Comparison of excess social rates of return to product and process R&D

This paper reports results for a well established production function that includes research and development (R&D). By assuming zero depreciation, it can be used to provide estimates of excess social rates of return to R&D. The estimates distinguish spending on product and process innovations for three US manufacturing industries. The results suggest that, while excess social rates of return are found to be negative for product R&D, they are positive for process in each of the industries. They therefore suggest some scope for public R&D subsidies or tax benefits to process R&D but not to product R&D.     

R&D and Productivity in German Manufacturing Firms

This papcr uses a new firm panel data set to explore the relationship between R&D and productivity in German manufacturing firms for the period from 1979 to 1989. The results confirm the view that K&D is an important determinant of productivity growth. In the cross-section, the elasticity of sales with respect to R&D capital is on the order of 14 per cent. Using fixed-effects estimators yields R&D elasticities of about 8 per cent. Assuming different depreciation rates for R&D capital has virtually no effect on these results. Differencing estimates improve considerably when growth rates are computed over longer time periods, suggesting that the divergence between time-series and cross-sectional estimates is driven by random measurement errors. The paper also considers differences between high technology and other firms. Cross-section and panel elasticity estimates of the R&D effect diverge considerably for the two groups, while the corresponding rate of return estimators display far less variation. There is some evidence that the R&D elasticity increased during the early 1980s, and that it fell sharply back to its 1979 value during the period from 1985 to 1989.     

R&D Spillovers: Evidence from U.S. Food Processing,Farm Machinery and Agricultural Sectors

This paper computes private and social rates of return to R&D capital in the three vertically linked sectors, primary agriculture, food processing, and the farm machinery in the United States. Using a cost function approach, the private rates of return to R&D ranged from an average of 21.5% per annum for farm machinery to 87.5% for agriculture. The social rates of return to R&D in food processing and farm machinery are larger than the private rates due to spillovers. We find that spillovers from public agricultural R&D mitigates the market's failure in farm machinery to fully appropriate the returns to its R&D capital.     

The Causality Between R&D And Investment

The aim of this paper is to investigate the relationship between R&D expenditure and investment in machinery and equipment in order to test for causality. New growth theory emphasises the role of R&D in creating blueprints needed to produce new capital goods implicitly assuming causality running from R&D to investment. Other recent studies using firm level data have investigated the relationship between innovative activity and investment in fixed capital. In this paper we use aggregate data from the US economy on R&D expenditure in the industrial sector and aggregate investment in machinery and equipment. Standard Granger causality tests, together with the Hsiao version, are then performed, showing that causality runs from R&D to investment. In addition we perform a cointegration analysis allowing a test of possible long-run feedbacks. This dynamic representation shows that any feedback between investment and R&D is only significant in the long run.     

Tax policy endogeneity: evidence from R&D tax credits

This paper estimates the causal effect of research and development (R&D) tax incentives on R&D expenditures using new data on U.S. states. Identifying tax variation comes from changes in federal corporate tax laws that heterogeneously and, due to the simultaneity of state and federal corporate taxes, automatically affect state-level tax laws. Instrumental variables regressions indicate that a 1% increase in R&D tax incentives causes a statistically significant 2.8–3.8% increase in R&D. Alternatively, ordinary least squares (OLS) regressions of R&D expenditures on R&D tax incentives, which do not correct for the policy endogeneity of R&D tax incentives, indicate that a 1% increase in R&D tax incentives causes a statistically insignificant 0.4–0.7% increase in R&D. One possible explanation for these results is that tax policies are implemented before an economic downturn.     

R&D,productivity, and exports: Plant-level evidence from Indonesia

This study examines the relation between productivity and exports in Indonesian manufacturing firms by taking account the endogenous choice of R&D. We first examine the determinants of R&D activity and find that exporting activity contributes positively to plants' R&D activity, while multinational corporate do not have a higher R&D propensity. The simultaneous estimates on the interrelation of R&D, productivity, and export show that R&D has a positive impact on both productivity and exports, suggesting the importance of R&D to Indonesian economic growth. It suggests also a two-way causality between productivity and exports, implying the coexistence of self-selection and learning-by-exporting effects in Indonesian manufacturing sector.     

International R&D spillovers and institutions

The empirical analysis in “International R&D Spillovers” [Coe, D., Helpman, E., 1995. International R&D Spillovers. European Economic Review, 39, 859-887] is first revisited on an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables. Our results suggest that institutional differences are important determinants of TFP and that they impact the degree of R&D spillovers. Countries where the ease of doing business and the quality of tertiary education systems are relatively high tend to benefit more from their own R&D efforts, from international R&D spillovers, and from human capital formation. Strong patent protection is associated with higher levels of total factor productivity, higher returns to domestic R&D, and larger international R&D spillovers. Finally, countries whose legal systems are based on French and, to a lesser extent, Scandinavian law benefit less from their own and foreign R&D capital than countries whose legal origins are based on English or German law.     

Multi-market interaction and decentralization of R&D decisions

In this paper, we analyse under what conditions it is profitable for a multi-divisional firm to encourage divisions to perform independent R&D, and when it is better to centralize R&D so that the level be chosen co-operatively. Under Bertrand competition, firms always centralize R&D decisions. Under Cournot competition, however, with divisions of the same firm producing substitute products, the strategic advantage of decentralizing R&D compensates the co-ordination loss when the degree of substitutability among the products is not too high; in all other cases (when products are very good substitutes or when divisions of the same firm produce complement goods) the pay-off to co-ordination is greater than the strategic advantage of decentralization. Social welfare is maximized when firms centralize R&D.     

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.     

THE SUBSTITUTABILITY OF CAPITAL, LABOR, AND R&D IN US MANUFACTURING

This paper examines the relationship between inputs in industrial production. The inputs studied here are capital, labor, and research and development (R&D). Using translog technology, our cross-industry analysis of six industries reveals that capital and labor are complements in production while R&D and labor are substitutes. However, the relationship between capital and R&D is not so clear cut. It is also found that constant-returns-to-scale hold for only two of the six industries. A test of sensitivity to changes in the R&D depreciation rates suggests that some industries are sensitive to such changes.     

The impact of public R&D expenditure on business R&D*

This paper attempts to quantify the aggregate net effect of government funding on business R&D in 17 OECD Member countries over the past two decades. Grants, procurement, tax incentives and direct performance of research (in public laboratories or universities) are the major policy tools in the field. The major results of the study are the following: Direct government funding of R&D performed by firms has a positive effect on business financed R&D (except if the funding is targeted towards defence activities). Tax incentives have an immediate and positive effect on business-financed R&D; Direct funding as well as tax incentives are more effective when they are stable over time: firms do not invest in additional R&D if they are uncertain of the durability of the government support; Direct government funding and R&D tax incentives are substitutes: increased intensity of one reduces the effect of the other on business R&D; The stimulating effect of government funding varies with respect to its generosity: it increases up to a certain threshold (about 10% of business R&D) and then decreases beyond; Defence research performed in public laboratories and universities crowds out private R&D; Civilian public research is neutral for business R&D. * We thank the participants to various seminars, including the OECD Committee for Scientific and Technology Policy and the NBER 2000 Summer Institute on Productivity for helpful comments and suggestions. All opinions expressed in this article are those of the authors and do not reflect necessarily the views of the OECD or Université Libre de Bruxelles.     

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.     

R&D and productivity: evidence from large UK establishments with substantial R&D activities

ABSTRACT

We use Office for National Statistics' micro data for large UK establishments in the production industries in the period 1997–2008 to study the relationship between their productivity and the presence of substantial R&D activities, either at the production unit itself, or at other UK reporting units owned by the same enterprise group. We estimate that total factor (revenue) productivity is on average about 14% higher at the establishments which have substantial R&D themselves, compared to those with no R&D. Among the establishments with no R&D themselves, we estimate that productivity is on average about 9% higher at those which belong to enterprise groups which do have substantial R&D elsewhere in the UK in the same sub-sector. For the establishments with substantial R&D themselves, we also estimate a significant positive relationship between current productivity and past R&D expenditure using dynamic specifications which allow for both establishment-specific ‘fixed effects’ and a serially correlated error component.     

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 boundaries of the firm: An estimation of the double-hurdle model on commissioned R&D,joint R&D,and licensing in Japan

This paper studies the firm’s decisions on in-house R&D and its procurement from outside through commissioned R&D, joint R&D, and technology acquisitions (i.e., licensing-in). Using the data about 14,000 manufacturing firms in Japan, we estimate a modified double-hurdle model in which the first hurdle determines whether the firm should perform any R&D at all and the second hurdle determines whether (and how much) it should perform each mode of procured R&D. The results generally support the two major theories—the transaction cost theory and the capability theory. The estimated positive effects of firm size, in-house R&D intensity, diversification, and vertical integration support the hypothesis that capability is needed for procured R&D, while the estimated positive effect of the index of appropriability by patents supports the hypothesis that this appropriability reduces transaction costs. In addition, we found that information flow from scientific sources and that from transaction-based sources affect the three modes of procured R&D differently.     

Detecting which firm-specific characteristics impact market-oriented R&D

This paper investigates which firm-specific characteristics lead multinational enterprises (MNEs) to increase their R&D expenditure in host countries as a way of expanding their business into local markets (market-oriented R&D). The literature that addresses this topic is quite limited because of the difficulty of separating market-oriented R&D expenditure from knowledge-sourcing R&D expenditure in the data. We argue that determining the relationship between local sales and R&D expenditure is a better way to identify whether MNEs are investing market-oriented R&D than is separating the two types of R&D. For connecting firm-specific characteristics, local-market sales, and R&D expenditure together, we adapt two-stage regressions. By employing data from Taiwanese multinationals from 2003 to 2006, we found that if an MNE moves its technology toward capital-intensive products, it increases its R&D expenditure to promote its sales in the local markets in the host country.     

R&D policy in a vertically related industry

In this paper, we analyze the effectiveness of public policy aimed to stimulate business-performed R&D in a vertically related market. We examine the role of an R&D active upstream supplier in a four-stage R&D model, where we incorporate public funding. The considered policy instrument is direct funding of firms’ R&D efforts. We calculate the optimal policies and show that they have a positive impact on firms’ R&D investments. From a welfare point of view, it is optimal to differentiate the subsidy rates between the upstream and the downstream markets. Competition in the product market leads to a higher subsidy rate to the upstream supplier than to the downstream firms. When concentration is high in the downstream market, the optimal solution is an R&D subsidy for these firms, otherwise the optimal solution is an R&D tax for the downstream firms.     

R&D spending in the high-tech sector and economic growth

The present paper provides new estimates of the impact of investment in R&D on long-term economic growth. In particular, we estimate a dynamic empirical growth model using panel data for OECD countries from 1970 to 2004. This study is the first to investigate whether the specialization of R&D activities (i.e. share of R&D investment in the high-tech sector) has an additional effect on GDP per working age population. Using a system GMM estimator in order to control for endogeneity, we find that both the ratio of business enterprises’ R&D expenditures to GDP and the share of R&D investment in the high-tech sector have strong positive effects on GDP per capita and GDP per hour worked in the long term.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.     

R&D intensity,economic growth and firm-size growth: theory and practice

This article proposes a theoretical knowledge-driven horizontal research and development (R&D) endogenous-growth model to explain, for 10 innovative countries, the co-movement of the respective R&D intensity, economic growth and firm-size growth, by exploring short-medium-run and long-run growth effects. Bearing in mind some recent literature, we improve the R&D technology, by considering that R&D is more labour intensive through time as complexity increases, that the diffusion of designs is affected by coordination, organizational and transportation costs, and that a potential entrant will come up with the right idea is reduced because of the presence of a larger number of entrants. We show that when the economy is not initially in a steady state, it can take a saddle path towards the unique and locally saddle-path stable interior steady state. Both transitional-dynamics and steady-state behaviours of our theoretical model are then consistent with, respectively, the time-series and the cross-sectional evidence.