Cal-Adapt logo
Banner Image (a California landscape)
Search

Advanced
Title
Authors
Publication Type
Abstract
Journal

Publication Type

Year Published

Journal Name

Browse publications gathered by the California Energy Commission that focus on climate change issues relevant to the State of California. Find both PIER research papers as well as relevant articles published in peer reviewed journals.

Publications Published in The Review of Economics and Statistics

  1. Environmental Regulation and Productivity: Evidence From Oil Refineries. Berman, Eli; Linda, T M.
    The Review of Economics and Statistics: 2001
    Notes
    We examine the effect of air quality regulation on productivity in some of the most heavily regulated manufacturing plants in the United States, the oil refineries of the Los Angeles (South Coast) Air Basin. We use direct measures of local air pollution regulation to estimate their effects on abatement investment. Refineries not subject to these regulations are used as a comparison group. We study a period of sharply increased regulation between 1979 and 1992. Initial compliance with each regulation cost $3 million per plant and a further $5 million to comply with increased stringency. We construct measures of total factor productivity using Census of Manufacturers output and materials data that report physical quantities of inputs and outputs for the entire population of refineries. Despite high costs associated with the local regulations, productivity in the Los Angeles Air Basin refineries rose sharply between 1987 and 1992, which was a period of decreased refinery productivity in other regions. We conclude that abatement cost measures may grossly overstate the economic cost of environmental regulation as abatement can increase productivity.


  2. On modeling and interpreting the economics of catastrophic climate change. Weitzman, Martin L..
    The Review of Economics and Statistics: 2009
    Notes
    With climate change as prototype example, this paper analyzes the implications of structural uncertainty for the economics of low-probability, high-impact catastrophes. Even when updated by Bayesian learning, uncertain structural parameters induce a critical “tail fattening” of posterior-predictive distributions. Such fattened tails have strong implications for situations, like climate change, where a catastrophe is theoretically possible because prior knowledge cannot place sufficiently narrow bounds on overall damages. This paper shows that the economic consequences of fat-tailed structural uncertainty (along with unsureness about high-temperature damages) can readily outweigh the effects of discounting in climate-change policy analysis.


Resources

Climate Tools

Data Access

Community

Contributors

Copyright © 2013 California Energy Commission, All Rights Reserved
State of California, Edmund G. Brown Jr., Governor
Privacy Policy | Conditions of Use | Accessibility