2007
DOI: 10.1016/j.chieco.2006.02.006
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Price elasticities of key agricultural commodities in China

Abstract: SHORT SUMMARYWe estimate a simultaneous equations model of Chinese markets for wheat, rice, corn, pork, and poultry. Elasticities for consumption, feed demand, production, stocks demand, and foreign trade fall within the range of results from previous studies, and are reasonable magnitudes. China has market power in the trade for all commodities. ABSTRACTWe estimate a simultaneous equations model of Chinese agricultural markets which treats China as a large trading country, and is built around supply-utilizati… Show more

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Cited by 32 publications
(20 citation statements)
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“…This implies that, despite the complex changes in the Chinese food structure, migration of rural population to urban China on a massive scale from early 1990s onward might have contributed to other grains becoming a normal good in urban areas. Zhuang and Abbott (2007) used a broader geographic coverage over 1978–2001, and reported an income elasticity of rice (0.34) that is close to the respective measure in our study in 2003 (0.4), however, they obtained quite inelastic estimates for pork and poultry (0.14, 0.23 vis‐à‐vis our respective measures of 1.14, 1.6 in 2003). While cross study comparisons may be useful, it should be borne in mind that the types of data and methodologies vary vastly from one application to another.…”
Section: Econometric Analysis Of Pre‐committed Food Demandsupporting
confidence: 71%
“…This implies that, despite the complex changes in the Chinese food structure, migration of rural population to urban China on a massive scale from early 1990s onward might have contributed to other grains becoming a normal good in urban areas. Zhuang and Abbott (2007) used a broader geographic coverage over 1978–2001, and reported an income elasticity of rice (0.34) that is close to the respective measure in our study in 2003 (0.4), however, they obtained quite inelastic estimates for pork and poultry (0.14, 0.23 vis‐à‐vis our respective measures of 1.14, 1.6 in 2003). While cross study comparisons may be useful, it should be borne in mind that the types of data and methodologies vary vastly from one application to another.…”
Section: Econometric Analysis Of Pre‐committed Food Demandsupporting
confidence: 71%
“…The price elasticity of supply in this study was assumed to be inelastic (Table 2), which was also reflected in previous research (Griffith et al, 2001;Zhuang and Abbott, 2007). As wheat is the most widely grown arable crop in South East England (0.2 million ha, 20.4% of total farmed area in this region, average from 2010 to 2014) (DEFRA, 2016b, 2016c), farmers would have limited land to increase the percentage of production if wheat price increases (Jansson and Heckelei, 2011).…”
Section: Discussionmentioning
confidence: 76%
“…Researchers who examine the consumption structure in rural China focus primarily on the structure of household food consumption (Yen et al ; Gould and Villarreal ; Zhuang and Abbott ; Zheng and Henneberry ). These studies are based on field survey data obtained before 2005 and are often from different sources, which may lead to differences in estimates on price and income elasticity.…”
Section: Introductionmentioning
confidence: 99%
“…A critical requirement to accurately estimate the QUAIDS model is the selection of appropriate variables. Given data limitations, a common practice in empirical work is to treat household consumption expenditure and price as two predominant factors in the analysis of rural families’ food consumption structure (Zhuang and Abbott ; Huang et al ). Some scholars have extended the scope by considering other influencing factors, such as household size, income, number of children of different ages, number of elderly members, age, and educational attainment of household heads, as well as regional dummy variables (Ma et al ; Liu and Zhong ; Yu et al ; Zheng et al ; Hovhannisyan et al ).…”
Section: Introductionmentioning
confidence: 99%