Pursuing More Sustainable Consumption by Analyzing Household Metabolism in European Countries and Cities

Bringing about more sustainable consumption patterns is an important challenge for society and science. In this article the concept of household metabolism is applied to analyzing consumption patterns and to identifying possibilities for the development of sustainable household consumption patterns. Household metabolism is determined in terms of total energy requirements, including both direct and indirect energy requirements, using a hybrid method. This method enables us to evaluate various determinants of the environmental load of consumption consistently at several levels—the national level, the local level, and the household level.
The average annual energy requirement of households varies considerably between the Netherlands, the United Kingdom, Norway, and Sweden, as well as within these countries. The average expenditure level per household explains a large part of the observed variations. Differences between these countries are also related to the efficiency of the production sectors and to the energy supply system. The consumption categories of food, transport, and recreation show the largest contributions to the environmental load. A comparison of consumer groups with different household characteristics shows remarkable differences in the division of spending over the consumption categories.
Thus, analyses of different types of households are important for providing a basis for options to induce decreases of the environmental load of household consumption. At the city level, options for change are provided by an analysis of the city infrastructure, which determines a large part of the direct energy use by households (for transport and heating). At the national level, energy efficiency in production and in electricity generation is an important trigger for decreasing household energy requirements.     

Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts

As major drivers of economy, households induce a large share of worldwide environmental impacts. The variability of local consumption patterns and associated environmental impacts needs to be quantified as an important starting point to devise targeted measures aimed at reducing household environmental footprints. The goal of this article is the development and appraisal of a comprehensive regionalized bottom‐up model that assesses realistic environmental profiles for individual households in a specific region. For this purpose, a physically based building energy model, the results of an agent‐based transport simulation, and a data‐driven household consumption model were interlinked within a new probability‐based classification framework and applied to the case of Switzerland. The resulting model predicts the demands in about 400 different consumption areas for each Swiss household by considering its particular circumstances and produces a realistic picture of variability in household environmental footprints. An analysis of the model results on a municipal level reveals per‐capita income, population density, buildings' age, and household structure as possible drivers of municipal carbon footprints. While higher‐emission municipalities are located in rural areas and tend to show higher shares of older buildings, lower‐emission communities have larger proportions of families and can be found in highly populated regions by trend. However, the opposing effects of various variables observed in this analysis confirm the importance of a model that is able to capture regional distinctions. The overall model constitutes a comprehensive information base supporting policymakers in understanding consumption patterns in their region and deriving environmental strategies tailored to their specific population.     

An Analysis of Sustainable Consumption by the Waste Input-Output Model

The extension of the waste input-output (WIO) model to analyze households' sustainable consumption patterns is presented in this article. We estimate direct and indirect emission loads induced by household consumption by the WIO model. The WIO model is much more suitable for the analysis of sustainable consumption than the conventional input-output model because it can deal with the disposal stage of consumed goods as well as the purchase and use stages. A simple method for evaluating income rebound effects is also introduced. As indicators of environmental loads, we estimate carbon dioxide (CO₂) emissions and landfill consumption induced by household consumption. The model is applied to some typical sustainable consumption scenarios: shifting transportation modes from a private car to public transportation, the longer use of household electric appliances, and eating at restaurants instead of cooking at home. We found that the income rebound effects should be considered to evaluate environmental loads induced by different consumption patterns.     

The Importance of Imports for Household Environmental Impacts

A promising way to reduce environmental impacts of consumer expenditure is through the encouragement of more sustainable consumption patterns. Consumers cause environmental impacts both directly, such as by fuel use in personal cars, and indirectly, by paying for the production of consumables. With increased international trade, the indirect environmental impacts are difficult to determine because a portion of the emissions occurs in different geographical regions. Many previous studies have unrealistically assumed that imports are produced using domestic production technology. For countries with diverging technology and energy mixes the likely errors are significant. This study applies a methodology that explicitly includes technology differences to the case of Norwegian households. It is found that a significant portion of pollution is embodied in Norwegian household imports. Further, a disproportionately large amount of pollution is embodied in imports from developing countries. Overall, as in previous studies, we find that mobility and food are most important in terms of household environmental impacts. By analyzing the imports in more detail we find that for some sectors the majority of emissions occur in foreign regions; in particular, this is true for food, business services, clothing, chemicals, furniture, cars, agriculture, textiles, and most manufactured products.     

49th Discussion forum on LCA—sustainable consumption patterns—September 18, 2012, Zurich, Switzerland

There are different ways and strategies to reduce the environmental impacts caused today. One starting point for reducing the environmental impacts of today is the private consumption. Finally, all goods and services provided in a country contribute to fulfil the needs and demands of consumers. Several national and international initiatives therefore aim for a considerable reduction of the environmental impacts of consumption patterns. The 49th LCA Discussion Forum analysed the present consumption patterns of households and their consequent environmental impacts. Based on this, potentials for a reduction of the environmental impacts were identified and discussed. In this context, the possible applications, advantages and drawbacks of the life cycle assessment (LCA) methodology were analysed. National and international speakers provided qualified insights on the topic. The 49th Discussion Forum concentrated on different aspects of sustainable consumption patterns. The focus lay on private households and the environmental impacts caused by their consumption patterns. In the first session, the idea of the “2000-Watt society” was introduced as an example of a concept of a “sustainable lifestyle”. Another way of analysing the total impacts is the consumption perspective introduced in a second presentation. Based on an analysis of environmental impacts due to final demand of Swiss households, different measures for a reduction of environmental impacts were proposed and analysed. The second session examined similar activities in Germany. The short presentations covered the communication of LCA results. The third session focused on web-based eco-calculators. In the last session, two scientific inputs were given on the modelling of household consumption patterns and on the impact of rebound effects on the environmental impact of private consumption. The most important consumption domains are nutrition, mobility and energy use in households. Apart from different modelling approaches and boundary conditions, the majority of the presentations showed that today’s consumption patterns in Switzerland and Germany are far away from a sustainable level. Considerable reduction measures are needed in order to reach this goal. Eco-calculators and similar tools provide an effective way to raise customer awareness. In general, it is very important to communicate LCA results in a simple, clear and transparent way.     

Indirect and Direct Energy Requirements of City Households in Sweden: Options for Reduction, Lessons from Modeling

The objective of this article is to explore the potential for lowering household energy use given existing local support systems, in this case in the Stockholm inner city with the aid of the Dutch energy analysis program (EAP) that was adapted to Swedish conditions and that portrays total energy use for 300 consumption categories. Previously such modeling for Sweden was carried out using only Dutch databases. Our case-study area is well equipped with food stores, local markets, public transportation, and entertainment, facilitating some energy-efficient consumption choices. With maintained expenditure levels but changed consumption patterns, current reduction potentials are on the order of 10–20%. Options concerning diet can lower food indirect energy use by up to 30%, whereas options in other areas have a lower potential. Further reductions will require enhanced local support systems, external as well as internal. The results indicate that it is risky not to use nationally adapted figures for energy efficiency in the production sectors when modeling household energy use, because potential for change may be overlooked. Future work should include foreign energy intensities when modeling imported goods; otherwise, results may be less reliable. The Swedish EAP needs further work before it can be put to use as a modeling tool for everyday behavior, but it is already generating important possibilities for producing reliable data that can be used by local energy counselors.     

北京市居民食物消费碳足迹

碳足迹作为一种评价碳排放影响的全新测度方法,已被用来衡量人类活动对大气环境和气候变化的影响。食物是人类的首要消费品,其消费的碳足迹反应维持一个区域人口的基本食物需求的碳排放以及对气候变化的影响。在碳足迹理论和模型的基础上,根据北京市食物的供应和消费现状情况,利用生命周期法(Life cycle analysis LCA),计算和分析了北京市居民食物消费的碳足迹。得到北京市居民食消费碳足迹为476.8×104t,约占北京市总碳足迹的6%,人均碳足迹为310.0kgCO2/人,占北京市家庭消费碳排放的23.3%,只占北京市能源消费人均碳排放量的5.96%,反映了居民食物消费对全球气候变化造成的影响有限。食物消费碳足迹最大的为粮食,其次为瓜果蔬菜豆类,总共占到65%以上,而在食物生命周期过程中,食物的再加工炊事过程碳排放最大,超过50%,合理减少食物加工炊事过程中碳排放将是减少食物消费碳排放的重要途径之一。其次为化肥农药施用,占到23.23%,减少食物生产过程中化肥农药使用,提高化肥农药的使用效率,或者进行生态农业尽量不使用化肥农药,北京市每年可减少135.1×104t CO2排放,人均87.84kgCO2/人,是有效的减排途径之一。     

From Energy to Environmental Analysis

Unsustainable private consumption causes energy and environmental problems. This occurs directly (resource depletion and emissions through using cars for transport) or indirectly (purchase of consumer goods and services for which the production uses energy and emits damaging gases). A hybrid energy analysis proved that indoor energy consumption, mobility, and vacations are the main consumer categories from an energy point of view. Although energy is often used as a proxy for environmental load from private consumption, there are other proxies like methane (CH₄), sulfur oxides (SO_x), and land use. This article describes the results of the extension of the hybrid energy analysis with energy and ten environmental stressors (CH₄, nitrous oxide [N₂O], nitrogen, phosphate, SO_x, nitrogen oxides [NO_x], ammonia [NH₃], nonmethane volatile organic compounds [NMVOCs], particulate matter [PM10], and land use), combined in five impact categories (global warming potential [GWP], acidification, eutrophication, summer smog, and land use). Household consumption was analyzed by dividing Dutch household expenditure into 368 consumer items in 11 categories. The results show that food impacts, in particular, are underestimated when only energy is taken into account. Food makes the highest contribution in three out of five impact categories when all ten stressors are taken into account. Within the food domain, meat and dairy consumer items have the highest environmental impact, about 45% of total food impact on average across all five impact categories. Looking in detail (368 consumer items), there are nine food items in the top ten most‐polluting items. Salad oil and cheese are the most polluting food items.     

Capital in the American carbon,energy, and material footprint

Stocks of fixed capital play a vital role in fulfilling basic human needs and facilitating industrial production. Their build‐up requires great quantities of energy and materials, and generates greenhouse gas emissions and other pollution. Capital stocks influence economic production and environmental pollution through their construction and over subsequent decades through their use. We perform an environmental footprint analysis of total consumption, capital investment, and capital consumption in the United States for 2007 and 2012. In 2012, capital consumption accounted for 13%, 19%, and 40% of total carbon, energy, and material footprints, respectively. Housing, federal defense, state and local government education and other services (including household consumption of roads), personal transport fuels, and hospitals are the consumption sectors with largest capital footprints. These sectors provide fundamental needs of shelter, transport, education, and health, underlying the importance of capital services. Endogenizing capital causes the biggest proportional increase to footprints of sectors with low environmental multipliers. This work builds upon existing input‐output models of production and consumption in the United States, and provides a capital‐inclusive database of carbon, energy, and material footprints and multipliers for 2007 and 2012. This article met the requirements for a gold – gold JIE data openness badge described at http://jie.click/badges .     

中国城市家庭代谢及其影响因素分析

家庭是可持续消费研究的主要对象,为了分析家庭消费的环境影响,荷兰的HOMES项目将代谢的概念引入家庭,提出了家庭代谢的概念。目前家庭代谢分析是评价家庭消费活动环境影响的主要方法,它通过对家庭系统中物质和能量流动过程的描述,来识别家庭消费的环境结果。本文首先介绍了家庭代谢的概念模型,该模型中包含着代谢流的方向、流量和速度3个要素,水资源、能源和物质代谢是家庭代谢的主要内容。应用这一模型,对中国城市家庭近20a的水资源和能源代谢进行描述,对家庭代谢的经济及人口社会因素进行了分析。结果表明,中国城市家庭的代谢量在可预见的短-中期时间内,将继续保持增加的趋势。     

生计方式对农户生活能源消费模式的影响——以甘南高原为例

生计方式变迁对农户的生活能源消费模式产生深远影响,从而给农村能源与环境问题带来新的挑战。以地处青藏高原东缘的甘南高原为研究区,基于农户调查资料,采用STIRPAT模型与二元logistic模型分析了生计方式对农户的生活能源消费量及生活能源消费模式选择的影响。结果发现:(1)随着非农化水平的提高,甘南高原农户的生活能源消费量显著下降,但它引起的生活能源消费量下降速度低于其自身的变化速度;此外,家庭规模扩大、收入提高将使农户的生活能源消费量增加;(2)生计方式对农户能源消费模式选择的影响远高于其他因素,随着非农化水平的提高,农户选择以商品性能源为主消费模式的概率将增大,收入增加、受教育程度提高及商品性能源的可得性改善亦会如此,但生物质能源的可得性增强会降低农户选择以商品性能源为主消费模式的概率。最后,提出了优化农户生活能源消费模式的建议。     

Ecological indicators of fruit and vegetable consumption (EIFVCs): A case study

Food and drink consumption was found to be responsible for around 20–30% of environmental impacts. Environmental impacts occur during all stages of the food production chain. However, households influence these impacts with through their choice of diet and habits, thus directly affecting the environment through food-related energy consumption and waste generation. With the multiplication of local policies for sustainable consumption, it has become increasingly useful to gather information on the evolution of the ecological impacts associated with household food consumption. Dealing with the indicators of household consumption of fruits and vegetables will enable changes in the population's lifestyles and the effectiveness of local policies to be monitored.The aims of this article are twofold: to provide a conceptual framework on the purposes of ecological indicators of fruit and vegetable consumption (EIFVCs) and to provide a methodological approach for selecting and measuring the most relevant EIFVCs at a local scale. Considering the great diversity of ecological impacts, the large number of potential EIFVCs must be reduced to obtain fewer EIFVCs, but that are relevant at local scale. To be relevant, the EIFVCs must provide information on the three phases of consumption (acquisition, use, and disposal) and on the upstream and downstream phases of the consumption process; they should evaluate the more problematic ecological impacts at the local scale (level of concern); and they have to only point out the ecological impacts that households can significantly reduce through their consumption rates. To measure relevant EIFVCs, three approaches must be combined: monitoring the ecological impacts, measuring the material and energy fluxes associated with household consumption, and analysing the consumer behaviours that result in the observed ecological impacts.As an illustration, the methodology is applied to the Bordeaux Metropolitan Area (France). In this area, eleven EIFVCs seem relevant. The use of surveys characterises all eleven of the EIFVCs, despite the difficulty of establishing quantified relationships between household behaviours and measured ecological impacts. The measuring of fluxes is possible for eight of them, whereas the monitoring of ecological impacts is only feasible for two of them.     

农户生活消费对环境影响的空间差异及其原因——基于张掖市2010年调查数据

农户是农村最主要的行为主体,其生活消费对环境有重要影响,然而农户的生活消费模式等因素的差异导致对环境的影响在空间上存在差异,为了缓解农户生活消费对环境的压力,需要研究其消费对环境影响的空间差异。基于张掖市2010年调查数据和统计资料研究了农户生活消费对环境影响空间差异,并分析了原因,研究结果显示:(1)张掖市2010年人均生态足迹为1.056hm2/人,人均生态承载力为1.705hm2/人,人均生态盈余0.649hm2/人;(2)从生态足迹的构成看,当地的生活消费主要是以生物资源和化石能源消耗为主,占总生态足迹的81%,而建筑用地和水域消耗最少,占总生态足迹的1.2%。;(3)张掖市五县(区)农户生活消费对环境的影响总体差异较小,Gini系数为0.309。但是区域间的差异远远大于区域内的差异,区域间的差异为0.442,占总差异的71.1%,区域内的差异为0.18,占总差异的28.9%。其中,甘州区农户生活消费对环境影响差异最大,Theil指数为0.078;(4)农户消费模式、家庭规模和人均年收入增多,将加剧农户对环境的压力,劳动力受教育程度、社会资本存量和非农化程度提高,将在一定程度上减缓农户对环境的影响。     

The Impacts of Household Consumption and Options for Change

This introductory article situates the contributions that comprise this special issue within the field of sustainable consumption and production (SCP) studies. After a brief review of the policy history surrounding SCP, we organize our discussion and the subsequent collection of articles into two groups. The first suite of articles views the environmental impacts associated with household consumption from the perspectives of different consumer groups, income levels, and geographic areas. This work confirms and refines several insights that have been developing over the past several years, namely that food and beverages, mobility, housing, and energy-using products are the most critical consumption domains from the standpoint of environmental sustainability and that higher household income leads to greater (but less than proportional) impacts. The second subset of articles analyzes the potential for mitigating these impacts through behavioral changes and innovation strategies. Although the contributions to this special issue describe several noteworthy examples of information- and team-based initiatives to catalyze behavioral changes, the state of knowledge pertaining to this aspect of the consumption problem is much more inchoate. Research on the formulation and implementation of effective "change management for sustainable consumption" should be treated as an area of priority attention for industrial ecologists.     

How City Dwellers Affect Their Resource Hinterland

This article links databases on household consumption, industrial production, economic turnover, employment, water use, and greenhouse gas emissions into a spatially explicit model. The causal sequence starts with households demanding a certain consumer basket. This demand requires production in a complex supply-chain network of interdependent industry sectors. Even though the household may be confined to a particular geographical location, say a dwelling in a city, the industries producing the indirect inputs for the commodities that the household demands will be dispersed all over Australia and probably beyond. Industrial production represents local points of economic activity, employment, water use, and emissions that have local economic, social, and environmental impacts. The consumer basket of a typical household is followed in Australia's two largest cities—Sydney and Melbourne—along its upstream supply chains and to numerous production sites within Australia. The spatial spread is described by means of a detailed regional interindustry model. Through industry-specific emissions profiles, industrial production is then translated into local impacts. We show that annually a typical household is responsible for producing approximately 80 tonnes of greenhouse gas emissions, uses around 3 million liters of water, causes about A$140,000 to circulate in the wider economy, and provides labor worth just under three full-time employment-years. We also introduce maps that visually demonstrate how a very localized household affects the environment across an entire continent. Our model is unprecedented in its spatial and sectoral detail, at least for Australia.     

Alternative Scenarios for Managing the Environmental Performance of a Service Sector Company

This article presents a scenario analysis for a life-cycle model of service sector companies. The model is based on six case companies and it is applied to test the influence of 32 management scenarios. The scenarios simulate feasible options for environmental management measures in companies, and the life-cycle assessment method is used to model their relevance in terms of the total environmental impact of the company. The study found that the bulk of tested scenarios had only a minor influence on the total environmental impact of the company. Some individual management scenarios, though, turned out to have a major influence on the organization's environmental performance. The scenarios with greatest influence were those related to the procurement of electricity, building energy consumption, commuting vehicle mix, space usage efficiency, and refurbishment periods of the building. All of these management scenarios had an influence of more than 10% on the environmental impact of the model organization.     

Energy use in the global food system

The global food system is a major energy user and a relevant contributor to climate change. To date, the literature on the energy profile of food systems addresses individual countries and/or food products, and therefore a comparable assessment across regions is still missing. This paper uses a global multi‐regional environmentally extended input–output database in combination with newly constructed net energy‐use accounts to provide a production and consumption‐based stock‐take of energy use in the food system across different world regions for the period 2000–2015. Overall, the ratio between energy use in the food system and the economy is slowly decreasing. Likewise, the absolute values point toward a relative decoupling between energy use and food production, as well as to relevant differences in energy types, users, and consumption patterns across world regions. The use of (inefficient) traditional biomass for cooking substantially reduces the expected gap between per capita figures in high‐ and low‐income countries. The variety of energy profiles and the higher exposure to energy security issues compared to the total economy in some regions suggests that interventions in the system should consider the geographical context. Reducing energy use and decarbonizing the supply chains of food products will require a combination of technological measures and behavioral changes in consumption patterns. Interventions should consider the effects beyond the direct effects on energy use, because changing production and consumption patterns in the food system can lead to positive spillovers in the social and environmental dimensions outlined in the Sustainable Development Goals.     

Information and Communication Technology‐Enabled Low Carbon Technologies

This article outlines the subsector of the information and communication technology (ICT) industry concerned with reducing the economy's environmental impact, dubbed ICT‐enabled low carbon technologies (ICTeLCTs). The article is based on a study funded by United Kingdom (UK) Trade and Investment, a division of the UK Department for Business, Innovation and Skills. ICTeLCTs can be segmented into specialist and generalist operators. Specialists focus on one or two ICT applications to monitor or reduce environmental issues, while generalists supply products and services enabling a firm or a private household to reduce the environmental impact of its activities. The subsector can be further segmented into green ICT, energy management, building management, carbon accounting, waste management, intelligent transport systems (ITSs), and water management. The main factors driving ICTeLCTs include legislation, voluntary environmental standards, corporate social responsibility (CSR) activities, customer demand, and competitive market factors. Policy makers should continue to drive the growth of ICTeLCTs with the introduction and refinement of environmental legislation regulating energy use and markets.     

A holistic look at minimizing adverse environmental impact under Section 316(b) of the Clean Water Act

Section 316(b) of the Clean Water Act (CWA) requires that "the location, design, construction, and capacity of cooling water intake structures reflect the best technology available for minimizing adverse environmental impact." As the U.S. Environmental Protection Agency (EPA) develops new regulations to implement Section 316(b), much of the debate has centered on adverse impingement and entrainment impacts of cooling-water intake structures. Depending on the specific location and intake layout, once-through cooling systems withdrawing many millions of gallons of water per day can, to a varying degree, harm fish and other aquatic organisms in the water bodies from which the cooling water is withdrawn. Therefore, opponents of once-through cooling systems have encouraged the EPA to require wet or dry cooling tower systems as the best technology available (BTA), without considering site-specific conditions. However, within the context of the broader scope of the CWA mandate, this focus seems too narrow. Therefore, this article examines the phrase "minimizing adverse environmental impact" in a holistic light. Emphasis is placed on the analysis of the terms "environmental" and "minimizing." Congress chose "environmental" in lieu of other more narrowly focused terms like "impingement and entrainment," "water quality," or "aquatic life." In this light, BTA for cooling-water intake structures must minimize the entire suite of environmental impacts, as opposed to just those associated with impingement and entrainment. Wet and dry cooling tower systems work well to minimize entrainment and impingement, but they introduce other equally important impacts because they impose an energy penalty on the power output of the generating unit. The energy penalty results from a reduction in plant operating efficiency and an increase in internal power consumption. As a consequence of the energy penalty, power companies must generate additional electricity to achieve the same net output. This added production leads to additional environmental impacts associated with extraction and processing of the fuel, air emissions from burning the fuel, and additional evaporation of freshwater supplies during the cooling process. Wet towers also require the use of toxic biocides that are subsequently discharged or disposed. The other term under consideration, "minimizing," does not equal "eliminating." Technologies may be available to minimize but not totally eliminate adverse environmental impacts.     

A Carbon Footprint of Textile Recycling: A Case Study in Sweden

Global population growth and rising living standards are increasing apparel consumption. Consequently, consumption of resources and generation of textile waste are increasing. According to the Swedish Environmental Protection Agency, textile consumption increased by 40% between the years 2000 and 2009 in Sweden. Given that there is currently no textile recycling plant in Sweden, the aim of this article is to explore the potential environmental benefits of various textile recycling techniques and thereby direct textile waste management strategies toward more sustainable options. Three different recycling techniques for a model waste consisting of 50% cotton and 50% polyester were identified and a life cycle assessment (LCA) was made to assess the environmental performance of them. The recycling processes are: material reuse of textile waste of adequate quality; separation of cellulose from polyester using N‐methylmorpholine‐N‐oxide as a solvent; and chemical recycling of polyester. These are compared to incineration, representing conventional textile waste treatment in Sweden. The results show that incineration has the highest global warming potential and primary energy usage. The material reuse process exhibits the best performance of the studied systems, with savings of 8 tonnes of carbon dioxide equivalents (CO₂‐eq) and 164 gigajoules (GJ) of primary energy per tonne of textile waste. Sensitivity analyses showed that results are particularly sensitive to the considered yields of the processes and to the choice of replaced products. An integration of these recycling technologies for optimal usage of their different features for treatment of 1 tonne of textile waste shows that 10 tonnes CO₂‐eq and 169 GJ of primary energy could be saved.