Analysis of the Consumption Patterns in Families with and without Elderly Members between 1987 and 2009 in the Metropolitan Regions of Brazil

Almeida, Alexandre Nunes de; Souza, Lívia Rodrigues Spaggiari

doi:10.1007/s12062-018-9233-7

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…In the international literature, many studies analyzed the pattern of consumption of the elderly in different countries, such as Lührmann (2005) in Germany, Lefèbvre (2006) in Belgium, Dewhurst (2006) in Scotland, Ying and Yao (2006) in China, Della Vigna and Pollet (2007) and Banerjee (2012) in USA and Albuquerque and Lopes (2009) in Portugal. In Brazil, several recent studies investigated social and economic characteristics of the Brazilian elderly, especially Almeida and Kassouf (2004), Almeida and Freitas (2007), Zanon et al (2013), Melo et al (2014) and Almeida and Souza (2019). Among these studies, we highlight Almeida and Souza (2019), which analyzed the differences in consumption patterns between families that are headed by the elderly and those that are not using Brazilian household budget surveys for the years 1987/88, 1995/96, 2002/03 and 2008/09.…”

Section: Introductionmentioning

confidence: 99%

“…In Brazil, several recent studies investigated social and economic characteristics of the Brazilian elderly, especially Almeida and Kassouf (2004), Almeida and Freitas (2007), Zanon et al (2013), Melo et al (2014) and Almeida and Souza (2019). Among these studies, we highlight Almeida and Souza (2019), which analyzed the differences in consumption patterns between families that are headed by the elderly and those that are not using Brazilian household budget surveys for the years 1987/88, 1995/96, 2002/03 and 2008/09. The authors found that elderly-headed families spent more on pharmaceuticals and health, and people aged 60–70 presented a profile of consumer behavior that was similar to nonelderly individuals.…”

Section: Introductionmentioning

confidence: 99%

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Consumption patterns and demand in households headed by the elderly: evidence from Brazil

Travassos

Coelho

Arends‐Kuenning

2021

IJSE

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PurposeThe main objective of this paper is to analyze patterns of consumption expenditure and the effects of income, prices and socioeconomic and demographic factors on demand among elderly- and young-adult-headed households in Brazil.Design/methodology/approachThe authors estimated a Quadratic Almost Ideal Demand System demand system using the main household consumption good groups – food, housing, clothing, transportation, health care and other expenses – with data from three Brazilian Household Budget surveys.FindingsThe study results showed that elderly- and young-adult-headed households have different consumption patterns. The consumption of food, transportation and health care was more price-sensitive for households headed by the elderly, while higher income increases health care expenses in elderly-headed households to a greater extent than it does in younger-headed households.Research limitations/implicationsThe limitations are due to the structure of the data used, such as the effects of seasonality and individualized demand analyses, and sample design in the estimates. However, due to the structure of the demand models, which when estimating by seemingly unrelated regressions do not allow to take into account the sample design.Practical implicationsAs a consequence of population aging, the Brazilian economy will experience changes in the composition of household consumption, mainly for food, housing, transportation and health-care-related products.Originality/valueThis paper fulfills the lack of studies that analyze the consumption patterns and how demand varies across different types of elderly-headed households in a developing country, such as Brazil.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Consumption patterns and demand in households headed by the elderly: evidence from Brazil

Travassos

Coelho

Arends‐Kuenning

2021

IJSE

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“…A significant divide in consumption preferences is observed between the elderly and the young as the elder people generally spend more on medical care and health services and less on food and clothing (Sorensen, 2013; Almeida and Souza, 2019). Meanwhile, aging affects household carbon emissions indirectly via changes in income level and structure and amount of energy usage (Fan et al ., 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Comparing the determinants of household carbon footprints between rural and urban: evidence from China household survey data

Lv,

Liu,

Chai

2024

CAER

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PurposeUrbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption.Design/methodology/approachWe employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018.FindingsThe results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas.Originality/valueThis paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.

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“…Zhang, et al [6] concluded that older households require fewer industrial goods and more services than younger households. Furthermore, decreasing social activities make them spend less on clothing, entertainment, and transportation [1,41]. In comparison, they spend more time in their rooms, which consumes more residential energy [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Structural Characteristics of the Household Carbon Footprint in an Aging Society

Long,

Feng,

Sun

et al. 2023

Sustainability

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The aging population has posed a challenge to China’s carbon neutrality pledge. To study the household carbon footprint in an aging society, this paper has combined the age-specific consumption pattern and environmental input-output life cycle assessment (EIO-LCA) to calculate the carbon footprint of household consumption across age groups, and then identified the key pathways of carbon emissions via structural path analysis (SPA). Results indicate that the elderly contribute 11.65% to total consumption-based carbon emissions. The working group (ages 15–64) has the highest average carbon footprint (0.85 tCO2e), while the elderly group (ages 65 and above) has the lowest average carbon footprint (0.82 tCO2e). Urban households of all ages have a higher carbon footprint than rural households. Housing and food are the dominant sources of the elderly carbon footprint. Notably, the production and distribution of electric power and heat power sector associated with housing energy consumption plays a leading role in the carbon emissions pathways of elderly consumption. Measuring the carbon footprint of older people can support policy designs and decision making in key sectors along the supply chain, and further encourage low-carbon lifestyles among China’s elderly. Additionally, the findings of this study have broad applications, especially for developing countries undergoing demographic transitions.

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Analysis of the Consumption Patterns in Families with and without Elderly Members between 1987 and 2009 in the Metropolitan Regions of Brazil

Cited by 6 publications

References 25 publications

Consumption patterns and demand in households headed by the elderly: evidence from Brazil

Consumption patterns and demand in households headed by the elderly: evidence from Brazil

Comparing the determinants of household carbon footprints between rural and urban: evidence from China household survey data

Structural Characteristics of the Household Carbon Footprint in an Aging Society

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