Record Display for the EPA National Library Catalog

RECORD NUMBER: 17 OF 48

OLS Field Name OLS Field Data
Main Title Development of a Baseline for Use in Assessing Impacts of the Toxic Substances Control Act (TSCA) on the Chemicals Industry.
Author Ginberg, P. ; Morgan, P. J. ; Schaumburg, G. W. ;
CORP Author Meta Systems, Inc., Cambridge, MA.;Environmental Protection Agency, Washington, DC. Office of Pesticides and Toxic Substances.
Year Published 1982
Report Number EPA-68-01-6134; EPA/560/4-85/001;
Stock Number PB85-207447
Additional Subjects Chemical industry ; Law(Jurisprudence) ; Economic analysis ; Stockpile management ; Regulations ; Assessments ; Comparison ; Forecasting ; National government ; Industrial wastes ; Drug industry ; Agricultural products ; Toxic substances control act ; Baseline measurements
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB85-207447 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/21/1988
Collation 174p
Abstract
A three equation model of innovation in the chemical industry has been developed. The model includes the following three relationships: (1) a technical knowledge production function with technical knowledge as a function of research and development input, (2) a production function with output as a function of conventional inputs (capital, labor, and materials) and a 'stock' of knowledge, and (3) a derived demand equation for innovation inputs. The model was tested using data on 48 publicly owned firms covering a 20 year period 1960-1980. Financial data were taken from the firms' 10-K annual reports, and patent data, used as measures of innovation, were obtained from the U.S. Patent Office. The resulting regression estimates (1) supported the hypothesis that all firms have the same elasticity of patenting with respect to their R & D stock, (2) yielded estimates of elasticity of output relative to R & D stock about twice as large as an earlier study, and (3) supported a model of R & D intensity as a function of expected growth rate. The report suggests additional refinements and testing of the model and methods for utilizing it in assessing the impact of the Toxic Substances Control Act.