This paper studies the firm‐level relationship among productivity, decision to export, and environmental performance. The emerging theoretical and empirical literature suggests that trade has an important role in determining firms' heterogeneity: increased openness to trade induces a reallocation effect that increases within‐industry efficiency, thereby linking firms' decisions to export and adopt newer (and cleaner) technology. We argue that this framework provides the following empirically‐relevant predictions: there is an inverse relationship between firm productivity and pollution emissions per unit output; exporting firms have lower emissions per unit output; and larger firms have a lower emission intensity. To examine these implications empirically, we have assembled a uniquely detailed dataset of the U.S. manufacturing industry for the years 2002, 2005, and 2008 by matching facility‐level air emission data from the U.S. Environmental Protection Agency with the facility's economic characteristics contained in the National Establishment Time Series database. The strategy is to first estimate a facility‐level total factor productivity parameter as a plant‐specific fixed effect. We then investigate how this estimated productivity parameter correlates with emission intensity on a pollutant‐by‐pollutant basis. Our empirical findings support the hypotheses suggested by the conceptual model. For each criteria air pollutant considered, we find a significant negative correlation between estimated facility productivity and emission intensity. Conditional on a facility's estimated productivity and other controls, exporting facilities have significantly lower emissions per value of sales than non‐exporting facilities in the same industry. We also find that plant size is negatively and significantly related to emission intensity for all pollutants.

An open-economy equilibrium model is derived to investigate the effects of energy policy on the U.S. economy, with emphasis on corn-based ethanol. A second best policy of a fuel tax and ethanol subsidy is found to approximate fairly closely the welfare gains associated with the first best policy of an optimal carbon tax and tariffs on traded goods. The largest economic gains to the U.S. economy from these energy policies arise from their impact on U.S. terms of trade, particularly in the oil market. Conditional on the current fuel tax, an optimal ethanol mandate is superior to an optimal ethanol subsidy.

China has launched seven regional pilots of emission trading scheme (ETS) to limit its carbon emissions. Taking advantage of the variations in the regional ETS pilots across regions and sectors and over time, we employ a difference-in-difference-indifferences (DDD) approach to evaluate the effect of ETS on low-carbon innovation at the firm level. Using patent application data of publicly-listed firms in China between 2003 and 2015, we find that the ETS pilots induced innovation in low-carbon technologies. The more active pilots—measured by carbon price and turnover rate of allowance trading—are associated with more intense low-carbon innovation.

No abstract

No abstract