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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 the impact of urbanicity on rural–urban migrants' dietary diversity and nutrition intake and whether its effect differs across various urban environments of migrants.

Using the individual- and time-invariant fixed effects (two-way FE) model and five-year panel data from the China Health and Nutrition Survey (CHNS), this paper estimates a linear and nonlinear relationship between urbanicity and nutrition. The paper also explores the spatial heterogeneity between rural–urban migrants and rural–suburban migrants. Dietary diversity, total energy intake and the shares of energy obtained from protein and fat, respectively, are used to measure rural–urban migrants' nutrition on both quality and quantity aspects.

The study shows that rural–urban migrants have experienced access to more diverse, convenient and prepared foods, and the food variety consumed is positively associated with community urbanicity. Energy intake is positively and significantly affected by community urbanicity, and it also varies with per capita household income. The obvious inverse U-shaped relationship reveals that improving community urbanicity promotes an increase in the shares of energy obtained from protein and fat at a decreasing rate, until reaching the urbanicity index threshold of 66.69 and 54.26, respectively.

This paper focuses on the nutritional status of rural–urban migrants, an important pillar for China's development, which is often neglected in the research. It examines the urbanicity and the nutrition of migrants in China, which provides a new perspective to understand the dietary and nutritional intake among migrants in the economic and social development. Moreover, the urbanicity index performs better at measuring urban feathers rather than the traditional rural/urban dichotomous classification.

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.

This study aims to investigate the causal relationship between nutrition and economic growth in sub-Saharan Africa.

A dynamic panel causality test based on the Blundell-Bond’s system generalized methods-of-moment was used. To make efficient inference for the estimates, the authors check for the panel unit root and co-integration relationship amongst the variables.

The variables were found to be non-stationary at level, stationary after first difference and co-integrated. The results of the causality tests reveal evidence of long and short-run bidirectional causality between nutrition and economic growth, which implies that nutritional improvement is a cause and consequence of economic growth and vice versa.

This is the first study to consider causality between nutrition and economic growth in the region.

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 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 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.

The study aimed to investigate the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake.

Multi-stage random sampling approach was used to select 321 household members drawn from a total of 80 households. A combination of descriptive and inferential statistics was applied in analysing the data.

The study revealed that household income, dependency ratio, education and gender of household head, among others, are factors that would significantly influence per capita daily calorie and protein intake of households. Protein-energy malnutrition is more of inadequate calorie than protein intake. There was confirmatory evidence of inadequate consumption of calorie among pre-school and school age children, while adult male members seemed to consume the above requirements with the possibility of being at the risk of obesity. Though children were undernourished, they are unlikely to be marasmic.

The study examined the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake. Socio-economic factors influencing per capita calorie and protein intakes as well as the possible risks of protein-energy malnutrition among household members were also examined. The patterns of intake of calorie and protein consumption among household members indicated the possibility of over-nutrition and under-nutrition coexisting among members of the households with over-nutrition and potential risks of obesity in adult males and under-nutrition among pre-school and school age children.

The purpose of this paper is to examine asymmetric co-integration effects between nutrition and economic growth for annual South African data from the period 1961-2013.

The authors deviate from the conventional assumption of linear co-integration and pragmatically incorporate asymmetric effects in the framework through a fusion of the momentum threshold autoregressive and threshold error correction (MTAR-TEC) model approaches, which essentially combines the adjustment asymmetry model of Enders and Silkos (2001); with causality analysis as introduced by Granger (1969); all encompassed by/within the threshold autoregressive (TAR) framework, a la Hansen (2000).

The findings obtained from the study uncover a number of interesting phenomena for the South Africa economy. First, in coherence with previous studies conducted for developing economies, the authors establish a positive relationship between nutrition and economic growth with an estimated income elasticity of nutritional intake of 0.15. Second, the authors find bi-direction causality between nutrition and economic growth with a stronger causal effect running from nutrition to economic growth. Lastly, the authors find that in the face of equilibrium shocks to the variables, policymakers are slow to responding to deviations of the variables from their co-integrated long run steady state equilibrium.

In the study, the authors make a novel contribution to the literature by exploring asymmetric modelling in the correlation between nutrition intake and economic growth for the exclusive case of South Africa.

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.