John Talberth • February 17, 2024
In a new study published in the journal Environment, Development, and Sustainability researchers at the Center for Sustainable Economy demonstrate how a tax on the greenhouse gas (GHG) emissions from industrial logging practices and clearing of forests for subdivisions can help slow and reverse deforestation and forest degradation and catalyze the transition to climate smart alternatives like long harvest rotations, ecological thinning of dense tree plantations, and establishment of forest carbon reserves. Across the four US states included in the study - Maine, North Carolina, Oregon and Washington - the researchers found that a forest carbon tax based on the social cost of carbon along with a number of tax credits and exemptions for good practices is likely to raise between $56 and $357 million per year for a Forest Carbon Incentive Fund used to acquire forestlands for public purposes, reduce the loss of forestland to developers, and compensate small forestland owners for the costs they face in making the climate smart transition. They also found that while the tax on clearcutting is likely to reduce profits for investor-owned forestlands somewhat, it would still leave an acceptable rate of return for "patient capital" investors like family offices, socially responsible investors, non-profits and sustainability fund managers.
The study argues that the present GHG accounting system is flawed because it excludes GHG emissions from industrial logging activities and land development and that this gap has led to a corresponding policy vacuum. Despite the fact that the carbon footprint of a given year's logging activity is as significant as GHG emissions from sectors that are tracked (Figure 1), there remains no existing or proposed policy mechanism to reduce these emissions over time. Carbon taxes are one effective tool widely endorsed by economists that may do the trick. For GHG emissions from fossil fuels, policy makers at the state level have thus far opted for environmental trading schemes (i.e. cap and trade) over carbon taxes so perhaps for logging emissions a carbon tax could serve as the market-based mechanism of choice. Market based mechanisms are efficient because they are based on the concept of 'polluter pays,' which requires industries that pollute to pay for the damages and face the true costs of their activities.
The results of this study suggest that designing such a forest carbon tax and reward program is well within the capabilities of state forestry or air pollution agencies and can be implemented with existing sources of data and methods. It also finds that such a program can piggyback on timber harvest tax programs that already exist and so would not require significant new public funds for administration. Other key findings include:
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