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The purpose of this paper is to examine how consumers’ concern for food safety and income levels influence vegetable consumption patterns and expenditure in Tamale, Ghana.

Using data from a survey of 300 urban consumers, quantile regression analyses are used to examine how food safety consciousness, income and other factors influence vegetable expenditure across different quantiles.

Whereas protein-rich foods take smaller proportion, vegetables and cereals take more than half of the household food budget. Poor households spend greater proportion of income on food relative to wealthier households, although absolute amounts spent on food takes the opposite direction. Engel’s law applies to composite food expenditure and individual food classes. Bennett’s law applies to various food groups, with high-income households showing high dietary diversity than middle- and low-income households. Food safety consciousness and income groupings significantly influence vegetable expenditure at various quantiles. Expenditure of food safety conscious and high-income consumers are positioned on higher quantiles.

The findings suggest a potential for agribusiness investors to develop safer vegetable niche markets in the study area.

The study is the first to analyze vegetable consumption in Ghana with a focus on food safety consciousness, income levels and consumers’ location.

The purpose of this paper is to examine the expenditure patterns of grey or older consumers with comparisons among different demographic groups to establish important factors in terms of consumption behaviour. The findings are of relevance in the context of marketing to older consumers.

Based on non‐probability quota sampling, 1,500 older people from three ethnic groups in eight geographical regions in Peninsular Malaysia participated in the survey.

Research results show that these consumers spent most on food, followed by rent, fuel and power in that order. These categories of items accounted for 67 per cent of their monthly expenditure, leaving relatively little disposable or discretionary income for other potential purchase decisions. With an exception of items such as healthcare expenses, and food and beverage away from home, there were hardly any significant differences in terms of monthly expenditure patterns among the grey market in Malaysia.

Limited to research in one developing country, i.e. Malaysia, whose population is showing aging patterns in the demographic mix, similar to those in advanced industrial/post industrial economies. The findings, and indeed the research approach, can be compared cross culturally.

Illustrates the value and significance of demographic variables in analysing a complex societal phenomenon. Also indicates the need for marketing strategies targetted toward this growing sector of the Malaysian economy.

The first paper to consider the marketing implications in research and practical terms to address issues of aging in developing economy. Research concerning older consumers (i.e. the grey cosumer market) is growing in academic and managerial importance.

Responses to minimum income and minimum spending questions are used to produce economic well-being thresholds. Thresholds are estimated using a regression framework. Regression coefficients are based on U.S. Survey of Income and Program Participation (SIPP) data and then applied to U.S. Consumer Expenditure Survey (CE) data. Three different resource measures are compared to the estimated thresholds. The first resource measure is total before-tax money income, and the other two are expenditure based. The first of these two refers to expenditure outlays and the second to outlays adjusted for the value of the service flow of owner-occupied housing (rental equivalence). The income comparison is based on SIPP data while the outlays comparisons are based on CE data. Results using official poverty thresholds are shown for comparison. This is among the earliest work in the U.S. in which expenditure outlays have been used for economic well-being determinations in combination with personal assessments, and the first time rental equivalence has been used in such an exercise. Comparisons of expenditures for various bundles of commodities are compared to the CE derived thresholds to provide insight concerning what might be considered minimum or basic.

Results reveal that CE and SIPP MIQ thresholds are higher than MSQ thresholds, and resulting poverty rates are also higher with the MIQ. CE-based MSQ thresholds are not statistically different from average expenditure outlays for food, apparel, and shelter and utilities for primary residences. When reported rental equivalences for primary residences that are owner occupied are substituted for out-of-pocket shelter expenditures, single elderly are less likely to be as badly off as they would be with a strict outlays approach in defining resources.

To analyze the role of price fairness perceptions as a construct underlying individuals' transactions.

The paper formulates and empirically tests the hypothesis that price fairness perceptions endogenously determine consumers' expenditures decisions. Economic transactions are viewed as an allocation choice problem with fairness perceptions being an endogenous variable determining problem outcome. A treatment effects model is utilized, allowing for the analysis of the effects that price fairness perceptions exercise upon both the consumers' decision to realize a transaction as well as upon their consequent level of spending.

Consumers do patronize stores and one important variable determining their level of spending is their perceptions of fairness underlying the transaction with a specific provider.

The small usable questionnaire sample may be considered as a limitation. However, the very satisfactory fit of the estimated model allows for the results to be a comparison basis with future findings.

Analysis of price fairness perceptions provides new insights regarding consumer behavior, enhancing the analytical validity of typical household demand models.

Analysis allows for price fairness perceptions to enter a consumer's expenditures equation usually expressed in terms of socio‐economic indicators.

This research's main objective is to investigate the relationship between consumption expenditure and consumer confidence in the USA and to study their effects on US economic revivalism during and after the coronavirus disease 2019 (COVID-19) shock.

The authors use Michigan's monthly Consumer Sentiment Index and its five components from January 1978 to April 2020. The study is unique in quantifying the potential variations in US consumer confidence due to COVID-19 under different scenarios, by providing a projection until December 2021. It also estimates the time needed for recovery and offers guidance to policymakers on ways to contain the negative impacts of COVID-19 on the economy by restoring consumer confidence.

All scenarios show a gradual recovery of consumer confidence and consumption expenditure. This study recommends expansionary policies to encourage consumption expenditure to generate additional demand and boost economic growth and job creation.

Though this study is limited to the US consumer confidence index, it offers significant implications for marketers, customers and policymakers of other developed economies. The authors recommend expansionary economic policies to boost consumer confidence, raise economic growth and result in job creation.

The study is unique in quantifying the potential variations in US consumer confidence due to COVID-19 under different scenarios; by providing a projection until December 2021. It also estimates the time needed for recovery and guidance for policymakers on ways to contain the COVID-19 shock negative impacts on the economy by restoring consumer confidence.

This paper aims to deal with a closer look into the nature and extent of consumer expenditure inequality in India to identify the major contributions those are embedded, particularly after the economic reforms. Relative contributions of major consumption items/sources to the overall expenditure inequality are quantitatively examined in terms of a decomposition exercise. Eventually, the paper investigates the relative marginal effects of expenditure components/sources on overall inequality.

Gini index is used to measure the degree of inequality in consumer expenditure. Contribution of each expenditure sources to overall inequality is estimated by using source decomposition technique of Gini index contributed by Lerman and Yitzhaki.

The study observes that the inequality in consumer expenditure has increased in both the rural and the urban parts of India during the post-reform period. Non-food expenditure is more unevenly distributed, and it has been found to be more pro-rich in nature. Expenditure on cereals and pulses still exhibits higher inequality-reducing effect in rural and urban India. Education and health-care expenses have been inequality-increasing in the country. Contribution of expenditure on miscellaneous consumer services, durable goods, education and health care to the overall expenditure inequality is significantly higher.

The study identifies the capacity of different expenditure sources towards increasing or decreasing the overall inequality which is crucial for better redistributive policies to be adopted to enhance the well-being of the economy in real sense.

Recent work on the econometric specification of the consumption function by London Business School (LBS) forecasters has argued that the inclusion of a variable capturing movements in demographic structure is essential to the explanation of the recent sharp drop in the UK personal savings ratio. It is shown that the inclusion of demographic factors does not provide a model that is robust to alternative data formulations. On the contrary, an adequate explanation for recent movements in aggregate consumers′ expenditure can be found using the LBS data by specifying a consumption function that incorporates adjustment of income to control for the maintenance of the real value of asset holdings, following Hendry and Von Ungern‐Sternberg (1981).

The purpose of this paper is to establish the predictors of consumers’ annual monetary expenditures on clothing and footwear in Quito, the capital of Ecuador, a developing Latin American country.

The research followed an exploratory, sequential, mixed methods design. The first phase consisted of in-depth interviews with adult individuals. The second phase involved surveying a similar segment of the population.

The present study supports the importance of demographic and psychological factors as predictors. The study also identifies two new groups of predictors: consumers’ reception of used clothing and physical space at home and its management.

In addition to demographic variables, consumer panels that measure expenditures on clothing and footwear should include psychological measures of participants, particularly clothing involvement. Clothing manufacturers and retailers in developing countries should consider the impact of receiving used clothes by consumers. Because clothing buying and disposal behaviors are positively associated, companies should become more involved in their customers’ disposal behavior.

The contribution of the present study is twofold. First, it contributes to the understanding of clothing and footwear expenditures by considering the individual consumer as a unit of analysis. Furthermore, it provides insights into this behavior from a little-studied context.

The purpose of this is study is to identify sources of demand growth for apparel in the US based on consumer demographic profiles, regions, and product characteristics.

A two‐step procedure was utilized to model, estimate, and analyze purchasing decision and consumer demand for nine apparel products (male shirts, shorts, jeans and slacks and female slacks, skirts, shorts, dresses and jeans). This study is based on a survey conducted by the American shoppers' panel, which collects consumption data of various garments, socioeconomic profiles, and product characteristics.

The results indicate that purchase decisions are determined by garments' own prices, age, female employment, gender, regions, and the presence of children. The study also shows evidence that the effect of product‐specific pricing strategies would be limited to the targeted products and the origin of the product has minimal effect on consumer expenditures on apparel.

This study is one of the few that have used disaggregated apparel products and detailed demographic factors, thus has clear marketing implications and can be useful to the apparel industry.