Joint Management of Emission Abatement and Technological Innovation for Stock Externalities

We investigate how emission abatement and technological innovation provide different solutions to reduce pollutant emissions. In the case of a stock externality emission abatement leads to a smooth and continuous adjustment of emissions. Conversely, technological innovation has to be interpreted as an option on a less polluted environment and can justify the use of a pollution threshold above which it is optimal to start a research and development programme for a less polluting technology. It is shown that technological innovation interferes with the traditional emission abatement approach. The optimal abatement level is logically lowered once the less polluting technology is available; nevertheless a temporary increase in emissions is optimal during the research and development period. The usual Pigouvian tax system proves to remain an efficient corrective instrument. A numerical application to the Greenhouse effect is provided.     

Cow-calf profitability and leptin genotyping

Profitability of cow-calf production is determined largely by market prices, calf weaning weights, and cow productive life. While producers individually have no effect on prices, weaning weights and productive life have genetic influences and hence can be altered by selection programs implemented by producers. We investigate the impact of a mutation in the leptin gene (exon 2; single nucleotide polymorphism [SNP] 305) on cow-calf profitability. Prior research shows that this mutation has effects on performance and traits of fed cattle and milk production in dairy cows. Using data from a teaching-research herd, we find that it is also associated with calf weaning weights and cow productive life. A bio-economic stochastic simulation demonstrates that the mutation has statistically positive impacts on profits, suggesting that producers can profitably make use of this information.     

Creative Destruction, Investment Volatility, and the Average Age of Capital

In this article, a new numerical procedure is used to compute the equilibrium of a vintage capital growth model with nonlinear utility, where the scrapping time is nonconstant. We show that equilibrium investment and output converge nonmonotonically to the balanced growth path due to replacement echoes. We find that the average age of capital is inversely related to output, which is consistent with recent micro evidence reinforcing the importance of the embodied question. We also find that an unanticipated permanent increase in the rate of embodied technological progress causes labor productivity to slowdown in the short run.     

Regional Determinants of Small Firm Loans Under the U.K. Loan Guarantee Scheme

The Loan Guarantee Scheme was initiated in 1981 in order to alleviate a perceived constraint in the ability of small firms to secure bank finance due to a lack of collateral. This paper shows that a national small firms support scheme has, at the point of delivery, had quite different coverage across regions. Briefly, the initial evidence suggests that the Northern regions of England have been the major net beneficiaries of the scheme, primarily at the expense of Northern Ireland and Scotland. Further analysis identified house prices as the single most important determinant of loan size, acting via a collateral effect. On loan numbers and value, fixed regional effects were dominant particularly in the South East and North West.     

Unequal opportunities and human capital formation

This paper develops a tractable, heterogeneous agents general equilibrium model where individuals have different endowments of the factors that complement the schooling process. The paper explores the relationship between inequality of opportunities, inequality of outcomes, and aggregate efficiency in human capital formation. Using numerical solutions we study how the endogenous variables of the model respond to two different interventions in the distribution of opportunities: a mean-preserving spread and a change in the support. The results suggest that a higher degree of inequality of opportunities is associated with lower average level of human capital, a lower fraction of individuals investing in human capital, higher inequality in the distribution of human capital, and higher wage inequality. In particular, the model does not predict a trade-off between aggregate efficiency in human capital formation (as measured by the average level of human capital in the economy) and equality of opportunity.