A common argument against the implementation of stricter pollution regulations (including greenhouse emission caps) is that they would exact too high a cost on the economy. Businesses and governments would have to lay out billions of dollars on retrofits and cleanups, the argument goes, slowing economic growth. A new study from MIT (from the Joint Program on the Science and Policy of Global Change and the Laboratory for Energy and the Environment) shows why such claims have no merit -- and why environmental regulations are actually good for the economy.
It all comes down to public health.
Pollution in the air, water and soil has a measurable impact upon human health. Pollution can increase the rates at which people get sick, and prolonged exposure to pollution can shorten the productive lifespan. These effects, in turn, have a measurable impact upon economic growth. Reducing pollution by regulating environmental pollution, therefore, should lead to greater public health, which should then lead to greater economic productivity -- and it's a bit startling to see how much greater.
Previous research reached similar conclusions, but the models used were criticized for making unsupportable and overly-simplistic assumptions. The MIT research (PDF, pages 6-8) used a much more sophisticated model, but the results they came up with are still pretty astounding:
...the researchers incorporated health impacts directly into the EPPA [MIT's Emissions Prediction and Policy Analysis] model. After generating an estimate of emissions, the model uses published health data to calculate the resulting occurrences of specific diseases. Each time a disease occurs, the effects on the population—due to lost work, lost nonwork time, and/or increased medicine and hospital costs—are reflected in the appropriate sector within the model. And the model keeps track of pollutant exposures, worker status, and the impacts on various age groups over time. [...]The estimated welfare gain rises steadily from about $50 billion in 1975 to about $400 billion in 2000 (in 1997 dollars). Separate analyses of individual pollutants show that by far the largest benefits come from reductions in particulate and ozone levels.
Although the research focused primarily upon the United States, one of the researchers, student Kira Matus, also applied the same model to China, playing out the economic benefits of different environmental policies. Integrating data from atmospheric models predicting pollution levels over the next 25 years, she found that a focused policy capping particulate pollution would have about $10 billion in economic benefits by 2015, and $25 billion by 2025. Capping greenhouse gases would have a smaller (but still quite noticeable) benefit; in the EPPA model, greenhouse gases resulting in increased atmospheric warming can enhance the effects of ozone pollution, but isn't itself linked to specific health problems.
This research underscores the danger of limited cost-benefit analysis. We need to be careful, when thinking through different policy and technology options, not to stop the reasoning simply at the "it costs $N to do, and has these specific results" level. We need to remember to think through the implications of those "specific results," including the resulting social costs and benefits that they would then lead to. Not every issue will be as amenable to modeling as this one, but that doesn't mean we can't still apply some foresight and wisdom to our choices.








