The Knowledge Production of 'R' and 'D'

By Dirk Czarnitzki, Kornelius Kraft, Suzanne Thorwarth. 2009

117 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/6cbf72bcebded9725c44b69156cea8e1cd262944

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. J. I. Galan
2. J. A. Zúñiga-Vicente
3. César Alonso-Borrego
4. Francisco Javier Forcadell
5. Susanne Thorwarth
6. R. Crescenzi
7. L. Gagliardi
8. Dirk Czarnitzki

In Management of Technology and Innovation

1. R. Crescenzi
2. L. Gagliardi
3. Susanne Thorwarth
4. J. I. Galan
5. Dirk Czarnitzki
6. K. Hussinger

Citations in the corpus

• The innovative performance of firms in heterogeneous environments: the interplay between external knowledge and internal absorptive capacities (2018, methodology): “The standard specification is augmented by our regressor of interest, the dummy that signals the attractiveness of each local labor market in terms of knowledgeable inflows, following existing contributions that adapt the knowledge production framework to extended input specifications (e.g. Zucker e”
• Productivity Effects of Basic Research in Low-Tech and High-Tech Industries (2012, result): “Similar to the last study, Kafourous (2005) also used firm-level data of the UK manufacturing sector and found that R&D investment only has a positive and significant effect in high-tech sectors, whereas it shows no impact in low-tech industries.”
• ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY (2014, methodology): “David et al. (2000) criticised the econometric methods of nearly all research performed until the end of the 1990s for largely ignoring endogeneity problems.”