Implementation Analysis

The Implementation Gap

In 1973, Jeffrey Pressman and Aaron Wildavsky published a book with one of the longest titles in political science: 'Implementation: How Great Expectations in Washington Are Dashed in Oakland.' The book documented how a federal economic development program with strong political support, adequate funding, and sensible design nonetheless failed to achieve its goals. The culprit was not bad policy — it was bad implementation.

This insight launched an entire field of study. Implementation analysis examines what happens after a policy is enacted — the messy, unglamorous process of turning legislative intent into administrative reality. It turns out that most policy failures are not failures of design but failures of execution. Understanding why helps analysts design policies that are not just theoretically sound but practically implementable.

Two Perspectives on Implementation

Implementation scholars have debated two perspectives for decades:

Top-down analysis starts with the policy as written and asks: did the implementing agencies faithfully execute the legislature's intent? This perspective, associated with Paul Sabatier and Daniel Mazmanian, focuses on clear objectives, adequate resources, supportive institutions, and hierarchical control. When implementation fails, top-down analysts look for breakdowns in the chain of command.

Bottom-up analysis starts with the people who actually deliver the policy — teachers, police officers, social workers, health inspectors — and asks: how do street-level bureaucrats adapt policy to local conditions? Michael Lipsky's landmark concept of 'street-level bureaucrats' showed that front-line workers inevitably exercise discretion: they ration services, simplify procedures, and develop coping mechanisms that reshape the policy as experienced by citizens.

Both perspectives are essential. Top-down analysis identifies structural problems — insufficient funding, unclear mandates, institutional resistance. Bottom-up analysis reveals the human reality of implementation — overwhelmed caseworkers, impossible caseloads, and the gap between what policy requires and what conditions allow.

Key Variables in Implementation Success

Research has identified several factors that consistently predict implementation outcomes:

Clarity of objectives. Policies with vague or contradictory goals are almost impossible to implement well because different agencies interpret the mandate differently. The US No Child Left Behind Act suffered from this — 'adequate yearly progress' meant different things in different states.

Number of decision points. Pressman and Wildavsky demonstrated that even if each step in an implementation chain has a high probability of success, the cumulative probability drops dramatically as steps multiply. A policy requiring approval at 10 decision points, each with 90% chance of success, has only a 35% chance of making it through all ten.

Capacity of implementing agencies. A policy is only as good as the institutions tasked with carrying it out. If a health ministry lacks trained personnel, technology, or organizational culture to implement a new vaccination program, the program will fail regardless of its design.

Stakeholder buy-in. Policies that are imposed without the support of implementing organizations and affected communities face passive resistance. Building coalitions before enactment — not after — dramatically improves implementation odds.