Impact of Population Age Structure on Food Consumption Structure of Residents in Beijing

Based on the Beijing panel data from 1990 to 2019, this paper expands the traditional Almost Ideal Demand System (AIDS) model by introducing the nutritional needs indicators by age structure and quantitatively analyzes the structure and characteristics of household food consumption in Beijing. The study estimates and compares the income elasticity, price elasticity, nutritional demand elasticity of food consumption structure, and the per capita food consumption in Beijing is predicted. The results show that commodity prices and income are still the key factors affecting consumer demand. The change in the population's age structure also has a corresponding impact on the consumption structure. The consumption structure of Beijing is in the stage of optimization, and relevant departments should formulate relevant policies to increase farmers' income and stabilize prices.

The pattern of poor household food consumption: The case of West Java Province

The result of a LA-AIDS showed that the food consumption of poor households in West Java is influenced by its own-price, the price of other commodities, income, number of household members, household location, education of the head of household, and work type of the head of the household. The own-price elasticity identified that the price increase in each commodity group does not affect the consumption of the general food group. The cross-price elasticity of food groups showed more complementary.

Perceptive Factors That Affect Household Food Consumption Among Different Grassland Areas: A Case Study Based on Fuzzy Cognitive Map

Food consumption acts as an intermediary between ecosystems and human systems in grassland areas. In this study, we generated a fuzzy cognitive map (FCM) to obtain a semi-quantitative assessment of impact factors on food consumption in the Xilin Gol Grassland, China, from the perception of local rural households. Based on it, the food consumption impact factors networks of households in Xilin Gol Grassland were created. Results showed that household recognition of food consumption impact factors differed among grassland transects in both amount and category, and the results of principal component analysis (PCA) ascertain such differences and transitions. Livestock breeding, income, local economic development, consumption habit, age, food price, and cost were the most important impact factors mentioned by both farmers and herdsmen. From south to north in the grassland transects, households' cognition of ecological and economic factors increased, and the cognition of personal and social factors decreased. Differences in supply, culture, customs, and socioeconomic characteristics affected the cognition of households and their livelihoods, which influenced impact factors as well as associated connections. The role of livestock breeding also validated the connection between human actives and the grassland ecosystem. Results from this study can be used as a reference for policymakers during decision-making processes respective of regional sustainable development.

Environmentally friendly household food consumption behavior

Natural resources, namely land and water, as the main input factors for food production have undergone degradation in quantity and quality. On the other hand, demand for food has been growing due to population increase, which requires to intensify the use of natural resources that may harm environment. One of the solutions to this problem is by managing household food consumption pattern. This study aimed to analyze current and eco-friendly household consumption behavior in Indonesia to overcome the above problem. A technical review was conducted to various nationally representative publications, mainly from Statistics Indonesia, Indonesian Ministry of Health and Ministry of Agriculture. Results of this study indicated that in 2020 the Indonesian average daily energy and protein intake has met the recommendation. However, based on Desirable Dietary Pattern score, food consumption pattern was not balanced, dominated by cereals as carbohydrate food sources, while consumption of tubers, legumes, animal protein sources, vegetables, and fruits were still inadequate. Among high income households, consumption of animal products exceeded the recommendation whereas production of this food requires the highest environmental resources. Meanwhile, a large proportion of food waste are produced by household, mostly in the form of vegetables and fruits. Driving factors of household food selection were mainly based on social, economic, and cultural aspects rather than environmental consideration. Therefore, to reduce environmental damage, environmentally friendly food consumption behavior should be promoted. Government together with nutritionist and agronomists should create a grand design of food system which balances productivity, sustainability, and community nutrition fulfillment.

The dynamics of household food consumption patterns in various agroecosystems in Indonesia

Household food consumption patterns are influenced by income, price, individual tastes and beliefs, and socioeconomic aspects. Agricultural development has an impact on changing consumption patterns. The changes vary according to different ecosystems. The purpose of this study is to analyze the dynamics of household consumption patterns in various ecosystems and their implications for agricultural policies. This study used panel data from the National Farmers Panel period of 2007/2009-2016/2018 from the Indonesian Center for Agro Socio Economic and Policy Studies in four ecosystems, namely rice paddy fields, dry-land secondary crops, dry-land vegetable crops, and dry-land plantation crops. The discussion of consumption patterns is focused on energy and protein consumption, PPH score, and consumer participation rate. The results showed that during 2010-2018, energy and protein consumption increased, however, the pattern of change varies among households. The energy and protein consumption level are only about 77-86% from the level of recommendation ≥90%. Households’ consumption of protein in plantation ecosystem is lowest compared to other ecosystem. The level of household rice consumption was the highest, compared to other carbohydrate sources. PPH of agricultural households was lower than the national in the four agroecosystems. To increase the consumption of energy, protein and PPH scores of agricultural households in various agroecosystems in Indonesia, it is necessary to increase the availability and access of agricultural households to non-rice carbohydrate sources and protein source foods by optimizing the potential of local resources. Coordination and synchronization of food security improvement programs between central and local governments is important.

The Effect of Productive Safety Net Programme on Household Food Consumption and Dietary Diversity in Ethiopia

This study empirically investigates the effect of productive safety net programme (PSNP) on household food consumption and dietary diversity in Ethiopia. The study applied random effects with instrumental variable to estimate the effect of PSNP membership. The result of the study indicates that though PSNP membership improves household food consumption, it reduces household dietary diversity score. Household food consumption and dietary diversity are also significantly influenced by sex, age, education status of household head, household size, livestock ownership, distance to the nearest market and participation in non-farm activities. The findings of this study suggest that PSNP membership should be reinforced by building household awareness of the benefits of consuming a variety of foods. In addition, PSNP membership should be designed to endow the households to accumulate essential assets, especially livestock.

Consumption pattern and hope food pattern in Salahutu District, Maluku Tengah Regency

This study aims to analyze food consumption patterns, the hope food patterns, and the factors that influence household food consumption patterns. The research was located in Suli and Liang Villages, Central Maluku Regency. The location was determined purposively based on the 2017 Central Maluku Regency Food Security and Vulnerability Atlas (FSVA) results included in Priority 1 and 2 as Food Vulnerable Areas. The research sample was determined by simple random sampling using the Slovin formula with a total sample size of 87 households, 44 (Suli Village) and 43 (Liang Village). The research data were analyzed qualitatively and quantitatively. The results showed that the pattern of household food consumption in the two villages was lower than the ideal weight of food consumption, namely 870 g/capita/day, respectively 783.83 (Liang Village) and 709.81 (Suli Village). The score of the hope food pattern in Liang Village is 75, and Suli Village is 76.9. Analysis of the factors that influence household food consumption patterns in the two villages with a coefficient of determination of 51.56 (Liang Village) and 59.19 (Suli Village). The results of the t-test show that the factors that influence the pattern of household food consumption in Liang Village include income (X 1), the number of family members (X 2), and the education of housewife (X 4), while the factors that influence food consumption patterns Households in Suli Village include income (X 1), age of the housewife (X 3) and education of housewife (X 4).

Spatial-Temporal Footprints Assessment and Driving Mechanism of China Household Diet Based on CHNS

Food consumption is closely associated with resource consumption and environmental sustainability. An unreasonable dietary pattern would cause great pressure or damage to resources and the environment. It is particularly important to reduce the negative impact of household food consumption on resources and the environment while simultaneously ensuring people’s nutrient intake and health. This study applied the China Health and Nutrition Survey (CHNS) database to quantitatively study the spatial-temporal analysis of multiple footprints of household food consumption at multiple scales and explored the driving mechanism of the multiple footprints. The results showed that, except land footprint (LF), the other four types of footprints all decreased at varying degrees; the water footprint (WF), carbon footprint (CF), nitrogen footprint (NF) and energy footprint (EF) decreased by 18.24%, 17.82%, 12.03% and 20.36%, respectively, from 2000 to 2011; multiple footprints of food consumption of household in Guizhou was the highest among the 12 provinces involved in the study; this shows that resource consumption (water, energy and land resource) and environmental influences (CO2 emissions and nitrogen emissions) brought by food consumption of per household in Guizhou are much greater than in other provinces, which has a negative influence on sustainable development; by analyzing the driving factors of multiple footprints, it is shown that nutrient intake, household attributes, educational level and health conditions were significantly correlated to multiple footprints. Among them, nutrient intake has greater impact on the multiple footprints of Chinese household food consumption. By comparing multiple footprints of different dietary patterns, it was found that the current Chinese dietary pattern would cause excessive resource consumption, which would bring more pressure on resources and the environment. Adjusting household living habits would possibly reverse the unsustainable situation, such as reducing the consumption of animal-derived foods and adjusting the dietary pattern of households with a higher educational level and income status. Chinese Dietary Guidelines 2016 has better sustainability; the promotion of this dietary pattern across the country would help China to relieve the pressure on resources and environment from the consumer side, promoting the realization of sustainable development.

An Analysis of the Determinants of Household Expenditures in Rwanda

Economists use two different approaches, unitary and collective, to analyze household decisions. The unitary approach ignores the differences between single-person and multi-person households, whereas the collective approach states that each person in the household must be characterized by specific preferences. The household’s decisions concern mainly the allocation of their income to current consumption or for savings and future consumer expenditures. This study uses the Comprehensive Food Security and Vulnerability Analysis (CFSVA) data collected from a random sample in 2015 in Rwanda. The ordinary least squares (OLS) method was applied to a linear regression model to estimate the household demand functions (total household consumption expenditures, household food consumption expenditures and household nonfood consumption expenditures). The results show that the socioeconomic characteristics of the household, the possession of productive assets and wealth conditions as well as the household locational controls are among the primary drivers of its consumption expenditures. The findings highlight the policy efforts that improve household human capital (education, health), access to and capitalization of productive assets and financial capital, continuous urbanization of rural areas, and sustained provision of quality infrastructure, to achieve high standards of household welfare.