| Author: | Kaplan, J. D. Howitt, R. E. Farzin, Y. H. |
| Title: | An information-theoretical analysis of budget-constrained nonpoint source pollution control |
| Journal: | Journal of Environmental Economics and Management
2003 : VOL. 46:1, p. 106-130 |
| Index terms: | POLLUTION CONTROL ANALYTICAL REVIEW ENVIRONMENTAL ECONOMICS BUDGET |
| Language: | eng |
| Abstract: | This paper analyzes budget-constrained, nonpoint source (NFS) pollution control with costly information acquisition and learning. To overcome the inherent ill- posed statistical problem in NFS pollution data the sequential entropy filter, a cross entropy econometric approach, is applied to the sediment load management program for Redwood Creek, which flows through Redwood National Park in northwestern California. The authors simulate dynamic budget-constrained management with information acquisition and learning, and compare the results with those from the current policy. The analysis shows that when information acquisition increases overall abatement effectiveness the fiscally constrained manager can reallocate resources from abatement effort to information acquisition. |
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