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Title: Frames


1
A Comparison of US and Canadian Industry
Environmental Performance Using EIO-LCA Models
by Andrew Bjorn Interdisciplinary PhD Program in
Urban Planning University of Washington Heather
L. MacLean Department of Civil Engineering Univers
ity of Toronto 27 September 2003
2
An Overview
  • Basic concepts of the EIO-LCA model
  • EIO-LCA in the US and Canada
  • Creating the Canadian EIO-LCA model
  • Comparisons between models
  • Concluding remarks

3
What are Input-Output (IO) Models?
  • Introduced by Wasily Leontief in 1941
  • used to identify bottlenecks in wartime
    production
  • Based on lists of transactions between industries
    (System of National Accounts)
  • Assesses total economic impacts associated with
    an increase in final demand

4
The Environment and IO Models
  • Some researchers have correlated environmental
    impacts with commodity outputs
  • Water use
  • Solid waste production
  • Ecological footprints
  • Energy use
  • Carnegie Mellon Green Design Initiative
    Environmental Input-Output Model

5
The EIO-LCA as an Equation
  • This model can be expressed in matrix form
  • ?E E (I - BD)-1 ?Y
  • where ?E change in environmental
    factors
  • E environmental coefficients
  • B direct requirements matrix
  • D market share matrix
  • (I - BD)-1 total requirements matrix
  • ?Y column vector of demand change

6
Assessment of EIO-LCA Approach
  • Advantages
  • economy-wide analysis solves scoping problem
  • quick results possible with analysis
  • provides an understanding of interrelationships
  • Disadvantages
  • not geographically sensitive
  • use, disposal phases of life-cycle not included
  • commodity sectors are very aggregated

7
Economic Components
  • Based on data from Statistics Canada
  • M-level input-output tables
  • 62 industries, 103 commodities
  • commodity-by-industry make and use tables
  • monetary values given in 1992 dollars
  • Data suppression is a significant issue
  • some statistics unavailable - privacy concerns
  • data estimated from 1992-1997 data

8
Environmental Components
  • Greenhouse gas emissions
  • data from Environment Canada inventory
  • CO2, methane, nitrous oxide
  • Nonrenewable resource use
  • data from NRCan, Environment Canada
  • fuel use, aluminum, iron ore, copper, nickel
  • National Pollutant Release Inventory (NPRI)
  • 1998 data - 130 waste compounds
  • air emissions, total waste emissions

9
Comparing the US and Canada
  • Preliminary test of Canadian EIO-LCA model
  • Some important differences to note
  • Greater proportion of Canada is in cold climate
  • More hydroelectric capacity in Canada
  • Exporter of natural resources
  • Differences in regulations, reporting strategies
    (i.e. TRI versus NPRI)
  • Differences in commodity reporting

10
Comparing the US and Canada
  • Test scenario to compare models
  • final demand US1 million (1997 dollars)
  • C1.36 million (1992 dollars, 1998 model)
  • Ten sectors examined

11
Comparison - Economic impact
Economic multiplier
Sector
12
Comparison - Energy
Energy Required (TJ / million)
Sector
13
Comparison - Electricity
Electricity Required (GW-h / million)
Sector
14
Comparison - GHG emissions
GHG emissions increase ( Mt CO2 eq / million)
Sector
15
Concluding Remarks
  • Notable differences in model results
  • differences in classifications, economic
    structure
  • (note inefficiencies in certain sectors)
  • errors in data analysis
  • actual differences in impacts between countries
  • May be significant regional differences
  • Manitoba, Quebec more hydro
  • Alberta, Saskatchewan more fossil-fuel
  • Further research to confirm conclusions

16
Concluding Remarks
  • Final goal creating a bi-regional EIO-LCA model
  • Importance of bilateral trade 35 of US exports
    to Canada, 90 of Canadian exports to US
  • Increasing integration of economic sectors
  • Automotive
  • Hydroelectricity
  • Forestry
  • Oil and gas
  • Necessary to provide an international scope

17
Acknowledgements
  • Laura Declercq-Lopez and Sabrina Spatari
  • University of Toronto
  • Prof. William Beyers
  • Department of Geography, University of Washington
  • Prof. Marina Alberti
  • Department of Urban Planning, University of
    Washington
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