Over the past nearly two years, I have consistently brought up the same important point through formal messages to various political leaders, but it still hasn’t been resolved. Emergency support measures are necessary, but they are not a governing model. If agricultural and especially animal production policy continues to rely on episodic relief, Greece will keep “buying time” while losing execution capacity, trust, and resilience. The sector will remain exposed to shocks that are no longer exceptional. These include animal health events and type A zoonoses, cost volatility, market concentration dynamics, regulatory tightening, and climate variability.
A workable policy pathway exists, but it must be approached as a sequence of maturity. This requires an escalation from keeping the system afloat to actually operating it. In practical terms, the progression is clear: From support measures → to state capacity → to data infrastructure → to targeted sector dossiers (milk/meat).
1) Support measures are necessary but inherently finite
In the acute phase of pressure energy, feed costs, liquidity constraints, and horizontal support instruments are legitimate. They stabilise production, preserve employment, and prevent irreversible exits from the sector. However, support measures have a built-in limitation: they treat symptoms, not operating failures. When relief becomes the primary policy language, the state becomes a payer of last resort rather than a system designer. That is not sustainable fiscally, administratively, or politically.
The key issue is not whether support should exist. It is whether support is paired with an upgrade of the state’s ability to implement policy and control outcomes.
2) State capacity is the binding constraint in Greek livestock governance
In livestock policy, the “decision” is rarely the hard part. Execution, however, is. The binding constraint is state capacity, involving staffing, roles, escalation paths, and enforcement ability. It also includes cross-agency coordination, and the discipline of implementation. Without this, even well-designed measures underperform. Enforcement becomes inconsistent, and the system drifts into informal practices. These practices later become politically costly to unwind.
State capacity is not an abstract concept. It is the operational layer that enables: predictable controls, credible sanctions, timely payments, coherent crisis response, and measurable results. In environments shaped by recurring biosecurity threats and market volatility, execution capability is not optional; it is the policy.
3) Data infrastructure: no reliable data, no serious policy
The next step is unavoidable. You cannot govern livestock without reliable, auditable, and interoperable data on animal capital, movements, production, and risk. When the state cannot answer—at high confidence—how many animals exist, where they are, who holds them, how they move, and what their output trajectory is, three things happen:
First, support schemes become vulnerable (targeting errors, moral hazard, and disputes).
Second, disease control becomes structurally weak (late detection, poor movement discipline, ineffective zoning).
Third, public trust erodes (because the system cannot convincingly demonstrate fairness, compliance, and value-for-money).
Data infrastructure is therefore not a “digital transformation” slogan. It is the institutional prerequisite for justice, targeting accuracy, enforcement, and crisis management. At minimum, this implies a single, authoritative data backbone. It should have clear responsibilities, consistent identifiers, and systematic cross-checking. This way, policy can be measured and defended.
4) Targeted sector dossiers focus on two vertical policy engines: milk and meat
Once execution capacity and data foundations exist, policy can move from generic interventions to sector-specific operating dossiers. Milk and meat are not a single sector with one set of instruments. They are distinct systems with different economics, risks, geography, and market structures. Treating them with a uniform policy toolkit guarantees inefficiency.
A Milk Dossier should function as a vertical policy engine linking farm structure, milk quality, processing capacity, contracts, and seasonality management. It should also include export strategy, supported by data-driven eligibility criteria and measurable KPIs.
A Meat Dossier must address a different reality, which covers herd rebuilding dynamics, fattening economics, and slaughter capacity. It must also address traceability, movement risk, and investment logic across the chain. Here, enforcement and traceability are not “nice-to-haves”; they are the market’s license to operate.
The point is not to produce two “documents.” The point is to build two operating systems. Each should have a specific theory of change, defined instruments, measurable outputs, and a governance cadence that survives political cycles.
The strategic conclusion
Support measures keep the sector alive. State capacity makes policy executable. Data infrastructure makes policy defensible and targeted. Two vertical dossiers, milk and meat, turn policy into development rather than crisis reaction.
This is the continuity I have been communicating, at intervals, since 2023. It is not personalised, not politicised, and not framed around individuals, because the bottleneck is structural. Greece does not lack initiatives. Instead, it lacks an integrated policy operating model that links relief to execution, execution to data, and data to targeted value-chain transformation.
If we want outcomes, not announcements, the sequence above is not a theory. It is the minimum viable architecture for governing livestock in 2026 and beyond.