Pollution control policy and social welfare: a theoretical and empirical analysis
| dc.contributor.author | White, Douglas Sloan, author | |
| dc.contributor.author | Loomis, John B., advisor | |
| dc.contributor.author | Davies, Stephen P., committee member | |
| dc.contributor.author | Fan, Chuen mei, committee member | |
| dc.contributor.author | Hoag, Dana L., committee member | |
| dc.date.accessioned | 2026-04-06T18:25:20Z | |
| dc.date.issued | 1999 | |
| dc.description.abstract | The impact of pollution control policy upon social welfare is a central theme to the discipline of environmental economics. Theoretical analyses focus on minimizing social welfare losses when selecting a policy instrument. The efficiency of a price or quantity policy depends on the nature of the marginal benefit and marginal cost curves. Their relative slopes are key to the selection of the more efficient instrument. In addition, uncertainty of the curve estimates can affect policy instrument choice. Since policymakers and even polluters rarely have accurate estimates of the abatement benefits and costs, the nature of the marginal curves is not well known. Such complications and how to account for them can affect the choice of the more efficient policy instrument. Typically theoretical analysis assumes an additive and symmetric distribution about the marginal curves. While these assumptions provide ease of use, they can lead to the use of the improper instrument. In the first two chapters of this dissertation, the influence of these error assumptions is examined. Chapter 1 compares a simple additive error structure with a more complex and realistic multiplicative error. When the marginal benefit and marginal cost curved are relatively flat, the difference between selection criteria can be substantially different. The ability of the price instrument to efficiently minimize welfare losses is compromised with the multiplicative error assumption. Chapter 2 focuses upon the role of informational bias upon policy instrument choice. With biased estimates, the assumption of a symmetric distribution about the marginal curves becomes invalid. Chapter 3 is an empirical analysis of air pollution in forty metropolitan areas of the United States. The criteria pollutant ozone is used as the dependent variable. Two hypotheses are tested: that 1) automobile use and 2) economic sector composition affect ambient ozone levels. Econometric results strongly support the first hypothesis and weakly support the second. | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier.uri | https://hdl.handle.net/10217/244046 | |
| dc.identifier.uri | https://doi.org/10.25675/3.026712 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 1980-1999 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.rights.license | Per the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users. | |
| dc.title | Pollution control policy and social welfare: a theoretical and empirical analysis | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Agricultural and Resource Economics | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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