Empirical Analysis of Competitive Product Line Pricing Decisions: Lead, Follow, or Move Together?," The Journal of Business, University of Chicago Press, vol. 69(4), pages 459-487, October.
    18. Kehoe, Timothy J. & Serra-Puche, Jaime, 1983. "A computational general equilibrium model with endogenous unemployment : An analysis of the 1980 fiscal reform in Mexico," Journal of Public Economics, Elsevier, vol. 22(1), pages 1-26, October.
    19. Nicholas E. Piggott & James A. Chalfant & Julian M. Alston & Garry R. Griffith, 1996. "Demand Response to Advertising in the Australian Meat Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 268-279.
    20. Jeffrey J. Reimer, 2007. "Assessing Global Computable General Equilibrium Model Validity Using Agricultural Price Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 383-397.
    21. Brian W. Gould, 2003. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 605-617.
    22. LaFrance, Jeffrey T., 1991. "When Is Expenditure "Exogenous" In Separable Demand Models?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-14, July.
    23. Fengxia Dong & Frank Fuller, 2010. "Dietary Structural Change in China's Cities: Empirical Fact or Urban Legend?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(1), pages 73-91, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thibaut Plassot & Isidro Soloaga, 2022. "Estimaciones regionales del impacto sobre la pobreza económica ante cambios de precios de bienes alimentarios," Working Paper Series Sobre México 2022007, Sobre México. Temas en economía.

    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. Lichtenberg, Erik & Strand, Ivar E., Jr., 2000. "Joint Adoption Of Multiple Technologies: A Dual, Latent Demand Approach," Working Papers 28566, University of Maryland, Department of Agricultural and Resource Economics.
    2. Hovhannisyan, Vardges & Bozic, Marin, 2014. "On Price Endogeneity in the Analysis of Food Demand in China," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169767, Agricultural and Applied Economics Association.
    3. repec:ags:usao13:148045 is not listed on IDEAS
    4. Vardges Hovhannisyan & Marin Bozic, 2017. "Price Endogeneity and Food Demand in Urban China," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 386-406, June.
    5. Hovhannisyan, Vardges, 2016. "New Evidence On The Structure Of Food Demand In China: An Easi Demand Model Estimated Via Panel Data Techniques," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236889, Agricultural and Applied Economics Association.
    6. Mendis, Sachintha & Hovhannisyan, Vardges, 2017. "Assessing Provincial-Level Demand For Food Quantity And Quality In China: An Easi Demand System Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252797, Southern Agricultural Economics Association.
    7. Vardges Hovhannisyan & Brian W. Gould, 2011. "Quantifying the structure of food demand in China: An econometric approach," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 1-18, November.
    8. Hovhannisyan, Vardges & Gould, Brian W., 2012. "Structural Changes in Chinese Food Preferences," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125978, Agricultural and Applied Economics Association.
    9. Bo Xiong & Daniel Sumner & William Matthews, 2014. "A new market for an old food: the U.S. demand for olive oil," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 107-118, November.
    10. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    11. Vardges Hovhannisyan & Brian W. Gould, 2014. "Structural change in urban Chinese food preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 159-166, March.
    12. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    13. Ming-Feng Hsieh & Paul D. Mitchell & Kyle W. Stiegert, 2009. "Potato demand in an increasingly organic marketplace," Agribusiness, John Wiley & Sons, Ltd., vol. 25(3), pages 369-394.
    14. Hovhannisyan, Vardges & Gould, Brian W., 2010. "Quantifying the Structure of Food Demand in China Using a Generalized Quadratic AIDS Specification," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56422, Southern Agricultural Economics Association.
    15. Vardges Hovhannisyan & Aleksan Shanoyan, 2020. "An Empirical Analysis of the Welfare Consequences of Rising Food Prices in Urban China: The Easi Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 796-814, December.
    16. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    17. Zhou, De & Yu, Xiaohua & Abler, David & Chen, Danhong, 2020. "Projecting meat and cereals demand for China based on a meta-analysis of income elasticities," China Economic Review, Elsevier, vol. 59(C).
    18. Huang, Pei, 2014. "An Inverse Demand System for Blue Crab in the Chesapeake Bay: Endogeneity and Seasonality," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169827, Agricultural and Applied Economics Association.
    19. Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
    20. Nikodinoska, Dragana & Schröder, Carsten, 2015. "On the emissions-inequality trade-off in energy taxation: Evidence on the German car fuel tax," Discussion Papers 2015/6, Free University Berlin, School of Business & Economics.
    21. T. Kesavan & Zuhair A. Hassan & Helen H. Jensen & Stanley R. Johnson, 1993. "Dynamics and Long-run Structure in U.S. Meat Demand," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 139-153, July.

    More about this item

    Keywords

    Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:umaesp:159771. 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/daumnus.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.