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The purpose of this paper is to evaluate the effects of price and income changes on food and nutrient demand of rural households by including own-produced food and production-side effects in the demand estimation to correct potential measurement bias in the income and price elasticities for rural households in underdeveloped areas. Simulation results of income and grain price changes on food and nutrition security are provided for economic nutrition security policy applications.

This study analyzes survey data of 1,555 households from underdeveloped rural areas of China to find out how price and income changes affect food and nutrition insecurity of rural households. The authors employ the quadratic almost ideal demand system (QUAIDS) in a two-stage budgeting framework, using quality adjusted prices that were retrieved with regressions of the difference between the unit value surveyed at household level and its village average on household characteristics. The bias correction is implemented by using an augmented IV (instrumental variable) method, in which each market price is instrumented with farm-specific variables. Important macro- and micronutrient elasticities are computed for (a) households with agriculture as main income and (b) other households (of which still many have agriculture as a side business). Finally, the authors use these elasticities to simulate how changes in income or grain prices affect the food and nutrition security in the studied areas.

In general, food income elasticities of agricultural households are at a higher level than those for other households, and so are the food price elasticities. Income changes also have a greater nutritional effect on agricultural households than on other households. Nutrient income elasticities ranged from 0.22 (energy) to 0.27 (Vitamin A) for agricultural households and from 0.19 (energy) to 0.23 (Vitamin A) for other households. Grain price increases have greater effect on nutritional status of non-agricultural households, while a grain price reduction is not clearly favoring the nutritional situation of a particular household group.

This demand study contributes to the literature by taking into account differences in consumption of own production between households and the potential endogeneity of prices resulting thereof. The authors also demonstrate that merely reporting nutrient elasticities might not be sufficient for policy recommendations, and simulations should be reported as a valuable addition.

The purpose of this study is to assess the impact of rising food prices on food demand and nutrient intake among rural–urban migrants and whether such impact varies across income classes.

Using data from the China Health and Nutrition Survey (CHNS), this study adopts a quadratic almost ideal demand system (QUAIDS) for food demand elasticity and an indirect estimation method for nutrient elasticity to investigate the effects of rising food prices on food demand and nutrient intake among rural–urban migrants.

The estimated results indicate that an increase in the price of pork alone would lead to a larger reduction in most nutrients among rural–urban migrants than other single targeted food group, and a simultaneous rise in the price of all food groups would have a remarkably adverse effect on the nutritional status of rural–urban migrants in comparison to the nutritional effects of a rise in one targeted food group. In addition, the nutritional effects of food prices across income classes show that the nutritional status is particularly vulnerable to rising food prices among low-income rural–urban migrants.

This paper focuses on analyzing the impact of rising food prices on the nutritional status of rural–urban migrants, a topic that is very limited in the literature. This study provides a fresh look at the effect of volatile food prices on food demand and nutrient intake among rural–urban migrants. The results indicate that income growth would have a remarkable positive effect on nutrient intake for rural–urban migrants, especially for low-income rural–urban migrants. However, an increment in nutrients due to a growth in income would not be far from enough to cover the reduction in nutrients as a result of a simultaneous rise in price of all the studied food categories at the same rate.

The purpose of this paper is to investigate aggregated apparel demand in the USA and Japan and to assess the positions of apparel products manufactured in the USA and Japan in comparison to imported apparel.

Based on Porter's industry competitiveness theory as a theoretical framework, the two‐step demand analysis, time‐series market analysis and elasticities of demand using “Almost ideal demand system” was conducted in order to reveal the overall market conditions of the USA and Japan and the market positions of domestically manufactured and imported apparel products in both countries.

Regardless of the country of origin, US consumers were price conscious in purchasing apparel products because they decreased purchase for not only domestically produced products but also imported products when prices increased. However, Japanese consumers' price concept toward apparel products was dual. They increased their purchase of domestically made products if the price was higher, and decreased their purchase of imported products.

This paper provides a framework for the apparel industry competitiveness assessment with regard to the demand‐side analysis of Porter's competitiveness theory. Moreover, there is no research in the current literature that assessed the US apparel demand with regard to industry competitiveness and a cross national view, especially compared with the Japanese apparel industry.

This paper aims to identify the income and price elasticities of demand for residential electricity in Latin America and the Caribbean (LAC) and to verify their main determinants.

Meta-analysis and meta-regression methods were applied. After collecting and filtering journal articles, the authors obtained a sample composed of 76 studies covering 1979–2020.

The results show that the LAC's income elasticity is approximately 0.20 and 0.92 for the short and long term, respectively. The LAC's price elasticity is approximately −0.37 and −0.46 for the short and long term, respectively. Furthermore, the estimates are affected by the data structure, the estimation method used and the sampling period.

The authors close a gap in the literature by analyzing the price and income elasticities of demand through meta-analysis and meta-regression.

Previous studies conducted for developed countries like the United States, Canada, and the United Kingdom have often found charitable giving by individuals to depend on income, the tax price of giving, and other variables. This article makes use of confidential tax file data to conduct a similar study for Singapore, a rapid‐growing newly‐industrializing country. The results indicate that disposable income, the tax price of giving, donor’s age and educational attainment are important determinants of charitable giving by individuals. Donations are found to be income‐inelastic but highly price‐elastic. Thus, lowering the price of giving through tax incentives can be very effective in encouraging private donations to charity.

The purpose of this paper is to investigate structural changes in the elasticity of demand for wine in the Province of Ontario and in Canada as a whole. It will provide academic researchers and practitioners with a better understanding about structural changes in the levels of wine demand elasticities over time. It will also help the relevant governments and wine business establishments in developing taxation policy and business decisions.

The Kalman filter method, in conjunction with the Chow test, is applied to investigate structural changes in the elasticity of demand for wine. The Chow test is used for primary investigations of structural changes in the elasticity of demand for wine over time, whereas the Kalman filter method provides information about the behavior of the elasticity coefficients over time.

The Chow test reveals that structural changes in wine demand for Ontario are more pronounced than those for Canada as a whole. The Kalman filter results indicate that increased (decreased) government taxation could be an effective tool for discouraging (encouraging) consumption of wine. The analysis of own‐price elasticity suggests that the effects of increased government taxation on wine consumption be totally unexpected. Cross‐price elasticity coefficients change their signs over time, suggesting that some of the goods that are considered to be complements may become substitutes. Income and unemployment levels have different effects on wine consumption in Ontario and in Canada as a whole.

There may be variation in results by wine color (red or white), country of origin (imported or domestic), or price (premium or non‐premium).

Understanding changes in the elasticity of demand structure for wine over time would help policy makers at the provincial and federal levels come up with effective tools for controlling consumption of wine over time, including their taxation policies. For the wine business establishments, the information on consumer response is important for pricing purposes.

The Kalman filter has not previously been used to examine structural changes in the demand for wine in Canada.

Given the fact that the income disparity has become extremely severe in rural China, the purpose of this paper is to examine heterogeneity in food consumption among various income classes and to investigate the impact of changes in income distribution patterns on food demand in rural China.

In this study, the authors partition the households into five income classes according to the distribution of household per capita net income. Using household data drawn from the China Health and Nutrition Survey in 2011, a two-stage demand model is applied to estimate a food demand system for each of the income classes. After obtaining the estimated income elasticities of eight studied food groups for each income class, the authors then examine the responsiveness of food demand to the changes in income distribution by means of four scenarios with varying income distribution.

The empirical results indicate that substantial differences in food consumption exist across various income classes. Specifically, the lowest-income households are more sensitive to price and income changes for most studied food groups than the highest-income households are. In general, income responsiveness is higher for meats, aquatic products and dairy products. Based on estimated income elasticities, the projected food consumption under different income distribution patterns shows that changes in income distribution have significant influences on food consumption. In addition, the authors conclude that a more equal distribution of income would be associated with a higher demand for food in rural China.

This paper employs a two-stage demand model to estimate food demand in rural China by income classes. The results imply substantial differences in food demand for various income classes. Therefore, income distribution should be taken into account instead of an average estimation for the population as a whole when investigating food demand in rural China. Given the significant changes in income distribution in rural China, this study provides several important policy implications to alleviate income inequality and poverty, as well as to improve nutrition for lower-income classes.

This paper aims to understand housing demand of urban Indian households in terms of housing and household-level characteristics. Because a house is a bundle of certain characteristics which vary across houses, each characteristic has an implicit price. Finding this implicit price for certain important characteristics is the first objective of this study. The second objective of the paper is to compute the income elasticity and price elasticity of housing demand for these cities.

To achieve comparable estimates, household-level data from India’s National Sample Survey Organisation housing surveys for the years 2002 and 2008-2009 have been used. A hedonic price function is estimated using ordinary least squares (OLS) and Box-Cox functional forms to estimate the implicit prices of housing characteristics. This exercise is attempted for owned and rented houses separately. Demand function required for computing the elasticities, uses the hedonic price index derived from the implicit prices and household characteristics.

The study finds housing demand to be income elastic and price inelastic for the six cities across both the time periods.

Firstly, this study includes housing characteristics such as individual access to drinking water, modern sanitation facility, separate kitchen, condition of the structure, existence of a road with street light and whether the house is in a slum or non-slum area in the hedonic price function. These variables were not used in any of the earlier studies pertaining to India. Secondly, it uses the Box-Cox non-linear form to derive the hedonic price function, a specification not used earlier. Thirdly, this is the first study analysing housing demand across the six largest Indian cities.

The purpose of this paper is to assess nutrients elasticities of calories, proteins, fats, and carbohydrates in Indonesia.

Quadratic Almost Ideal Demand System is used on Indonesian socioeconomic household survey data.

Expenditure elasticities of nutrients in overall model range from 0.707 (for carbohydrates) to 1.085 (for fats), but expenditure elasticities in rural areas are higher than those in urban area. Most of price elasticities of nutrients have very small absolute value (not elastic) and all values are lower than the expenditure elasticities. However, the price of five groups of food commodities, namely, rice, oil and grease, fishes, meat, and other foods give significant influence on nutrients consumption.

This research only includes four micronutrients, namely, calorie, protein, fat, and carbohydrate.

This research is one of very limited literatures about nutrient elasticity of food consumption in Indonesia.

The purpose of this paper is to investigate the determinants of pork consumption in urban western China and the different consumption patterns across income strata with respect to income elasticity and price elasticity of demand.

The double-hurdle model is fit to the household data of Sichuan and Xinjiang provinces which is from the National Bureau of Statistics urban household surveys.

The paper finds that consumers’ purchasing decisions regarding pork are related to both non-economic and economic factors. The results also indicate large differences among the determinants for decision of how much pork to buy across the three income strata. Low-income households have higher income elasticity than middle-income and high-income households. High-income and middle-income households’ level of pork consumption is more sensitive to pork price. High-income households have greater cross-price elasticity.

In the previous studies, the non-economic determinants of pork consumption have not been addressed, and neither does the issue of difference pork purchasing behavior across income strata for urban households in western China. So this study uses the double-hurdle model to investigate the determinants of pork consumption in urban western China.