Eshref Trushin

A firm-level dataset for analyzing entry, exit, employment and R&D expenditures in the UK: 1997–2012

This data article is related to the research article entitled “Inverted-U relationship between R&D intensity and survival: Evidence on scale and complementarity effects in UK data” (Ugur et al., In press) [1]. It describes the trends in R&D expenditures, employment of R&D personnel and firm entry and exit rates in the UK from 1998 to 2012. We also provide statistics on net employment creation and net R&D investments due to firm entry and exits. In addition, we compute the correlation coefficients between entry and exit rates at the two digit industry level so as to examine whether the correlations are contemporaneous or inter-temporal. Finally, we provide information about the underlying dataset to which secure access is available through UK Data Service Archive 7716 at http://dx.doi.org/10.5255/UKDA-SN-7716-1.

Inverted-U Relationship between Innovation and Survival: Evidence from Firm-Level UK Data

Theoretical and empirical work on innovation and firm survival has produced varied and often conflicting findings. In this paper, we draw on Schumpeterian models of competition and innovation and stochastic models of firm dynamics to demonstrate that the conflicting findings may be due to linear specifications of the innovation-survival relationship. We demonstrate that a quadratic specification is appropriate theoretically and fits the data well. Our findings from an unbalanced panel of 39,705 UK firms from 1997-2012 indicate that an inverted-U relationship holds for different types of R&D expenditures and sources of funding. We also report that R&D intensity is more likely to increase survival when firms are in more concentrated industries and in Pavitt technology classes consisting of specialized suppliers of technology and scale-intensive industries. Finally, we report that the effects of firm and industry characteristics as well as macroeconomic environment indicators are all consistent with prior findings. The results are robust to step-wise modeling, controlling for left truncation and use of lagged values to address potential simultaneity bias.

R&D Investment, Productivity and Rates of Return: A Meta-Analysis of the Evidence on OECD Firms and Industries

The volume of work on productivity effects of research and development (RD (ii) model specifications; (iii) estimation methods; (iv) levels of analysis; (v) countries covered; and (vi) publication type among others.