The Carbon Footprint of Shopping: Clothes, Electronics, and Everyday Goods

Why purchase price is not physical impact

A cheap item can be material- and energy-intensive, while an expensive repair service may use few new materials. Price includes labour, brand, rent, tax, scarcity, and profit as well as production. Spending is still useful when no product data exist because input-output models connect final demand with upstream industries, but a monetary average is a proxy—not a measurement of an individual product.

Multi-regional input-output databases follow economic flows across borders. UNEP's GLORIA database covers 164 regions and 97 sectors in a harmonised MRIO structure; Eurostat's FIGARO tables link inter-country supply, use, and input-output data and support environmental consumption footprints. Sector averages capture supply chains that a short product bill of materials may miss, but they cannot distinguish a durable laptop from a disposable one at the same price.

Item LCA and spend-based MRIO are complementary alternatives

An item lifecycle assessment can use product-specific materials, manufacturing, transport, energy in use, and end-of-life assumptions. Its result is only comparable when the functional unit and boundary match. One shirt, one kilogram of textile, and one year of clothing service are different units. Manufacturer studies also vary in data quality, allocation, electricity, and expected life.

A spend-based model multiplies expenditure in a category by an economy-wide intensity. It is efficient for the long tail of purchases and can include upstream emissions across many tiers. Inflation, currency, country, tax treatment, second-hand transactions, and broad sector classification can distort it. Use detailed LCAs for major items where credible data exist and MRIO for the remainder, subtracting detailed purchases from the spend bucket so nothing appears twice.

Count service years, not just purchase events

A phone, coat, washing machine, or desk delivers service over several years. For an annual personal view, record the full embodied result in the purchase year or amortise it over an expected useful life—but state which rule you use. Amortisation helps compare lifestyles, while purchase-year accounting tracks cash-like annual demand. Switching between rules can create a false reduction.

The most robust behavioural variable is replacement frequency. Keeping a functional product longer spreads its production impact across more service. Repair can add parts, transport, and labour but avoid a much larger replacement. The right comparison is expected remaining service after repair versus the full lifecycle of replacement, including differences in operating energy. A very inefficient appliance may justify replacement sooner; a small efficiency gain often does not.

Clothing: begin with wardrobe throughput

Textile impacts depend on fibre production, land or petrochemical feedstocks, dyeing and finishing, manufacturing energy, logistics, washing, drying, and end of life. Rather than assigning moral labels to fibres, count garments acquired, worn, repaired, and discarded. A garment used thirty times provides more service than an identical one used three times, though durability and care needs differ.

For a practical baseline, group purchases by tops, trousers, knitwear, outerwear, footwear, and accessories. Note new versus used and the reason an item left the wardrobe. Prioritise fit, versatility, repairability, and care that preserves life. Washing cooler and line-drying can reduce use-phase energy where suitable, but use-phase savings do not erase overproduction or unused clothes.

Electronics: manufacturing, electricity, and data are separate

Electronics combine high-value supply chains with metals, semiconductors, displays, batteries, manufacturing electricity, transport, and end-of-life challenges. A device's embodied share can be important, especially when use electricity is low or the grid is clean. Product environmental reports can improve an estimate when their scope, model, region, and lifetime are clear; marketing claims without inventories should not replace data.

Keep device electricity separate from network and cloud services unless the product study already includes them. Extending useful life, replacing a battery, adding memory, or choosing repairable equipment can delay manufacturing demand. Secure data deletion and verified refurbishment make reuse more practical. Recycling recovers some materials but comes after reducing unnecessary replacement and enabling reuse; it does not refund the full original footprint.

Is second-hand always better?

Second-hand usually avoids or delays demand for new production when the purchase genuinely substitutes for a new item and the product remains useful. The transaction price should not be multiplied by a new-goods spend factor as though it financed new manufacturing. Add cleaning, repair, or delivery if material. For very energy-intensive old equipment, compare remaining use emissions with a replacement's embodied and operating emissions.

Substitution is the key uncertainty. Buying used is not a reduction if it becomes an extra purchase that leaves new buying unchanged. Likewise, resale can extend product life but can also finance faster replacement. Track the number of products entering and leaving, their service years, and whether the household's total stock grows. This reveals rebound that a single ‘second-hand’ checkbox hides.

Create an annual goods ledger

List major clothing, electronics, furniture, appliances, and hobby equipment acquired during the year. Record price, new or used, expected life, replaced item, repair history, and whether the purchase substitutes or adds capacity. Apply credible item data to the largest products. Put the remaining non-overlapping spend into broad MRIO categories and document country, currency year, and inflation handling.

Run scenarios around replacement interval rather than precision theatre. What changes if the phone lasts five years instead of three, or half of suitable clothing is used? Keep carbon in tCO2e and Ecological Footprint goods allocation in gha as separate outputs. EcoSi Footprint is an independent beta estimate, not affiliated with Global Footprint Network, and should disclose when a goods result is item-based, spend-based, or a country-average allocation.

• Inventory major items before estimating the long tail.
• Choose one accounting method per purchase.
• Save boundary, geography, price year, and expected life.
• Measure product service and replacement rate, not recycling alone.
• Test whether used purchases replace new demand or add to total stock.