Shimshack, Jay P. and Ward, Michael B. (2007): Enforcement and over-compliance. Published in: Journal of Environmental Economics and Management , Vol. 1, No. 55 (January 2008): pp. 90-105.
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Abstract
Economists generally view environmental enforcement as a tool to secure compliance with regulations. This paper demonstrates that credible enforcement significantly increases statutory over-compliance with regulations as well. We find that many plants with discharges typically below legally permitted levels reduce discharges further when regulators issue fines, even on other plants. Also, non-compliant plants often respond to sanctions by reducing discharges well beyond reductions required by law. Thus, increased enforcement generates substantial discharge reductions above and beyond those expected from simply deterring violations.
Item Type: | MPRA Paper |
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Original Title: | Enforcement and over-compliance |
Language: | English |
Keywords: | Over-compliance; Fines; Compliance; Enforcement; Regulation; Pollution Policy; Environmental economics; Environmental enforcement; Water pollution; Beyond compliance |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q53 - Air Pollution ; Water Pollution ; Noise ; Hazardous Waste ; Solid Waste ; Recycling K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior > K42 - Illegal Behavior and the Enforcement of Law Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q58 - Government Policy |
Item ID: | 25993 |
Depositing User: | Michael B. Ward |
Date Deposited: | 23 Oct 2010 13:39 |
Last Modified: | 28 Sep 2019 16:19 |
References: | [1] S. Arora and T.N. Cason, Do Community Characteristics Influence Environmental Outcomes? Evidence from the Toxics Release Inventory, Southern Econ. J. 65(4), 691-716 (1999). [2] S. Arora and T.N. Cason, Why do Firms Volunteer to Exceed Environmental Regulations? Participation in EPA’s 33/50 Program? Land Econ. 72, 413-432 (1996). [3] S. Arora and T.N. Cason, An Experiment in Voluntary Environmental Regulation: Participation in EPA’s 33/50 Program, J. Environ. Econ. Manage. 28, 271-286 (1995). [4] S. Arora and S. Gangopadhyay, Toward a Theoretical Model of Voluntary Overcompliance, J. Econ. Behav. Org. 28, 289-309 (1995). [5] S. Bandyopadhyay and J. Horowitz, Do Plants Overcomply with Water Pollution Regulations? The Role of Discharge Variability, Topics in Econ. Analysis and Policy 6, Art. 4 (2006). [6] B. Beavis and I. Dobbs, Firm Behaviour under Regulatory Control of Stochastic Environmental Wastes by Probabilistic Constraints, J. Environ. Econ. Manage. 14, 112-127 (1987). [7] B. Beavis and M. Walker, Achieving Environmental Standards with Stochastic Discharges, J. Environ. Econ. Manage. 10: 103-111 (1983). [8] R. Becker, Pollution Abatement Expenditure by Manufacturing Plants: Do Community Characteristics Matter? Contributions to Econ. Analysis and Policy 3, Art. 6 (2004). [9] R. Brannlund and K. Lofgren, Emission standards and stochastic waste load, Land Econ. 72, 218–230 (1996). [10] B. Cade and B. Noon, A Gentle Introduction to Quantile Regression for Ecologists, Frontiers Ecology Environ. 1, 412-420 (2003). [11] A. Cavaliere, Overcompliance and Voluntary Agreements, Env. Res. Econ. 17, 195-202 (2000). [12] G. Cutter, Some Examples for Teaching Regression Toward the Mean from a Sampling Viewpoint, Amer. Statistician 30, 194-197 (1976). [13] D. Earnhart, Regulatory Factors Shaping Environmental Performance at Publicly-Owned Treatment Plants, J. Environ. Econ. Manage. 48, 655-681 (2004). [14] D. Earnhart, The Effects of Community Characteristics on Polluter Compliance Levels, Land Econ. 80, 208-432 (2004). [15] W. Gray and M. Deily, Compliance and Enforcement: Air Pollution Regulation in the U.S. Steel Industry, J. Environ. Econ. Manage. 31, 96-111 (1996). [16] E. Helland, The Enforcement of Pollution Control Laws: Inspections, Violations, and Self- Reporting, Rev. Econ. Statist. 80, 141-153 (1998). [17] S. Kirchhoff, Green Business and Blue Angels, Environ. Resource Econ. 15, 403-420 (2000). [18] R. Koenker and G. Bassett, Regression Quantiles, Econometrica 46, 33-50 (1978). [19] R. Koenker and G. Bassett, Robust Tests for Heteroskedasticity based on Regression Quantiles, Econometrica 50, 43-61 (1982). [20] B. LaPlante and P. Rilstone, Environmental Inspections and Emissions of the Pulp & Paper Industry in Quebec, J. Environ. Econ. Manage. 31, 19-36 (1996). [21] W. Magat and W.K. Viscusi, Effectiveness of the EPA’s Regulatory Enforcement: The Case of Industrial Effluent Standards, J. Law Econ. 33, 331-360 (1990). [22] J. McClelland and J. Horowitz, The Costs of Water Pollution Regulation in the Pulp and Paper Industry, Land Econ. 75, 220-32 (1999). [23] L. Nadeau, EPA Effectiveness at Reducing the Duration of Plant-Level Non-Compliance, J. Environ. Econ. Manage. 34, 54-78 (1997). [24] W.H. Rogers, Calculation of Quantile Regression Standard Errors, Stata Technical Bull. 13, 18-19 (1993). [25] R. Sah, Social Osmosis and Patterns of Crime, J. Polit. Econ. 99, 1272-1295 (1991). [26] S. Sain and D. Scott, On Locally Adaptive Density Estimation, J. Amer. Statist. Assoc. 91, 1525-1534 (1996). [27] K. Segerson, Uncertainty and Incentives for Nonpoint Pollution Control, J. Environ. Econ. Manage. 15, 87-98 (1988). [28] J. Shimshack and M.B. Ward, Regulator Reputation, Enforcement, and Environmental Compliance, J. Environ. Econ. Manage. 50, 519-540 (2005). [29] A.M. Springer 2000. Industrial Environmental Control: Pulp and Paper Industry (3rd Edition). TAPPI Press, Atlanta, GA. [30] S. Stafford, The Effect of Punishment on Firm Compliance with Hazardous Waste Regulations, J. Environ. Econ. Manage. 44, 290-308 (2002). [31] G. Thompson, J. Swain, M. Kay, and C.F. Foster, The Treatment of Pulp and Paper Mill Effluent: A review, Bioresource Technol. 77: 275-286 (2001). [32] USEPA, Center for Environ. Info. and Statist., Major findings from the CEIS review of EPA’s permit compliance system database, Washington, DC (1999). [33] P. Van Kerm, Adaptive Kernel Density Estimation, Stata J. 3, 108 (2003). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/25993 |