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Previous research has rarely considered purchase acceleration as a measure of consumer deal‐proneness. Also recent studies have found that the effect of demographics either on brand choice or purchase timing is marginal. Examines the effects of demographics on household propensity to accelerate. Selects demographic variables are selected based on theoretical arguments and the results show that their effect is significant. The study found the effects of female head employment status to be the most persistent, followed by income and household size effects. Also found demographics were also found to discriminate between deal‐only and price sensitive households, a difference observed in previous studies.

Single males and females are an under-studied segment of grocery shoppers. This study aims to compare the shopping habits of single males with single females and couples.

Structural equation modeling is used to analyze purchase history data for testing the effect of household type on shopping trip metrics and budget allocation to product categories.

Although single male shoppers differ on some trip metrics from females, differences are more pronounced between single shoppers, male or female, and couples. The study also confirms the mediating effect of trip metrics on the relationship between demographics and allocation of budget to grocery product categories.

The study contributes to the literature by identifying the differences and similarities between shopping behaviors of single males, single females and couples, developing an understanding of their budget allocation decisions to different product categories and testing and confirming that trip characteristics mediate the relationship between demographics and budget allocated to grocery products.

The purpose of this paper is to develop a model to examine how different technological and cognitive cues related to mobile food ordering applications (MFOAs) impact diners' intentions to use MFOAs continuously. The moderating role of national household demographics was also assessed in the online-to-offline (O2O) food delivery services (FDS) context.

Drawing insights from the uses and gratification (U&G) theory, an online sample survey of 968 valid respondents who had ordered or purchased food through delivery apps during the COVID-19 outbreak in China was used for the analysis. The proposed model was empirically tested using structural equation modeling.

The results revealed that cues in MFOAs (i.e. ease of use, convenience, price saving orientation, the listing of various food choices, exploring restaurant patterns, and compatibility) directly influenced diners' e-satisfaction and that intention to use continuously is triggered by e-satisfaction during the COVID-19 crisis. Moreover, this study found that collectivist household diners emphasized ease of use, convenience, and compatibility. Comparatively, individualistic household diners placed more importance upon price saving orientation and listing of various food choices during the pandemic.

The authors offer a new insight into customers' dining choices by extending the scope of O2O services in the food industry. The findings contribute to understanding diners' purchase decision-making processes regarding MFOAs' O2O-FDS during the COVID-19 crisis. The multi-group comparison via national household demographics also provides a new perspective regarding different dining preferences toward O2O-FDS.

Although preference for sons has been documented among parents in developing countries, it is an open question whether and to what extent intra-household resource allocation is influenced by family sex composition. This study investigates the effects of sex composition on intra-household resource allocation based on the collective household model of Dunbar, Lewbel, and Pendakur (2013). I extend their model to estimate the influences on a household member’s resource share by observing how budget shares of a private assignable good vary not only with total expenditure and family size, but also with family sex composition. Using data from the 2005 Iranian Household Income and Expenditure Survey, I find that family composition significantly affects intra-household resource allocation in Iranian rural areas. Specifically, rural parents assign 1.6–1.9 percentage points more resources toward their sons. These resources are essentially coming at the expense of mothers. In all-boy families, mothers get 2.8–3.6 percentage points fewer resources than they do in all-girl families. These effects are more pronounced among farmer families than nonfarmer families. However, I find no significant role for gender composition in intra-household resource allocation in urban areas.

The purpose of this paper is to investigate factors influencing household food consumption away from home in Beijing by type of food facility and type of meal.

Derived from the Becker's household production and consumption theory, the authors econometrically specified household expenditure function on food away from home. Box‐Cox transformed double‐hurdle models were estimated. The data were collected in 2007 in Beijing China by the authors, using a diary‐based method designed specifically for this study.

Household income, time opportunity cost and other socio‐demographic and economic factors were found to be important determinants of household participation and expenditure decisions for dining out. However, the importance of these factors varied by type of food facility and type of meal. Meanwhile, the estimated elasticities with respect to income were correspondingly higher than those for developed countries, suggesting that the demand for food away from home by Chinese households is still in an upward trend.

To the best of the authors' knowledge, this study is the first to analyze Chinese household food consumption away from home by type of food facility and type of meal. Besides, this study uses an exclusive dataset collected from a seven‐day diary‐based survey. The data include more specific information on food away from home than the Urban Household Income and Expenditure (UHIE) survey data conducted by National Bureau of Statistics of China. The UHIE data were extensively used in previous studies on food consumption in China, but are believed to significantly underestimate food away from home consumption.

Food security was investigated in three villages in rural Ethiopia for smallholder farmers growing staple crops and coffee. Field surveys were conducted through extensive interviews of head of households in three villages in the coffee-growing region of Oromia. We computed basic descriptive statistics and estimated a discrete variable model of the food security status of households and its socioeconomic determinants. We found that commercial input used among smallholders remains sporadic and pricey. Most households produce coffee as a key source of cash income, and rely on a major coffee cooperative to market their coffee. The coffee cooperative helps with transportation costs, eases market participation decisions, and provides better and stable prices. Many farmers rely on credit and banking services offered by the cooperative. These services contribute to food security. Most food-insecure households tend to be headed by females and have severe land constraints. These households also tend to work outside of their own farm more often at lower-return activities than do food-secure households. Despite the fast growing economy of Ethiopia, smallholder households face considerable impediments to improve their economic livelihoods and market participation due to limited land and poor transportation and telecommunications infrastructures. Policies lowering the unit cost and increasing the local availability of commercial inputs for agriculture would be useful to boost staple food production and income generation of smallholders systematically. Better infrastructures and easier access to land would help mitigate food insecurity.

Malnutrition remains a big public health issue especially in developing countries. The purpose of this paper is to analyze factors that influence consumption of nutrient-rich foods among children aged 6–59 months and women of reproductive age (15–49 years) in the urban informal settlements of Nairobi, Kenya, and Kampala, Uganda. This study uses multicomposite soft porridge as an example of a nutritious product.

A cross-sectional survey was conducted with 574 households from urban informal settlements in Kampala and Nairobi. A systematic random sampling approach was used to select respondents, and interviews were conducted on their sociodemographics, porridge consumption and purchase behavior. Probit regression models were used for the analysis.

Results indicate that households with access to nutrition information are more likely to consume porridge with diversified ingredients, compared to households without nutrition information. Additionally, consumption of fortified porridge flour has a lower probability of consuming porridge flour with diversified ingredients.

The evidence echoes the need for increased dissemination of nutrition information, which will trigger willingness to pay and consumption of nutritious foods. Further, it underpins the need for processor-level interventions to avail these foods at affordable prices for the benefit of low-income consumers.

This is among the first papers assessing factors that influence consumption of nutritious and diversified soft porridge by children aged 6–59 months and women aged 15–49 in the informal settlements of East Africa.

The purpose of this paper is to contribute to the occupational status and entrepreneurship research in developing countries by proposing that there are implications for household consumption depending on the occupational status proportion of households. When the occupational proportion of the household changes, household consumption is affected. This effect also changes depending on what quantile level the household is in terms of household consumption.

The paper makes use of OLS and quantile regressions to examine 6,919 households comprising 40,294 individuals from the 2009 Nigerian Living standards measurement survey.

The paper finds that there are implications for household consumption based on the proportion of individuals in each occupational category. The contributions of each employment proportion changes at different quantiles with self-employed individuals increasing household consumption at the lower quantiles but reducing household consumption at the upper quantiles. Crucially, having a higher proportion of unemployed individuals in the household is oftentimes better than having a higher proportion of own account self-employed individuals.

This paper offers new insights into how occupation proportion influences household consumption in developing countries. As a result, the household could seek to organise its members in such a way as to maximise combined household consumption, as diverse occupational statuses contribute differently to the household consumption at different quantile levels. The nature of the data used in this study however does not allow for causality tests.

The proportion of employment statuses in the household has implications for household consumption and so the mix of employment in the household is important. The self-employed could also be involved in activities to enhance household consumption that are not captured by labour income. However, self-employment does not seem to always have a positive effect on household consumption and sometimes unemployment might be better.

The paper provides a new way to view the household as an organising entity in terms of how it can allocate employment proportions to maximise household consumption.

Forests support human livelihoods and mitigate against climate change, yet they are at a risk of irreversible loss due to high degradation rates. The success of forest conservation mechanisms depends on involvement and support by forest dependent communities. In this paper, the authors assess forest dependent household's willingness to pay (WTP) labour or cash for a conservation programme seeking to restore degraded forestland in Mount Elgon Forest, Kenya.

Data were collected from 919 households in Mt Elgon forest reserve, Kenya. A double bounded contingent valuation approach was used to examine households' WTP and an ordered probit model to estimate the determinants of WTP.

The findings of the study show a higher WTP for conservation through labour days (12 days/month, equivalent to 1800 KES/month) compared to cash (KES 450/month). Forest dependence has a significant influence on households' willingness to support conservation activities. A higher WTP was observed amongst households with higher vulnerability (high shocks value, low asset value and those in the poorest wealth categories) implying that they are more willing to contribute for forest conservation.

While emerging literature on WTP for forest conservation is growing, few studies have paid attention on the influence of forest dependence on WTP for forest conservation. There are limited studies on use of in-kind contribution as a payment vehicle for WTP. The study's findings show a high WTP in form of labour suggesting the importance of embracing in-kind contribution as a mechanism of supporting forest conservation in contexts of developing countries.