On cost curves, coordination, and the structural conditions for transformation
A collaborator recently told me about a conversation with a group of farmers and agronomists discussing emissions-reducing practices. The refrain was immediate and consistent:
“If this were profitable, we would have done it already.”
It’s a fair statement.
Farmers operate on tight margins. They optimize constantly. They experiment. They adapt. They know their cost structures better than anyone advising them from the outside. And at face value, that logic aligns with how environmentalists talk about marginal abatement cost curves.
If reducing a ton of CO₂ costs less than it generates in return, it should already be happening.
If it’s too expensive, it won’t pencil out without additional environmental markets.
That reasoning is not naïve. It’s rational. But it rests on an assumption that often doesn’t hold:
That the decision is independent. That the value accrues directly to the actor making the change. That no one else needs to move first. That the broader system rewards the outcome being proposed.
Environmental transformation rarely works that way.
What Cost Curves Do Well, and Where They Stop
Marginal abatement cost curves are useful tools. They help companies and countries prioritize where to put their decarbonization efforts. They show where low-cost reductions exist. They bring analytical order to a complex landscape. But by design, they focus on a single delta:
Dollars per unit of environmental improvement.
They assume cost and return are contained within one decision-maker’s balance sheet. That works for incremental efficiency improvements. It does not fully capture what happens when transformation requires:
- Changes across supply chains
- New claim and data architectures
- Capital to move before outcomes are realized
- Verification infrastructure
- Shifts in procurement frameworks
- Education and capacity building
- Risk redistribution
Some of the changes required to move toward regenerative systems are inexpensive and still haven’t happened. Others are genuinely costly, and still worth pursuing. The question isn’t simply whether the $/ton (or unit of water / biodiversity) is positive or negative.
The question is whether the system is aligned to make the transition viable.
Pricing Is a Signal. It Is Not a Structure.
Voluntary and statutory crediting mechanisms attempt to internalize environmental externalities. That matters. Attaching a price to carbon, water, or biodiversity creates a signal. But a price is not a coordination strategy. It does not tell actors how to move together.
And a credit does not automatically:
- Clarify who owns the claim
- Determine who bears downside risk
- Define when payment occurs
- Align incentives across actors
- Sequence adoption
Even where pricing exists, transformation depends on whether actors can align around it. In practice, the binding constraint is rarely technical feasibility. It is coordination feasibility.
The Real Constraint: Coordination Cost
If more than two actors must change behavior for an outcome to materialize, you are no longer dealing with a simple market decision. You are dealing with an ecosystem. Consider what must shift to move from business-as-usual to something materially more regenerative:
- Producers must change practices.
- Buyers must adapt procurement frameworks.
- Corporations must revise Scope 3 accounting.
- Financial institutions must believe returns are durable.
- Verifiers must stand behind methodologies.
- Regulators must tolerate or enable new structures.
Each actor faces different incentives, risks, and time horizons. Alignment is not just about who participates, it is about sequencing: who moves first, who follows, who absorbs early risk, and who captures value later. If one moves and others don’t, the value collapses. And not all misalignment is accidental, some structures persist because they advantage specific positions within the system. That is coordination cost. And coordination cost rarely appears on a marginal abatement cost curve. Strategy scholar Ron Adner describes ecosystems not by industry labels but by the alignment required for a value proposition to materialize. When adoption depends on multiple actors shifting position simultaneously, alignment becomes the constraint. Transformation isn’t additive (A + B + C). It’s multiplicative: A × B × C. When any variable drops to zero, the outcome disappears.
A Practical Example: Structure as the Enabler
In the Midwest, one of our clients leading a conservation initiative tied to commodity production took a different approach. The environmental practices themselves were not novel. Farmers were already experimenting with cover crops, nutrient management, and soil health strategies. What was different was the architecture. The program:
- Began with financial benchmarking to reduce uncertainty.
- Made cost realities explicit rather than assumed.
- Recognized that environmentally beneficial practices often impose tangible, short-term costs.
- Engaged each farmer with a specialist for technical assistance.
- Defined clear payment triggers.
- Clarified who attested, who verified, and when payment occurred.
- Addressed how emissions reductions could be co-claimed within supply chains without creating double counting confusion.
- Sequenced participation instead of assuming immediate alignment.
As one leader involved in the program put it:
“There are few programs that can truly point to something and say, here’s how it works and here’s how we know why it works, with clarity.”
What distinguished this initiative wasn’t the environmental practice itself. It was that economic benchmarking came first, role clarity came early, and payment logic was defined before scale was assumed. The system was designed before it was marketed.
That clarity reduced coordination cost. The environmental return mattered. The structure made it durable. Without defined roles, payment logic, and claim architecture, the same practices would have remained isolated efforts.
Why “It Should Already Be Happening” Misses the Bigger Picture
The farmer’s refrain, “we would have done it already”, assumes:
- The benefit accrues directly.
- The risk is proportionate.
- Adoption is unilateral.
- The system already rewards the desired outcome.
But in many environmental transitions:
- The value is fragmented across actors.
- The reward is delayed relative to cost.
- The risk is concentrated in early adopters.
- Payment depends on downstream alignment.
- One critical node can stall the entire system.
In those cases, private profitability inside the current structure is not the same thing as system-level viability after structural realignment. Some low-cost actions haven’t happened because no one coordinated the value flow. Some high-cost actions are essential but require capital restructuring or risk pooling. In both cases, the limiting factor isn’t environmental return. It’s structural design.
The difference often comes down to orientation. When initiatives start with the goal of selling an environmental commodity, the system tends to organize around measurement, compliance, and credit issuance. When they start with system alignment, roles, risk, sequencing, and institutional design, value becomes legible across multiple dimensions, and transformation becomes durable.
The starting point determines what becomes possible.
By layered value capture, I don’t mean carbon price alone. Environmental value rarely shows up in a single line item. It can take the form of product premiums, risk reduction, procurement certainty, regulatory positioning, access to capital, reputational recognition, or long-term supply resilience. Some layers are financial. Others are strategic, reputational, relational, or institutional. When value is layered, no single metric carries the burden of justifying change. Transformation becomes viable when these layers align, not when a single credit price clears a market.
Transformation Is Structural
Transformation is not simply reducing emissions at the lowest possible cost.
It is moving from a business-as-usual state that is environmentally or socially destructive to one that is materially more regenerative.
That shift changes:
- Capital allocation
- Institutional roles
- Risk-bearing structures
- Incentive flows
- Reporting frameworks
- Supply chain relationships
It reconfigures how value moves through the system. When roles, responsibilities, requirements, and risk allocations change, coordination cost rises. And if that cost is not addressed explicitly, the initiative stalls, regardless of how attractive the cost curve looks.
A Framework to Make Alignment Visible
If coordination cost is the constraint, leaders need a discipline for making alignment visible. Alignment cannot rescue a poorly chosen intervention. No amount of ecosystem design can make an agronomically unworkable practice viable. Transformation begins with contextual feasibility, and only then moves to structural design.
Here’s the discipline we use when designing program blueprints. They start with the focal objective:
What outcome(s) are you trying to achieve, and who ultimately values it?
Then identify required actors. Include any entity who engages with the primary actor (sells to, purchases from, transports product, advises, collects data, further processes product, sells product).
For each actor, ask:
- What do they gain?
- What do they risk?
- Who must move before they do?
- What motivates them, as it relates to the envisioned transformation?
- Who bears downside if outcomes underperform?
- What directly triggers payment?
- Where is the decision authority?
Then test structural coherence:
- Does the payment trigger align with the objective?
- Do the metrics influence capital flow?
- Is the funding architecture durable?
- Is claim ownership clear?
- Where can the system break?
Environmental return without structural alignment does not scale. Alignment is not theoretical. It is operational. This insight is not new. In the timeless book, Governing the Commons, Nobel laureate Elinor Ostrom showed that durable resource systems do not emerge from pricing signals alone. They depend on clearly defined roles, shared rules, monitoring mechanisms, and institutional trust. Collective systems endure when governance structures are designed deliberately, not when incentives are left to self-organize.
Cost Curves Can Shift, If Structure Shifts
One final nuance. Marginal cost curves are not destiny. They are snapshots within a given structure. Change the structure, and the economics change.
Cost curves shift when:
- Risk is pooled.
- Incentives are sequenced.
- Verification burden is reduced.
- Capital is blended.
- Claim architecture is clarified.
- Transaction costs are lowered.
In other words:
Cost curves shift when ecosystem design improves. The farmer may be right within the current system. The deeper question is whether the system itself is designed to reward the outcomes we say we want.
The Work
Environmental return is necessary. Pricing is powerful. But transformation is structural.
Until true cost accounting exists, and even as it evolves, ecosystem design remains essential. If you are stewarding a program, launching a platform, allocating capital, or implementing an environmental initiative, start here:
- What decision does this enable, and for whom?
- What directly triggers payment?
- Which metrics influence capital?
- Who bears downside risk?
- What must be true for value to materialize?
- Where is structural fragility hiding?
If those answers are unclear, the bottleneck isn’t the cost curve. It’s the structure.
If you want to test your initiative against these structural questions, please fill out a short orientation diagnostic designed for leaders navigating complex climate and natural capital programs.
It takes about 10–12 minutes. It’s not a critique of ambition. It’s a structural integrity check.
Before scaling impact, make sure the system can hold it.