Environmental Crime and Punishment: Empirical Evidence from the German Penal Code
U.S. and E.U. environmental policy employ criminal sanctions to enforce compliance. Recent moves toward revising their use are based on little empirical evidence as to their effectiveness. This paper exploits a unique dataset to study the deterrent effect of criminal enforcement. The dynamic panel data analysis leads to three findings. First, criminal sanctions do provide the intended deterrent effects. Second, standing trial provides one of the most significant deterrents, rather than the probability of conviction or the magnitude of fines. Third, public preferences regarding environmental quality and political economy variables affect reported environmental crime.
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- Kiviet, Jan F., 1995.
"On bias, inconsistency, and efficiency of various estimators in dynamic panel data models,"
Journal of Econometrics,
Elsevier, vol. 68(1), pages 53-78, July.
- Tom Doan, . "LSDVC: RATS procedure to estimate a dynamic FE model with correction for bias," Statistical Software Components RTS00111, Boston College Department of Economics.
- Giovanni S.F. Bruno, 2004.
"Approximating the Bias of the LSDV Estimator for Dynamic Unbalanced Panel Data Models,"
KITeS Working Papers
159, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jul 2004.
- Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
- Benson, Bruce L & Rasmussen, David W & Sollars, David L, 1995. " Police Bureaucracies, Their Incentives, and the War on Drugs," Public Choice, Springer, vol. 83(1-2), pages 21-45, April.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- M Arellano & O Bover, 1990.
"Another Look at the Instrumental Variable Estimation of Error-Components Models,"
CEP Discussion Papers
dp0007, Centre for Economic Performance, LSE.
- Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- Karpoff, Jonathan M & Lott, John R, Jr & Wehrly, Eric W, 2005. "The Reputational Penalties for Environmental Violations: Empirical Evidence," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 653-75, October.
- H. Naci Mocan & Hope Corman, 2000. "A Time-Series Analysis of Crime, Deterrence, and Drug Abuse in New York City," American Economic Review, American Economic Association, vol. 90(3), pages 584-604, June.
- Eckert, Heather, 2004. "Inspections, warnings, and compliance: the case of petroleum storage regulation," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 232-259, March.
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