A Microeconometric Analysis of the U.S. Meat Demand

Price and expenditure elasticities and estimates of the effect of household demographic variables on U.S. meat demand are estimated using the newly released 1987–88 USDA household food consumption survey data. The USDA survey for the first time included variables reflecting respondents' concerns for health and diet information. A hybrid demand system, which combines a modified generalized addilog system and a level version Rotterdam demand system, is developed as the analytical framework. The micro econometric analysis takes into consideration the consumer selection problem, the missing-price problem, and the aggregation and quality variation problem. The most significant household characteristic and socio-economic variables are region, ethnic background, household size, urbanization, food planner, received health information, female household head employment status and proportion of food expenditure on away-from-home consumption. The results support the speculation of other time-series meat demand studies claiming both health concerns and convenience are the reasons for changes in consumer preference in favor of poultry and fish and in disfavor of red meat.     

Nutrition Transition and Changing Food Preferences in India

We present empirical evidence on how changes in food preferences have contributed to nutrition transition, where the dietary pattern of households shifts away from traditional staples. Using household-level time series cross-section survey data for India, we estimate time varying demand elasticities, revealing evidence of the declining importance of cereals in Indian household diets. The estimates show that Indian demand for cereals has become more income inelastic and price elastic. We also find that cereals are a substitute rather than a complement to animal products in household diets. Since changes in elasticities can only be attributed to variation in utility parameters, this indicates that cereals are losing favour with Indian households. These findings have implications for Indian food policy design and implementation.     

Household Food Consumption in a Developing Economy:

The primary objective of this paper is to describe household rice consumption patterns in Nigeria with evidence from Imo State, determine the nature, magnitude and direction of income, price and cross price elasticities of demand, and examine the factors influencing household rice consumption. A budget survey of 50 randomly selected rural and urban households in Imo State, Nigeria, interviewed. The survey was repeated for 14 months between November 1984 and January 1986, providing the data used for analysis. There were significant differences between urban and rural household per capita daily rice consumption. Income (expenditure) elasticity of demand was greater than unity, and decreased, as expected, from low to high income groups. Household income was the most important determinant of food consumption. The implications of these findings for food and international trade policy are discussed.     

Lithuania's food demand during economic transition

The linear approximate version of the almost ideal demand system (LA‐AIDS) model is estimated using data from the Lithuanian household budget survey (HBS) covering the period from July 1992 to December 1994. Price and real expenditure elasticities for 12 food groups were estimated based on the estimated coefficients of the model. Very little or nothing is known about the demand parameters of Lithuania and other former socialist countries, so the results are of intrinsic interest. Estimated expenditure elasticities were positive and statistically significant for all food groups, while all own‐price elasticities were negative and statistically significant, except for that of eggs which was insignificant. Results suggest that Lithuanian household consumption did respond to price and real income changes during their transition to a market‐oriented economy.     

Changing food consumption patterns in rural and urban Vietnam: Implications for a future food supply system

Rapid income growth and urbanisation could significantly change the composition of the food basket in many emerging economies. This study estimates a demand system, including 15 major food items in Vietnam, with multiyear household survey data. We find a large variation in the estimated price elasticities (–0.05 to –0.88) and expenditure elasticities (–0.16 to 2.56). Food types, urban status and income groups can explain this variation. We also find that the staple food, rice, is already an inferior good for rich urban households in Vietnam. Moreover, food preferences are evolving away from rice but towards animal proteins (fish, pork, chicken, eggs and milk), fruits and vegetables, irrespective of urban status and income groups. As the Vietnam economy continues to grow with a doubling of gross domestic product (GDP) in the next decade, per capita rice consumption in both urban and rural areas and across different income groups will continue to decline, whereas demand for other high‐value products will rise. Thus, government policy should focus on encouraging demand‐oriented food production. In addition, crop diversification at the farm level needs to improve substantially to meet the rising demand for these food products due to income growth and urbanisation.     

Household Food Demand Analysis in India

Price and expenditure elasticities and estimates of the effect of household demographic variables on Indian food items are estimated using a recent household survey data in rural and urban areas. Using a linear approximate almost ideal demand system (LA/AIDS), the results indicate that for commodity groups (milk and milk products; cereals and pulses; edible oils; meat, fish, and eggs; vegetables and fruits; other foods) demand is elastic only for milk and milk products in both rural and urban areas of India. The impact of demographic variables such as region, household size, education level of household head, and seasonality, was generally significant.     

Quantifying the structure of food demand in China: An econometric approach

This article examines food demand structure and its dynamics for 11 commodities in urban China. The analysis is based on household‐level expenditure survey data for two cross‐sectional surveys of Chinese households pertaining to food expenditure patterns during 1995 and 2003. Pre‐committed components of commodity demands, that are insensitive to economic variables, are explored. We use the generalized quadratic almost ideal demand system (GQAIDS) for its empirical superiority to the generalized almost ideal demand system (GAIDS), and estimate the associated parameters via full information maximum likelihood procedure (FIML) accounting for endogeneity of total expenditures on food for home consumption (FAH). We also use quality‐adjusted commodity unit values to control for quality differences resulting from commodity aggregation and food choice. Furthermore, we derive GQAIDS elasticity formulas, and estimate income elasticities without restrictions. The results partially support the hypothesis that an average Chinese household has incorporated elements of Western diet (fine grains) into traditional Chinese food diet over time. Moreover, the outcome of a simple test developed here points to possible preference changes for a majority of food staples under study.     

Food demand elasticities for Australia

There is renewed interest in robust estimates of food demand elasticities at a disaggregated level not only to analyse the impact of changing food preferences on the agricultural sector, but also to establish the likely impact of pricing incentives on households. Using data drawn from two national Household Expenditure Surveys covering the periods 1998/1999 and 2003/2004, and adopting an Almost Ideal Demand System approach that addresses the zero observations problem, this paper estimates a food demand system for 15 food categories for Australia. The categories cover the standard food items that Australian households demand routinely. Own‐price, cross‐price and expenditure elasticity estimates of the Marshallian and Hicksian types have been derived for all categories. The parameter estimates obtained in this study represent the first integrated set of food demand elasticities based on a highly disaggregated food demand system for Australia, and all accord with economic intuition.     

Green Food Consumption in China: Segmentation Based on Attitudes Toward Food Safety

ABSTRACT

The objectives of this report are twofold: to examine the demographic factors that drive demand for green food and to segment Chinese consumers based on their attitudes toward food safety. An online survey was used to collect consumer behavior information. A total of 402 responses were obtained covering participants who lived in 24 provinces and municipalities in China. Probit modeling, analysis of variance, and cluster analysis are used. Income, education, age, gender, presence of young children, household size, and overseas experience are variables that have an impact on green food purchase. Young, wealthy men, who have young children and live in a small household, are likely to buy green food. The survey shows that Chinese consumers are willing to pay a price premium for green food; however, price will be a major factor restricting the growth of the green food label in China, given market prices. Three segments―the “distrustful consumer,” the “ambivalent consumer,” and the “trusting consumer”―are identified for market segmentation purposes.     

A cross-section analysis of household demand for food and nutrients in Tanzania

Undernutrition and malnutrition are still problems of unacceptable proportions in many developing countries. However, the debate on the roles of income and other socio-economic variables such as women’s education and household size on food and nutrient demand continues. This study examines the demand for food and nutrients amongst households in Tanzania, using recent survey data. A quadratic almost ideal demand system (QUAIDS) is employed to estimate price and expenditure elasticities, as well as the impact of socio-economic variables on food demand patterns. A moment-based instrumental variable approach is then used to analyse the determinants of nutrient demand. The results show that income and other socio-economic variables exert significant effects on the demand for food and nutrients. The estimated expenditure elasticities for the nutrients range from 0.307 for iron to 1.26 for Vitamin B₁₂. The elasticities are higher for those micronutrients that are consumed through animal products and lower for those micronutrients that are mainly obtained through staple foods. These results reflect the higher expenditure elasticities for meat, fish, eggs, milk, and milk products, as well as fruits and vegetables, relative to cereals and pulses, reinforcing the assertion that the demand for Vitamins A and B₁₂, as well as calcium and zinc will increase with rising income.     

The Demand for Food Quality in Rural China

Many studies of food demand do not use actual prices but unit values, obtained by dividing expenditures by the quantity consumed. This can bias empirical analyses because unit values are not exogenous market prices; they reflect household food quality choices within each food category. This article develops a framework for assessing the resulting bias in income and price elasticities of demand and applies the framework to data for rural China. Empirical results indicate that households in rural China tend to consume higher-quality food as income increases, with a greater sensitivity to income for basic foods than for luxury foods.     

Consumer demand for diet quality: evidence from the healthy eating index

Few studies have been performed to use the detailed healthy eating index (HEI) to estimate consumer demand for diet quality. In this article, we apply household production theory to systematically estimate consumer demand for diet quality using the HEI developed by the U.S. Department of Agriculture. The results show that consumers have insufficient consumption of food containing dark green and orange vegetables, legumes and whole grains. Age and education have a significant impact on consumer demand for diet quality, but income does not. The own‐price elasticities of demand for diet quality are inelastic. Simulation of tax scenarios indicates that a tax on sugar‐sweetened beverage may be more efficient than a tax on fats, oils and salad dressing in improving consumer diet quality. This information is critical for policies and programs that are designed to improve healthy food choices, thereby reducing the social cost of public health.     

Demand for animal‐derived food in selected Asian countries: A system‐wide analysis

Food consumption patterns in Asia show a trend away from staples toward high protein food derived from animal and dairy products, fruit and vegetables, fats and oils. Such changes in food consumption patterns are due to rising incomes, urbanization, globalization, and modernization of marketing infrastructure. In this article, we analyze the demand for the animal‐derived food group comprising meat (chicken, beef, pork, and mutton), eggs and fish, and derive income and price elasticities in seven Asian countries using the system‐wide approach. Demand homogeneity and Slutsky symmetry properties were tested and found to be compatible with the data. Our findings reveal that animal‐derived food as a group is a necessity (except in Taiwan) and its demand is price inelastic (except in Taiwan and Sri Lanka). The implied unconditional demand elasticities reveal that, in all countries (except beef in Japan and Taiwan), chicken, beef, pork, mutton, eggs and fish (except in Taiwan) are all necessities and the demand for all types of animal‐derived food in all seven countries are mostly price inelastic. The cross‐price elasticity estimates are mostly found to be positive, meaning that there is a higher degree of substitutability between chicken, beef, pork, mutton, eggs, and fish.     

Estimates of Food Demand Elasticities for Great Britain: 1972–1994

This paper reports the results of the estimation of Almost Ideal Demand Systems (AIDS) for UK food demand using time series data from the National Food Survey. A Bayesian approach is used to impose curvature restrictions in the model. The aim is to obtain estimates of Hicksian, Marshallian and expenditure demand elasticities for UK food which are fully consistent with static optimisation by consumers. Overall, the results concur with expectations as aggregate food demand is both price and income inelastic and individual food categories are mostly price and income inelastic. The notable exception being meat, specifically pork, beef and chicken.     

Measurement Error in Recall Surveys and the Relationship between Household Size and Food Demand

Variation in household survey design and implementation is used to obtain evidence of nonrandom measurement error in recall surveys of household expenditure. These surveys, which are used especially in developing countries, appear to have measurement errors in food expenditures and in food budget shares that are correlated with household size. These correlated errors may be part of the explanation for a puzzling pattern of falling food demand with rising household size in poorer countries.     

Quasi- and Simulated-Likelihood Approaches to Censored Demand Systems: Food Consumption by Food Stamp Recipients in the United States

A quasi-maximum-likelihood estimator is proposed and applied to a censored Translog demand system for foods, using a sample of food stamp recipients in the United States. The procedure produces remarkably close parameter and elasticity estimates to those of the simulated-maximum-likelihood procedure. A two-step procedure is also considered but it produces different elasticities. Demands are found to be price elastic for pork and fish but price inelastic for all other food products. Gross complementarity and net substitutability are obvious but these cross-price effects are much less pronounced than own-price and total food expenditure effects.     

Price Endogeneity and Food Demand in Urban China

Price endogeneity has been ignored in previous analyses of food demand in urban China. We exploit data provided by the China National Bureau of Statistics on agricultural commodity supply shifters and use reduced‐form price equations to account for price endogeneity. 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 substantially biased elasticities and misleading estimates of future food demand in China.     

Implications of high food prices for poverty in Pakistan

The study estimates the impacts of rising world food prices on poverty in rural and urban areas of Pakistan. Household income and expenditure data for 2004/2005 is used to estimate compensated and uncompensated price and expenditure elasticities using the linear approximation of the almost ideal demand system. Taking the unexpected component of higher domestic food prices in 2007/2008, own and cross price compensated elasticities are used to derive the changes in the quantity consumed, food expenditure and impacts on poverty assuming the food crisis happened in 2004/2005. The results indicate that poverty increased by 34.8%, severely affecting the urban areas where poverty increased by 44.6% as compared to 32.5% in rural areas. The estimates show that 2.3 million people are unable to reach even one‐half of poverty line expenditures while another 13.7 million are just below and 23.9 million are just above the poverty line. In the short run, it is important to ensure food availability to these people. In the long run, the policy environment of subsidizing urban food consumers by keeping wheat prices lower than the international price, needs to be reconsidered to provide the right incentives to increase food availability.     

Impacts in Uganda of rising global food prices: the role of diversified staples and limited price transmission

This study assesses the potential impact of rising world food prices on the welfare of Ugandan households. While Uganda experienced sharply higher food prices in 2008, as a landlocked, food‐exporting country the causes of those price changes were mainly regional and indirect rather than directly transmitted from global markets. Using trade volumes, food prices, and household survey data we describe how Uganda, unlike some other countries, is partially shielded from direct impacts of global food price movements. Although the majority of Ugandans are net food buyers, the adverse impact at household‐level of rising global prices is moderated by the relatively large quantity and range of staples consumed that come from home production. Moreover, several of these are not widely traded. Some population groups in Uganda are vulnerable to rising food prices, however, primarily those for whom maize is an important staple, including those dependent upon humanitarian relief and the urban poor. Only a relatively small group of Ugandan households will benefit directly and immediately from rising food prices—the significant net sellers of food crops constituting between 12% and 27% of the population. In this assessment we do not estimate the level and extent of wider second round effects from these higher prices.     

Global market shocks and poverty in Vietnam: the case of rice

World food prices have experienced dramatic increases in recent years. These “shocks” affect food importers and exporters alike. Vietnam is a major exporter of rice, and rice is also a key item in domestic production, employment, and consumption. Accordingly, rice price shocks from the world market have general equilibrium impacts and as such, their implications for household welfare are not known ex ante. In this article, we present a framework for understanding the direct and indirect welfare effects of a global market shock of this kind. We quantify transmission of the shock from global indicator prices to domestic markets. Then we use an applied general equilibrium model to simulate the economic effects of the price changes. A recursive mapping to a nationally representative household living standards survey permits us to identify in detail the ceteris paribus effects of the shock on household incomes and welfare. In this analysis, interregional and intersectoral labor market adjustments emerge as key channels transmitting the effects of global price shocks across sectors and among households.