Arbeitspapier

What's the damage? Environmental regulation with policy-motivated bureaucrats

Many environmental-policy problems are characterized by complexity and uncertainty. Government's choice concerning these policies commonly relies on information provided by a bureaucracy. Environmental bureaucrats often have a political motivation of their own, so they might be tempted to misreport environmental effects in order to influence policy. This transforms a problem of uncertainty into one of asymmetric information. We analyze the ensuing principal-agent relationship and derive the government's optimal contract, which conditions policy and rewards on reported environmental effects. We find that agents who are more environmentalist than the government are rewarded for admitting that the environmental impact is low (and vice versa). With higher uncertainty, the bureaucrat has a stronger influence on policy. For some values of the environmental impact, the bureau is permitted to set its own preferred policy (optimal delegation).

Language
Englisch

Bibliographic citation
Series: CAWM Discussion Paper ; No. 67

Classification
Wirtschaft
Bureaucracy; Administrative Processes in Public Organizations; Corruption
Asymmetric and Private Information; Mechanism Design
Optimization Techniques; Programming Models; Dynamic Analysis
Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
Environmental Economics: Government Policy
Subject
Environmental Policy
Political Economy
Delegation
Bureaucracy
Regulatory Agency
Mechanism Design
Type-dependent Participation Constraint
Pure State Constraints in Optimal Control

Event
Geistige Schöpfung
(who)
Voß, Achim
Lingens, Jörg
Event
Veröffentlichung
(who)
Westfälische Wilhelms-Universität Münster, Centrum für Angewandte Wirtschaftsforschung (CAWM)
(where)
Münster
(when)
2014

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Voß, Achim
  • Lingens, Jörg
  • Westfälische Wilhelms-Universität Münster, Centrum für Angewandte Wirtschaftsforschung (CAWM)

Time of origin

  • 2014

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