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.     

How do the combined effects of CEO decision horizon and compensation impact the relationship between earnings pressure and R&D retrenchment?

Although relevant literature has been accumulated, how earnings pressure from stock analysts affects a firm's innovation expenditures remains unclear. In order to make this relationship more clear, this study investigates the impact of earnings pressure on a firm's research and development (R&D) investment by considering the combined effects of CEOs’ decision horizon and incentives. Our hypotheses were tested by firms from the S&P 1500 during the period from 2000 to 2012. The findings reveal that earnings pressure has a detrimental effect on a firm's R&D investment, and also that it goes worse when CEOs have a shorter decision horizon. However, when it comes to compensation incentives, we found that either CEOs equipped with higher stock ownership or fewer stock options can reduce the adverse effect of a shorter decision horizon on the relationship between earnings pressure and R&D retrenchment.     

Domestic R&D,Foreign Direct Investment and Welfare

This paper provides a new rationale to examine the two‐way relationship between domestic research and development (R&D) and foreign direct investment (FDI), as well as their impacts on domestic welfare. Our analysis is based on the strategic interaction in cost‐reducing investment decisions between domestic firms and a foreign firm, which is different from the common factors that are discussed in the literature such as spillovers and technology sourcing. Our results are as follows. We show that domestic R&D investment may either increase or decrease the foreign firm's FDI incentives. Further, depending on the marginal cost of domestic firms, domestic R&D incentives can always increase regardless of the effects of domestic R&D investment on the foreign firm's FDI decision. Finally, we find that domestic welfare improves under domestic cost reduction if the slope of the marginal cost of domestic R&D investment is sufficiently small.     

Effect of piracy on innovation in the presence of network externalities

This paper analyzes the impact of simultaneous increases in piracy (piracy effect) and network externalities (network effect) on R&D investment. A single firm's R&D investment increases (or decreases) if the network effect (or piracy effect) is dominant. With R&D competition, if the firms “significantly” differ with respect to their R&D efficiencies and if the piracy effect dominates the network effect then the less efficient firm's R&D investment increases and that of the more efficient firm's decreases. In this case, the overall probability of successful innovation increases. The reverse holds if the network effect dominates the piracy effect. If the firms are “less” asymmetric then their R&D investment either increases or decreases depending on the relative strengths of the piracy and network effects.     

Internal R&D effort,external imported technology and economic value added: empirical study of Taiwan's electronic industry

Technology innovation is a significant resource in the contemporary knowledge-based economy. The main sources of technology innovation are internal R&D effort and external imported technology. Two primary traditional production factors are physical capital and labour. The theoretical basis for this study is an evolutionary Cobb–Douglas production function explaining the effects of four resources (internal R&D effort, imported technology, physical capital and labour) on a firm's sales and economic value added (EVA). Time-series cross-section panel data from 219 Taiwan electronic manufacturers between 1990 and 2003 were employed for fixed effect model. Major empirical findings were observed in this study: first, Internal R&D effort can positively affect a firm's sales and EVA. Conversely, imported technology is found to have had no significant effect on sales and EVA. Second, although both physical capital and labour affect a firm's sales more than the effects of internal R&D and external imported technology, internal R&D effort contributes to a firm's EVA beyond the effects of imported technology, physical capital and labour. Third, External imported technology has neither a complementary nor a substitutive relationship with internal R&D effort.     

Foreign and domestic R&D investment

A considerable share of R&D investment is due to multinational firms that simultaneously operate R&D bases at home and abroad. We develop a simple model of foreign and domestic R&D investment and test the model's predictions on a sample of 146 Japanese multinational firms’ R&D investments in Japan and the United States in 1996. The empirical results confirm that the foreign to domestic R&D ratio depends on relative technological opportunities and relative demand conditions, with foreign research expenditures responding to technological opportunity and foreign development expenditures responding to demand.     

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.     

Does R&D spending boost tangible investment? An analysis on European firms

This article investigates the relationship between firm’s R&D intensity, expressed as R&D expenditure over sales, and investment intensity in tangible assets. It is commonly acknowledged that R&D requires additional physical investment to be implemented. R&D increases a firm’s productivity and return to tangible investments, thus, providing to the firm incentives to bear high tangible capital costs and to invest more. This represents a crucial issue for a firm’s growth, particularly considering the strong interaction between physical capital accumulation and technological progress. The analysis is based on a large sample of manufacturing firms across seven European countries in the period 2007–2009. Since the sub-sample of firms performing R&D might not be random, there may potentially be an endogeneity issue. The analysis also considers that firms may decide to spend on R&D and investment in physical capital simultaneously. The questions of both endogeneity and simultaneity are dealt with by employing an instrumental variable two-step procedure. We find a positive and significant impact of R&D intensity on firms’ tangible investment intensity. The econometric results highlight the importance of financial factors, particularly with respect to firms’ internal resources. Exposure to international trade has a negative impact on investment, possibly depending on the time-span of the sample used.

Abbreviations: Technological Innovation and R&D; Investment Capital; Industry Studies; Firm Behavior; Empirical Analysis     

To what extent do earnings affect the R&D decision of Chinese manufacturing firms?

ABSTRACT

As R&D activities are involved in inherent uncertainty of large investment, high risk and long return periods, earnings, as the main source of internal financing, have been a significant factor of R&D decision in the firms. In contrast to the previous research, this study investigates the impacts of firm’s earnings on R&D decision, in which earnings are measured by the indicators of earnings level, earnings quality and earnings persistence, while separating firm R&D activity into two stages of (i) the decision to undertake R&D activity and (ii) the amount to be invested on innovation activities. We document that earnings level can increase the probability of undertaking R&D activity, but has no effect on R&D investment intensity. Earnings quality and earnings persistence have a promotional effect on both stages of R&D decision. The empirical evidence of the subsamples shows that the impacts of earnings are heterogeneous across different ownership and technology-intensity firms.     

China's Outward Direct Investment in Africa

The empirical determinants of China's outward direct investment (ODI) in Africa are examined using an officially approved ODI dataset and a relatively new OECD–IMF format ODI dataset. China's ODI is found responding to the canonical economic determinants that include the market seeking motive, the risk factor, and the resources seeking motive. It is also affected by the intensity of trade ties and the presence of China's contracted projects. A host country's natural resources have an impact on China's decision on how much to invest in the country rather than on whether to invest in the country or not. China's drive for Africa's natural resources is mainly a recent phenomenon and, probably, became prominent after the “Going Global” policy adopted in 2002.     

Multinationals,R&D and Endogenous Productivity Asymmetries

We analyze the influence of endogenous productivity asymmetries between firms, in terms of competitiveness and size, on multinational activity. In the model, productivity depends on cost-reducing R&D (research and development). We show that when firms differ on commitment power in R&D, the R&D leader, independently of being a multinational or a domestic firm, tends to invest more in R&D than the R&D follower. Because of these productivity advantages, the R&D leader can more easily become multinational. Therefore, in addition to the proximity-concentration trade-off, we identify another FDI (foreign direct investment) determinant: technological competition.     

Relocation and investment in R&D by firms

The literature on foreign direct investment has analyzed corporate location decisions when firms invest in R&D to reduce production costs. Such firms may set up new plants in other developed countries while maintaining their domestic plants. In contrast, we here consider firms that close down their domestic operations and relocate to countries where wage costs are lower. Thus, we assume that firms may reduce their production costs by investing in R&D and likewise by moving their plants abroad. We show that these two mechanisms are complementary. When a firm relocates it invests more in R&D than when it does not change its location and, therefore, its production cost is lower in the first case. As a result, investment in R&D encourages firms to relocate.     

Beyond R&D activities: the determinants of firms’ absorptive capacity explaining the access to scientific institutes in low–medium-tech contexts

A firm's search strategy is to use innovation inputs from external sources such as suppliers, clients, competitors, universities and research transfer offices (RTOs) to complement their in-house knowledge. Thus, a firm needs to be capable of identifying and valuing the potential value of certain external knowledge, i.e. absorptive capacity. Most of the studies regarding search patterns are reduced mostly to medium–high- and high-tech industries in which only the level of investment in R&D activities as determinant of a firm's search strategy is considered. In addition, when the flows of external knowledge arise from firm–university interactions, the evidence is still inconclusive, specifically for SMEs and low–medium-tech environments. Therefore, the objective of this paper is to explore the pattern of a firm's search strategy through its absorptive capacity to acquire external flows of knowledge from universities and RTOs. The paper draws especially on the role of non-R&D innovation activities in low–medium-tech sectors. Seven hundred and forty three innovative firms from the Spanish Ministry of Industry are analysed. Results suggest that human resources and other non-R&D activities are the core drivers explaining the cooperation agreements to access external knowledge from universities and RTOs. Surprisingly, R&D expenditures do not contribute to the explanation. This paper presents important implications for policy-makers beyond the classic R&D policies.     

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.      

Strategic timing in R&D agreements

We study the endogenous formation of R&D agreements in a R&D/Cournot duopoly model with spillovers where also the timing of R&D investments is endogenous. This allows us to consider the incentives for firms to sign R&D agreements over time. It is shown that, when both R&D spillovers and investment costs are sufficiently low, firms may find difficult to maintain a stable agreement due to the strong incentive to invest noncooperatively as leaders. In this case, the stability of an agreement requires that the joint investment occurs at the initial stage, thus avoiding any delay. When spillovers are sufficiently high, the coordination of R&D efforts becomes a profitable option, although firms may also have an incentive to sequence noncooperatively their investment over time. Finally, when spillovers are asymmetric and knowledge mainly leaks from the leader to the follower, investing as follower may become extremely profitable, making R&D agreements hard to sustain unless firms strategically delay their joint investment in R&D.     

Free trade versus strategic trade as a choice between two ‘second best’ policies: A symmetric versus asymmetric information analysis

Abstract

We analyse the following policy dilemma: strategic trade policy versus free trade when the domestic government is bound to intervene only after the domestic firm's strategic variable in the form of R&D investment is chosen, and when the information can be either symmetric or asymmetric. The novel feature of our model is that the information asymmetry stems from the assumption that the government may not a priori know the true mode of competition. The intervention in the above set-up allows the domestic firm to manipulate the domestic government and results in a socially inefficient choice of the strategic variable. However, commitment to free trade leads to forgoing the benefits from profit-shifting. Yet, from the social point of view, free trade may be optimal even under the assumption of symmetric information. Due to costly signalling, this result is reinforced in the case of asymmetric information.     

Entry of foreign firms and the R&D behaviour: a panel data study of domestic and foreign firms in China's manufacturing sector

Rapid globalization has resulted in increased competitive pressures. The entry of foreign firms in a host economy increases the level of competition faced by not only the domestic firms but also the existing foreign firms. We argue that domestic firms, especially in developing countries, respond to this situation by increasing their research and development (R&D) spending, whereas the foreign firms decrease their R&D spending. By making use of firm-level panel data from China's manufacturing sector, over the period 2005–2007, this paper investigates the impact of the entry of foreign firms on R&D behaviour of domestic and foreign firms. Empirical analysis, based on Tobit and Instrumental Variables Tobit regression, reveals that foreign entry increases the R&D intensity of domestic firms but its impact on R&D intensity of foreign firms is negative. The estimated results are found to be robust across balanced and unbalanced panels.     

Dynamics of firm's network community associations and firm's innovation performance

ABSTRACT

R&D network structures have crucial impacts on firm's innovation performance. However, most previous studies have been based on the whole or ego network perspective, few studies have investigated the influence of community structure that a firm is engaged in on its innovation performance, and it is still unclear how a firm's relation to network community affect its innovation performance. This research aims to address this gap by focusing on the dynamics of firm's network community associations, empirically investigate the relationship between dynamics of firm's network community associations and its innovation performance. Based on the unbalanced panel data of smartphone R&D network during year 2004–2017, the results demonstrate that change in community member associations and movement across communities both have inverted-U-shaped effects on firm's innovation performance. Moreover, innovation openness depth has moderating effects on the relationships between dynamics of firm's network community associations and its innovation performance.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.