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LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

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PARALLEL SESSION 5A: FOOD LABELLING 8 th Int. Conference on <strong>LCA</strong> <strong>in</strong> the<br />

Agri-<strong>Food</strong> Sector, 1-4 Oct <strong>2012</strong><br />

<strong>LCA</strong>-based hotspot analysis of food products to <strong>in</strong>form a major<br />

Chilean r<strong>et</strong>ailer’s susta<strong>in</strong>ability strategy<br />

Jonas Bengtsson, 1 Cristián Emhart, 2 Alejandro Florenzano, 2* Laura Guccione, 1 Carol<strong>in</strong>a Jaramillo 2<br />

1 Edge Environment Pty Ltd, 501/39 East Esplanade, Manly NSW 2095, Australia<br />

2 Fundación Chile, Av. Parque Antonio Rabat Sur N°6165, Vitacura, Santiago, Chile<br />

* Correspond<strong>in</strong>g author. E-mail: aflorenzano@fundacionchile.cl<br />

ABSTRACT<br />

This paper reports on a project with a major Chilean r<strong>et</strong>ailer to: engage their merchants and suppliers to focus efforts on sciencebased<br />

hotspots; provide a start<strong>in</strong>g po<strong>in</strong>t for <strong>in</strong>dustry engagement to beg<strong>in</strong> implementation of management practices based on life<br />

cycle <strong>in</strong>formation; and develop a nationally relevant product category specific measurement and report<strong>in</strong>g system. Product category<br />

life cycle assessments (PC<strong>LCA</strong>s) have been carried forward for n<strong>in</strong>e food products – milk, chicken meat, blueberries, apples, grapes,<br />

avocados, w<strong>in</strong>e, beer and pasta – us<strong>in</strong>g a commonly def<strong>in</strong>ed m<strong>et</strong>hodology. This <strong>in</strong>cludes normalisation and weight<strong>in</strong>g factors specific<br />

to Chile, result<strong>in</strong>g <strong>in</strong> a weighted environmental impact score called the Daily Eco-Impact Indicator.<br />

Keywords: life cycle assessment, PC<strong>LCA</strong>, food, Chile, r<strong>et</strong>ail, hotspot.<br />

1. Background, aim and scope<br />

<strong>Food</strong> production poses a major global susta<strong>in</strong>ability challenge for the 21 st century. R<strong>et</strong>ailers hold a key<br />

position <strong>in</strong> the food supply cha<strong>in</strong> to promote and enable sourc<strong>in</strong>g and sale of more susta<strong>in</strong>able food products.<br />

This should be done by identify<strong>in</strong>g and work<strong>in</strong>g towards reduc<strong>in</strong>g environmental impacts overall, not merely<br />

transferr<strong>in</strong>g impacts across media or stages of the product life cycle, but consider<strong>in</strong>g the whole product life<br />

cycle <strong>in</strong> improvement efforts.<br />

This paper present<strong>in</strong>g the results of product category life cycle assessments (PC<strong>LCA</strong>s) produced by Edge<br />

Environment and Fundación Chile for a major Chilean r<strong>et</strong>ailer aim<strong>in</strong>g to:<br />

• Engage their merchants and suppliers to focus efforts on science-based hotspots.<br />

• Provide a start<strong>in</strong>g po<strong>in</strong>t for <strong>in</strong>dustry engagement to beg<strong>in</strong> implementation of management practices<br />

based on life cycle <strong>in</strong>formation.<br />

• Develop a product category specific measurement and report<strong>in</strong>g system.<br />

To this end, PC<strong>LCA</strong>s have been carried forward to identify overall environmental hotspots of impacts and<br />

improvement opportunities for n<strong>in</strong>e food products: milk, chicken meat, blueberries, apples, grapes, avocados,<br />

w<strong>in</strong>e, beer and pasta. The physical scope of the studies is cradle-to-grave <strong>in</strong>clud<strong>in</strong>g raw material, production,<br />

distribution and storage, r<strong>et</strong>ail, consumer transport, consumption and disposal. The models have been built<br />

based on national and <strong>in</strong>ternational studies, typical agricultural practices, and modelled us<strong>in</strong>g background<br />

<strong>in</strong>formation derived from <strong>in</strong>ternational databases, adapted to Chilean conditions (e.g. electricity mix,<br />

recycl<strong>in</strong>g rates, transport distances).<br />

Go<strong>in</strong>g forward, the studies and results reported <strong>in</strong> this paper are <strong>in</strong>tended to be submitted for public<br />

comment, and the <strong>in</strong>ternationally sourced life cycle data to be improved with Chilean specific production<br />

data.<br />

2. M<strong>et</strong>hods<br />

The studies were conducted to allow for the transparent and consistent product comparison by use of a<br />

common <strong>LCA</strong> m<strong>et</strong>hodology (ISO 14040 and 14044 compliant) aligned with the ongo<strong>in</strong>g developments of<br />

The Susta<strong>in</strong>ability Consortium (TSC) and the level play<strong>in</strong>g field <strong>LCA</strong> m<strong>et</strong>hodology developed through the<br />

Australian Build<strong>in</strong>g Product Life Cycle Inventory project (BPIC, 2010) and AusLCI (2009). The modell<strong>in</strong>g<br />

was performed with the SimaPro software package version 7.3.<br />

2.1. Life cycle <strong>in</strong>ventory data and functional unit<br />

The cradle-to-grave models have been built based on published studies, typical agricultural practices and<br />

background <strong>in</strong>formation derived from <strong>in</strong>ternational databases, adapted to Chilean conditions (e.g. electricity<br />

mix, recycl<strong>in</strong>g rates, transport distances).<br />

The functional units used for this paper are based on a typical serv<strong>in</strong>g size (USDA) <strong>in</strong> order to allow the<br />

results to be presented on a similar scale. The functional units, ma<strong>in</strong> scenarios and key data sources are<br />

presented <strong>in</strong> Table 1. The ma<strong>in</strong> source of background life cycle <strong>in</strong>ventory (LCI) data used with<strong>in</strong> this study is<br />

a modified version of the Eco<strong>in</strong>vent database version 2.2. The modification <strong>in</strong>volves:<br />

437

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