| Summary: | The first essay, co-authored with Sumeet Gulati, estimates the increase in the market share of ENERGY STAR-qualified appliances attributed to utility rebates in the US. Results show that a dollar increase in the rebate leads to a 0.3% increase in the share of ENERGY STAR-qualified clothes washers while the effect is not significant for dishwashers and refrigerators. Assuming a redemption rate of 40%, the cost of a megawatt hour saved is lower than the estimated cost of building and operating an additional power plant and the average on-peak spot price. Therefore, rebate programs for ENERGY STAR clothes washers are a cost-effective way to reduce energy demand.
In the second essay I analyse the presence of pollution spillovers by looking at emission levels
and changes in emissions. I use a spatial autoregressive (SAR) model with geographic distance and industry distance weight matrices as well as an extension of the SAR model that uses the two weight matrices simultaneously to
exploit the variation in the toxicity-weighted emission levels and emission changes
in a large sample of manufacturing facilities in Canada. I find that, compared to OLS results, these spatial linkages exist and are stronger for within sector linkages than geographic linkages.
In the third essay I use firm-level characteristics to predict the lobbying
and abatement decision of firms in a model with two non-cooperating firms. There are three sources of firm heterogeneity, viz. the marginal cost of production, the emission intensity and the marginal cost factor of abatement. The decision to lobby or abate or do both depends on the cost-effectiveness of lobbying against that of abating. I find that a firm will abate and not lobby if its effective marginal abatement cost, which depends on output, is lower than a threshold value.
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