Transcript Thu PAUD 1100 Smart

The value of spatial information in
Australia and New Zealand
Presentation to FOSS4G
Alan Smart
22 October 2009
Economic impact assessment
 Australia
• Commissioned in 2006 by CRCSI and ASIBA
• 12 sectors analysed (case studies in as many areas
as possible)
• Literature reviews
• Verifiable and quantifiable results
 New Zealand
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Commissioned in April 2009 by LINZ, DOC and MED
Ten case studies
Literature reviews
Workshop in June
Slide 2
An enabling technology
 ‘Enabling’ rather than ‘nice to have’
• Capabilities and options created
– productivity benefits
– non-productivity related
benefits
 Wide footprint
 Dynamic → innovation
Slide 3
Productivity focus
 Focused on the impact of
modern spatial information
technologies on productivity in
each sector
Resource B
 Spatial information systems
expand the production
possibility frontier
Production
possibility
frontier shifts
outwards
Resource A
Slide 4
Sector size and intensity
Australia
H ig h u s e r s
108,434
129,248
Trade
Property & business
services
Government
administration and
defence
Finance & insurance
98,291
65,324
Mining
Recreational and other
services
45,241
Electricity, gas and
water
Communication services
Agriculture
Transport
20,471
25,535
28,174
41,896
51,429
Construction
L o w e st u se r s
62,405
Manufacturing
L o w u se r s
95,988
M e d iu m u s e r s
Value added
$'000
Slide 5
Technology diffusion – Rogers
Slide 6
Impact on economy
Higher
Productivity
Biosert
CV
Reduced impact
of pests and
disease incursions
CVVCVV
Higher
Agriculture
value added
Spatial
industry value
add
Other industry
sectors value add
Value
added
CVVCVV
Value
added
Economy wide
impacts on
GDP
Consumption
Investment
Employment
Exports
Imports
Value
added
Slide 7
Modelling the impacts
Computerised general equilibrium model calculates
the aggregate impacts – GDP, Consumption,
investment, employment
Slide 8
Examples in the private sector Construction
 Spatial technologies estimated to deliver
savings of 10 % for large projects from
• 50 % faster map production
• 80% faster access to information
• faster setting out and better accuracy
 adoption still in the innovation stage in 2007
• 2.5% to 5% adoption
 Productivity impacts in Australia 0.25% to 0.5%
 Adds up to big $$$
Slide 9
Road planning, design and
construction
LIDAR saves surveying costs and
Facilitates ongoing road management
Hand held devises linked to GIS
reduce pegging and other costs
Slide 10
Utilities
 More efficient asset
planning, design and
management
 Recording location of
assets and features
 More efficient
maintenance
 Productivity impacts
0.73% to 1.25%
Slide 11
Hazard management
Monitor
Identify
Notify
Action
Bureau of
Meteorology
Geoscience
Australia
Fire
Authorities
Indji Watch
Real time
hazard
monitoring
Notify
Response
Private
providers
Slide 12
Agriculture
 Example – Precision
Agriculture
 Controlled traffic farming, etc.
10-20% productivity ↑
 Adoption ≈ 10%
 = 1.25% sector-wide
productivity improvement
 Australia and New Zealand
Slide 13
Fertiliser application
management
 Fertiliser application
map
 Variable rate
applications
 Better monitoring
 30 % efficiency gains
in NZ
Slide 14
Fisheries
• GNSS Plotters – 100%
adoption
• Fisheries
management
• Vessel monitoring
• Habitat mapping
• Protected marine
areas
• 4% to 5% productivity
improvement
Slide 15
Examples from Government Biosecurity
 Cost of control and value of production
foregone around $8 billion per year
 Foot and mouth disease or Brucellosis outbreak
• $10 billion in cost(Productivity Commission 2002)
 Spatial examples
• Australian Plague Locust Commission
• Biosecurity, Surveillance, Incident Response and
Tracing in Australia
• Vector control for pest management in NZ
Slide 16
Australian Plague Locust
Commission
 Value of potential
crop losses avoided
$55.5 million in 2005
for expenditure $6.5
million (ABARE 2005)
 Spatial technologies
contributed around
20 % to these gains
Slide 17
Digital mapping for possum
control in NZ
 Reduced cost of
vector control
• from $15 per hectare
• to $7-8 per hectare
Slide 18
Australian Maritime Safety
Authority
 Search and rescue
• Spatially enabled
• System reduces time to
brief search aircraft
from 3 hours to 3
minutes
• Integrating live data
into monitoring and
reporting
• Freeing up operations
room to focus on task
at hand
Slide 19
Government productivity
impact in Australia
 Assessed in terms of improved productivity in
delivery of services through
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Asset and resources management
Reduced costs of service delivery
Improved planning and implementation
Defence and emergency preparedness
Compliance and regulation
 Impacts from 0.34% to 1.05%
Slide 20
Accumulated impact Australia
Factor
Impact
Percentage
GDP
$6.4 b - $12.6 b
0.6% -1.2%
Consumption
$3.5b - $6.7 b
0.6% -1.1%
Investment
$1.7b- $3.39b
0.6% -1.2%
Exports
$1.3b- $2.3b
Imports
$1.2b- $2.2 b
Wages
0.6% - 1.1%
Slide 21
Economic assessment
 A conservative estimate based on evidence
 Impacts on GDP did not capture environmental
and social benefits
• Likely to be very significant
 Impact could have been around 7% higher if
with better access to data
Slide 22
Key findings - New Zealand
 Productivity benefits $1.2 billion in 2008
• 0.6% of GDP
–
Incl. productivity of government services
• Non-productivity → multiple
–
Environment, social, biosecurity, health, etc.
 Barriers
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Access to data
Pricing of data
Standards
Privacy
Lack of spatial data infrastructure
Skills
Capital
 Without barriers – extra $0.5 billion
• Extra $100 million in government revenue
Slide 23
Environmental and social
benefits
 Intangible benefits not included could deliver
significantly higher benefits
• Mainly environmental and social
• Better water management and monitoring
• Managing and monitoring the impacts of climate
change – digital elevation model
• Monitoring emissions
• Managing land and property titles
• Lives saved in emergencies
• Improved national security
Slide 24
Rates of adoption
 Adoption appears to
have increased since
the economic
assessment
Adopters
100%
 New applications
 Wider penetration to
non spatial professionals
Government
 Government role
important in early
stages of adoption
Slide 25
Some issues
 Access to basic or fundamental data
 Standards
• Open Geospatial Consortium
 Privacy
 Spatial data infrastructure
• Australian government- Spatial data market place
• NZ now considering how to move to an SDI
 Innovation
• technology development - CRCSI
• Increasingly in industry and users – adaptation and
combining systems and technologies
 Skills
Slide 26
The future
 Asset management
 Operations and
maintenance
 Transport logistics
Project based
applications
Organisational
resource
Most Australian applications
Mainstream
enterprise
systems
 Natural resources and
environment
 Biosecurity
 Retail and trade
 Social users
 What can you imagine?
Slide 27
Questions
Slide 28