Social footprint of a deposit-refund system for packaging waste in - - PowerPoint PPT Presentation

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Social footprint of a deposit-refund system for packaging waste in - - PowerPoint PPT Presentation

SETAC Europe 28 th Annual Meeting, Rome, 13-17 May 2018 Social footprint of a deposit-refund system for packaging waste in Spain Ivan Muoz 1 , Bo P. Weidema 1 , Alba Bala 2 , Pere Fullana 2 1 2.-0 LCA consultants, Denmark 2 UNESCO Chair in Life


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Social footprint of a deposit-refund system for packaging waste in Spain

Ivan Muñoz1, Bo P. Weidema1, Alba Bala2, Pere Fullana2

1 2.-0 LCA consultants, Denmark 2 UNESCO Chair in Life Cycle and Climate Change, ESCI-UPF, Spain

SETAC Europe 28th Annual Meeting, Rome, 13-17 May 2018

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Contents

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  • The social footprint
  • Introduction of a DSR in Spain
  • Case study results
  • Conclusions
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The social footprint

  • Existing social LCA methods hampered by:
  • Excessive data requirement
  • Lack of social/economic impact pathways
  • Excessive focus on site-specific data
  • The Social Footprint (SF) is the equity-weighted share of the

wellbeing and productivity gap that can be ascribed to a product

  • r service
  • A complete top-down measure of all social, biophysical and

economic externalities

  • Low data requirement for screening purposes
  • Uniform monetary valuation

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The social footprint

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Other externalities internal costs Global wellbeing Production and consumption

Productivity impact (PI) Monetarisation Equity weighting LCA

Environmental impacts

Income redistribution (IR)

SF = PI-IR

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The social footprint

IR = Equity-weighted, purchase-power corrected, life cycle costs

Utility = averageIncome subgroupIncome æ è ç ö ø ÷^d

d = elasticity of marginal utility of income

https://www.economist.com/blogs/dailychart/2010/11/daily_chart_1

Activity Value added (VA) VA, equity- weighted Apparel production, FR 1€ 0.2 € Apparel production, IN 1€ 7.4€

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The social footprint

PI = Equity-weighted, purchase-power corrected, well-being and productivity gap = Difference between current GDP and potential GDP in the absence of externalities

  • US GDP per capita as starting point
  • Correction factors to account for externalities in US:

57,600 USD2016 + 17.6% + 2.5% + 1% + 20% + 35% ≈ 115,000 USD2016

Household production Trade barriers Unemployment Avoidable health impact Underinvestment in education

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The social footprint

  • A country-specific PI is calculated
  • Distributed over the industries of each country in proportion

to value added and utility-weighted:

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Activity PIPPP PIPPP, equity-weighted Raw milk production, SE 5.9 €/h 4.9 €/h Raw milk production, IN 18.4 €/h 219 €/h

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Case study: A DRS in Spain

  • In a deposit-refund system (DRS) consumers pay a deposit

when purchasing a product; the deposit is refunded when the packaging is returned to a shop

  • The goal is not to reuse, but to recycle materials
  • Ongoing debate in several regions in Spain on the suitability of

such a system in order to increase stagnant recycling rates

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Proposed DRS affects

  • nly beverages < 3 L,

except dairy

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Case study: scope

  • Two scenarios under study:

A: current situation for packaging waste management (Green Dot System, GDS) B: Introduction of a DRS achieving 90% return rate, coexisting with GDS for the rest of packaging waste

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+

  • Functional unit is the total

amount of packaging waste managed in Spain in 2014: 2.5 million tonnes

2.5 million t collected 1.7 million t recycled 1.4 million t 1.1 million t 2.0 million t recycled A B

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Case study: Data

  • Primary data used:
  • Waste balances for both scenarios
  • Operational data on current system (collection, transports,

sorting, disposal of residues)

  • Theoretical dimensioning and costs of the DRS in Spain

(manual/automatic collection, type of commercial establishments involved, transports, sorting activities, etc.)

  • Expected rebound effects on GDS (collection and sorting

inefficiencies)

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Case study: Data

  • Background data used: Exiobase v3.3.10
  • Global, detailed Multi-regional Environmentally Extended Supply

and Use/Input Output database

  • 43 countries + 5 RoW regions
  • 164 economic sectors per country
  • Extended by 2.-0 LCA consultants with IR and PI values
  • Implemented in SimaPro:

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6 2,568 681 135

  • 1,153
  • 29

131 215 2,553

  • 1,500
  • 1,000
  • 500

500 1,000 1,500 2,000 2,500 3,000

Labelling Retailer Transports Recovery facility Recycling Disposal Other activities Consumers Net difference B-A Beneficial Detrimental

Social footprint: system B minus system A

(Million Euro2011 PPP, utility-weighted)

Case study: Results

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SF in MEUR2011 PPP, utility-weighted

Scenario IR PI SF = RI+IP A 181

  • 5,247
  • 5,066

B

  • 100
  • 2,413
  • 2,513
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6 2,568 681 135

  • 1,153
  • 29

131 215 2,553

  • 1,500
  • 1,000
  • 500

500 1,000 1,500 2,000 2,500 3,000

Labelling Retailer Transports Recovery facility Recycling Disposal Other activities Consumers Net difference B-A Beneficial Detrimental

Social footprint: system B minus system A

(Million Euro2011 PPP, utility-weighted)

Case study: Results

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50 100 150 200 250 300

Construction (ES) Auxiliary transport activities {ES} Manufacture of metal products {ES} Plastics, basic {ES} Other land transport {ES} Personnel costs, retail sector (ES) Construction {ES} Other land transport {WA} Other business activities {ES} Chemicals nec {IN} Auxiliary transport activities {WA} Manufacture of electrical machinery {ES} Chemicals nec {WF} Financial intermediation {ES} Wholesale trade and commission trade {ES} Other land transport {WF} Auxiliary transport activities {WF} Chemicals nec {WL} Pulp {ES} Paper {ES} Manufacture of textiles {IN} Manufacture of machinery {CN} Manufacture of plastic products {ES} Auxiliary transport activities {WE}

  • 400
  • 300
  • 200
  • 100

100 200 300

Plastics, basic {ES} Manufacture of glass and glass products {WA} Aluminium production {ES} Manufacture of glass and glass products {IN} Manufacture of basic iron and steel {ES} Manufacture of basic iron and steel {IN} Manufacture of glass and glass products {WF} Manufacture of glass and glass products {PT} Manufacture of basic iron and steel {CN} Manufacture of basic iron and steel {RU} Manufacture of glass and glass products {FR} Manufacture of glass and glass products {ID} Manufacture of glass and glass products {WM} Aluminium production {WM} Aluminium production {WF} Re-processing of steel {ES}

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Conclusions

  • In spite of higher recycling rates, the introduction of a DRS for

beverage containers in Spain involves a higher social footprint than the current GDS

  • Similar conclusions were drawn by parallel environmental and

economic assessments

  • The social footprint concept combined with Exiobase provides a

powerful quantitative Life cycle-based sustainability screening

  • Comprehensive assessments can be produced with much lower

efforts than seen so far

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  • More info on social footprint: https://lca-net.com/clubs/social-lca/

Weidema B P (2018) The social footprint—a practical approach to comprehensive and consistent social LCA. Int J Life Cycle Assess, 23(3):700-709

  • More info on the DRS sustainability assessment:

https://www.esci.upf.edu/en/unesco-chair-in-life-cycle-and-climate- change/ariadna-study

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Thank you!