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Food Demand In Urban China: An Application Of A Multi-Stage Censored Demand System

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  • Liu, Kang Ernest
  • Chern, Wen S.

Abstract

Since its economic reform, China has changed significantly as it makes its transition from a centrally-planned to a consumer-oriented economy and thus has gradually increased household income and changed consumption patterns in urban China. This study attempts to provide an in-depth understanding of heterogeneous consumer patterns in urban China by developing a multi-stage censored demand system using household data. Specifically, this study develops an economic model considering heterogeneous consumption patterns across households and commodity groupings and estimates econometric models of a Quadratic Almost Ideal Demand System (QAIDS) using household data. Three methodologies are integrated including constructing a multi-stage demand system, incorporating demographic variables using the 'ordinary budget share scaling and translation' (OBSSAT), and employing a two-step estimator to deal with zero consumption problems. This study covers three provinces in China, Shandong, Jiangsu, and Guangdong, and uses household data from 1998 provided by the National Bureau of Statistics (NBS). Based on the Chinese food guide pyramid, a three-level utility tree is constructed dividing 18 food items into five subgroups. An empirical analysis is conducted by estimating econometric models to examine the impact of the potential factors, e.g., income and demographic variables, on food demand. The results show the uniqueness of this study in three dimensions. First, using the OBSSAT helps answer the question of "how to break down the heterogeneous consumption patterns in urban China?" In addition, our findings also show that China should be treated as several markets instead of one. Second, the QAIDS has not previously been applied to the study of food demand in urban China. Our results show that the QAIDS is superior to the AIDS; however, the degree of importance for the quadratic term decreases as demographic and censoring effects are considered in a demand system. Finally, 18 food items are broken down into five food subgroups and are estimated by a multi-stage censored QAIDS. Including this large food bundle in a demand system provides us detailed information of the relationship among food items.

Suggested Citation

  • Liu, Kang Ernest & Chern, Wen S., 2003. "Food Demand In Urban China: An Application Of A Multi-Stage Censored Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21919, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:21919
    DOI: 10.22004/ag.econ.21919
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    References listed on IDEAS

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    1. Wen S. Chern & Colin A. Carter & Shun-Yi Shei (ed.), 2000. "Food Security in Asia," Books, Edward Elgar Publishing, number 2150.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    4. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    5. Arthur Lewbel, 1985. "A Unified Approach to Incorporating Demographic or Other Effects into Demand Systems," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 1-18.
    6. C. Andrea Bollino & Federico Perali & Nicola Rossi, 2000. "Linear household technologies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 275-287.
    7. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    8. Arthur Lewbel, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 311-316.
    9. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    10. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, September.
    11. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
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    1. Beibei Wu & Xudong Shang & Yongfu Chen, 2021. "Household dairy demand by income groups in an urban Chinese province: A multistage budgeting approach," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 629-649, July.
    2. Fuller, Frank H. & Beghin, John C. & Rozelle, Scott, 2007. "Consumption of dairy products in urban China: results from Beijing, Shangai and Guangzhou," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 1-16.
    3. Dobson, William D., 2006. "Drivers of Change in China's Dairy Industry--Implications for the U.S. and World Dairy Industries," Discussion Papers 37488, University of Wisconsin-Madison, Babcock Institute for International Dairy Research and Development.
    4. 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.
    5. 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.
    6. Asci, Serhat & Ramaswamy, Karthik & Devadoss, Stephen & Konduru, Srinivasa P., 2020. "Modern Time Trade Wars: Chinese Retaliatory Tariffs vs California’s Tree Nuts industry," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304532, Agricultural and Applied Economics Association.
    7. Fuller, Frank & Huang, Jikun & Ma, Hengyun & Rozelle, Scott, 2006. "Got milk? The rapid rise of China's dairy sector and its future prospects," Food Policy, Elsevier, vol. 31(3), pages 201-215, June.

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    Demand and Price Analysis;

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