This paper presents an approach for assessing lifestyle carbon footprints and lifestyle change options aimed at achieving the 1.5 °C climate goal and facilitating the transition to decarbonized lifestyles through stakeholder participatory research. Using data on Finland and Japan it shows potential impacts of reducing carbon footprints through changes in lifestyles for around 30 options covering food, housing, and mobility domains, in comparison with the 2030 and 2050 per-capita targets (2.5-3.2 tCO2e by 2030; 0.7-1.4 tCO2e by 2050). It discusses research opportunities for expanding the footprint-based quantitative analysis to incorporate subnational analysis, living lab, and scenario development aiming at advancing sustainability science on the transition to decarbonized lifestyles.
Cities and urban consumers play a central role in the transition to a decarbonized society. Building on existing studies that identify the significant contributions of lifestyle changes, this study proposes a practical methodology for modeling and exploring city-specific carbon footprint reduction pathways through lifestyle changes to decarbonization. It uses an input-output approach with mixed-unit consumption data and the concept of adoption rates, which is applicable to multiple cities with widely available subnational household consumption data. This paper illustrates the use of this methodology by exploring the consumption-based mitigation pathways of 52 Japanese cities with 65 lifestyle change options covering mobility, housing, food, consumer goods, and leisure domains. The results revealed that city-specific impacts of a variety of lifestyle change options can differ by as much as a factor of five among cities, even in the urban context within the same country. Due to this city-level heterogeneity, the priority options of decarbonized lifestyles, such as among shared mobility, low-carbon diets, and longevity of consumer goods, have shifted between cities. The analysis suggests that ambitious urban lifestyle changes can potentially reduce their carbon footprints to meet the 1.5 ℃ target. However, due to the overlaps of mitigation potentials between multiple lifestyle change options, the necessary levels of adoption and coverage are extensive (i.e., adoption rates of 0.6-0.9). Importantly, adopting lifestyle changes with an efficiency strategy (e.g., the introduction of end-use technologies) or sufficiency strategy (e.g., behavioral changes in consumption amounts and modes) alone is not enough; the only way to succeed is through the combination of both strategies. This paper calls for a target-based exploration and identification of city-specific priorities of lifestyle change options to facilitate consumption-oriented mitigation policies and stakeholder actions to address the climate impacts of urban consumption.
Addressing the prevailing mode of high-carbon lifestyles is crucial for the transition towards a net-zero carbon society. Existing studies fail to fully investigate the underlining factors of unsustainable lifestyles beyond individual determinants nor consider the gaps between current footprints and reduction targets. This study examines latent lifestyle factors related to carbon footprints and analyzes gaps between decarbonization targets and current lifestyles of major consumer segments through exploratory factor analysis and cluster analysis. As a case study on Japanese households, it estimates carbon footprints of over 47,000 households using expenditure survey microdata, and identifies high-carbon lifestyle factors and consumer segments by multivariate regression analysis, factor analysis, and cluster analysis. Income, savings, family composition, house size and type, ownership of durables and automobiles, and work style were confirmed as determinants of high-footprint Japanese households, with eight lifestyles factors, including long-distance leisure, materialistic consumption, and meat-rich diets, identified as the main contributory factors. The study revealed a five-fold difference between lowest and highest footprint segments, with all segments overshooting the 2030 and 2050 decarbonization targets. The findings imply the urgent need for policies tailored to diverse consumer segments and to address the underlying causes of high-carbon lifestyles especially of high-carbon segments.
The paper describes patterns of resource use related to German households' equipment. Using cluster analysis and material flow accounting, data on socio-demographic characteristics, and expenditures on fuel, electricity and household equipment allow for a differentiation of seven different household types. The corresponding resource use, expressed in Material Footprint per person and year, is calculated based on cradle-to-gate material flows of average household goods and the related household energy use. Our results show that patterns of resource use are mainly driven by the use of fuel and electricity and the ownership of cars. The quantified Material Footprints correlate to social status and are also linked to city size, age and household size. Affluent, established and/or younger families living in rural areas typically show the highest amounts of durables and expenditures on non-durables, thus exhibiting the highest use of natural resources.
Businesses are under increasing pressure to improve the resource efficiency of their products and services. There is a need for practical tools that enable businesses to implement resource efficiency in their value chains. In this paper, a mixed-method approach for assessing the life-cycle-wide use of natural resources in products and services is applied in a case study on a coffee value chain of the company Mars Incorporated. Material inputs along the entire chain were assessed quantitatively using the Material Input Per unit of Service method, while a semi-quantitative Hot Spot Analysis was performed to identify environmental hot spots. This mixed-method approach has been implemented for the first time in practice to assess the value-chain-wide resource consumption and environmental impacts within a specific value chain of Mars Incorporated. The paper concludes that combining the methods provides better insights into the value chain than using just one of either of the methods alone. For the company, the approach has proven to be practicable because it identifies improvement options and their value-chain-wide resource efficiency potential.
The paper presents a case study of applying crowdsourcing to library deliveries. The trial was conducted in the city of Jyväskylä in Finland as part of the Resource Wise Communities program funded by The Finnish Innovation Fund Sitra. The city has a population of 120 000 inhabitants and is facing the shut-down of half of the public libraries in order to adapt its economy to lowered revenues and compulsory cost savings. The assumption was that the level of service for customers not able to settle for e-books would be lowered and/or customers would have to travel longer distances. However, a research pilot was carried out where - instead of lowering the level of service in the area - books and other library media were delivered to customers' homes by utilizing a novel crowdsourced delivery service called PiggyBaggy.
Crowdsourced delivery means that citizens deliver goods to each other along their way. Ideally, the deliveries would be made with minimal detour, along the way, thus maximizing the reduction in natural resource use and related environmental impacts from the transport. However, the transport fuel forms only one part of the overall footprint and in practice rebound effects such as drivers travelling longer distances motivated by monetary compensation, can reduce the targeted environmental improvement.
The objective of our study was to investigate whether an existing consumer service, in this case the library public service, can adopt crowdsourced deliveries quickly from scratch, and to whether consumers participate in the deliveries in a way that has real sustainability benefits. Despite prevailing regulative challenges, the study found that existing library deliveries can be successfully crowdsourced. Each crowdsourced delivery reduced an average of 1.6 kilometers driven by car, despite 80 percent of the deliveries being made within less than a five-kilometer distance. Mobility related footprint reduction potential for Finland is also estimated.
The field of nutrition will face numerous challenges in coming decades; these arise from changing lifestyles and global consumption patterns accompanied by a high use of resources. Against this background, this paper presents a newly designed tool to decrease the effect on nutrition, the so-called Nutritional Footprint. The tool is based on implementing the concept of a sustainable diet in decision-making processes, and supporting a resource-light society. The concept integrates four indicators in each of the two nutrition-related fields of health and environment, and condenses them into an easily communicable result, which limits its results to one effect level. Applied to eight lunch meals, the methodology and its calculations procedures are presented in detail. The results underline the general scientific view of food products; animal-protein based meals are more relevant considering their health and environmental effects. The concept seems useful for consumers to evaluate their own choices, and companies to expand their internal data, their benchmarking processes, or their external communication performance. Methodological shortcomings and the interpretation of results are discussed, and the conclusion shows the tools' potential for shaping transition processes, and for the reduction of natural resource use by supporting food suppliers' and consumers' decisions and choice.
This paper presents a new household-level methodology for transition towards sustainability. The methodology includes measuring the resource use of households on a micro level, testing relevant measures towards a one-planet resource use, and developing mainstreaming options in co-operation with households and providers of services, products, and infrastructures. We use the MIPS (Material Input Per unit of Service) method to calculate the use of natural resources and concentrate on the material footprint as an aggregated indicator for the overall use of material resources. With HST (Household-level Sustainability Transition) methodology, we extend the material footprint methodology from just measuring household resource use to developing visions, conducting experiments, as well as learning and upscaling, all of which contribute to the whole Transition-Enabling Cycle. Results from the first application of the HST methodology on five households in Jyväskylä, Finland, show that it is possible to achieve a significantly more sustainable level of consumption by a relatively few changes in everyday living. Achieving a one-planet use of material resources, however, also requires systemic changes.
The concept Material Input per Service Unit (MIPS) was developed 20 years ago as a measure for the overall natural resource use of products and services. The material intensity analysis is used to calculate the material footprint of any economic activities in production and consumption. Environmental assessment has developed extensive databases for life cycle inventories, which can additionally be adopted for material intensity analysis. Based on practical experience in measuring material footprints on the micro level, this paper presents the current state of research and methodology development: it shows the international discussions on the importance of accounting methodologies to measure progress in resource efficiency. The MIPS approach is presented and its micro level application for assessing value chains, supporting business management, and operationalizing sustainability strategies is discussed. Linkages to output-oriented Life Cycle Assessment as well as to Material Flow Analysis (MFA) at the macro level are pointed out. Finally we come to the conclusion that the MIPS approach provides relevant knowledge on resource and energy input at the micro level for fact-based decision-making in science, policy, business, and consumption.
The paper suggests a sustainable material footprint of eight tons, per person, in a year as a resource cap target for household consumption in Finland. This means an 80% (factor 5) reduction from the present Finnish average. The material footprint is used as a synonym to the Total Material Requirement (TMR) calculated for products and activities. The paper suggests how to allocate the sustainable material footprint to different consumption components on the basis of earlier household studies, as well as other studies, on the material intensity of products, services, and infrastructures. It analyzes requirements, opportunities, and challenges for future developments in technology and lifestyle, also taking into account that future lifestyles are supposed to show a high degree of diversity. The targets and approaches are discussed for the consumption components of nutrition, housing, household goods, mobility, leisure activities, and other purposes. The paper states that a sustainable level of natural resource use by households is achievable and it can be roughly allocated to different consumption components in order to illustrate the need for a change in lifestyles. While the absolute material footprint of all the consumption components will have to decrease, the relative share of nutrition, the most basic human need, in the total material footprint is expected to rise, whereas much smaller shares than at present are proposed for housing and especially mobility. For reducing material resource use to the sustainable level suggested, both social innovations, and technological developments are required.