When developing an action plan for reducing consumption-based emissions, it is important to set targets, and evaluate progress against those targets over time.
Many cities have experience in setting carbon reduction targets[1] for either their own operations, or in-boundary emissions. The same approaches can be used to set targets for reducing consumption emissions. Consumption-based targets differ, however, because they include emissions that occur both inside and outside the city boundaries. This means that cities may get credit (or criticism) for shifts in emissions in the production chain that occur outside the city. For this reason, consumption-based targets should be viewed as a supplement to—rather than replacement for—traditional territorial emissions reduction targets.
Target setting approaches
Broadly speaking, there are three types of approaches cities can take to setting consumption-based emissions reduction targets.
Regardless of the approach taken, cities should stick to the same principles[2] recommended for territorial emissions targets: include a baseline and a timeframe for achievement, and ideally set both long-term and interim targets.
Set targets based on expectations of what can feasibly be achieved: Cities can set targets by estimating how much they can reduce emissions using existing or available policies, technology, and behavior shifts. This involves constructing long-term scenarios[3], to estimate how much emissions may drop over time, and setting targets accordingly. Because consumption emissions occur both inside and outside city boundaries, these assessments need to take into account local, national, and global trajectories.
The benefit of using a scenario-based approach is that it provides a good framework for planning and tracking emissions reductions. However, this doesn’t necessarily mean that targets generated from this approach will be sufficient. A scenario analysis[4] conducted in the City of Seattle estimated that an aggressive set of measures would only reduce emissions to 15 tCO2e per capita—far from what is necessary to limit dangerous warming.
Set aspirational targets: Another approach is to set highly ambitious targets, without reference to what is presently viewed as feasible. The aim in setting aspirational targets is to inspire transformational change. This is a simpler approach to target setting than the scenario-based approach, however, the risk is that targets may be dismissed as unattainable if the gap between aspiration and reality is too large.
One model of aspirational consumption emission target setting is the City of Stockholm’s “One Tonne Life” experiment.The City—in partnership with researchers and businesses—set out to try to reduce one household’s emission to under a tonne of CO2e per year (while this wasn’t a city-wide target, this number could easily be scaled up to encompass all households). Though the goal wasn’t quite achieved, this experiment lead to the development of new technologies, and highlighted where policy supports might be needed for household emissions reduction. It also provided a useful estimate for future target setting of how much households in the city could potentially reduce emissions (in this case, 1.5–2.8 tCO2e, depending on comfort levels required).
Set targets based on a city's "fair share" of global emissions: Targets can also be set by estimating the contribution a city should make to reducing global emissions. One approach—known as a “science-based target”—is to set targets against the global carbon budget that researchers have estimated can be utilized while still keeping temperature rise below 1.5 or 2°C. This approach involves calculating the city’s share of the remaining global carbon budget (based on population size, and potentially other factors such as responsibility for historical emissions), and then estimating the emissions reductions trajectory needed to stay within this budget and setting targets accordingly.
The benefit of this “science-based” approach is that it focuses on what is needed to avert dangerous climate change. A key challenge, however, is a city's "fair share" of global mitigation can depend on numerous factors, including equity considerations (e.g. richer cities in developed countries may need to be more ambitious than the global average to contribute equitably to global efforts). Furthermore, "science-based" targets defined at a city level can sometimes ignore the bigger picture, e.g. what a city's best strategy would be in a world where governments at all levels are working together.
In general terms, the implication from a science-based approach is clear: for most industrialized cities, a rapid decarbonisation of the economy is needed to avert the most dangerous effects of climate change.[5] The City of Eugene, Oregon, for example, adopted a target consistent with a 1.5°C goal that equates to an annual average emission reduction of 7.6%.[6]
Evaluating progress
To monitor progress against targets, cities may also need to create supplementary evaluation measures of consumption behavior.
While CBEIs provide helpful estimates of consumption emissions, they are not always the most appropriate tool for monitoring progress over time. In most cases, CBEIs rely on best-available data and estimates, which may include some national statistics, or data which is several years old. Furthermore, as previously noted, CBEIs often lump different types of consumption together into categories (e.g. different types of food consumption). This means CBEIs lack the fine-grained detail needed to identify how local government policy responses affect consumption behavior. For this reason, cities may wish to establish some additional evaluation measures—or key performance indicators—to track progress on shifting consumption patterns over time.
Another option is to improve the resolution of a CBEI by adopting a “hybrid” approach to estimating emissions, combining a comprehensive input-output model for most categories of consumption with lifecycle analyses to provide precision insight into specific categories—see the SEI guide on estimating consumption based emissions that accompanies this online Guidebook. Local data and LCA analyses can be used to inform policies specific to certain goods and services, and may also allow better monitoring and assessment of the performance of policies over time (especially since expenditure data and input-output modeling results may be infrequently updated).
Examples of targets and evaluation strategies
Gothenburg has set a goal to reduce the GHG footprint of residents by 75% by 2050. To achieve this goal, the city has set interim targets to track progress. For example, the city aims to reduce the volume of household waste per person in by at least 30 percent by 2030, compared to 2010 levels.
Paris is aiming for an 80% reduction in the carbon footprint of the city compared to 2004. The city has set a wide range of interim goals across sectors to achieve this overall reduction, such as having 100% “zero landfilled-waste construction sites” by 2050 to encourage resource reclamation, and reducing meat in its institutional catering by 50% by 2030.
Portland is aiming to reduce carbon emissions 80 percent by 2050. While this goal doesn’t apply explicitly to consumption emissions, the city’s Climate Action Plan includes dedicated objectives address consumption, including a commitment to create a Sustainable Consumption and Production Plan focused on shifting consumption patterns, and reducing lifecycle emissions in the goods and services produced and consumed in the city.
Vancouver is addressing consumption emissions through a broader goal of reducing its ecological footprint down to “One Planet Living”. The city tracks progress against this goal using economic data from the Canadian census, which is produced every five years. To measure progress on a more frequent basis, the city is collecting data on citizen engagement in programs to support sustainable lifestyle shifts. It has also begun surveying residents about their food consumption habits.
Iowa City is also aiming for a broader ecological footprint goal of moving towards “One Planet Living”. To help achieve this goal, the city created a climate action toolkit to help businesses and residents reduce their consumption emissions.
- Tracking targets and setting goals in Global Protocol for Community-Scale Greenhouse Gas Emission Inventories
- Tracking targets and setting goals in Global Protocol for Community-Scale Greenhouse Gas Emission Inventories
- Erickson, P., Chandler, C. and Lazarus, M. (2012). Reducing Greenhouse Gas Emissions Associated with Consumption: A Methodology for Scenario Analysis. Working Paper 2012-05. Stockholm Environment Institute (U.S.), Seattle, WA.
- Erickson, P., Chandler, C. and Lazarus, M. (2012). Reducing Greenhouse Gas Emissions Associated with Consumption: A Methodology for Scenario Analysis. Working Paper 2012–05. Stockholm Environment Institute (U.S.), Seattle, WA.
- IPCC (2018). Global Warming of 1.5°C: An IPCC Special Report on the Impacts of Global Warming of 1.5°C above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty: Summary for Policymakers. Intergovernmental Panel on Climate Change.
- Rice, A. L.; McRae, M., 2016. Development of a 350ppm community carbon budget in Eugene, Oregon. American Geophysical Union, Fall Meeting 2016, abstract #PA43A-2178