r&d

The authors develop a model describing the dynamic behavior of individual heterogeneous firms that explains why research and development effort is strongly related to productivity and patenting yet essentially unrelated to firm size or growth.

Tthe effectiveness of a public innovation policy aimed at stimulating private R&D investment is explored. The research question is whether public funding increases the total spending on research or merely displaces funding from other
sources.

The paper investigates the positive and normative effects of private information on research and development (R&D) activities. Results indicate that if the social planner is sufficiently impatient, a failure of information aggregation makes aggregate equilibrium expenditure in R&D on average too low with respect to the social optimum.

An attempt to contribute to the empirical analysis of the causal relationship between investment and performance, the study examines the interaction between a number of financial indicators represented by investments in research and development and tangible capital and a number of performance variables. Empirical results are
based on a large panel data set of Swedish manufacturing firms over the period 1992-2000.

Using the ENTICE model, the author analyzes the effectiveness of government subsidies to climate-friendly research and development (R&D) projects. While R&D subsidies do lead to significant increases in climate-friendly R&D, this R&D has little impact on the climate itself.

The authors present a method based on index number theory for estimating technical progress
and then apply it for estimating technical progress for Japanese manufacturing firms in the 1990s. Estimated technical progress is then used to test the above Griliches hypothesis.

The authors examine the impact of research and development (R&D) intensity and agency costs on the value of firms across 13 economies. Findings indicate that R&D adds value while high agency costs reduce value. R&D adds value, however, even when agency costs are high.

The report from the Government Accountability Office addresses eleven questions regarding the Department of Energys Laboratory Directed Research and Development (LDRD) program. From fiscal year 1998 through fiscal year 2003, DOE’s contractor operated laboratories spent a total of $1.8 billion, or an average of $296 million per year on LDRD.

The author evaluate the contribution of research and development (R&D) investments to productivity growth. The resulting contribution of R&D to productivity growth in the U.S. is smaller than three to five tenths of one percentage point. This constitutes an upper bound for the case where innovators internalize the consequences of their R&D investments on the cost of conducting
future innovations.

The paper argues that while it is optimal to concentrate growth-enhancing activities in downturns, dynamic spillovers inherent to the research and development (R&D) process lead private agents to concentrate too much of their R&D
activity in booms, precisely when its social cost is highest.