Modeling the firm's response to research & development tax credit policies

In this article, we develop a microeconomic model of normative firm behavior under the incentive of a research and development (R&D) tax credit. The model is based on the well-known concept of a two-factor learning model in which R&D expenditures and manufacturing capacity expansion are the principle determinants of cost reduction in a new technology product. We distinguish between the behavior of start-up firms and ongoing firms and study the potential impacts of progressively larger R&D tax credits. We find highly significant differences in the potential impact of the credit on start-up firms versus ongoing firms. We also find that the credit can significantly impact optimal product pricing of the technology when introduced into the marketplace. We examine the implications of this latter fact on the overall social cost of the R&D tax credit.     

Cost Reduction,Competitive Pressure and Firms' Optimal R&D Strategies in a Duopolistic Industry

This paper deals with a duopolistic industry where firms are engaged in cost-reducing R&D activity in order to maximize their market shares. Firms' R&D competition is characterized as a dynamic noncooperative feedback game where the optimal strategies are affected by the extra-industry R&D activity and the degree of intra-industry spillovers. Numerical simulations highlight the importance of the assumptions on the firms' absorptive capacity (to exploit external knowledge) in determining the optimal levels of firms R&D investrnents.     

Interplay between internal investment and alliance specialization in R&D and marketing

A firm's efforts to build its technological and marketing capabilities are not limited to internal investments but can be extended to include external knowledge acquisitions. We examine the interaction between a firm's specialization in R&D or marketing through its internal investments and its alliances in two different industrial contexts. Our results, based on secondary data sources such as Compustat and SDC Platinum from 1985 to 2009, show that the interaction effects of internal specialization and alliance specialization are contingent on the types of tasks (i.e., R&D and marketing) and the industrial context (i.e., high- and low-tech industries). Our findings indicate that a firm in a high-tech industry is able to achieve greater gains by complementing its internal focus on R&D with its external focus on marketing or by focusing on R&D both internally and externally. In contrast, a firm in a low-tech industry is able to achieve greater performance when R&D and marketing complement each other, without regard for how they are aligned through internal investments and alliances. The firm is also able to improve its performance by focusing on marketing both internally and externally. These findings provide new insights into the complementarity between internal investments and alliances.     

Declared essential patents and average total R&D expenditures per patent family

The sharp increase in SEP declarations and declaring firms emphasizes the necessity for understanding firms’ innovation investment behavior in standardization. This paper empirically investigates whether declared standard-essential patents (SEPs) and the declaring firm’s business model (operationalized as a firm’s location in the value chain) are associated with a firm’s innovation investment behavior. To this end, we measure firms’ innovation investment behavior through average total research and development (R&D) expenditures per filed patent family for publicly listed firms from 1999 to 2018. Our sample mainly includes major SEP family declarants. We rely on a binary business model taxonomy differentiating upstream and downstream firms. Within that setting, total R&D expenditures rise with increasing fragmentation of declared SEP families, suggesting that firms adjust their R&D investments to declaration developments in standard-setting organizations (SSOs). We also show that upstream firms have significantly lower total R&D expenditures than downstream firms, which could indicate structural differences in their intellectual property (IP) and R&D management processes. Our results can help SSOs and regulators better understand firms’ innovation investment behavior.     

Persistence in R&D Performance and its Implications for the Granting of Subsidies

We study whether R&D subsidies can be used to encourage sustained R&D performance. To this end we measure the importance of true state dependence (TSD) in R&D performance and of subsidies’ inducement effects. Estimates that are based on a panel of Spanish manufacturing firms that are observed during the period 1998–2009 reveal that both magnitudes are positive and significant. Simulations that are carried out with the estimated parameters show that subsidies can generate permanent inducement effects for 9 % of Spanish manufacturing firms. The subsidy shares that are needed to generate permanent inducement effects among small firms (firms with fewer than 200 employees) are larger than those that are needed to generate permanent inducement effects among large firms (firms with 200 or more employees).     

Giving fish or teaching to fish? An empirical study of the effects of government research and development policies

This study compares how government research and development (R&D) subsidy and knowledge transfer from universities and public research institutions stimulate a firm's new product development. More importantly, we emphasize that the effects of these governmental R&D policies on new product development can be achieved not only directly, but also via a mediating role – a firm's innovation capability. Furthermore, we test how other external knowledge sources (such as knowledge from universities and public research institutions) interact with government R&D support to stimulate new product development. The results, based on an investigation of 270 Chinese firms, suggest that both government R&D subsidy and knowledge transfer from universities and public research institutions enhance new product development. The results also show that although government R&D subsidy and knowledge transfer from universities and public research institutions has a direct impact on new product development, innovation capability does mediate the above relationships. Moreover, unlike the findings that other external knowledge sources have a direct influence on new product development as indicated by the previous literature, our findings suggest that external knowledge sources substitute with the government R&D subsidies and complement with knowledge transfer from universities and public research institutions. The results confirm the old sayings that teaching to fish (knowledge transfer from universities and public research institutions can complement with other external knowledge sources) is much better than giving fish (government R&D subsidies substitute other external knowledge sources). This paper enriches current literature of government R&D support policies to firm new product development by providing empirical evidences.     

The path of R&D efficiency over time

In this paper we investigate the pattern of R&D efficiency in terms of the number of product innovations achieved by firms over time. Using a panel dataset of Spanish manufacturing firms for the period 1990–2006, we follow the innovative performance of R&D active firms and observe that innovation rates change over firms' R&D histories. To explain these facts we propose a model that explicitly acknowledges the twofold composition of firms' R&D expenditures, comprising spending on both physical capital for R&D projects and payments to researchers. We regard this latter component of R&D as a source for dynamic returns to firms' R&D investments. Consequently firms' innovation outcomes clearly depend on how long they have been investing in R&D and also on whether there have been any interruptions in the temporal sequence of R&D activities. Our results suggest that R&D activities exhibit dynamic returns that are positive but at a decreasing rate, and that interruptions in R&D engagement reduce R&D efficiency.     

International harmonization of the patent-issuing rules

Using a dynamic model of patent races for two sequential innovations, Scotchmer & Green (1990) compared the effect on R&D incentives of the two patent-issuing rules, first-to-invent and first-to-file, and found first-to-file more conducive to R&D. We show that their result depends on their assumption of fixed innovation probabilities. When innovation probabilities are endogenous for the intermediate invention, their result can be reversed. Our analysis has the obvious implications on the evaluation of the Leahy–Smith America Invents Act (2011), whereby the U.S. switched from first-to-invent to first-to-file.     

Agricultural research spending must increase in light of future uncertainties

Agricultural productivity depends critically on investments in research and development (R&D), but there is a long lag in this response. Failing to invest today in improvements of agricultural productivity cannot be simply corrected a few decades later if the world finds itself short of food at that point in time. This fundamental irreversibility is particularly problematic in light of uncertain future population, income, and climate change, as portrayed in the IPCC’s Shared Socio-Economic Pathways (SSPs). This paper finds the optimal path of agricultural R&D spending over the 21st century for each SSP, along with valuation of those regrets associated with investment decisions later revealed to be in error. The maximum regret is minimized to find a robust optimal R&D pathway that factors in key uncertainties and the lag in productivity response to R&D. Results indicate that the whole of uncertainty’s impact on R&D is greater than the sum of its individual parts. Uncertainty in future population has the dominant impact on the optimal R&D expenditure path. The robust solution suggests that the optimal R&D spending strategy is very close to the one that will increase agricultural productivity fast enough to feed the World under the most populous scenario. It also suggests that society should accelerate R&D spending up to mid-century, thereafter moderating this growth rate.     

A structural model on the impact of prediscovery licensing and research joint ventures on innovation and product market efficiency

Using a novel database on prediscovery licensing agreements (one type of R&D cooperation) as well as detailed firm-level and semiconductor market-specific information, we estimate the impact of prediscovery licensing agreements (PDLAs) on innovation and product market efficiency. Our results show that PDLAs reduce innovative activity in the semiconductor industry by 10 percent, or 4089 patents, throughout the 1989–1999 period. On the contrary, research joint ventures (a different type of R&D cooperation) increase innovative activity. Based on a structural model, we provide evidence that PDLAs increase production costs and semiconductor prices by 1 percent, which results in customers paying an additional $1.1 billion for semiconductors per year. Beyond the common concern that R&D cooperations facilitate coordination activities in product markets via price fixing, our study highlights that PDLAs can be used as an instrument to coordinate R&D activities, which can reduce innovation activity and increase costs and prices.     

Empirical Evidence on the Success of R&;D Cooperation—Happy Together?

In this paper we analyse the effect of past R&D cooperation on current firms’ innovation performance. Success measures are: sales of innovative products, distinguishing between products new to the firm and new to the market, and cost reductions due to innovative processes. Particular attention is paid to the impact of different cooperation partners. The analysis rests on firm-level data of the annual German innovation survey. We find that R&D cooperation with competitors leads to greater cost reductions that are attributable to innovative processes. R&D cooperation with research institutes has a positive influence on a firm’s economic success with market novelties.      

The co-production of value in digital,university–industry R&D collaborative projects

In the context of R&D collaborations between universities and industry, this study investigates the co-production process and the contextual elements that shape it. We develop a conceptual framework that builds on the service-dominant logic perspective that value propositions emerge from the interaction between co-producing parties and the integration of resources. Specifically, the framework explicates how individual, organizational, and external factors shape the type of interactions and the platforms used, the availability and use of operand and operant resources, and the organizational and individual outcomes sought in R&D collaborative projects. We investigate the interplay among these factors through group interviews with UK industry practitioners and university researchers in the context of digital research projects. The types of interaction, resources, and outcomes sought that characterize successful R&D collaboration are revealed, and the contextual aspects that enable, facilitate, block, or create barriers to successful R&D collaborations are identified. Finally, we propose five practical principles for the successful development of collaborative R&D projects within the university–industry context.     

Strategies for knowledge use in R&D and their implications for innovative performance

We argue that research on R&D strategy and on the use of external knowledge in R&D in particular should differentiate between distinct uses of external knowledge. We distinguish between uses of external knowledge for replication (using knowledge as is) vs. for compounding (building on acquired knowledge by combining it together with internally developed knowledge). We theorize about the respective innovative performance implications of these two strategies and compare them with a self-reliant strategy of internal R&D. We also elaborate contingencies for each strategy, pertaining to firm capabilities and cooperation. We test our predictions using a large sample survey of Dutch innovators in multiple industries. Our findings indicate that compounding firms perform better than replicating firms when the share of sales that consists of innovations that are new to the market is assessed, but they do not outperform firms with an internal R&D strategy. Furthermore, these differences disappear when the share of sales consisting of less novel innovations is studied. This research demonstrates the importance of distinguishing between R&D strategies that replicate vs. compound external knowledge.     

Evaluating the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development program

This study analyzes the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development (R&D) program. We examine 6,990 government‐sponsored, completed R&D projects during the last three performance follow‐up survey years from 2010 to 2012, and present a design of the sample of panel data to cope with the typical R&D performance time lag using a set of massive observations associated with completed R&D projects for the past 7 years from 2005 to 2011. In particular, data envelopment analysis is adopted to measure the efficiency and productivity change, which is measured in the Malmquist index. Parametric and nonparametric statistical tests are carried out to check for statistically significant differences among the characteristics regarding the types of government subsidy recipients. This study's major findings are as follows. First, during the entire period analyzed (2010–2012), there was a similar yearly pattern of statistically significant differences in the government subsidy means among the recipient types. In contrast, there were no obviously equivalent differences in the efficiency and productivity change. Second, the productivity had increased year on year, but the increments were reduced from year to year. Third, the productivity change was induced mainly by the Frontier‐shift, which indicates overall technology innovation progress, compared with the Catch‐up, which only indicates a simple increase in the efficiency. In particular, in this empirical analysis, the recipient types of ‘national laboratory’ and ‘large company’ had relatively larger sizes of government subsidies per project. However, the efficiency and productivity change of these types was not better than the others. This implies, therefore, that the government should control the ratio of the subsidy to the total R&D budget with an appropriate upper limit.

• I empirically evaluate the productivity change within a national technology innovation R&D program.
• I design a sample of panel data to cope with the typical R&D performance time lag using massive observations.
• There is no obvious relationship between the government subsidy size and R&D productivity change.
• Some particular types of government subsidy recipient are inferior in terms of R&D productivity change.
• It practically implies that the government should control the ratio of the subsidy to the total R&D budget.

     

The Effects of Taxes and Organizational Variables on Research and Development Intensity

Prior research has failed to reach consensus on which variables explain private-sector research and development (R&D) spending. This study extends prior research explaining R&D spending of firms in the US private sector by regressing R&D intensity on a number of tax and organizational variables. COMPUSTAT data from 113 firms in 1994 are used to estimate the effects of the variables on R&D intensity (used interchangeably with R&D activity). Ordinary least square estimates indicate that firms that were eligible for the R&D credit had higher R&D activity than firms that were ineligible. R&D intensity is a decreasing function of both capital intensity and the debt to capital ratio. Neither management stockholding nor diversification strategy meaningfully influenced R&D activity. The reported results have implications regarding US tax policy towards the tax subsidy for R&D. The results also help to clarify prior findings regarding a number of organizational variables on R&D intensity. One implication of these results for US tax policy is that private sector R&D intensity can be meaningfully influenced by the level of tax subsidy.     

Do R&D Subsidies Stimulate or Displace Private R&D? Evidence from Israel

In evaluating the effect of an R&D subsidy we need to know what the subsidized firm would have spent on R&D had it not received the subsidy. Using data on Israeli manufacturing firms in the 1990s we find evidence suggesting that the R&D subsidies granted by the Ministry of Industry and Trade greatly stimulated company financed R&D expenditures for small firms but had a negative effect on the R&D of large firms, although not statistically significant. One subsidized New Israeli Shekel (NIS) induces 11 additional NIS of own R&D for the small firms. However, because most subsidies go to the large firms a subsidy of one NIS generates, on average, a statistically insignificant 0.23 additional NIS of company financed R&D.     

Complementary assets,start-ups and incentives to innovate

We examine to what extent market conditions facilitating start-up formation affect firms' R&D investment and profits. We consider a model in which R&D efforts of an incumbent firm generate partly tacit technological know-how embodied in a key R&D employee, who might use it to form a start-up. The availability of complementary assets influences whether new firms are created and determine expected profits for start-up's founders. A large availability of complementary assets has the direct effect that the generation of start-ups is fostered. However, as a strategic effect, the incentives of incumbents to invest in R&D may be reduced because of the increased danger of knowledge loss occurring through start-up formation. We characterize the effects of an increase in the availability of complementary assets, showing that counter-intuitively there are cases in which it induces an increase in incumbents' R&D investment.     

Innovation,R&D productivity,and global market share in the pharmaceutical industry

In this paper, we estimate two empirical models using a pooled, cross-section sample of international pharmaceutical firms for the period 1987 to 1989. The first model tests the relationship between R&D productivity and a vector of firm-specific characteristics. The second model tests the determinants of global market share. The empirical analysis reveals three findings. First, we find evidence that there are diminishing returns in the pharmaceutical R&D process. Second, we find that firm size has a positive effect on average R&D productivity and a positive impact on the marginal R&D productivity for plausible R&D staff sizes. And third, we find evidence that R&D productivity and the number of sales employees have a positive effect on the firm's global market share.The views presented in this paper reflect those of the authors and do not necessarily reflect the views of the U.S. International Trade Commission or any of its individual commissioners. We thank William Comanor, Daniel Gropper, Daniel Hamermesh, Susan Pozo, Paul Thistle, and Mark Wheeler for their comments and suggestions on an earlier draft of this paper. We assume all responsibility for any errors contained herein.     

R&D-induced industry polarization and shake-outs

We consider the standard two-stage game of R&D and Cournot competition with ex ante identical firms but depart from the literature in assuming that R&D is characterized by mildly, instead of strongly, decreasing returns to scale. We establish that only extreme R&D levels are possible at equilibrium, and that for a broad range of parameters, equilibria are asymmetric in R&D levels, possibly leading one firm to endogenously exit. This provides a simple link between returns to scale in R&D and industry polarization, including shake-outs. A novelty is that exit may be triggered by positive opportunities in a strategic setting. Given the original nature of our R&D equilibrium, a complete welfare analysis is conducted, including a possible role for R&D subsidies.     

Business R&;D and the Interplay of R&;D Subsidies and Product Market Uncertainty

This paper examines the effect of product market uncertainty and government research and development (R&D) subsidies on firm-level R&D investment. Using a sample of German manufacturing firms, we find that product market uncertainty reduces R&D investment and government R&D subsidies increase R&D investment. Moreover, our results indicate that R&D subsidies mitigate the effect of product market uncertainty on R&D investment. These findings suggest that public policies aimed at increasing business R&D investment can achieve this objective by reducing the degree of uncertainty in the product market.