Preventative Capital Study (Cache County)

Creators

Arthur J. Caplan, Utah State UniversityFollow
Ramjee Acharya, Utah State UniversityFollow

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.

OCLC

1078404266

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv, .txt, .pdf

Publication Date

6-8-2018

Funder

Utah Agricultural Experiment Station

Publisher

Utah State University

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

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

Recommended Citation

Caplan, A. J., & Acharya, R. (2018). Preventative Capital Study (Cache County). Utah State University. https://doi.org/10.15142/T3J06K

Checksum

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