# data[].attributes.body
Pricing system needs to reflect differences in income between farms - (ability to pay)

# data[].attributes.body
We are often very diffuse in the policy environment for practical reductions that can achieve a lot over 10-15 years. Consider what's emerging around regenerative and circular economy principles for agriculture - more work needs to be done to identify practical mechanisms that have clear potential but can't go into the models we have.

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Price paid should be proportional to emissions.

# data[].attributes.headline
Effectiveness - How do you balance implementation of a pricing scheme.  Farmers may choose to simply pay the check rather than reduce GHGs (costs and benefits)

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Effectiveness - How do you balance implementation of a pricing scheme.  Farmers may choose to simply pay the check rather than reduce GHGs (costs and benefits)

# data[].attributes.body
Science system. Thinking through details of actions needed to reduce emissions. Need to plan for a 10-15 year pathway.

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We are looking at a major restructuring of the science system - Connectivity across institutions and sectors is crucial, often fragmented.

How mitigation is actually going to work - regen ag provides mechanisms

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Recognising farmers who have already taken action
Setting the right baseline

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Need t ensure wide sector coverage

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Widest possible sector coverage - leakage, work to farmer values and farmers taking initiative. Regen ag talks of 3-4 year transition, supporting that transition financially.

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2. Balance between financial incentive and doing right thing

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2. Balance between financial incentive and doing right thing

# data[].attributes.body
Play to farmer values and innovative operators.

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1. Price shocks - principles on how to handle

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1. Price shocks - principles on how to handle

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Timing important on point and regularity of reporting and monitoring

# data[].attributes.headline
1. Differentiated impacts by farm business structure 

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1. Differentiated impacts by farm business structure 

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Can take a really long time for regulatory arrangements to get up and running - big barrier

# data[].attributes.body
Regulatory framework - allow on-farm mitigation approaches, reg systems can take a long time

# data[].attributes.body
Single tool or multiple aligned tools
Mechanism and timing of reporting/monitoring
Picking the best compliance point

# data[].attributes.body
Availability of skills - multi-angle approach, skills for farmers and consultants, support farmer ownership of their data

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1. Ability to pay - dairy vs sheep&beef & cropping

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1. Ability to pay - dairy vs sheep&beef & cropping

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Mechanism for setting price needs to be practical - (there are different methods for setting price e.g. split gas etc)

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1. Māori have different state of development & little access to debt

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1. Māori have different state of development & little access to debt

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They would see as limiting their choices.
Disadvantaged by any pricing mechanism.
Access to debt -

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Farming has been effective at delaying, there's going to be outcry, protect international competitiveness but at the same time we need to take action.

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Needs to account for responsibility for reducing different GHGs for different farm types

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e.g. is 1% reduction enough?

# data[].attributes.body
Commercial farms - needs to cover major farms
Needs to include decision-makers
Needs to be clear on point of obligation (e.g. individual farmers vs collectives)

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Elanor Ostrom, CPRA, collective action can work better with community input into common pool resource use. What works in practice, equity for Maori, hapu, iwi level, should work in theory.

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3. Info database access - Facilitate knowledge transfer

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3. Info database access - Facilitate knowledge transfer

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Data to support good decision making
Should be public knowledge

# data[].attributes.body
How to link the equity and practical criteria - workability for different farm types is key.

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Be clearer on what is meant by these criteria

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Be clearer on what is meant by these criteria

# data[].attributes.body
e.g. sector coverage - what will the Commission actually use to assess whether 'sector coverage' is appropriate?

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Regarding equity for Maori landowners - many farms/ownership structures, how to consider equity and practicality for these organisations. Practicality might look different for different farm types

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3. Skills available - variable across the country & not comprehensive knowledge

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3. Skills available - variable across the country & not comprehensive knowledge

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- Not enough knowledge who could give advice on sequestration + farming
a. Knowledge on particular property
b. Knowledge on policy
c. Understanding how ag business system is working

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3. On farm sequestration - avoid duplication

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3. On farm sequestration - avoid duplication

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- Reconcile LUCAS, Lidar,
- Align w/environmental reporting, SNAs, bring all together
- Credible: Decent ground validation

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3. Point of obligation with different practices

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3. Point of obligation with different practices

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- Obligations falling eg. mix cropping, grazier farms, finishing etc.
- eg. Head counts on/off trucks, weight

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Fairness of international competition - if UK offer subsidies NZ farmers may be disadvantaged.

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- Sync w/current practices

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Pressure on sheep and beef farmers in terms of intergenerational equity, afforestation under ETS carbon farming. Cap on total amount of land transferred? Options for landowners to capture these credits and retain ownership?

Maori land, mechanisms and investment vs freehold land, considerations in land use change.

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Reduces overall sector's gross emissions

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- Auditable things eg. kill sheets
- Govt staff need to understand farming system - build up skills - ongoing process

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3. Practical in the eyes of the farmer - data collecting & align w/purpose

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3. Practical in the eyes of the farmer - data collecting & align w/purpose

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- what's is going to b required? eg. stock records, irrigation scheme, etc
- do i have scales if am asked to weight livestock?
- fit in w/current farm practices & purpose?

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LENS 3: how do we assess proposed mechanisms' PRACTICALITY? 

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LENS 3: how do we assess proposed mechanisms' PRACTICALITY? 

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LENS 2: how do we assess proposed mechanisms' EFFECTIVENESS?

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LENS 2: how do we assess proposed mechanisms' EFFECTIVENESS?

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LENS 1: how do we assess proposed mechanisms' EQUITY?

# data[].attributes.subject
LENS 1: how do we assess proposed mechanisms' EQUITY?