An information-theoretical analysis of budget-constrained nonpoint source pollution control

Journal of Environmental Economics and Management

Volumn 46, Issue 1, 2003, Pages 106-130

  Kaplan, Jonathan D ^a   Howitt, Richard E ^b   Farzin, Y Hossein ^b  

^a ECONOMIC RESEARCH SERVICE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMICS; FINANCE; KNOWLEDGE ACQUISITION; SEDIMENTS; STATISTICAL METHODS;

NONPOINT SOURCE (NPS) POLLUTION CONTROL;

WATER POLLUTION CONTROL;

INFORMATION; LEARNING; NONPOINT SOURCE POLLUTION; POLLUTION CONTROL; THEORETICAL STUDY;

CALIFORNIA; REDWOOD CREEK; UNITED STATES;

SEQUOIA; SEQUOIA SEMPERVIRENS;

EID: 0038679594     PISSN: 00950696     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0095-0696(02)00035-9     Document Type: Article

References (45)

1. G.S. Amacher, A.S. Malik, Bargaining in environmental regulation and the ideal regulator, J. Environ. Econom. Manage. 30 (1996) 233-253.
2. J. Barrett, K. Segerson, Prevention and treatment in environmental policy design, J. Environ. Econom. Manage. 33 (1997) 196-213.
3. W.J. Baumol, W.E. Oates, The Theory of Environmental Policy, 2nd Edition, Cambridge University Press, Cambridge and New York, 1988.
4. B. Beavis, M. Walker, Achieving environmental standards with stochastic discharges, J. Environ. Econom. Manage. 10 (1983) 103-111.
5. R. Cabe, J.A. Herriges, The regulation of non-point source pollution under imperfect and asymmetric information, J. Environ. Econom. Manage. 22 (1992) 134-146.
6. L. Fahrmeir, Posterior mode estimation by extended Kalman filtering for multivariate dynamic generalized linear models, J. Amer. Statist. Assoc. 87 (1992) 501-509.
7. Y.H. Farzin, J.D. Kaplan, Nonpoint source pollution control under incomplete and costly information, Fondazione Eni Enrico Mattei (FEEM) Working Papers, No. 32.99, May 1999.
8. Y.H. Farzin, Optimal pricing of environmental and natural resource use with stock externalities, J. Public Econom. 62 (1996) 31-57.
9. L. Fernandez, Estimation of wastewater treatment objectives through maximum entropy, J. Environ. Econom. Manage. 32 (1997) 293-308.
10. D. Garvie, A. Keeler, Incomplete enforcement with endogenous regulatory choice, J. Public Econom. 55 (1994) 141-162.
11. A. Golan, G. Judge, D. Miller, Maximum Entropy Econometrics: Robust Estimation with Limited Data, John Wiley and Sons, New York, 1996.
12. A. Golan, G. Judge, L. Karp, A maximum entropy approach to estimation and inference in dynamic models or counting fish in the sea using maximum entropy, J. Econom. Dynam. Control 20 (1996) 559-582.
13. W.B. Gray, M.E. Deily, Compliance and enforcement: air pollution Regulation in the US steel industry, J. Environ. Econom. Manage. 31 (1996) 96-111.
14. R.C. Griffin, D.W. Bromley, Agricultural runoff as a nonpoint externality: a theoretical development, Amer. J. Agric. Econom. 64 (1982) 547-552.
15. S.F. Gull, J. Skilling, Maximum entropy method in image processing, IEEE Proceedings 131 (6) (1984) 646-659.
16. S.F. Gull, G.J. Daniell, Image reconstruction from incomplete and noisy data, Nature 272 (20) (1978) 686-690.
17. J.D. Harford, Measurement error and state-dependent pollution control enforcement, J. Environ. Econom. Manage. 23 (1991) 67-81.
18. J.D. Harford, W. Harrington, A reconsideration of enforcement leverage when penalties are restricted, J. Public Econom. 45 (1991) 391-395.
19. G.E. Helfand, B.W. House, Regulating nonpoint source pollution under heterogeneous conditions, Amer. J. Agric. Econom. 77 (1995) 1024-1032.
20. E. Helland, The enforcement of pollution control laws: inspections, violations, and self-reporting, Rev. Econom. Statist. 80 (1998) 141-153.
21. R.D. Horan, J.S. Shortle, D.G. Abler, Ambient taxes when polluters have multiple choices, J. Environ. Econom. Manage. 36 (1998) 186-199.
22. E.T. Jaynes, Information theory and statistical mechanics, Phys. Rev. 106 (1957) 620-630.
23. R.C. Johansson, Watershed nutrient trading under asymmetric information, Agric. Resource Econom. Rev. 31 (2002) 221-223.
24. J.D. Kaplan, R.E. Howitt, Estimating nonpoint source pollution: an application of a sequential entropy filter, Water Resources Res. 38 (2002) 10.1029/2000WR000088.
25. S. Kullback, Information Theory and Statistics, John Wiley and Sons, New York, 1959.
26. B. LaPointe, P. Rilstone, Environmental inspections and emissions of pulp and paper industry in Quebec, J. Environ. Econom. Manage. 31 (1996) 19-36.
27. D.M. Larson, G.E. Helfand, B.W. House, Second-best tax policies to reduce nonpoint source pollution, Amer. J. Agric. Econom. 78 (1996) 1108-1117.
28. W.A. Magat, W.K. Viscusi, Effectiveness of the EPA's regulatory enforcement: the case of industrial effluent standards, J. Law Econom. 33 (1990) 331-360.
29. J.F. Mount, California Rivers and Streams: The Conflict Between Fluvial Process and Land Use, University of California Press, Berkeley, 1995.
30. P.V. Preckel, Least squares and entropy: a penalty function perspective, Amer. J. Agric. Econom. 83 (2001) 366-377.
31. G.C. Rausser, R.E. Howitt, Stochastic control of environmental externalities, Ann. Econom. Soc. Meas. 4 (1975) 271-292.
32. E. Romstad, O. Bergland, Inducing individual firm compliance to emission quotas when abatement costs are private knowledge, Department of Economics and Social Sciences, The Agricultural University of Norway, 1993.
33. C.S. Russell, W. Harrington, W.J. Vaughan, Enforcing Pollution Control Laws, Resources for the Future, Washington, DC, 1986.
34. K. Segerson, Uncertainty and incentives for nonpoint source pollution control, J. Environ. Econom. Manage. 15 (1988) 87-98.
35. A. Seierstad, K. Sydsaeter, Optimal Control Theory and Economic Applications, North-Holland, New York, 1987.
36. C.E. Shannon, A mathematical theory of communications, Bell System Tech. J. 27 (1948) 379-423.
37. J.S. Shortle, J.W. Dunn, The relative efficiency of agricultural source water pollution control policies, Amer. J. Agric. Econom. 68 (1986) 668-677.
38. V.P. Singh, P.F. Krstanovic, A stochastic model for sediment yield using the principle of maximum entropy, Water Resource Res. 23 (5) (1987) 781-793.
39. J. Skilling (Ed.), Maximum Entropy and Bayesian Methods, Kluwer, Cambridge, 1989.
40. R.B.W. Smith, T.D. Tomasi, Transaction costs and agricultural nonpoint-source water pollution control policies, J. Agric. Resource Econom. 20 (1995) 277-290.
41. T.A. Spreiter, J.F. Franke, D.L. Steensen, Disturbed lands restoration: the Redwood experience, Paper Presentation at the Eight Biennial Conference on Research and Resource Management in Parks and Public Lands, George Wright Society, Hancock, MI, April 17-21, 1995.
42. United States Department of the Interior (DOI), Watershed Rehabilitation Plan: Redwood National Park, United States National Park Service, US Government Press, Washington DC, 1981.
43. United States Environmental Protection Agency (EPA), Chapter 3: Management Measures for Forestry-Introduction, http://www.epa.gov/OWOW/NPS/MMGI/Chapter3/ch3-1.html, 1999.
44. United States General Accounting Office (GAO), Water Quality: Federal Role in Addressing-and-Contributing to-Nonpoint Source Pollution, GAO/RCED-99-45, US Government Press, Washington DC, 1999.
45. A.P. Xepapedeas, Observability and choice of instrument mix in the control of externalities, J. Public Econom. 56 (1995) 485-498.