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Dynamic Food Demand in Urban China

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  • Zhou, De
  • Yu, Xiaohua
  • Herzfeld, Thomas

Abstract

PURPOSE – The purpose of this paper is to investigate dynamic food demand in urban China, with use of a complete dynamic demand system - DLES-LA/DAIDS, which pushes forward the techniques of demand analysis. DESIGN/METHODOLOGY/APPROACH – We employ a transitionary demand process and develop a new approach of complete demand system with a two-stage dynamic budgeting : an additively separable dynamic linear expenditure system (DLES) in the first stage and a linear approximate dynamic almost ideal demand system (LA/DAIDS). Employing provincial aggregate data (1995-2010) from the China urban household surveys (UHS), we estimated the demand elasticities for primary food products in urban China. FINDINGS – Our results indicate that most primary food products are necessities and price-inelastic for urban households in China. We also found that the dynamic model tends to yield relatively smaller expenditure elasticities in magnitude than the static models do due to dynamic adjusting costs, such as habit formation, switching costs, and learning process. PRACTICAL IMPLICATIONS – The research contributes to the demand analysis methodologically, and can be used for better projections in policy simulation models. ORIGINALITY/VALUE – This paper methodologically releases the restrictive assumption of instant adjustment in static models and allows consumers to make a dynamic decision in food consumption. Empirically, we introduce a new complete dynamic demand model and carry out a case study with the use of urban household data in China.

Suggested Citation

  • Zhou, De & Yu, Xiaohua & Herzfeld, Thomas, 2014. "Dynamic Food Demand in Urban China," GlobalFood Discussion Papers 168527, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  • Handle: RePEc:ags:gagfdp:168527
    DOI: 10.22004/ag.econ.168527
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    2. Huffman, Sonya & Rizov, Marian, 2016. "Life Satisfaction and Diet: Evidence from the Russian Longitudinal Monitoring Survey," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235148, Agricultural and Applied Economics Association.
    3. 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).
    4. Yu, Xiaohua & Abler, David, 2016. "Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China," Food Policy, Elsevier, vol. 63(C), pages 36-43.
    5. Sheng, Yu & Song, Ligang, 2019. "Agricultural production and food consumption in China: A long-term projection," China Economic Review, Elsevier, vol. 53(C), pages 15-29.
    6. Luo, Hengrong & Yu, Xiaohua, 2020. "Meat Consumption, Dietary Structure and Nutrition Transition in China," GlobalFood Discussion Papers 305415, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    7. Guanghua Han & Xujin Pu & Bo Fan, 2017. "Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
    8. Braha, Kushtrim & Cupak, Andrej & Qineti, Artan & Pokrivcak, Jan, 2018. "Food Demand System in Transition Economies: Evidence from Kosovo," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 272050, European Association of Agricultural Economists.
    9. Burggraf, Christine & Kuhn, Lena & Zhao, Qi-ran & Teuber, Ramona & Glauben, Thomas, 2015. "Economic growth and nutrition transition: An empirical analysis comparing demand elasticities for foods in China and Russia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(6), pages 1008-1022.
    10. Andrej Cupák & Ján Pokrivčák & Marian Rizov, 2016. "Diverzifikácia spotreby potravín na Slovensku [Diversity of Food Consumption in Slovakia]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(5), pages 608-626.
    11. Huang, Yingying & Tian, Xu, 2019. "Food accessibility, diversity of agricultural production and dietary pattern in rural China," Food Policy, Elsevier, vol. 84(C), pages 92-102.
    12. Pokrivcak, Jan & Cupak, Andrej & Rizov, Marian, 2015. "Household food security and consumption patterns in Central and Eastern Europe: the Case of Slovakia," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207287, Italian Association of Agricultural and Applied Economics (AIEAA).
    13. Ortuzar, Iban & Serrano, Ana & Xabadia, Àngels, 2023. "Macroeconomic impacts of water allocation under droughts. Accounting for global supply chains in a multiregional context," Ecological Economics, Elsevier, vol. 211(C).
    14. Yuquan Chen & Xiaohua Yu, 2022. "Estimating market power for the Chinese fluid milk market with imported products," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 386-401, April.

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    More about this item

    Keywords

    Agricultural and Food Policy; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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