Please wait a minute...
Journal of Integrative Agriculture  2021, Vol. 20 Issue (6): 1701-1715    DOI: 10.1016/S2095-3119(20)63582-1
Special Issue: 农业经济与管理合辑Agricultural Economics and Management
Agricultural Economics and Management Advanced Online Publication | Current Issue | Archive | Adv Search |
Impacts of household income on beef at-home consumption: Evidence from urban China
ZHU Wen-bo1, CHEN Yong-fu1, ZHAO Jing2, WU Bei-bei3 
1 College of Economics and Management, China Agricultural University, Beijing 100083, P.R.China
2 Appalachian Laboratory, University of Maryland Center for Environmental Science, Maryland 21532, USA
3 College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  

随着居民收入的快速增长,中国牛肉消费量已从2000年的500万吨增长到了2019年的770万吨,但与猪肉和禽肉相比仍处于较低水平。在中国中等收入群体不断扩大的背景下,加深收入增长对牛肉消费影响的认识十分必要,这对于展望未来牛肉消费需求并为国内牛肉产业提供决策参考具有重要价值。本文基于国家统计局的32878户城镇居民家庭调查数据,运用反双曲正弦转换(IHS)的广义双栏模型估计了出城镇不同收入组家庭的牛肉需求收入弹性,并对未来牛肉消费的可能变动趋势进行了模拟分析。实证分析结果表明,在家牛肉消费需求的收入弹性从低收入组的0.169增长到高收入组0.671。不同收入增长情景的模拟分析结果表明,预计牛肉消费量在10年内将增长12.0%~38.8%,在15年内将增长18.6%~70.5%。本文的研究发现可以为决策者和其他利益相关者比如国内牛肉生产商和世界牛肉出口商提供有关未来牛肉需求变动趋势的定量依据,也说明了提高中国牛肉供给系统韧性的紧迫性




Abstract  
Beef consumption in China has increased substantially from 5.0 million tons in 2000 to 7.7 million tons in 2019 thanks to rapid income growth, but still remains low compared to pork and poultry consumption.  Improving the understanding about the impacts of household income on beef consumption in China is necessary to forecast future beef demand and inform the domestic beef industry, especially in the context of unprecedented expansion of middle income class in China.  Based on survey data of 32 878 urban households collected by the National Bureau of Statistics of China, we employed the inverse hyperbolic sine (IHS) double-hurdle model to estimate income elasticities of beef demand across different income groups and simulated possible trends of future beef consumption of Chinese urban residents.  The empirical results showed that the unconditional income elasticities of beef consumption at home vary between 0.169 for the low-income group and 0.671 for the high-income group.  The simulated results indicated that beef consumption is expected to increase by 12.0 to 38.8% in 10 years and by 18.6 to 70.5% in 15 years under distinct income growth scenarios.  Our findings provide practical insights for policy makers and other stakeholders about future beef demand, such as potential opportunities embedded in rising beef demand for domestic producers and world beef exporters as well as the urgency of improving the supply chain resilience of beef in China.
Keywords:  beef consumption        income elasticity        income growth        IHS double-hurdle model        urban China  
Received: 10 December 2019   Accepted:
Fund: This work was supported by the National Natural Science Foundation of China (71473251).
Corresponding Authors:  Correspondence CHEN Yong-fu, E-mail: chenyf@cau.edu.cn   
About author:  ZHU Wen-bo, E-mail: zhuwenbo@cau.edu.cn

Cite this article: 

ZHU Wen-bo, CHEN Yong-fu, ZHAO Jing, WU Bei-bei. 2021. Impacts of household income on beef at-home consumption: Evidence from urban China. Journal of Integrative Agriculture, 20(6): 1701-1715.

Bai J F, Seale Jr J L, Wahl T I. 2020. Meat demand in China: To include or not to include meat away from home? Australian Journal of Agricultural and Resource Economics, 64, 150–170.
Bai J F, Wahl T I, McCluskey J J. 2008. Fluid milk consumption in urban Qingdao, China. Australian Journal of Agricultural and Resource Economics, 52, 133–147.
Bilgic A, Yen S T. 2013. Household food demand in Turkey: A two-step demand system approach. Food Policy, 43, 267–277.
Brown S, Greene W H, Harris M N, Taylor K. 2015. An inverse hyperbolic sine heteroskedastic latent class panel Tobit model: An application to modelling charitable donations. Economic Modelling, 50, 228–236.
Chen D H, Abler D, Zhou D, Yu X H, Thompson W. 2016. A meta-analysis of food demand elasticities for China. Applied Economic Perspectives and Policy, 38, 50–72.
Chen J, Lobo A, Rajendran N. 2014. Drivers of organic food purchase intentions in mainland China - evaluating potential customers’ attitudes, demographics and segmentation. International Journal of Consumer Studies, 38, 346–356.
Chen Q. 2010. Study on the meat consumption of urban and rural residents in China. PhD thesis, Chinese Academy of Agricultural Sciences, Beijing. (in Chinese)
Chen Y F, Zhu W B, Chen Z Y. 2018. The determinants of mutton consumption-at-home in urban China using an IHS double-hurdle model. British Food Journal, 120, 952–968.
Chengappa P G, Umanath M, Vijayasarathy K, Babu P, Manjunatha A V. 2016. Changing demand for livestock food products: An evidence from Indian households. Indian Journal of Animal Science, 86, 1055–1060.
Chern W S, Wang G. 1994. The Engel function and complete food demand system for Chinese urban households. China Economic Review, 5, 35–57.
Cox T L, Wohlgenant M K. 1986. Prices and quality effects in cross-sectional demand analysis. American Journal of Agricultural Economics, 68, 908–919.
Deaton A, Muellbauer J. 1980. An almost ideal demand system. The American Economic Review, 70, 312–326.
Fan S G, Cramer G, Wailes E. 1994. Food demand in rural China: Evidence from rural household survey. Agricultural Economics, 11, 61–69.
FAO (Food and Agriculture Organization). 2020. Online statistical database: Food balance. FAOSTAT. [2020-07-02]. http://www.fao.org/faostat/en/#data/FBS
Fuller F, Beghin J, Rozelle S. 2007. Consumption of dairy products in urban China: Results from Beijing, Shanghai and Guangzhou. Australian Journal of Agricultural and Resource Economics, 51, 459–474.
Gale F, Huang K. 2007. Demand for Food Quantity and Quality in China. Economic Research Report No. 32. U.S. Department of Agriculture (USDA), Washington, D.C., USA.
Gandhi V P, Zhou Z Y. 2014. Food demand and the food security challenge with rapid economic growth in the emerging economies of India and China. Food Research International, 63, 108–124.
Gao X M, Wailes E J, Cramer G L. 1995. Double-hurdle model with bivariate normal errors: An application to U.S. rice demand. Journal of Agricultural & Applied Economics, 27, 363–376.
Gould B W. 2002. Household composition and food expenditures in China. Agribusiness, 18, 387–407.
Gould B W, Dong D S. 2004. Product quality and the demand for food: The case of urban China. In: The 2004 American Agricultural Economics Association Annual Meeting. July 1–4. Denver, Colorado.
Gould B W, Villarreal H J. 2006. An assessment of the current structure of food demand in urban China. Agricultural Economics, 34, 1–16.
Greene W. 2004. The behavior of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects. The Econometrics Journal, 7, 98–119.
Han X R, Chen Y F. 2016. Food consumption of outgoing rural migrant workers in urban area of China: A QUAIDS approach. China Agricultural Economic Review, 8, 230–249.
Han X R, Yang S S, Chen Y F, Wang Y C. 2019. Urban segregation and food consumption: The impacts of China’s household registration system. China Agricultural Economic Review, 11, 583–599.
Headey D, Ruel M. 2020. The COVID-19 nutrition crisis: What to expect and how to protect. IFPRI COVID-19 Blog Series. [2020-4-23]. https: //www.ifpri.org/blog/covid-19-nutrition-crisis-what-expect-and-how-protect
Hovhannisyan V, Gould B W. 2011. Quantifying the structure of food demand in China: An econometric approach. Agricultural Economics, 42, 1–18.
Huang J, Rozelle S. 1998. Market development and food demand in rural China. China Economic Review, 9, 25–45.
Huang J K, Wei W, Cui Q, Xie W. 2017. The prospects for China’s food security and imports: Will China starve the world via imports? Journal of Integrative Agriculture, 16, 2933–2944.
Huang K S, Gale F. 2009. Food demand in China: Income, quality, and nutrient effects. China Agricultural Economic Review, 1, 395–409.
Jensen H H, Yen S T. 1996. Food expenditures away from home by type of meal. Canadian Journal of Agricultural Economics, 44, 67–80.
Jones A M, Yen S T. 2000. A Box-Cox double-hurdle model. The Manchester School, 68, 203–221.
Leibenstein H. 1975. On the economic theory of fertility: A reply to Keeley. Journal of Economic Literature, 13, 469–472.
Liu H B, Parton K A, Zhou Z Y, Cox R. 2009. At-home meat consumption in China: An empirical study. Australian Journal of Agricultural and Resource Economics, 53, 485–501.
Liu K E, Chern W S. 2004. Translating and scaling of budget shares: An empirical analysis of Chinese urban household demand for meat. In: The 2004 American Agricultural Economics Association Annual Meeting. July 1–4. Denver, Colorado.
Lucas S, Salladarré F, Brécard D. 2018. Green consumption and peer effects: Does it work for seafood products? Food Policy, 76, 44–55.
Ma H Y, Rae A, Huang J K, Rozelle S. 2004. Chinese animal product consumption in the 1990s. Australian Journal of Agricultural and Resource Economics, 48, 569–590.
Mao Y W, Hopkins D L, Zhang Y M, Luo X. 2016. Consumption patterns and consumer attitudes to beef and sheep meat in China. American Journal of Food and Nutrition, 4, 30–39.
McDonald J F, Moffitt R A. 1980. The uses of Tobit analysis. The Review of Economics and Statistics, 62, 318–321.
Min S, Bai J F, Seale J, Wahl T. 2015. Demographics, societal aging, and meat consumption in China. Journal of Integrative Agriculture, 14, 995–1007.
NBSC (National Bureau of Statistics of China). 2019. China Yearbook of Household Survey. China Statistics Press, Beijing. (in Chinese)
OECD-FAO (Organization for Economic Cooperation and Development-Food and Agriculture Organization). 2019. OECD-FAO Agricultural Outlook 2019–2028. [2019-12-20]. http://www.agri-outlook.org
Okrent A, Alston J. 2012. The Demand for Disaggregated Food-Away-From-Home and Food-at-Home Products in the United States. USDA-ERS Economic Research Report, No.139.
Park J L, Holcomb R B, Raper K C, Capps O. 1996. A demand systems analysis of food commodities by US households segmented by income. American Journal of Agricultural Economics, 78, 290–300.
Pieroni L, Salmasi L. 2014. Fast-food consumption and body weight: Evidence from the UK. Food Policy, 46, 94–105.
Popkin B M. 2006. Global nutrition dynamics: The world is shifting rapidly toward a diet linked with noncommunicable diseases. The American Journal of Clinical Nutrition, 84, 289.
Rude J, Surry Y, Kron R. 2014. A generalized double-hurdle model of Swedish gambling expenditures. Applied Economics, 46, 4151–4163.
Seale J L, Bai J F, Wahl T I, Lohmar B T. 2012. Household Engel curve analysis for food, Beijing, China. China Agricultural Economic Review, 4, 427–439.
Shonkwiler J S, Yen S T. 1999. Two-step estimation of a censored system of equations. American Journal of Agricultural Economics, 81, 972–982.
Shono C, Suzuki N, Kaiser H M. 2000. Will China’s diet follow western diets? Agribusiness, 16, 271–279.
Skeels C L, Vella F. 1999. A Monte Carlo investigation of the sampling behavior of conditional moment tests in Tobit and Probit models. Journal of Econometrics, 92, 275–294.
Song F, Cho M S. 2017. Geography of food consumption patterns between South and North China. Foods, 6, 34.
Song S F. 2015. Challenges to China after becoming an upper-middle income country. Chinese Economy, 48, 1–4.
Sun Z, Yu Q, Lin H. 2015. The environmental prospects of cultured meat in China. Journal of Integrative Agriculture, 14, 234–240.
Ulubasoglu M, Mallick, D, Wadud M, Hone P, Haszler H. 2016. Food demand elasticities for Australia. Australian Journal of Agricultural and Resource Economics, 60, 177–195.
UNDESAPD (United Nations, Department of Economic and Social Affairs, Population Division). 2018. World Urbanization Prospects: The 2018 Revision. [2020-9-21]. http://creativecommons.org/licenses/by/3.0/igo/
Wang J J, Chen Y F, Zheng Z H, Si W. 2014. Determinants of pork demand by income class in urban western China. China Agricultural Economic Review, 6, 452–469.
Wooldridge J M. 2002. Econometric Analysis of Cross Section and Panel Data. MIT Press, Cambridge, MA.
Wu B B, Chen Y F, Si W, Chien H P. 2014. A double-hurdle analysis of demand for powdered milk: Evidence from household survey data in an urban Chinese province. Agribusiness, 30, 331–344.
Yen S T, Fang C, Su S H. 2004. Household food demand in urban China: A censored system approach. Journal of Comparative Economics, 32, 564–585.
Yen S T, Huang C L. 1996. Household demand for finfish: A generalized double-hurdle model. Journal of Agricultural and Resource Economics, 21, 220–234.
Yen S T, Jones A M. 1997. Household consumption of cheese: An inverse hyperbolic sine double-hurdle model with dependent errors. American Journal of Agricultural Economics, 79, 246–251.
Yu X H. 2015. Meat consumption in China and its impact on international food security: Status quo, trends, and policies. Journal of Integrative Agriculture, 14, 989–994.
Yu X H, Abler D. 2009. The demand for food quality in rural China. American Journal of Agricultural Economics, 91, 57–69.
Zhang F, Huang C L, Lin B H, Epperson J E. 2008. Modeling fresh organic produce consumption with scanner data: A generalized double hurdle model approach. Agribusiness, 24, 510–522.
Zhang H F, Wang J, Martin W. 2018. Factors affecting households’ meat purchase and future meat consumption changes in China: A demand system approach. Journal of Ethnic Foods, 5, 24–32.
Zhang Y M, Diao X S, Chen K Z, Robinson S, Fan S G. 2020. Impact of COVID-19 on China’s macroeconomy and agri-food system - an economy-wide multiplier model analysis. China Agricultural Economic Review, 12, 387–407.
Zheng Z H, Gao Y, Zhao Y Y. 2016. Impact of income growth on food consumption patterns in urban China. China Economic Quarterly, 15, 263–288. (in Chinese)
Zheng Z H, Henneberry S R. 2010. The impact of changes in income distribution on current and future food demand in urban China. Journal of Agricultural and Resource Economics, 35, 51–71.
Zheng Z H, Henneberry S R. 2011. Household food demand by income category: Evidence from household survey data in an urban Chinese province. Agribusiness, 27, 99–113.
Zheng Z H, Henneberry S R, Zhao Y Y, Gao Y. 2019. Predicting the changes in the structure of food demand in China. Agribusiness, 35, 301–328.
Zhong F N, Xiang J, Zhu J. 2012. Impact of demographic dynamics on food consumption: A case study of energy intake in China. China Economic Review, 23, 1011–1019.
No related articles found!
No Suggested Reading articles found!