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Walmart Product Ecolabel Drive – The Good and the Impossible?

Walmat announced this week a drive to survey, and create from their supplies a comprehensive database and index of the environmental footprint of the products it carries.

Given the heft of Walmart and the ubiquity of its supply chain, I’d argue that its move may be the only way to bring such an index into being. For pushing for ecolabels they deserve a huge amount of credit.

But issues abound. The effort is essentially what is known as a lifecycle analysis (LCA), calculating for a given product or process the environmental footprint of the product and its own supply chain (its embedded or embodied energy, environmental or emissions content, as the case may be).

The problem is that with LCA the devil’s always in the details, a combination of the three things 1) data quality, 2) what conversion factors to use, and 3) what is known as the boundary conditions, ie, what is appropriate to count.

You know the joke about economists, put 3 of them in a room, ask 1 question, get 10 correct answers. Well with lifecycle analysts, those same 3 people give you 547 correct answers, not 10. Because those three items, especially number 3, tend to have lots of shades of legitimate gray.

That’s why rigorous lifecycle analysts generally shy away from using LCA techniques to compare 2 products or processes, as opposed to using them to assess trends in a single product. Because two products, both with perfectly reasonable assumptions as to what should be counted, often mean a “right” answer for one is not equivalent to a “right” answer for another. In fact, you know you have an idiot for a lifecycle analyst, if he or she tells you his or her answer is right, and product A is better than product B.

A simplistic example, let’s say you have a plant in Thailand, that ships 1 mm cotton shirts a year to several vendors, including Walmart, and uses 1 mm kwh of energy a year. Should the energy allocation be then 1 kwh/shirt? What if 20% of those shirts are extra large? Should the XLs get a higher allocation because they’re bigger? Do you make that allocation based on size, %, square footage, time to manufacture, or cost, or a combination? Even financial inventory accounting leaves room for differences. What if some shirts cost less than others to produce, should cost be included as a variable in the allocation, and if so, should average, LIFO, or FIFO be used? What if only 30% of the shirts go Walmart, and the others go to a place that doesn’t have ecolabels? How do we account for shifting allocations over time if products in one batch come up with different labels, or get shipped by different ships? What if one ship is 20% full and the other 100% full? And how do you allocate the energy footprint for product returns, shrinkage, or wastage? What periodicity do you pick? Allocate quarterly, monthly, annually? Not every answer is material, and not every answer is difficult in every case. That’s the whole point, it varies. All of these can have legitimately different answers depending on the nature of the business (and if we get comments on this article explaining the “right” answer, that will just highlight the point), and when you consider that multiple companies or plants supply components, and therefore part of the answer to each other to calculate the final footprint, the permutations of “right” blow out fast.

Part of the solution boils to down to better data and better standards, for which the Walmart effort will be a huge help. And don’t get me wrong, the LCA community and hundreds of different LCA databases and models have been wrestling with these issues for decades, and have a lot of experience setting standards, and are always hungry for more data. Unfortunately, the standards as a matter of necessity leave enough room for judgement to be applied, so that eco comparability across products may always be in the eye of the beholder. Bottom line: know the limitations of your data.

So huge massive kudos to Walmart for driving the world forward, again, but the real devil is that comparability within the bounds of the margin of error is virtually impossible to achieve. And it’s ripe for gaming.

Neal Dikeman is a partner at Jane Capital Partners, and has cofounded, run, invested in, or served as a director of multiple startups in cleantech and technology. He is Chairman of Carbonflow and Cleantech.org, and a Texas Aggie.

Green Supply Chain Management, It’s Good For the Environment, It’s Good For the Bottom Line

by Marguerite Manteau-Rao


While the majority of global executives consider carbon reduction an important aspect of purchasing and supply chain management, only a minority follow through:

That’s too bad, according to the McKinsey study. Not only are these companies not helping fight climate change as much as they could, they are also missing out on some cost lowering opportunities. The facts:
  • For consumer goods marketers, high-tech, and other manufacturers, between 40-60% of their carbon footprint is in their supply chain.
  • For retailers, the number is even higher, 80%.
  • Many of the opportunities to reduce emissions carry no net life-cycle costs, with the upfront investment more than paying for itself through lower energy or material usage.
  • Others may require tradeoffs between emissions and profitability, in areas such as logistics and product design.
  • Forward-looking companies are using such discussions as opportunities for supplier development.
  • This opens up the possibility of still lower costs and improved operational performance, in addition to helping suppliers remove carbon from their supply chains.

Wal-Mart comes to mind, as a great example of a company that understands the multiple benefits of a greener supply chain. The question of, why are not more companies following Wal-Mart‘s lead, warrants further examination. Is it lack of knowledge? Having to attend to other, more pressing issues? Inertia? What do you think?

Marguerite Manteau-Rao is a green blogger and marketing consultant on sustainability and social media issues. Her blog, La Marguerite, focuses on behavioral solutions to climate change.