R&D spillovers and employment: evidence from European patent data

In this paper we investigate the role of patents in the relationship between R&D activity, spillovers and employment at the firm level. A reduced-form labour demand equation is estimated. Our analysis is based upon a dataset consisting of 879 R&D-intensive manufacturing firms worldwide for which information was collected for the period 2002–2010. We use data from all EU R&D investment scoreboard editions issued every year until 2011 by the JRC-IPTS (scoreboards). Since the innovation output of the industrial strategy of every firm is the number of patents, the main contribution to the existing literature is to investigate also the impact of patents/R&D ratio and patents/spillovers ratio on employment level. The empirical results suggest a significant impact of R&D spillover effects on company employment although the results differ substantially according to the spillover stock, which may considerably affect policy implications.     

Incorporating innovation subsidies in the CDM framework: empirical evidence from Belgium

ABSTRACT

This paper integrates innovation input and output effects of R&D subsidies into a modified Crépon–Duguet–Mairesse (CDM) model. Our results largely confirm insights of the input additionality literature, i.e. public subsidies complement private R&D investment. In addition, results point to positive output effects of both purely privately funded and subsidy-induced R&D. Furthermore, we do not find evidence of a premium or discount of subsidy-induced R&D in terms of its marginal contribution on new product sales when compared to purely privately financed R&D.     

Capacity investment and green R&D in a dynamic oligopoly under the potential shift in environmental damage

We develop a differential oligopoly game to investigate firms’ capacity investment and green R&D efforts in the presence of the potential shift in environmental damage and under the spillover effect of R&D activities among firms. We find that when both the probability of potential shift in environmental damage and the efficacy of R&D activities are high, the spillover effect will discourage the R&D effort but encourage the capacity investment. Otherwise, the spillover effect will encourage the R&D effort but discourage the capacity investment. Moreover, the potential shift in environmental damage can significantly impact the capacity and green R&D decisions as well as the Pigouvian tax, especially in the case of a large number of firms, a high profitability of the product, a high level of interest rate, and a high level of R&D spillover among firms.     

Noncooperative versus cooperative R&D with endogenous spillover rates

This paper deals with a general version of a two-stage model of R&D and product market competition. We provide a thorough generalization of previous results on the comparative performance of noncooperative and cooperative R&D, dispensing in particular with ex-post firm symmetry and linear demand assumptions. We also characterize the structure of profit-maximizing R&D cartels where firms competing in a product market jointly decide R&D expenditure, as well as internal spillover, levels. We establish the firms would essentially always prefer extremal spillovers, and within the context of a standard specification, derive conditions for the optimality of minimal spillover.     

Cooperative R&D and Commitment to A Policy of Know-how Trading

In this paper, we develop a theoretical framework to investigate the impact of adopting a strategy of know-how trading on the degree of research and development (R&D) cooperation. We show that the consequences of cooperation in know-how sharing under the conditions of the model are similar to a policy of cooperation in R&D investments in areas with large spillovers. An industry-wide policy of cooperation among competitors with respect to R&D investment and sharing would simply result in maximal joint profits. This cooperative R&D outcome could be generalized to any degree of spillover other than 100%. In this paper, the commitment to a policy of know-how trading by the participants in an industry is explained by the firm’s attempt to induce the equilibrium of a single industry-wide cooperative research joint venture. In a repeated game framework, we show that pre-commitments by non-cooperative firms to disclose their own know-how to the industry can be effective in inducing cooperative R&D investments by the participants.     

Pollution abatement with disruptive R&D investment

This paper examines a model of investment in abatement where polluting firms produce output while investing in R&D. This investment, however, increases production costs, thus disrupting first-period output. We identify three equilibrium profiles where firms choose to either: (1) invest in R&D alone (thus rationalizing a common modeling assumption in the literature); (2) produce output alone; or (3) engage in both activities. We evaluate how the emergence of each result is affected by the market structure in which firms compete and by the severity of spillover effects. We then measure welfare levels in each equilibrium profile. Overall, we show that firms endogenously choose to focus on R&D only when the market is concentrated and spillover effects are small. In other type of industries, our findings indicate that firms may focus on output production or engage in both activities under relatively large conditions.     

Multistage R&D competition and patent policy

In this paper a model of multistage R&D patent policy is investigated. We study the impact of the duration of patent protection for intermediate products on R&D races when the discovery of the final product requires the accomplishment of an intermediate step. Using a multistage model where firms choose their levels of research investment at each stage, we find all subgame-perfect equilibria of the game. We also determine how competition affects a firm's level of research investment at different stages of the R&D competition.     

Economic policy uncertainty,CEO characteristics and firm R&D expenditure: a Bayesian analysis

ABSTRACT

This paper applies a linear Bayesian regression model to study the effects of economic policy uncertainty (EPU) and Chief Executive Officer (CEO) characteristics on firm Research and Development (R&D) expenditure. We specifically analysed data from 1,163 Chinese companies listed as A-shares from 2008–2016. EPU is believed to curtail firm investments as it causes unexpected market conditions. Yet, our findings obtained with Bayesian analysis show a positive relationship between EPU and firm R&D expenditure. Specifically, we found that some CEO attributes (e.g., age, tenure and marketing/sales experience) led to a negative relationship between EPU and firm R&D expenditure, whereas other attributes (e.g., education, overseas study/work experience, product R&D experience, and process engineering experience) lead to a positive relationship. Our findings provide nuanced insights into how different CEO characteristics influence firms’ R&D expenditure in a context of uncertainty.     

In-house R&D,external R&D and cooperation breadth in Spanish manufacturing firms: is there a synergistic effect on innovation outputs?

ABSTRACT

This study explores the nature of relationship between in-house R&D, external R&D and cooperation breadth and their joint impact on patent counts as well as technological, product and process, innovations in Spanish manufacturing firms. With regards to patent counts, empirical findings from a Generalized Method of Moments (GMM) estimator suggest a complementarity effect of internal and external R&D activities conditional on the breadth of R&D cooperation. Concerning technological innovation, results from dynamic random-effects probit models indicate no synergistic effects. In addition, we find evidence of persistence of all three innovation output measures. Our results suggest policy implications in relation to strengthening firms’ absorptive capacity that could have long-run effects.     

Firm's objective function and product and process R&D

Firms undertake different kinds of R&D activities. They do product R&D (R&D aimed at improving the quality of existing products, and creating new products). They also do process R&D (R&D aimed at lowering the cost of making existing and new products). Moreover, firms often do both product and process R&D simultaneously. As far as the objective of firms is concerned, this need not be limited to profit-maximization only. Rather, firms may have a broader objective, where they care about profits as well as consumer surplus. This paper studies effects of a firm having a general objective function (that takes into consideration both profits and consumer surplus) on its product and process R&D choices, and corresponding implications.I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can simultaneously do both product and process R&D in every period, face a discrete-choice model of consumer demand with vertical product differentiation, and maximize a discounted, weighted sum of their profits and consumer surplus over the infinite time horizon.I show how process and product R&D differ from each other in my framework, and the role of a firm's objective function in this regard. I compare process and product R&D choices across firms that differ in their objective function, and illustrate effects of providing general R&D subsidies (subsidies given for any R&D, regardless of whether it is product or process R&D) to firms. I also characterize how in my framework, the choice of process R&D in total R&D — R&D composition — by an individual firm varies over time, and how process and product R&D choices, process and product R&D productivity, and the choice of R&D composition vary across firms that differ in size but are otherwise similar.     

How do housing cycles influence listed firms’ R&D investment: evidence from the collateral channel

ABSTRACT

Firm innovation is essential to long-run economic growth. Financially constrained R&D firms may use firm-owned properties as collateral to finance their R&D projects. Therefore, the housing price cycle can affect firms’ R&D investment through influencing their real estate value. By examining listed R&D firms during the housing boom period 2002–2006 in the U.S., we find that a $1 increase in real estate value leads a firm to increase its R&D investment by $0.38. We also find that this collateral effect is more pronounced among financially constrained R&D firms than that among unconstrained ones. Additionally, we examine the housing bust period 2008–2012, and find that real estate depreciation retarded R&D investment, especially among constrained R&D firms.     

中国研发投入的动态演化

R&D investment is enterprises’ strategy based on the market demand on innovative products and its production capacity for them. Enlarging market demand would spur the enterprises’ R&D input and the enhancement of technology state in production ability could have a complex effect on less developed countries’ R&D expenditure. With the measurement of China’s technology state compared to the United States and Japan, this paper explores with the state space model the dynamic effects of determinants on China’s R&D expenditure with the data during 1987–2006. The result illustrates that the growing national income, a proxy of domestic market demand, impedes the further R&D investment in China due to the enormous demand for necessities dominated by lower income class, and the income inequality is the major incentive for R&D investment via the higher pricing on the wealthy group, and that the improvement of technology state reduces the innovation risk and plays an important role in stimulating R&D expenditure.      

Demand Shift Effect of R&;D and the R&;D Organization

We assume that R&D investment by a firm improves the quality of the product. This is reflected in an upward shift of the demand function. Firms can do R&D either independently or cooperatively. We show that cooperative research strictly dominates non-cooperative research, both in terms of profitability and welfare. Also, R&D investment by each firm under cooperative research is larger for a relatively high R&D output elasticity. The higher the degree of product differentiation and/or larger the R&D output elasticity is, the larger the increase in quality level under cooperative research, compared to non-cooperative research, will be.     

Optimal Timing of Climate Change Policy: Interaction Between Carbon Taxes and Innovation Externalities

This paper addresses the impact of endogenous technology through research and development (R&D) on the timing of climate change policy. We develop a model with a stock pollutant (carbon dioxide) and abatement technological change through R&D, and we use the model to study the interaction between carbon taxes and innovation externalities. Our analysis shows that the timing of optimal emission reduction policy strongly depends on the set of policy instruments available. When climate-specific R&D targeting instruments are available, policy has to use these to step up early innovation. When these instruments are not available, policy has to steer innovation through creating demand for emission saving technologies. That is, carbon taxes should be high compared to the Pigouvian levels when the abatement industry is developing. Finally, we calibrate the model in order to explore the magnitude of the theoretical findings within the context of climate change policy.      

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

R&D and productivity: Internal vs. external R&D - evidence from west german manufacturing industries

The paper explores the productivity effects of investment in external (contract) vs. internal (in-house) R&D in a sample of West-German Manufacturing Industries. The results provide strong evidence of a positive relationship between productivity and the share of external R&D in total R&D. This result is robust to alternative econometric specifications. Thus, findings suggest that the decision between internal and external R&D does matter. Moreover, results imply a nonlinear relationship between productivity and the share of external R&D for higher-technology industries, hinting at decreasing productivity effects of an increasing share of external in total R&D.     

Technological knowledge,spillover and productivity: evidence from Taiwanese firm level panel data

Using a panel data on Taiwanese manufacturing firms from 1990–1997, this study investigates the relationship among technological knowledge, spillover and productivity. In addition to R&D stock, we also employ patent counts to construct the output-side indicators of knowledge and spillover to explore the relationship between knowledge and productivity. We find a very significant contribution of R&D, patents and spillover stock to productivity. In addition, the magnitude of the patent stock coefficient is substantially larger than that estimated by R&D stock. Our results imply that innovative activity investment has been very productive in increasing output for Taiwanese manufacturing firms in the 1990s.     

Research and development and trade policies for product innovation in the presence of foreign competition

This paper examines two policy instruments — a matching grant and import tariffs — for encouraging research and development (R&D) in product innovation by a domestic firm when it faces foreign competition. We do so by developing a theoretical model of product innovation where R&D effort is endogenous and its outcome uncertain. We examine the effects of a reduction in import tariffs on private expenditure on R&D, on public support for such R&D, and on total R&D expenditure. We find that in response to a reduction in import tariffs, the domestic firm always reduces its private R&D investments, but the total level of R&D expenditure (i.e., including public support) might go up depending on the level of tariffs. In particular, we find that it will go up if the initial level of tariff is higher than a critical level. When tariff is endogenous, we find that the socially optimal level of tariffs is positive. One finding that is of particular interest is that supporting private attempts to product innovate in the form of a matching grant program leads to a socially optimal level of product R&D.     

Timing and Commitment of Environmental Policy,Adoption of New Technology,and Repercussions on R&;D

We investigate the interplay between environmental policy, incentives to adoptnew technology, and repercussions on R&D. We study a model where a monopolistic upstream firm engages in R&D and sells advanced abatement technology to polluting downstream firms. We consider four different timing and commitment regimes of environmental tax and permit policies: ex post taxation (or issuing permits), interim commitment to a tax rate (a quota of permits) after observing R&D success but before adoption, and finally two types of ex antecommitment before R&D activity, one with a unique tax rate (quota of permits), the other one with a menu of tax rates (permit quotas). We study the second best tax and permit policies and rank these with respect to welfare. In particular, we find that commitment to a menu of tax rate dominates all other policy regimes.     

A simple theory and evidence on the determinants of firm R&D

This paper derives a simple, but informative, model of firm R&D to figure out key factors that determine firm R&D effort. The model suggests a demand-pull, technology-push theory of R&D by showing that a firm's profit-maximizing R&D expenditure is determined jointly by both demand-side factors and technology-side factors. The former includes demand size (firm sales) and consumer preference over quality and price and the latter includes R&D cost structure or the production-cost effect of product R&D and firm-specific technological competence. In addition, the model shows that other things being equal, the stock of exogenous technological knowledge, including the firm's previously accumulated technological knowledge, relevant to current R&D which is negatively related with current R&D effort. An empirical analysis of firm R&D intensities and technological capabilities of more than 1600 firms in nine industries across six countries provides supportive evidence for the theory. Further, the theory implies that R&D intensity or the R&D-to-sales ratio is independent of firm size unless firm size affects technological competence and that given consumer preference and R&D cost structure facing all firms in the same industry, the distribution of firm-specific technological competence among firms determines the distribution of firm R&D intensities within the industry.