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Regulatory interpretation: regulators, regulated parties, and the courts

Published online by Cambridge University Press:  11 December 2017

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Abstract

While regulators, firms, and the courts must all be able to interpret regulations to best address economic and social issues, regulatory interpretation may vary greatly across parties. After introducing a framework to explain the impact of the complexity of written regulations and the complexity of the regulatory environment on regulatory interpretation, this paper utilizes regulatory examples to explore the challenges associated with regulatory interpretation. Several recent initiatives designed to improve regulatory efficacy are examined to assess potential methods available to reduce challenges associated with regulatory interpretation. When considered with the public policy implementation literature and research on networks in public policy, several implications emerge from the consideration of regulatory interpretation and recent regulatory initiatives. Regulators should pursue strategies to minimize the number of possible interpretations in the design of regulation and seek improved regulatory mechanisms to alleviate regulatory interpretation challenges. Furthermore, theoretical models should acknowledge regulatory interpretation to better assist in the design and implementation of regulation.

Information

Type
Research Article
Copyright
Copyright © V.K. Aggarwal 2017 and published under exclusive license to Cambridge University Press 
Figure 0

Figure 1: Federal Regulatory Budgets, 2000–14 (billions of dollars)

Note: Regulatory budget data are available from Dudley and Warren (2013), who calculate budgets from the Budget of the United States Government, fiscal years 1960–2014. The authors analyze data for seventy-five regulatory agencies, but do not include all data for all regulatory agencies. All numbers are in billions of constant 2005 dollars.
Figure 1

Figure 2: U.S. District Regulatory Court Cases Commenced, 2000–11

Note: Regulatory court cases are the annual number of regulatory court cases in U.S. District Courts. Data are from Caseload Statistics from the Administrative Office of the U.S. Courts (2001–12).
Figure 2

Figure 3: Regulatory Interpretation Matrix

Note: NR represents the number of potential regulatory interpretations for a given regulatory ruling due to regulatory complexity while NE represents the number of regulatory interpretations for a given regulatory ruling due to the complexity of the environment in which the regulation is applied. Quadrants denote the overall degree of complexity for classification purposes due to the environmental complexity (denoted by LowE or HighE) and regulatory complexity (denoted by LowR or HighR). Regulations classified as (LowE, LowR) may have as few as 1 single interpretation while regulations classified as (HighE, HighR) may have as many as NExNR interpretations.
Figure 3

Table 1: Federal Plain Language Report Card Grades Across Federal Agencies