Title

Preventative Capital Study (Cache County)

Description

We address the issue of optimal investment in “preventative capital” to mitigate episodic, mobile-source air pollution events. We calibrate Berry et al.'s (2015) endogenous-risk model using a unique dataset related to "red air day" episodes occurring in Northern Utah over the past decade. Our analysis demonstrates that, under a wide range of circumstances, the optimal steady-state level of preventative capital stock – raised through the issuance of a municipal “clean air bond” that funds more aggressive mitigation efforts – can meet the standard for PM2.5 concentrations with positive social net benefits. We estimate benefit-cost ratios ranging between 0.9:1 and 2.2:1, depending upon trip-count elasticity with respect to preventative capital stock. These ratios are lower than the range estimated for the 1990 Clean Air Act Amendments in general.

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv

Publication Date

6-8-2018

Publisher

Utah State University

Funding Agency

Utah Agricultural Experiment Station

Award Number

Utah Agricultural Experiment Station 1334

Methodology

Data is secondary, compiled in Microsoft Excel Worksheet format. The data sources are the US Environmental Protection Agency, the Utah Division of Air Quality, the Utah Department of Transportation, and the Weather Underground.

Start Date

1-1-2002

End Date

12-31-2013

Language

eng

Code Lists

Definition of acronyms, codes, and abbreviations: Variable abbreviations are as indicated in the working paper, which is available for download.

Comments

Data for survival and Monte Carlo analyses (File 1) and data for probit analysis (File 2).

Disciplines

Environmental Studies

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.15142/T3J06K

Files

README.txt (2 kB)
MD5: cb8121bd81eb640244b80d4cafe77ac3

CachePreventativeCapitalPaper_v12.pdf (1358 kB)
MD5: 18c3321426a4c1406c12119512aa60d6

Preventative_Capital_Study_CacheCounty.csv (283 kB)
MD5: 763a9bc5447179ce7291e55786e64f7f

Probit_Model_CacheCounty.csv (278 kB)
MD5: 712531d22d2c671967a8ad504a958c26

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