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This study estimates the income elasticities of calorie, macronutrients (carbohydrate, protein and fat) and key micronutrients including cholesterol, vitamin A, vitamin C, sodium, potassium, calcium, iron, zinc and insoluble fiber separately for urban and rural adults aged 18–60, using China Health and Nutrition Survey data set from 2004 to 2011.

A semiparametric model, a two-way fixed-effects model and a quantile regression approach are employed to estimate nutrient–income elasticities.

The income elasticities of calorie, protein, fat, cholesterol and calcium are in the range of 0.059–0.076, 0.059–0.076, 0.090–0.112, 0.134–0.230, 0.183–0.344 and 0.058–0.105, respectively. The income elasticity of each of the other nutrients is less than 0.1. The income elasticities of calorie and the majority of nutrients included are larger for rural residents than for urban residents and for low-income groups than for medium- and high-income groups. Overall, in spite of having a relatively small impact, income growth is shown to still have an impact on improving the nutritional status of Chinese adults.

This study estimates nutrient–income elasticities separately for urban and rural adults, expanding the scope of the study regarding the impact of income on the nutritional status in China. Moreover, this study uses a pooled sample generated from the personal food consumption records covering foods consumed at home and away from home during 2004–2011, which is thus likely to more comprehensively reveal the causal relationship between income growth and changes in the nutritional status in China.

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.

China's remarkable income growth has changed the food landscape in recent years. Chinese consumers are demanding greater food quantity and quality and changing the nutrient content of their diets. Most food demand studies are based on data from earlier time periods before these structural changes had taken hold. The purpose of this paper is to show how the rapid change in food markets and surprisingly slow growth of food imports warrants a new assessment of food demand in China.

Engel equations measuring elasticities of food quantity and quality purchases with respect to household income are estimated. These estimates are then converted to nutrient elasticities to show how the availability of nutrients varies with income based on the Engel demand relationship.

The income elasticities diminish as income rises. Households in the top tier of the income distribution appear to have reached a saturation point in the consumption of most food items. As income rises, most additional spending is on foods with higher unit values that may reflect better cuts of meat or branded items. The pattern of food purchases for households at different income levels suggests that protein, saturated fat, and cholesterol intake rises with increased income. The change in diets prompted by rising income is most pronounced for low‐income households.

This paper applies a unique approach to measure income, quality, and nutrient elasticities within the same framework of Engel relationship. The finding has important implications for opening new market opportunities of imported foods and understanding dietary change in China.

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 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 linkages between climate change, income dynamics and nutrition intake in rural China.

Using a system of simultaneous equations in a three-stage least squares model instrumented with carbohydrates, fats, proteins and farm income the authors found generally that the greatest impact on nutrition would be from changes in temperature.

The authors do not find that modest changes in precipitation affect nutrient intake, but extreme events such as drought do. Furthermore, the authors found a strong income effect and this income effect is opposite the heating effect. This may suggest that large swings in nutrient intake brought about by climate change may be countermanded by equivalent increases in income. The authors also found that in terms of general measures of elasticity that market effects, especially in the price of meats, can impact carbohydrate, fat and protein intake as much as global warming.

The authors believe that three aspects of this manuscript will make it interesting. First, in the short term, poorer households would be the most vulnerable and sensitive to climate change. However, in the long term, all households in rural China appear able to deal with changing climatic conditions through adaptation. Second, the authors do not find evidences to prove the existence of a poverty nutrition trap in rural China. Third, the results also indicate that, the nutrition intake of households in rural China is more prone to gradual changes, rather than extreme events.

The purpose of this paper is to use data from the 1991 to 2009 China Health and Nutrition Survey (CHNS) to analyze how income in China is related to calorie intake.

The paper employs a variety of parametric, nonparametric, and semiparametric methods for cross-sectional and panel data, and estimates calorie-income elasticities for adults aged 18-60.

The calorie-income elasticities are generally small, ranging from −0.031 to 0.022. In addition, the results show no clear nonlinearity, regardless of whether parametric, nonparametric, or semiparametric approaches are used.

Using a wealth of estimation techniques, including parametric, nonparametric, and semiparametric approaches, this paper addresses some of the main methodological challenges encountered in estimating calorie-income elasticities. The magnitudes of calorie-income elasticities have policy implications especially with regards to the effectiveness of income-mediated policies aimed at combating food insecurity in China.

The purpose of this paper is to examine how the intakes of calories, proteins, and fats vary with income in sub-Saharan Africa (SSA).

Annual time series data for 43 countries covering 1975-2009 that yields a balanced panel was employed for analysis. Nutrient-income elasticities are estimated based on the aggregate Engel Curve framework, using a feasible generalized least squares (FGLS) technique that is robust to autocorrelation.

The estimated nutrient-income elasticities are small: a 10 percent increase in income will lead, respectively, to rises of about 0.73, 0.87, and 0.90 percent in calories, proteins, and fats intake; showing that policies that are aimed at eliminating malnutrition through only the growth of per capita income will have positive but limited impacts. The estimated aggregate Engel Curve and the non-parametric plots show that at higher income levels the relationship between income and nutrient intake is non-linear and diminished, suggesting a low likelihood for the manifestation of an obesity epidemic in SSA.

This is the very study that attempts to look at the nutrition-income elasticities at cross-country level in SSA.

The aim of this study is in twofolds. First, to take a critical look at nutrient consumed and its trends and second, to examine the relationship between share of nutrient consumed across selected food groups and per capita income in Nigeria.

The author uses seemingly unrelated regressions.

The result of the first objective reveals that the average calorie, protein and fat intakes were still below the recommended daily allowance since the 1960s as diets in Nigeria remained very much cereal-based over the years. Also, the results of objective two show that calorie, protein, and fat share of animal products respond positively but inelastic to the per capita income growth in Nigeria over the years.

Contrary to previous studies, the present study is designed not to fit aggregated nutrient demand from various food items as a function of income, but to relate the nutrient share of each homogenous and heterogeneous food product categories to the aggregated nutrient intake from these food groups and per capita income in Nigeria.

This paper examines the prices of fishery products (an important source of protein for the poor) and drivers of their inter-regional variations in India, where fishery is a critical sector. By explaining regional price differences, we make an attempt to derive policy implications as to how fish price inflation can be controlled.

The paper is primarily based on secondary data provided by the Ministry of Agriculture, Government of India. In the absence of data on inter-regional trade, appropriate indicators are constructed using the gravity model to capture supply side factors that may influence regional price differences. Pooled regressions are carried out for a representative marine and an aquaculture fish variety separately for the period 2011 to 2017.

After controlling for income levels, it is found that marine fish prices can be reduced by improving intra-state transport infrastructure. For reducing the price of aquacultures, it is shown that it is imperative to reduce the distance between producers and consumers.

The study is limited by the availability of data on interstate trade and consumption of fish and has only used prices of representative fish varieties instead of average marine and aquaculture fish prices.

This paper considers trade and value chain based business theories to explain regional price differences. It analyzes the drivers of relative price differences and suggests measures to control them using a gravity model of trade.