Impacts of Alternative Emissions Allowance Allocation Methods under a Federal Cap-and-Trade Program

This paper examines the implications of alternative allowance allocation designs under a federal cap-and-trade program to reduce emissions of greenhouse gases. We focus on the impacts on industry profits and overall economic output, employing a dynamic general equilibrium model of the U.S. economy. The model's unique treatment of capital dynamics permits close attention to profit impacts. We find that the effects on profits depend critically on the method of allowance allocation. Freely allocating fewer than 15 percent of the emissions allowances generally suffices to prevent profit losses among the eight industries that, without free allowances or other compensation, would suffer the largest percentage losses of profit. Freely allocating 100 percent of the allowances substantially overcompensates these industries, in many cases causing more than a doubling of profits. These results indicate that profit preservation is consistent with substantial use of auctioning and the generation of considerable auction revenue. GDP costs of cap and trade depend critically on how such revenues are used. When these revenues are employed to finance cuts in marginal income tax rates, the resulting GDP costs are about 33 percent lower than when all allowances are freely allocated and no auction revenue is generated. On the other hand, when auction proceeds are returned to the economy in lump-sum fashion (for example, as rebate checks to households), the potential cost-advantages of auctioning are not realized. Our results are robust to cap-and-trade policies that differ according to policy stringency, the availability of offsets, and the extent of opportunities for intertemporal trading of allowances.

Low-cost electrochemical detection of arsenic in the groundwater of Guanajuato state, central Mexico using an open-source potentiostat

Arsenic is a carcinogenic groundwater contaminant that is toxic even at the parts-per-billion (ppb) level and its on-site determination remains challenging. Colorimetric test strips, though cheap and widely used, often fail to give reliable quantitative data. On the other hand, electrochemical detection is sensitive and accurate but considerably more expensive at the onset. Here, we present a study on arsenic detection in groundwater using a low-cost, open-source potentiostat based on Arduino technology. We tested different types of gold electrodes (screen-printed and microwire) with anodic stripping voltammetry (ASV), achieving low detection limits (0.7 μg L-1). In a study of arsenic contaminated groundwaters in Mexico, the microwire technique provides greater accuracy than test strips (reducing the median error from -50% to +2.9%) and greater precision (reducing uncertainties from ±25% to ±4.9%). Most importantly, the rate of false negatives versus the World Health Organisation’s 10 μg L-1 limit was reduced from 50% to 0% (N = 13 samples). Arsenic determination using open-source potentiostats may offer a low-cost option for research groups and NGOs wishing to perform arsenic analysis in-house, yielding superior quantitative data than the more widely used colorimetric test strips

Social indicators for Delaware's aged : a study of status and needs /

Includes bibliographical references.Mode of access: Internet