R&D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors

The paper analyzes the production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany. A dynamic factor demand model with two variable inputs (labor and energy)and two quasi-fixed inputs (capital and R&D) is derived directly from an intertemporal cost-minimization problem formulated in discrete time. Adjustment costs are explicitly specified. The model is estimated for the manufacturing sector of the three countries using annual data from 1965 to 1977. Particular attention is given to the role of R&D. For all countries the rate of return on R&D is found to be higher than that on capital. Their respective magnitudes are similar across countries.We find considerable differences in factor demand schedules; we also find that for all countries the speed of adjustment for capital is higher than that of R&D. Adjustment costs are of importance in the demand equations for capital and R&D, but play a minor role in the decomposition of total factor productivity growth.

Sunk costs, extensive R&D subsidies and permanent inducement effects

We study whether there is scope for using subsidies to smooth out barriers to R&D performance and expand the share of R&D firms in Spain. We consider a dynamic model with sunk entry costs in which firms' optimal participation strategy is defined in terms of two subsidy thresholds that characterise entry and continuation. We compute the subsidy thresholds from the estimates of a dynamic panel data type-2 tobit model for an unbalanced panel of about 2,000 Spanish manufacturing firms. The results suggest that "extensive" subsidies are a feasible and efficient tool for expanding the share of R&D firms

Complementarity between in-house R&D and technology purchasing: evidence from Chinese manufacturing firms

In order to catch up with the current technological frontier, firms, especially in developing countries, try to acquire technological advancement through internal R&D efforts, as well as through external technology-sourcing activities. This study tests whether these two sources of technology acquisition are complements or substitutes for each other in small- and medium-sized Chinese manufacturing firms. The evidence that we present shows some signs of complementarity between the two sources of knowledge in reaching a higher unconditional intensity of product innovation for firms with 100–300 employees and, in general, a significant degree of substitutability between them in achieving higher levels of labour productivity

Innovation and firm performance : econometric explorations of survey data

xxix, 327 p. : ill. ; 23 cm

Sunk costs, extensive R&D subsidies and permanent inducement effects

We study whether there is scope for using subsidies to smooth out barriers to R&D performance and expand the share of R&D firms in Spain. We consider a dynamic model with sunk entry costs in which firms’ optimal participation strategy is defined in terms of two subsidy thresholds that characterise entry and continuation. We compute the subsidy thresholds from the estimates of a dynamic panel data type-2 tobit model for an unbalanced panel of about 2,000 Spanish manufacturing firms. The results suggest that “extensive” subsidies are a feasible and efficient tool for expanding the share of R&D firms

A new approach to estimating private returns to R&D

This paper revisits the estimation of private returns to R&D. In an extension of the standard approach, we allow for endogeneity of production decisions, heterogeneity of R&D elasticities, and asymmetric treatment of intramural and extramural R&D. Our empirical analyses are based on an extended Cobb-Douglas production function that allows for firms with zero R&D capital, which is especially useful for studying firms' transition from being R&D-non-active to becoming R&D-active. Using a large panel of Norwegian firms observed in the period 2001-2018, we estimate the average private net return to be in the range 0-5 percent across a variety of model specifications if we treat intra- and extramural R&D symmetrically. If in compliance with the Frascati manual, we treat intramural R&D as investment and extramural R&D as intermediate input, the estimated net return increases to 5-10 percent

Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit

The purpose of this guideline is to provide ideas and technical advice on how to measure the effectiveness of Science, Technology and Innovation Programs (STIP). The paper addresses the specific challenges of evaluating STIP, from the assessment of the intervention logic to the choice of the most appropriate method to solve the attribution problem. Much attention is devoted to the topic of data, discussing pros and cons of different data sources, data quality issues, and strategies for data collection. The paper analyzes in detail the potential application of experimental and quasi-experimental methods to STIP. For each method, the paper highlights characteristics and assumptions, practical issues related to the implementation, and strengths and weakness specifically related to the application to STIP. Other specific issues related to the evaluation of STIP are also considered: the timing of effects, intensity of treatment, multiple treatments, impact heterogeneity, externalities, and general equilibrium effects. Concrete examples of rigorous evaluations of STIP support the discussion of the various topics throughout the guideline.Impact Evaluation, Science, Technology Innovation, Development Effectiveness