Reducing scope 3 emissions is essential. But, scope 3 emissions are both large in size (about 65 to 95 percent of most companies' carbon impact) and indirect. As a result, estimating and tracking them, let alone reporting on them, can be complicated. However, companies don't have to do everything at once to still make meaningful progress. PwC’s climate & reporting experts Roel Drost and Gerrit Ledderhof, are sharing insights on the importance of scope 3 emissions and the four biggest challenges.
'If you want to remain a frontrunner, you have to keep moving forward'
Let’s take a look at a global consumer goods company. The organization faces a value chain with thousands of suppliers and inventory of tens of thousands of units. The company's estimates of scope 3 emissions reflect not only how each individual product is produced, but also how it is used, how long it is used, how it is cleaned and ultimately disposed of at the end of its lifespan.
This example is no exception. 'The past decade has made many companies specialize and globalize. Every product has an infinite number of parts,' Gerrit Ledderhof explains. Roel Drost points at his cotton shirt. 'For a shirt, the supply chain is maybe seven or eight levels deep. From the cotton farmer to the spinner and from the button factory to the sewing factory - the emissions from one simple shirt are already extremely complex.'
'It's about taking responsibility. Across the width and depth of the chain. If an organization says, "these are not my emissions" and pulls off its hands, then progress towards a more sustainable world is going to be progressing in very small steps. In fact, you run the risk of improving only marginally and missing necessary innovations towards a more circular economy," says Roel Drost.
Many organizations now use secondary and static data from databases to report on their supply chain emissions. This creates a good picture of where the 'hotspots' are, but does not make it possible to measure improvements because it is static data. Because of this, many organizations have now started collecting primary data from their supply chain.
This is a major task and it is usually impractical to do so for all suppliers. 'Don't let that stop you,' Ledderhof says. Because mapping primary data from all suppliers is also not strictly necessary. For this, follow the principle of 'materiality' and select the suppliers that make the largest contribution to emissions. 'In English, they often say, "Don't let perfect be the enemy of the good,"' Ledderhof recalls. 'That's my advice to clients.'
'The golden 80:20 rule offers a solution here,' Drost explains. 'Eighty percent of the emissions in an organization's supply chain come from only one-fifth of the suppliers. In practice, for example in the case of a government agency, recently only twenty suppliers were found to be responsible for 94 percent of scope 3 emissions. By focusing only on those twenty suppliers as an organization, scope 3 emissions can be halved within ten years. That offers perspective.
Many organizations have had a clear picture of their scope 1 and scope 2 emissions for many years. As more organizations begin to address and report on their scope 3 emissions, they are running into new challenges. Despite the help of the golden 80:20 rule and the use of external data sources, calculating scope 3 emissions remains complex. The four most common challenges among organizations today are:
Using static third-party sources (secondary databases, for example) to calculate scope 3 emissions is unavoidable, but dependence on these should be reduced. To actually report improvements, organizations need primary chain information, which in many cases, is not available. Therefore, a good and transparent relationship with the supplier is essential. This cooperation can not only open the door for creating shared value, but also for more transparency regarding emissions.
A spend-based approach to estimating upstream emissions (emissions related to the making of purchased goods or services) is possible with so-called input-output models. This approach can provide quick results and insight into hotspots. But, expenditure-based modeling is often based on industry average emission factors and thus does not necessarily reflect the actual emission footprint of a particular company. As a result, this approach is not always detailed enough to support better decisions or identify clear opportunities for a company to help reduce carbon emissions.
Moreover, overreliance on models can tempt managers to pay more attention to the model and assumptions than to improving scope 3 emissions. This is especially the case when executive pay is connected to model output.
Extrapolating from a small sample of suppliers is a common (and useful) approach to estimating scope 3 emissions. But, if companies lack the necessary statistical expertise, it produces unreliable data.
Even when companies have the right expertise, they often lack the organizational structure and processes to oversee the estimation, quantification and extrapolation of scope 3 data across multiple business units. Estimating, quantifying and extrapolating often involves subjective choices and judgments in a mostly unregulated process. As a result, there is a risk scope 3 reporting will include only those items that are easiest to measure rather than the most material and impactful items.
Moreover, many companies are moving toward reliable and verifiable ESG reporting. Not only from their own motivation. As of 1 January 2024 the EU Directive CSRD (Corporate Sustainability Reporting Directive) will come into force and a certain group of companies will be required to report on sustainability information and receive assurance on it. For that reason, robust and auditable Green House Gas reporting - the standard when it comes to greenhouse gas emissions - is therefore not only desirable, but mandatory.
Despite all the complexity surrounding scope 3 emissions, one thing remains simple: the end goal of measuring and tracking them is to make business decisions that mitigate the effects of climate change, also when it comes to chain emissions. To managers and CEOs, the resulting action list should be equally clear: use the data to focus all efforts (time and resources) on those areas where they will have the most impact. Establish a performance baseline, set priorities and goals with suppliers, and invoke meaningful performance incentives for them.
'Sharing data and insights with suppliers can deepen relationships and improve collaboration'
The broader ecosystem then will be one of the winners. After all, one company's scope 1 and 2 emissions are another organization's scope 3 emissions. And until all companies measure, track and report their emissions, data availability, accuracy and transparency remain one of the biggest challenges to reducing carbon emissions.
Another winner of all efforts? The organizational result. Addressing scope 3 emissions is not something an organization does alone; it requires collaboration and transparency. 'Sharing information with suppliers in the chain is key to addressing this. And it can also deepen the relationship and improve cooperation,' Ledderhof says. To many organizations, sharing information and data feels sensitive, but according to Drost, in this case that is not actually necessary. "It's about trust. Trusting the data and trusting the assurance process.’’
Finally, soon measuring and reporting scope 3 emissions may no longer be voluntary. The pressure to make it mandatory is increasing. Forward-looking organizations would be wise to develop or bring on board the capabilities and expertise for measuring and reducing scope 3 emissions as soon as possible. Both Drost and Ledderhof agree on the fact that this is badly needed, both for the future-proofing of companies in a globalized world with increasing regulations and for the livability of all of us worldwide . Drost: 'My advice to leading companies? If you want to remain a frontrunner, you have to keep moving forward'.