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.     

Climate Policy under Technology Spillovers

We study climate policy when there are technology spillovers between countries, as there is no instrument that (directly) corrects for these externalities. Without an international climate agreement, the (non-cooperative) equilibrium depends on whether countries use tradable quotas or carbon taxes as their environmental policy instruments. All countries are better-off in the tax case than in the quota case. Two types of international climate agreements are then studied: One is a Kyoto type of agreement where each country is assigned a specific number of internationally tradable quotas. In the second type of agreement, a common carbon tax is used domestically in all countries. None of the cases satisfy the conditions for the social optimum. Even if the quota price is equal to the Pigovian level, R&D investments will be lower than what is socially optimal in the quota case. It is also argued that the quota agreement gives higher R&D expenditures and more abatement than the tax agreement.     

Limits and Cycles of Environmental Policy

The OLG-model analyzes emissions of an accumulative pollutant in a laissez-faire economy and an economy regulated through a government controlled license market. The government either takes the price on the license market as given or sells the licenses demanded at the Cournot price. The first type of regulation is called a 'liberal environmental policy', and the second type a 'monopolistic environmental policy'. The forward looking temporary and the stationary equilibria as well as the pollution boundaries of the mechanisms are studied. If people can choose between laissez-faire and regulation (or between the liberal and the monopolistic environmental policy regime), then in general no steady state exists. Instead endogenous policy cycles can alternate between laissez-faire and regulation or between liberal and monopolistic regulation.     

Effects of coordinated strategies on product and process R&;D

Using a game theoretical model on firms’ simultaneous investments in product and process R&D, we advance and empirically test hypotheses on the role of externalities on the optimal R&D portfolio of cooperating firms and independently competing firms. We use Community Innovation Survey data on 3,696 Italian manufacturing firms. In line with our model we find that members of a group of firms invest significantly more into product, process, and aggregate R&D than independent firms. Further, their R&D portfolios tend to show a higher product versus process ratio. However, with regard to R&D performance and efficiency we find that independent firms are superior.      

The impact of R&D subsidy on innovation: evidence from New Zealand firms

This study examines the impact of government subsidy through R&D grants on innovation output for firms in New Zealand. Using a large database that links administrative and tax data with survey data, we find that R&D grants have a stronger effect on more novel innovation (e.g. applying for a patent or introducing new products to the world) than on incremental innovation (e.g. any product innovation) and that larger, project-based grants are more effective at promoting innovation than smaller, non-project-specific grants. There is little evidence that R&D grants have differential effects between smaller (<50 employees) and larger firms.     

Assessing the influence of differentiation strategy and R&D subsidies on R&D cooperation

This paper explores the R&D cooperation determinants of the innovative companies belonging to the Spanish manufacturing sector. Our findings suggest that the variable R&D subsidy is endogenous, significant, and has a strong positive influence on R&D cooperation. This is a clear indication that the achievement of public aid is often conditioned by the obligation for companies to cooperate in R&D. We have also found that the differentiation strategy variable is significant and has a negative influence on R&D cooperation. Companies positioned in a differentiation strategy probably own and use some different knowledge from other companies. Consequently, they will not have much interest in taking advantage of the spillovers generated by other companies. It is therefore logical that they are reluctant to establish cooperation agreements on R&D. Therefore, companies positioned in the differentiation strategy need public policies to support R&D that are not conditioned to the establishment of cooperation agreements.     

Environmental Policy with Endogenous Technology from a Game Theoretic Perspective: The Case of the US Pulp and Paper Industry

The merits of different types of regulatory tools in eliminating pollution and at the same time inducing innovation have long been an interest of researchers in both environmental economics and industrial organization. Although there is a substantial theoretical literature investigating the potential for various environmental policies to attain these dual goals, this is a challenging empirical problem because every industry has its own inherent characteristics that play an important role in determining the performance of different regulatory tools. The majority of the work to date focuses on pollution abatement while leaving pollution prevention understudied. In most of the literature firms are also assumed to be symmetric. Asymmetries among firms add another degree and level of complexity to their strategic interactions, and affect the performance of different regulatory tools. This paper investigates the performance of two alternative regulatory tools, an emissions performance standard and an emissions tax, in reducing pollution and inducing pollution prevention and abatement R&D in the US pulp and paper industry. We construct a model representing the industry in an asymmetric Cournot duopoly framework, calibrate the model to disaggregated industry data, and run scenarios to replicate the behavior of the firms in an imperfectly competitive output market. Our results suggest that pollution prevention R&D can respond quite differently than abatement R&D to different policy instruments. The results indicate that R&D spillovers among firms play crucial role in technology development and strategies of the firms. Our results also suggest that strategic interactions between firms in an imperfectly competitive industry can have significant impacts of the levels of both types of R&D.      

Political Competition, Rent Seeking and the Choice of Environmental Policy Instruments

This paper investigates the impact of political lobbying on the choice of environmental policy instruments. It is argued that the prevalence of pollution emission standards over more efficient policy instruments may result from rent seeking behaviour. The model further predicts that when an emission standard is used to control pollution, rival political parties have an incentive to set the same standard. There is therefore a convergence of policies. Moreover, it is shown that emission taxes are more likely to be supported and proposed by political parties which represent environmental interest groups. This feature appears to accord with the observed support for environmental taxes by Green parties in Europe, Australia, New Zealand and elsewhere.     

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.     

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.     

The effect of risk-sharing government subsidy on corporate R&D investment: Empirical evidence from Korea

Despite the wide belief that the high social rates of returns to R&D investment justify government subsidy policy in advanced countries, there are only limited studies about whether the R&D subsidy as a means of risk-sharing stimulates R&D investment of small and medium sized enterprises (SMEs) in developing countries. This paper empirically investigates the issue, using a unique data set on government subsidy for new technology development of Korean manufacturing firms, listed and non-listed, for the period from 2000 to 2007. The paper employs the DID estimation procedure and controls for simultaneity of the subsidy for new technology development using 2SLS and two step Tobit procedure. Our empirical results show that there is no solid evidence for crowding-out effects of the government subsidy. These results suggest that government subsidies could help SMEs to overcome the barriers to risky R&D projects through sharing R&D failure risk with government and by reducing capital costs to undertake new technology development projects, and thus the subsidy policy for new technology development seems to be partly successful in promoting the R&D investment of the Korean SMEs.     

Boundary spanning leadership,resource mobilisation,and performance of university-industry R&D projects: a study in a Japanese university

Acquisition of university knowledge has grown significantly for firms to complement an internal knowledge base of technological innovation. Recognising the significance, an increasing body of literature has analysed the performance of university-industry R&D projects by adopting managerial and social approaches. Despite the important role played by project leaders, existing research paid scant attention to the critical ability and quality of successful project leaders in acquiring university knowledge. To address these limitations, this study performed a survey of firms that collaborated with the Ritsumeikan University in Japan and investigates the influence of boundary spanning leadership of project leaders in firms on both knowledge and commercial performance of R&D projects. Furthermore, it also evaluates the mediation effect of university resource mobilisation that links boundary spanning leadership and project performance.     

Knowledge investments, business R&D and innovativeness of countries: A qualitative meta-analytic comparison

The relationship between knowledge investments, innovation and competitiveness is an important topic in both academic research and economic policy and has been studied extensively over the past decades. Nowadays, investments in private and public R&D are believed to make up the heart of a modern knowledge economy. The present paper adopts an evolutionary economics perspective and investigates whether, in addition to private R&D activities, also institutional support systems and policy interventions play a role in inducing innovation initiatives and creating impacts on the performance and competitiveness of industries. We aim to find support for the hypothesis that the competitiveness of industries in the international arena is sustained by the dynamic interaction between national, regional and sectoral innovation systems. This may provide stakeholders with a better understanding of the context in which they operate. Since according to the evolutionary metaphor, the growth of an innovation system follows complex dynamics that cannot simply be analysed within a static quantitative equilibrium framework, we use here an alternative approach based on qualitative pattern recognition analysis originating from artificial intelligence analysis. Besides R&D expenditures, human capital expenditures are regarded as the major input in the knowledge creation process in our analytical framework. To this end, in our paper a qualitative causal model that maps out conditional relations between key factors in national innovation systems will be described. The focus of our investigation is on systematic patterns in the competitiveness of the EU Member States, using statistical information on innovation input and output data from the European Innovation Scoreboard. In our analysis we find support for the hypothesis that there are indeed significant interactions between distinct institutional levels, which may provide guidance to the strategic orientation of nations and the European Union in terms of the emphasis on competitiveness vis-à-vis cohesion.     

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.