r&d

The paper explores the relationship between the price elasticity of demand and the research and development (R&D) intensity of the product. The authors introduce the concept of R&D intensity into a standard Dixit-Stiglitz/Krugman-type setting, and R&D activity is treated as a fixed cost of production. Within this framework, sectors with a higher R&D intensity show a lower price elasticity of demand.

The paper examines research and development (R&D) tax incentives in oligopolistic markets. The author sets up a simple game-theoretical model to identify the conditions under which the tax incentives serve as a tool to reach the socially desirable level of firm-financed R&D spending.

The authors empirically examine reports of positive and equivalent research and development (R&D) spillovers across groups of countries by extending both the time span and the coverage of R&D activities in the data set. Findings indicate that the elasticity of total factor productivity with respect to domestic and foreign R&D stocks is extremely heterogeneous across countries and that data cannot be pooled.

Using an original panel data set comprised of over 300 leading Japanese R&D-performing firms, the authors seek to measure changes in the connection between science and Japanese industrial technology by using data on the citations to scientific articles appearing in the U.S. patents of these firms.

The statistical report from the National Science Foundation includes 112 tables reporting federal research and development obligations for fiscal years 2001-03.

The biennial report of the National Science Board indicates that the U.S. now ranks 17th among nations surveyed in the proportion of its 18- to 24-year-olds earning natural science and engineering degrees. In 1975, the U.S. ranked third. State indicators are presented in 25 tables across six categories.

The report from the National Bureau of Economic Research develops a model to analyze patent-protected research and development (R&D) investment projects when there is competition in the development and marketing of the resulting product. Implementation of the model shows that competition in R&D not only increases production and reduces prices, but also shortens the time of developing the product and increases the probability of successful development.

The analysis found Oklahoma improved from 43rd in the U.S. in per capita income in 2000 to 40th in 2002. In the same time period, Oklahoma improved from 41st to 31st in the nation in university research and development (R&D), and from 30th to 28th in federal R&D.

The paper examines new high-tech establishments in U.S. counties, focusing on their relationship with university research and development. A conditional logit-Poisson model is used to estimate the determinates of business establishment births appearing from the mid 1990s through 2000.

The National Science Foundations survey refers to science and engineering expenditures for separately budgeted research and development (R&D). The data was collected from 609 institutions of higher education in the U.S. and outlying areas and the survey coverage was expanded to collect information on R&D about each of the Nations 36 federally funded research and development centers.