Drivers of household consumption expenditure and carbon footprints in Finland

Salo, Maija-Liisa; Savolainen, Hannu; Karhinen, Santtu; Nissinen, Ari

doi:10.1016/j.jclepro.2020.125607

Cited by 53 publications

(29 citation statements)

References 57 publications

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“…We also chose the target levels to comply with our footprints' scope. The scope differences are the main reason why average per capita footprints in our sample are lower than those reported in previous studies in the Nordics: 12.2 to 15.2 t CO 2 e in Denmark (Hertwich, Peters 2009, Ivanova et al 2016, 8.88 to 18 t CO 2 e in Finland (Hertwich, Peters 2009, Ala-Mantila et al 2016, Ivanova et al 2016, Salo and Nissinen 2017, Koide et al 2021a, 10.4 t CO 2 e in Iceland (Clarke et al 2017), 10.3 to 14.9 t CO 2 e in Norway and 8.7 to 10.5 t CO 2 e for Sweden (Hertwich, Peters 2009, Ivanova et al 2016. Other reasons include the changes in carbon intensities and consumption patterns since the other studies were conducted, as well as potentially higher adoption rates of the demand-side actions in our sample than in whole societies.…”

Section: Limitations and Uncertaintiescontrasting

confidence: 74%

Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries

Heinonen

Olson

Czepkiewicz

et al. 2022

Environ. Res. Commun.

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Consumption-based carbon footprints have been widely used to examine how different demand-side solutions can reduce the emissions from personal consumption. This study not only utilized consumption-based carbon footprints to examine how people living in affluent nations like the Nordic countries can live 1.5 degree warming compatible lifestyles, but it also expanded on this analysis by focusing on which level of GHG intensity per monetary unit of expenditure it is possible to remain below a 1.5-degree compatible target level at different levels of consumption expenditure. To analyze the GHG intensity per monetary unit of consumption, first, the consumption-based carbon footprints from around 8,000 survey responses from the Nordic countries were calculated. Then the average carbon intensity per unit of monetary spending was calculated across the income deciles in each country and compared to target levels that align with the 1.5-degree compatible reduction pathways by 2030. Finally, the intensities for selected low-carbon consumption choices (vegan/vegetarian diet, driving an EV, renewable electricity for the home, not owning a car, and no air travel) were calculated and compared to the same baseline targets. Our results showed that all of the average carbon footprints and GHG intensities were above the target levels in all of the countries. However, when comparing respondents having adopted two or more low-carbon consumption choices, there were examples of average intensities that met the target levels. The adoption rates of these low-carbon consumption choices were low though, which illustrates the necessity for high adoption rates of multiple low-carbon consumption choices in order to materialize the potential of demand-side climate change mitigation options. Our findings highlight the importance of examining the GHG intensity of per monetary unit expenditure to inform future policies on demand-side solutions and to improve the climate-literacy of consumers, so they can make more informed decisions on consumption choices.

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Section: Limitations and Uncertaintiescontrasting

confidence: 74%

Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries

Heinonen

Olson

Czepkiewicz

et al. 2022

Environ. Res. Commun.

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“…is series of data reflects the current development status of China's communication industry: compared with residents' income and other consumption, communication consumption has a relatively downward trend [6]. Furthermore, from the perspective of each region, with the increase of income and consumption, although residents' communication consumption is also increasing, the communication consumption coefficient and the proportion of communication consumption in per capita income also show a downward trend [7].…”

Section: Evaluation Model Of Regional Household Consumptionmentioning

confidence: 99%

Modeling and Analysis of the Impact of Information and Communication Technology on Household Consumption Expenditure in Different Regions

Fan

Law

Ibrahim

et al. 2022

Mathematical Problems in Engineering

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Based on the panel data of cities and towns in China, by using the generalized estimation method of a dynamic panel, through the construction of regional household consumption expenditure evaluation models, optimize the impact evaluation algorithm of household consumption expenditure in different regions, standardize critic indicators, and build the impact modeling of household consumption expenditure in combination with relevant algorithms such as the Engel coefficient. Finally, it is verified by experiments that the impact model of ICT on household consumption expenditure in different regions has high practicability and fully meets the research requirements.

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“…They also suggested that Thailand should consider using more sustainable energy sources. Salo et al 4 investigated how differences in consumption patterns affect the CF and provided implications for policymaking. Chen et al 5 explored household energy use and carbon emissions in Beijing between 1996 and 2011 and investigated the most energy/carbon-intensive consumption behaviors.…”

Section: Introductionmentioning

confidence: 99%

Environmental Impact Assessment of Undergraduate Apparel Consumption Behavior

Zhu

Chen

Huang

et al. 2023

AATCC Journal of Research

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Lifestyle changes have altered the consumption behavior of people. As one of the most energy-intensive and energy-consuming activities in the apparel consumption process, laundry and clothes drying have a significant impact on the environment in terms of carbon emissions and water consumption. Undergraduates are a special category of people whose worldviews are in the developmental stage, and it is important to study and develop their beliefs and behaviors regarding environmental consumption. This study investigates and evaluates the relationship between undergraduates’ consumption behaviors and environmental impacts. The 125 undergraduates in Hangzhou, China are classified into three different washing modes: H-mode (hand-washing only), M-mode (machine-washing only), and HM-mode (hand- and machine-washing) on the basis of their washing behavior. The environmental impacts including water footprint and carbon footprint of undergraduates are calculated by the methods of direct consumptive carbon footprint ([Formula: see text]) and direct consumptive water footprint ([Formula: see text]). The results show that the factors leading to the environmental impacts of Hangzhou undergraduates’ apparel consumption behavior are: washing frequency, consumer knowledge, washing method, drying frequency and method and clothing purchase quantity. It also reveals that higher washing and drying frequencies can lead to more energy and water consumption, which ultimately result in more severe environmental impact. Besides, consumer knowledge, washing and drying method do have a significant influence on undergraduates’[Formula: see text] and [Formula: see text]. Understanding the factors that influence undergraduates’ apparel consumption behavior can help cultivate their environmental awareness as well as provide guidance to the government and universities in identifying the environmental impact of undergraduates’ clothing consumption.

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Drivers of household consumption expenditure and carbon footprints in Finland

Cited by 53 publications

References 57 publications

Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries

Too much consumption or too high emissions intensities? Explaining the high consumption-based carbon footprints in the Nordic countries

Modeling and Analysis of the Impact of Information and Communication Technology on Household Consumption Expenditure in Different Regions

Environmental Impact Assessment of Undergraduate Apparel Consumption Behavior

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