Title: Overview of the Baseline Data
1- Overview of the Baseline Data
- For
- Ontario Mineral Industry Cluster
- December 8, 2005
- James Milway, Executive Director
- Institute for Competitiveness Prosperity
2Baseline Data for Quantitative Assessment -
background
- Institute for Policy Analysis, University of
Toronto engaged by OMICC to gather baseline data
to enable quantitative assessment of Ontario
mineral industry cluster - Data collected from
- OMA biannual survey (with extra questions added
in 2004) - Publicly available data largely, but not
exclusively from Statistics Canada - Special Input Output analysis of mineral cluster
at provincial level - Authors proved caveat that Quantitative
Assessment is preliminary and exploratory
more data collection and analysis required - Final report released in August 2005
- Institute for Competitiveness Prosperity
prepared overview of Quantitative Assessment in
November 2005 summarized in this presentation
3OMIC Schematic View
End Users
Venture capital financing
Venture/equity/ other financing
Downstream
Metal Fabrication Industries End Users (e.g.
aerospace, automotive, etc.)
Metal Smelting
Upstream
Metal Refining
Metal Trading
MetalMarketing
MetalDistribution
Mineral development, production and rehabilitation
Mineral Exploration
Non-metalsMarketing
Non-metals Processing
Non-metals Distribution
Other End Users (e.g. construction, chemical,
pharmaceutical, other manufacturing)
Exploration services and contracting
Mine-site services and contracting
Construction (buildings, surface facilities)
Equipment and service Suppliers (camps,
aircraft, trucks, line-cutting, claim-staking,
prospecting, analytical)
Business Services (e.g. marketing, sales,
accounting, stock brokerage, insurance and risk
management)
Specialized technical and other services (e.g.
transportation, metallurgy, materials science,
materials handling)
Mining Services (surface, underground)
Equipment (vehicles, mining equipment and
supplies)
Specialized technology services (geological,
geophysical geochemical surveys, diamond
drilling, remote-sensing)
Specialized services (drilling, blasting,
engineering, analytical, metallurgical,
environmental, management, accounting, HR)
Specialized Institutions (e.g. Academic
Institutions, Training Centers, Industry
Associations, Financial Institutions, Mines and
Aggregates Safety and Health Association,
Environmental non-governmental organizations,
Sudbury Development Corporation, etc)
Source Executive Projects Office, Ministry of
Northern Development and Mines
4Key Findings
- 1 billion mining output shock would create
5,719 new jobs in Ontario 57 in mining sector
and 43 in other industries would add 818
billion to GDP (balance is mostly imports from
abroad) - Toronto/Mississauga and Sudbury/North Bay are
centres of activity in supply ands services firms - Largest source of employment is minerals/metals
manufacturing - NE Ontario accounts for two thirds of mining
employment and 70 of mining labour income - Average weekly wages at 1,092 (2002) in mining
were 49 higher than all Ontario sectors related
to high value added per employee of 239 thousand
among the highest in the province - Safe work environment is a key feature of the
cluster - Quantitative Assessment indicates opportunity for
production of more value-added products in the
cluster but deeper research is required to
identify true potential
5Porters Diamond and Clusters
6Porters Diamond and Clusters Factor Conditions
(I)
- Key Findings on Factor Conditions
- Assessment indicates that natural resource
endowment is a reason for recent productivity
growth - TSX and TSX Venture Exchange are identified as
important factor conditions - Increases in power costs are identified as
important challenges for the cluster - RD spending has enhanced the mining industrys
competitive position - Report implies that transportation infrastructure
is a strength for the cluster - Full range of development agencies to support
Aboriginal entrepreneurs and broader range of
economic development needs
7Porters Diamond and Clusters Factor Conditions
(II)
- Questions for OMICC
- Is ongoing exploration and development adequate
for ensuring the replenishment of mineral
reserves to meet global demand opportunities? - What are the critical skills requirements in the
cluster and are they being adequately developed? - Are management skills sufficiently developed to
ensure the cluster is innovative and competitive? - Does the financial know-how inherent in the
cluster represent unexploited export
opportunities? - Are investments in the clusters physical
infrastructure adequate for its future
development?
8Porters Diamond and Clusters Demand Conditions
- Key Findings on Demand Conditions
- Level of sophistication of local demand is not
discussed in Quantitative Assessment - Stringent regulatory requirements may present
export of know-how to less developing mining
industries - Questions for OMICC
- Are there meaningful ways in which local
customers spur innovation and do these present
export opportunities? - What unique factors of the local geology have
relevance to the development of specialized
mining equipment for local demand and for
export?
9Porters Diamond and Clusters Related
Supporting Industries
- Key Findings on Related Supporting Industries
- Quantitative Assessment specifies balance of
trade in key parts of supply to the cluster
however, the data are not necessarily specific to
the mining cluster - Questions for OMICC
- Can we identify more precisely where the import
replacement (with major mine operators) and
export opportunities are in the mining cluster? - How can we determine whether or not local
suppliers are capable of realizing these
opportunities?
10Porters Diamond and Clusters Firm Strategy
Rivalry
- Key Findings on Firm Strategy Rivalry
- Quantitative Assessment indicates high degree of
RD which indicates local participants are
competing on basis of innovation - Report also identifies various elements of local
co-operation - Report does not discuss unique local strategies
that are driving innovation - Questions for OMICC
- How significant is local rivalry in driving
innovation? - What are the common challenges skills,
infrastructure, basic RD, tax policy, etc.
that can be solved through collaboration?
11Other questions? Thank you