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Salinity Investment Framework 3
School of Agricultural & Resource Economics www.sif3.org
David Pannell
UWA
Anna Ridley
DPI Vic
The questions
Which projects are worth funding?
Which policy tools to use?
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The problem
It’s important to do well
Small budget relative to the issues Big changes required - expensive Economics often adverse
It’s difficult to do well
Integrate diverse information Lots of knowledge gaps Spatially variable NRM outcomes vs community expectations
Lack of capacity School of Agricultural & Resource Economics
SIF3: What is it?
Decision frameworks
on paper, not computerised
Participatory process Multi-disciplinary team Quick scan of options short list detailed feasibility assessment
Technical, social and economic
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School of Agricultural & Resource Economics SIF3 Public: Private Benefits Framework
Public and private benefits
This framework is embedded in SIF3 Relevant to change on private land
e.g. Salinity, water quality, clearing
An advance on cost-sharing School of Agricultural & Resource Economics
“Project”
A defined set of changes in a specific location private net benefits (internal)
Economics, risk, complexity
public net benefits (external)
Neighbours, downstream water users, city dwellers interested in biodiverity
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Possible projects
Each dot is a set of land-use changes on specific pieces of land = a project.
Which tool?
• Incentives • Extension • Regulation • New technology • No action Lucerne Farm B Current 0 practice Lucerne Farm A Private net benefits School of Agricultural & Resource Economics
Simple public-private framework
Positive incentives or Technology change (or no action) technology change No action 0 Extension No action (or flexible negative incentives) No action (or extension or negative incentives) Negative incentives
Private net benefit
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SIF3 The decision-tree approach School of Agricultural & Resource Economics
SIF3 description
Relate particular situations to the PPF
Rules of thumb
Benefit:cost analysis mindset
Develop a map of ‘best-practice’ investment response by scenario x 60 School of Agricultural & Resource Economics
Waterways
Asset types
High value terrestrial assets Dispersed assets (e.g. agric land) Saltland
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Waterway Salt input Groundwater response Low High Low High Positive incentives Extension Technology development No action Negative incentives
Private net benefit
No Action Fresh runoff Low High Adoptability −− Technol. Devel.
− Incentives + Extension School of Agricultural & Resource Economics
SIF3 Piloting implementation School of Agricultural & Resource Economics
Piloting implementation
Worked with two CMAs
North Central region Victoria
South Coast WA
Elements
Communication
Apply SIF3 decision trees
Focus groups to understand capacity issues
Interviews with lifestyle landholders
Evaluation
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Results: localised assets
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Results: dispersed assets
Less use of
Extension and small temporary grants
(should mainly use where viable options exist)
More use of
Technology development
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Response
NCCMA accepted recommendations Completely rewrote salinity implementation plan Fast tracked application of the approach to their entire portfolio South Coast NRM likely to do similar Five regions now signed up School of Agricultural & Resource Economics
National impact
Senate recommendation Standing Committee/Ministerial Council Meetings with senior policy groups in each state (with DAFF support) Partnerships with NRM bodies and state agencies Good links to DAFF & DEWHA School of Agricultural & Resource Economics
SIF3 Lessons and Implications School of Agricultural & Resource Economics
Four essential elements
Asset value Threat/impact (level and urgency) Technical feasibility of reducing threat/impact (cause and effect relationships) Adoptability of the desired practices Sometimes missed Usually included Often missed Usually missed School of Agricultural & Resource Economics
Choice of mechanism
Choice of mechanism is at least as important as choice of environmental asset School of Agricultural & Resource Economics
“Needs” for better decisions
A re-focus on NRM outcomes A guiding framework (rule things out) Ease and understandability Support for NRM managers Data and analysis, not just judgment Tighter targeting A different mix of policy tools Patience School of Agricultural & Resource Economics
Challenges we faced
The difficulty of the analysis task Program constraints
Insane time lines
Requirement for “on-ground” work
Community expectations - fear of backlash Battling vested interests Huge communication costs Low technical/economics capacity available Agency schizophrenia School of Agricultural & Resource Economics
Questions from organisers
How does approach compare internationally?
Seems to be unique
How have we been supported by agencies and research organisations?
Funds, in kind, info, moral support, advocacy, …
Ignored, resisted, abused, attacked
How to measure success?
Justified expectation that it will actually lead to more cost-effective NRM outcomes
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www.sif3.org
Funding acknowledgements • ARC • CERF • Future Farm Industries CRC • DSE, DPI, DAFWA, DEC, DoW • CMO partners School of Agricultural & Resource Economics