Policy Cycle Analysis

Description

Analytical framework based on the stages model of the policy process, originating with Harold Lasswell’s decision process framework (1956) and refined by subsequent scholars (Jones, 1970; Anderson, 1975; Howlett & Ramesh, 2003). The model breaks the policy process into sequential stages — agenda-setting, formulation, adoption, implementation, and evaluation — each with distinct dynamics, actors, and analytical questions. While real policy-making is rarely this linear, the stages model provides a powerful heuristic for understanding where a policy issue sits in its lifecycle and what analytical questions are most relevant at each stage.

When to Use

  • When contextualizing a regulatory development: understanding that a space debris regulation in the agenda-setting phase requires fundamentally different analysis than one in the implementation phase.
  • When assessing the political feasibility and timing of regulatory action.
  • When advising stakeholders on when and how to engage in the policy process.
  • When analyzing why a policy has stalled, failed, or succeeded at a particular stage.
  • When tracking multiple policy initiatives simultaneously and need to compare their maturity levels.
  • Particularly useful for emerging space governance topics where many policies are in early stages (space traffic management, space resource rights, on-orbit servicing rules).

How to Apply

  1. Identify the policy issue and situate it in the cycle. Determine which stage the policy currently occupies. Is the issue just entering public/governmental awareness (agenda-setting)? Are specific regulatory options being debated (formulation)? Has a decision been taken (adoption)? Is the regulation being applied (implementation)? Is there a review process underway (evaluation)?
  2. Analyze the agenda-setting stage (if applicable). Identify what triggered the issue’s emergence: a focusing event (e.g., a major collision), a policy entrepreneur championing the cause, systemic indicators (growing debris population), or political window of opportunity. Assess which problem definition is winning the framing competition.
  3. Analyze the formulation stage (if applicable). Map the options under consideration. Identify which actors are proposing what solutions. Assess the evidence base informing each option. Evaluate the role of expert communities, industry lobbying, and international precedents in shaping the menu of options.
  4. Analyze the adoption stage (if applicable). Examine the decision-making process: who has veto power, what coalitions are forming, what compromises are being made. For international space governance: assess consensus-building dynamics at COPUOS, voting patterns at ITU, coalition structures in Artemis Accords negotiations.
  5. Analyze the implementation stage (if applicable). Assess the implementing body’s capacity, resources, and political will. Identify implementation gaps between policy-as-adopted and policy-as-practiced. Evaluate compliance levels and enforcement effectiveness. For space: how national agencies translate international guidelines into domestic licensing conditions.
  6. Analyze the evaluation stage (if applicable). Determine if formal review mechanisms exist. Assess whether the policy is meeting its stated objectives. Identify calls for revision, reform, or termination. Check for evidence-based policy learning or purely political reassessment.
  7. Identify stage transitions and blockages. Determine what conditions are needed for the policy to advance to the next stage. What barriers exist? What triggers might accelerate progression? For space: the role of incidents, technological developments, or geopolitical shifts in unblocking stalled policy processes.

Key Dimensions

  • Agenda-setting: Problem recognition, issue salience, framing competition, policy windows, focusing events.
  • Formulation: Option generation, evidence base, expert input, stakeholder consultation, policy design.
  • Adoption: Decision rules, coalition building, bargaining, veto points, political feasibility.
  • Implementation: Agency capacity, resource allocation, compliance mechanisms, street-level bureaucracy, principal-agent dynamics.
  • Evaluation: Performance metrics, review mechanisms, policy learning, feedback loops, reform triggers.
  • Cross-cutting: Policy entrepreneurs, epistemic communities, path dependency, incrementalism vs. punctuated equilibrium.

Expected Output

  • Clear identification of which policy cycle stage the issue occupies, with supporting evidence.
  • Stage-specific analysis addressing the dynamics, actors, and key questions relevant to that stage.
  • Assessment of transition conditions: what must happen for the policy to advance to the next stage.
  • Identification of blockages or accelerators currently affecting the policy’s progression.
  • Timeline estimate (where feasible) for likely stage transitions.
  • Strategic implications: what actions are most effective given the current stage.

Limitations

  • The stages model is a simplification: real policy-making is messy, iterative, and often non-linear. Multiple stages may operate simultaneously.
  • The model implies a rational, sequential process that obscures the role of power, ideology, and path dependency.
  • Different jurisdictions may be at different stages for the same issue, complicating analysis of topics with international dimensions.
  • The model describes the process but does not inherently evaluate the quality or desirability of policy outcomes.
  • Risk of reifying stages as real rather than as analytical categories — policy actors do not consciously follow a cycle.
  • Best used as a heuristic lens, not as a rigid descriptive model. Always acknowledge real-world messiness.