Eco-Impact Comparison Tools

Plastic CO₂ Slider – Instantly See Your CO₂ Savings

Switching 1 kg of conventional plastic for a bio-based polymer such as PLA avoids roughly 1.1 kg CO₂-eq, and the slider turns that abstract figure into everyday terms (e.g., “driving ⟶ miles not driven”).

By pre-loading peer-reviewed cradle-to-gate emission factors and tapping the US EPA’s public equivalency logic, the widget gives visitors an instant, evidence-backed climate snapshot while staying entirely client-side—no log-ins, keys or cookies.

What the Eco-Impact Comparison Tool actually does

• Takes one input—mass of plastic replaced—via a range slider that updates in real time.
• Calculates CO₂ avoided with median cradle-to-gate factors: 2.7 kg CO₂/kg for petro-plastics vs 1.6 kg CO₂/kg for PLA.
• Converts the saving into an EPA equivalency (miles not driven, using 0.404 kg CO₂ per mile).
• Runs completely in JavaScript—borrowing the open maths from the EPA calculator but replacing the fuel-combustion constants with polymer LCAs, so no API calls or data retention are needed.

Who it’s for

• Sustainability teams

• Need fast, footnote-ready numbers for ESG dashboards and annual reports.

• Investors & journalists

• ESG-linked financing—and headlines—depend on clear, comparable climate metrics.

• Educators & students

• Turns dense life-cycle tables into a tactile demo for chemistry or climate courses.

Why it’s useful

• Bridges an information gap – Public LCAs show wide spreads (±30 %) between studies; the widget surfaces a consensus median so non-experts get a “good-enough” first look.
• Feeds content marketing – Every slider position yields a share-worthy stat (“500 kg swap ≈ 1 230 miles not driven”)—ideal for newsletters and social cards.
• Drives backlinks – Green-tech blogs prefer embeddable calculators over static infographics, boosting domain authority.
• Future-proofs ESG pages – As more factors (e.g. PBAT, PHA, recycled PET) are added, the same front end scales with one JSON update.

Under the hood

Component	Data source	Notes
Petro-plastic 2.7 kg CO₂/kg	Meta-analysis of PE, PP, PET LCAs	Represents global production mix.
PLA 1.6 kg CO₂/kg	Peer-reviewed PLA LCAs, Europe & US feedstocks	Pathways range 1.3 – 2.2 kg.
EPA equivalency (0.404 kg CO₂/mile)	EPA GHG Equivalencies Calculator 2024 update	Based on 22 mpg fleet average.
Growth backdrop	Bio-based polymer market CAGR > 14 % to 2030	ESG demand fuels adoption.

Water-Footprint Slider – Beef vs Beans

Drag the slider to see how many litres of water you save each year by replacing beef meals with beans – and what that means in household tap-water days.

Who it’s for

• Sustainability leads & ESG analysts – quick headline numbers for annual-report infographics; beef’s 15 000 L / kg vs beans’ ~4 000 L / kg is the classic contrast.
• Food-tech & ag-biotech investors – water is rising alongside carbon as a due-diligence metric; the slider turns abstract litres into relatable “household-days.”
• Educators & students – one drag shows how a seemingly small dietary tweak scales to thousands of litres per year.

Data sources & assumptions

Factor	Value	Source
Beef blue-water footprint	15 000 L / kg (average global)	Water Footprint Network guide
Dry-bean footprint	4 000 L / kg	Shop-Logic/WFN table
Serving size	150 g cooked	FAO nutrition tables (standard portion)
Household tap-water	300 L / day	MadeBlue / EU figures (~144 L per capita; 2.1 ppl/house)

Protein-Carbon Slider (Beef → Alt-Protein)

Who’s it for?

ESG analysts, alt-protein investors, students, and consumers who want a quick, evidence-backed view of how diet swaps affect the climate.

What it does

• Uses Poore & Nemecek’s harmonised cradle-to-farm-gate GHG factors – beef ≈ 27 kg CO₂ / kg vs tofu ≈ 2 kg CO₂ / kg.
• Converts a monthly meal swap into an annual CO₂ saving—then into a flight analogy (London ↔ Berlin ≈ 270 kg CO₂) for instant storytelling.
• Shows why alternative proteins can slash food-sector GHGs ≥ 80 %, echoing BCG and GFI impact studies.

Why it’s useful

• Generates social-media-ready stats (“10 swaps / month saves 270 kg CO₂”).
• All maths is client-side—no keys, no PII, no API rate limits.