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Food consumption patterns have changed in many Asian countries over the past two–three decades. It is important to understand the changes in food consumption patterns and its drivers in different country settings as each country has different food cultures, tastes and habits. Thus, the purpose of this paper is to examine the patterns and determinants of food consumption choice and demand in Sri Lanka.

Using Household Income and Expenditure Survey 1990/1991, 2002 and 2012/2013 data, this study explores the relationship between food consumption patterns and the observed changes reported in per capita income, urbanization, structural transformations and demographics. Specifically, present study estimates the probability of consuming main food items such as rice, bread, dhal, vegetables and fish using a multivariate probit model and also estimates income and price elasticities of household major food items by applying Quadratic Almost Ideal Demand System.

This study demonstrates that per capita income, food prices, education level of the household heads, rural–urban affiliation and ethnic background significantly affect the consumption decision of the major food items. Sri Lankan households in general seem to consider that rice and dhal are necessary commodities, whereas bread and fish are luxury commodities.

The lack of panel data and several missing districts in two survey rounds for analysis are limitations of the study.

To the author’s knowledge, this is the first study for Sri Lanka that examines food consumption choice and demand using nationwide data for the last two decades. This study applies novel econometric techniques to account for various issues in data analysis.

Consumption volatility is a key source of economic growth volatility; thus, it is an important factor in designing macroeconomic policy. The purpose of this paper is to investigate the factors that determine household consumption volatility, using urban household survey (UHS) data over the period 2002–2009 in 18 provinces in China.

Both a traditional variance decomposition method and an advanced variance decomposition method are used.

The traditional variance decomposition method suggests that heterogeneity of consumption goods is the key to analyze consumption volatility in China. Consumption of transportation makes the highest aggregate contribution and per-unit volatility in consumption volatility, whereas consumption of food makes the second highest aggregate contribution and the lowest per-unit volatility. Further investigation with the advanced variance decomposition method, which allows the authors to capture intertemporal dynamics and cross-household differences simultaneously, finds that the main factor determining the consumption volatility in China is intertemporal dynamics, rather than cross-household differences.

Future research could fruitfully explore four issues. First, consumption upgrading has increased the volatility of China’s household consumption. How much will this affect economic growth in China under its “new normal” conditions, and how should the Chinese government respond? Second, differences between UHS data and aggregate data in the calculations of consumption risk sharing need to be investigated. Third, it is important to investigate the channels through which the Chinese government can enhance its ability to spread consumption risks and thus reduce consumer consumption volatility. Finally, further study could extend the current 18 provinces to a nation-wide sample and update the data beyond 2009 to estimate the impact of the global financial crisis.

The results suggest that when policy makers design macroeconomic policies to smooth consumption volatility, they should consider heterogeneity in household consumption goods, regional disparity and intertemporal dynamics simultaneously. Well-managed volatility of Chinese household consumption can contribute to a stable economic growth in China and the world.

Well-managed volatility of Chinese household consumption can contribute to a stable economic growth in China and the world.

This paper fills this gap by using China’s UHS data to assess consumption volatility from the perspectives of heterogeneity in household consumption goods, cross-household differences and intertemporal dynamics. We make three contributions to the literature. The first contribution of this paper consists of demonstrating the contributions of heterogeneity in household consumption goods to consumption volatility. The second contribution consists of using the advanced variance decomposition method proposed by Crucini and Telmer (2012). This decomposition methodology allows the authors to examine whether household consumption volatility is due to cross-household differences or intertemporal dynamics. The third contribution is that this paper takes Chinese residents’ consumption fluctuations as the starting point to analyze the impact of consumption fluctuations on the future trend of China’s economy.

This study investigates how income from non-farm activities affects households' consumption in two land holders' groups: households with insecure land holding and households with secure land holding.

Following an instrumental variable approach, this study analyzes data collected on a nationwide sample of 1,800 households in rural Burkina Faso.

For insecure land holders' group, this study finds that income from non-farm activities has a positive effect on household consumption per capita. Moreover, the share of household food consumption is negatively associated with non-farm income in this group. For secure land holders' group, the results show that non-farm income has only a negative effect on the share of their food consumption.

The study highlights the livelihood sustaining role of non-farm activities for rural households. Unlike previous studies, the results show that non-farm income is particularly important for land tenure insecure households facing risk of losing agricultural income.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0423

Using cross-sectional household survey data, this paper aims to determine the impact of food price increases on poverty in Indonesia.

This paper uses the quadratic almost ideal demand system applied to the 2013 Indonesian household survey data. The impact of food price increase on household welfare is calculated using a welfare measure, compensating variation.

Three food groups with the most outstanding price impact on poverty, rice, vegetables and fish, were studied. The 20% increase in the price of each food group causes an increase in the headcount ratio by 1.360 points (rice), 0.737 points (vegetables) and 0.636 points (fish). Maintaining food price stability for these food groups is very important because the more the price increases, the more the impact on poverty. Food price policies in rural areas are also more critical than in urban areas because the impact of food price increases in rural areas is higher.

This paper does not consider the positive impact of rising food prices on food-producing households.

Implementing appropriate poverty alleviation policies through food policies for main food groups and social protection.

Promoting rural development policies and agricultural growth.

This paper contributes to the existing literature by providing empirical results regarding the impact of domestic food prices increase on poverty in Indonesia.

The pleasantness of a food declines with consumption and this phenomenon has been demonstrated reliably in the short‐term. To investigate long‐term effects of repeat consumption on pleasantness, preference and intake, 21 volunteers consumed either a salty snack (french fries) or sweet snack (chocolate) every day for 15 days. Four dependent variables were measured: pleasantness ratings, ranked preference, frequency of consumption and ad libitum intake. Daily pleasantness of taste ratings decreased across the exposure period only for chocolate. Ranked preference for chocolate declined during the sweet snack condition and increased during the salty snack condition. Preference for french fries remained the same during the salty snack condition and increased during the sweet snack condition. Frequency of consuming chocolate outside the laboratory decreased during the sweet snack exposure. No such pattern was found for french fries in either condition. Ad libitum intake in the laboratory remained the same over time for both foods. Short‐term sensory‐specific satiety within the eating episode was consistent over time. Therefore, long‐term monotony effects were found only for pleasantness, preference and frequency of eating chocolate following repeated exposure, but these changes had no impact on ad libitum intake. Systematic, repeat exposure to a single food provides a useful paradigm for investigating the development of monotony.

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.

The purpose of this paper is to measure performance of India in food and nutrition security relative to other Asian countries like Bangladesh, China, Africa and also developed countries from 1991 to 2016.

The study is based on FAO food security indicators under four dimensions, namely, food availability, access, stability and utilization. These indicators are further categorized into determinants and outcome indicators of food security. A comprehensive fifteen indicators are examined in depth.

Food availability in terms of dietary calories and protein per capita was less in India compared to even Africa and Bangladesh. However, food access indicators like road density is better, food prices remain low and stable, which improved food access and stability. However, in utilization indicators, access to water and sanitation remained low, anaemia among pregnant women and undernourishment was relatively higher when even compared to least developed countries like Africa and Bangladesh. Depth of food deficit (an indicator of severity of food deficit) was higher in India except Africa.

Future research should focus on policies for decreasing undernourishment and anaemia and severity in depth of food deficit with focus on India.

The results highlight the severity of food deficit and anaemia among women, undernourishment and provide benchmark to monitor sustainable development goals in zero hunger goal.

This study examined the relative performance of India in various food and nutrition security indicators in comparison to other countries.

The paper aims to examine changes in household consumption behaviour through an empirical investigation of the decision to consume meat, to not consume meat or to consume only small amounts of meat. The goal is to find out if the decision not to consume meat is becoming more prevalent, and to understand in what social categories this is happening, if any. A further aim is to investigate whether meat consumption is strongly associated with gender on the household level.

Expenditure survey data gathered from Finland during the last 40 years was used to identify what kinds of changes were taking place in the consumption of meat and meat products. The independent measures include six variables: the gender of the highest earner in the household (HEH), the type of household, the type of municipality and the income quintile, educational level and age of the HEH. The size of the samples varied between 2,986 and 8,258 households.

The analysis revealed that the decision not to consume meat became prevalent in Finland at the end of the 1970s but the growth rate has somewhat stabilised during recent decades. The gender of the HEH affects the family meat consumption. As non‐meat consumption has become more widespread it has also more clearly become a middle‐class phenomenon.

There are no previous studies available on the development of non‐meat consumption from this long‐term perspective.

The study aims to examine the role of consumer psychological attitude, subjective norm, perceived behavior control and pro-environmental self-identity on green food purchase intention. Also, it examines the effect of ecological conscious consumers' behavior (ECCB) on green intention and behavior.

The study has focused on the upper-middle-class segment of Karachi. The authors have used area sampling for collecting the data. Six recruited enumerators distributed 450 questionnaires in five areas of Karachi and received 423 filled-in questionnaires. The study has used the Smart PLS version for data analysis.

The study found that biospheric egoistic and hedonic values affect attitudes toward green products, and altruistic values have no effect on attitude. Also, the authors did not find any association between attitude and green purchase intention, but found that attitude stimulates ECCB. Subjective norms and perceived behavior control strongly affect green purchase intention and ECCB. The results also suggest that pro-environment self-identity and ECCB are significant predictors of green purchase intention. The authors also found that green purchase intention stimulates green food behavior.

The authors have taken a holistic approach by investigating 13relationships. The authors also examined the association between hedonic values and green purchase intentions, which in the past studies have contradictory results.

There is a paradox in the normative foundations for chronic and intertemporal poverty measurement. Measures that reflect particular aversion to chronicity of poverty cannot also reflect particular aversion to fluctuations in the level of poverty when poverty is intense, yet good arguments are made in favour of each of these properties. I argue that the paradox may be explained if the poverty analyst implicitly predicts that an individual observed to experience persistent poverty will continue to experience poverty when unobserved. The paradox may then be resolved by separating the normative exercise of evaluation, applying a measure that reflects particular aversion to fluctuations, from a positive exercise of modelling and prediction. This proposal is illustrated by application to panel data from rural Ethiopia, covering the period 1994–2004. Several dynamic models are estimated, and a simple model with household-specific trends is found to give the best predictions of future wellbeing levels. Appropriately normalised measures of intertemporal poverty are applied to the predicted and observed trajectories of wellbeing, and results are found to differ substantially from naïve application of the measures to observed periods only. While similar results are obtained by naïve application of the measures that embody particular aversion to chronicity, separation of the normative and positive exercises maintains conceptual clarity.