ABSTRACT
In chapter 1 we suggested that the formulation and implementation of intelligent environmental policies depend not only on the ability of legislative bodies and executive agencies to collect a vast quantity of data but also on their ability to evaluate the information at hand in order to transform the groundswell of public opinion into sound legislation. Our case for applied linear programming analysis as a useful tool in this regard has partly been made in the preceding chapters, where we attempted to demonstrate what kind of information can be wrung from technical data using a process analysis model. In this final chapter we will complete the line of reasoning begun in the introduction by focusing on two policy issues which have recently received considerable attention: the potentials for increasing the absorption rate of obsolete automobile scrap, and the steel industry discharge guidelines proposed by the U.S. Environmental Protection Agency (EPA) pursuant to the Federal Water Pollution Control Act and Amendments. 1
