Cooperative and noncooperative R&D with spillovers: The case of labor-managed firms

This research focuses on the behavior of not-for-profit enterprises. In particular, using a familiar model of cost-reducing R&D with spillovers, we examine strategic interactions between labor-managed firms in a duopoly. Research spillovers have not been previously considered in the context of labor-managed firms. Among four market scenarios involving (i) competition in research and production; (ii) cooperation in research and production; (iii and iv) competition or cooperation in research and the reverse in production, our results show that research is greatest under full cooperation, while output is greatest under full competition. Output and R&D are the lowest in the case when firms compete in research, but form a production cartel. The degree of research spillovers has a crucial bearing upon these rankings. Some of these results differ from those for profit-maximizing firms. The effects of changes in research spillovers on employment (output) are shown to depend upon the nature of the underlying production technology. Policy implications are discussed.     

The national innovation policy effect according to firm location

The regional nature of innovation and innovation policy was investigated. The aim of this study was to determine whether the specific economic and institutional conditions of a region had an influence on the results of a national policy intended to support entrepreneurial innovation. The analysis compared the effect of the national R&D subsidies on the innovation effort of firms located in central regions, which concentrate an important percentage of the national innovation activity, together with those firms located in periphery regions. Significant regional differences were detected with regard to the national R&D subsidies’ effect and distribution. The central regions manifested a higher subsidy effect compared to the periphery regions. The results of this study have allowed us to conclude that the region plays an important differentiating role in connection with the final result of the innovation policy aimed at the entire national territory. Therefore, this study recommends including the geographical location of the firm in future evaluations.     

Environmental regulation, technological diversity, and the dynamics of technological change

Inducing technological progress is an important objective of environmental regulation. We investigate under which conditions regulation-induced technological progress pursues the best technological option. We analyze a setting with vertical and horizontal technological progress, cost uncertainty, time-limited patent protection, and a case that is typical for some emissi4on-intensive industries, like electricity generation or the chemical industry. Under taxes and standards, only the current least-cost technology is used and developed, implying a lock-in into a possibly inferior technology. Tradable permits yield slower progress but can facilitate the simultaneous development of technologies, rendering lock-ins less likely.     

A patent race in a real options setting: Investment strategy, valuation, CAPM beta, and return volatility

In this paper, we study financial properties of R&D intensive firms through a continuous-time real-options patent-race model. Numerical analysis in this study shows that intense competition drives a firm to invest more aggressively, which then pushes up its cost of capital and return volatility while introducing negative return correlation with its competitor. Furthermore, we find that a firm's position in competition has important impacts on its financial properties. For instance, a firm's cost of capital is a non-monotonic function of its relative position in the race. In addition, the relationship between cash flow uncertainty and investment can be negative when a firm is far ahead or far behind, or positive when firms are close in the race.     

R&D strategy and Australian manufacturing industry: an empirical investigation of emphasis and effectivness

This research investigates the degree of emphasis placed by the Australian manufacturing industry on Research and Development (R&D) strategy as well as on other organisational strategies such as marketing, HRs (HR), technology, and operations at the functional level. The research extends further to investigate whether the emphasis on R&D strategy differs with contextual factors such as firm size, firm’s generic strategy, type of market, firm’s life cycle stage, etc. A mail survey was carried out to collect information from manufacturing firms across Australia. This was followed by an on-site interview of some of the senior managers of manufacturing firms from three Australian states: South Australia, Victoria and New South Wales.The study found that although the emphasis on R&D strategy has received a high priority in the past few years, it has not been as effective as the operations strategy and the technology strategy. The operations strategy has been accorded the highest importance in the past few years and this will continue in the future. The study also indicated that firms, which adopt a differentiation generic strategy, put more emphasis on R&D than the firms, which adopt cost leadership and focus generic strategies. The results did not indicate any evidence of a relationship between firm size and the R&D strategy although large firms are found to put more emphasis on operations and marketing strategies. Relatively higher emphasis was placed on the R&D strategy by businesses: at the growth stage; involved in the manufacture of consumer goods as opposed to industrial goods; involved in exports with a higher sales growth in export markets; and having a higher growth rate relative to their industry.     

On the way to creativity: Engineers as intrapreneurs in organizations

Organizations often hide creativity and talent. This paper describes how to make engineers active in the field of intrapreneurship within large firms where they often are employed in R&D. This development is seen, in Europe at least, most desirable by the companies today. Technology has an extensive impact on the society and economy nowadays, and it is important to study how technological innovations appear and who is behind them. Entrepreneurship and organizational intrapreneurship are, in many cases, the basis of technological innovations and firm renewal. Engineers are the company's special professional workforce that has the role to produce and develop innovations. Since the world of high-tech companies needs the cooperation of many experts, engineers must be able to cooperate well with other fields of expertise such as marketing, research and development as well as external suppliers and service providers. Also, innovations today often ask not only for unique technical knowledge but also social knowledge to make these innovations meaningful. In this sense, social innovation parallels technical innovation. Thus, in this paper we explore the origins of the intrapreneurship capacity in engineering settings of hightech firms, thereby concentrating on three issues: Who is the intrapreneur and the engineer-intrapreneur in particular? What kind of managerial and organizational support is required to facilitate the intrapreneur's upcoming? What are the educational and work related consequences for practical intrapreneurship tool development?     

Measuring Intersectoral Technology Spillovers: Estimates from the European and US Patent Office Databases

This paper presents several new methods for measuring intersectoral knowledge spillovers, and applies these methods in an analysis of productivity growth in manufacturing for a cross-country, cross-sectional sample for the 1980s. It is argued that existing methods of measuring such intersectoral knowledge spillovers are mostly aimed at measuring so-called crent spillovers'. The methods developed here are aimed at measuring knowledge spillovers—an additional aspect of the spillover process. The empirical analysis shows that there are indeed differences between these two types of spillover measure.     

Contributions and Channels of Interindustry R&D Spillovers: An Estimation for Japanese High-tech Industries

This paper estimates the contributions of R&D spillovers to four high-tech industries in Japan—general machinery, electrical machinery, transportation machinery and chemicals—by estimating the trans-log cost and share functions that include the R&D stock variables of own and spillover-source industries. The candidates for spillover- source industries are selected on the basis of large R&D flow or R&D proximity. The R&D flow measures the spillover embodied in purchased intermediate goods using input–output coefficients. The R&D proximity measures the extent of similarity between a pair of industries of the distribution of R&D expenditures across research fields, and is expected to show the likelihood of spillover at the R&D stage. The results suggest that electrical machinery benefited from R&D in the chemical industry, through the purchase of intermediate goods, whereas general machinery and transportation machinery benefited from R&D in the metal products industry, through R&D proximity. There was no evidence of the chemical industry benefiting from R&D spillovers. These results clearly imply that the contributions and the channels of R&D spillovers are diverse, casting doubt on earlier studies that used weighted sums of R&D expenditures (or their stocks) of other industries as aggregate spillover variables.     

Roles, resources and benefits of intermediate organizations supporting triple helix collaborative R&D: The case of Precarn

Triple helix collaborations involving academia, government and industry are believed vital to the success of regional technology development. However, due to differences in culture, organizational functioning and incentive mechanisms as well as the different objectives of the various actors involved, such collaboration is difficult to create and sustain. A case study of the organization called Precarn, a collaborative, which manages a program of triple helix projects, is used here to illustrate how an intermediate organization can help triple helix partnerships towards the successful commercialization of new technologies. The paper contributes to the literature on managing R&D collaborations and innovation networks using organization theories to explain why and how collaborative intermediate organizations can facilitate successful technological adoption and commercialization across innovation networks.     

Resonant R&D structure for effective technology development amidst megacompetition—an empirical analysis of smart cooperative R&D structure in Japan’s transport machinery industry

Under the megacompetition in globalizing economy while facing long lasting economic stagnation, the effective utilization of potential resources for innovation has become a crucial strategy for R&D intensive industries. The construction of a smart cooperative R&D structure has thus become significant. Among Japan’s R&D intensive industries, the transport machinery industry has constructed an effective cooperative R&D structure by smartly complementing both comparatively advantageous and disadvantageous technologies by means of integrating the effective utilization of technology spillover and joint collaborative R&D.Prompted by this complementing system, this paper attempts to elucidate the mechanism enabling the transport machinery industry to construct the smart cooperative R&D structure. Resonant R&D structure is identified as a source of such R&D cooperation leading to increasing its marginal productivity of technology.     

Application of the Yale Technology Concordance to the Construction of International Spillover Variables for India

Although there is increased interest in the role of international technology spillovers, empirical studies have been hampered by a host of measurement problems. This paper reviews recent attempts to address two of these problems. First, there are differing degrees of transferability of technology from one region to another. Second, both embodied and disembodied technology are transferred, and these different modes of transfer have distinct implications for both behavior and policy. To deal with the first measurement problem, the Yale Technology Concordance (YTC)—a matrix that maps patents into industries of manufacture and sectors of use—was used to construct indices of relevance of foreign technology to India. To deal with the second measurement problem, the YTC was again used to construct pools of embodied and disembodied international technology. After describing the variable construction, the paper highlights the performance of these variables in equations that predict Indian firms' R&D, technology purchases and output.     

Convergence to symmetry in dynamic strategic models of R&D: The undiscounted case

Will R&D increase or decrease the asymmetry between firms over time? We examine this issue in the context of a dynamic, alternate-move duopoly model of non-cooperative R&D. The asymmetry we consider is with respect to the initial stocks of technological knowledge which provides one firm a greater potential for current and future profits in the product market. Utilizing a value loss process constructed from the Optimality Equation of dynamic programming, we show that for the undiscounted case the asymmetry between the firms disappears over time. We obtain this convergence-to-symmetry result by imparting a temporal character to R&D through the notion that R&D investment cannot be changed instantaneously, by allowing research externalities, complementarity or substitutability between own and appropriated R&D, and either increasing, decreasing or constant returns to scale in the production of technical knowledge from own and rival R&D.     

Value and risk dynamics over the innovation cycle

This paper studies investment in intellectual capital and corresponding value and risk dynamics over the innovation cycle. We assume that the innovation cycle consists of three phases, R&D, trial, and market introduction phases. We use a real option investment model to characterize firm value and risk dynamics over the innovation cycle and find that firm value is the sum of the value of assets in place and non-linear option values related to breakthrough, exit, and market introduction options. Firm risk over the innovation cycle is highly non-linear and quite distinct in different phases. During the R&D phase risk is high as the firm faces high operating leverage originating from R&D fixed costs together with technological uncertainty. During the trial phase risk is significantly lower and dominated by option risk to launch the product in the market while after the introduction of the product in the market risk is equivalent to the asset risk of the company. Our model is consistent with the view that positive excess returns of R&D intensive firms are a compensation for risk. Based on this insight we derive several testable predictions.     

Between vision and reality: Promoting innovation through technoparks in an emerging economy

The paper analyses the role of technoparks as instruments of innovation promotion in Kazakhstan using data from a firm survey and interviews. It explores three specific issues: first, the overall effectiveness of technoparks in promoting innovation development in Kazakhstan, second, the underlying innovation model in Kazakhstan technoparks, and third, whether technoparks can compensate for missing elements in the technology-based infrastructure and environment. Our conclusions are that technopark firms are no more innovative than other firms. They are oriented largely towards the local market, and operate in traditional sectors; the frequency and intensity of their external links are more developed than are their internal links. The key motivations for relocating to a technopark seem to be lower rents and the possibility of accessing finance. Overall, Kazakh technoparks seem to be successful in terms of facilitating business incubation, but much less so in terms of innovation promotion and diversification of the economy. Focusing on technoparks as the main mechanism to diversify the economy seems to be an ineffective and uncertain policy option at this stage of the country's economic development. However, there seems to be significant scope for supporting business incubation. The conclusions of this study are of relevance to other emerging economies.     

Industry localization,distance decay,and knowledge spillovers: Following the patent paper trail

This paper investigates Alfred Marshall’s hypothesis that knowledge spillovers increase where industries are localized. At the same time, we take a fresh look at the role of distance in the diffusion of knowledge spillovers. Relying on a cited-citing gravity-like equation with high-dimensional fixed effects that control for multiple sources of observed and non-observed heterogeneity, we implement a Poisson pseudo-maximum-likelihood (PPML) estimator. We find that knowledge spillovers correlate positively with industry localization and that the agglomeration of an industry can offset the adverse effect of distance. The results also corroborate the distance decay effect uncovered in earlier research. Our new approach to estimate the PPML with two high-dimensional fixed effects should prove valuable in applications to a variety of other problems in economics, such as the estimation of gravity equations widely used in modeling migration, trade and other flows among countries and regions.     

Acquisition of skills, labor subsidies, and agglomeration of firms

The paper develops an analytically solvable model of new economic geography in which agglomeration of firms is caused by workers' investment in the acquisition of skills. Skilled workers earn high wages and have a large demand for goods. Since firms are attracted towards the demand, they locate at proximity of skilled workers. More workers invest in the acquisition of skills when more firms ask for these skills. Consequently, partial or full agglomeration of firms may be the location equilibrium. We also show that a reduction in transport costs increases the regional governments' incentives to subsidize the acquisition of skills.     

Issues in Assessing the Effect of Interindustry R&D Spillovers

This paper aims to clarify three issues concerning the weighting methodol ogy generally used to evaluate interindustry R&D spillovers. These issues concern the likely nature of the spillovers estimated through different types of supporting matrices; the similarity between input–output (IO), technology flows and technological proximity matrices; and the relevance of the assumption that a single matrix can be used for different countries. Data analyses of weighting components show that technology flows matrices are in an intermediate position between IO matrices and technological proximity matrices, but closer to the former. The various IO matrices, as well as the three technological proximity matrices, are very similar to each other. The panel data estimates of the effect of different types of interindustry R&D spillovers on industrial productivity growth in the G7 countries reject the hypotheses that a technology flows matrix can be approximated by an IO matrix and that a single IO matrix can be usedfor different countries. By transitivity, the procedure that comprises using a single technology flow for several countries is not reliable. The international comparison shows that each country benefits from different types of R&D externality. In Japan and, to a lesser extent, in the US, the rate of return to direct R&D is very high and is likely to compensate for relatively weak interindustry R&D spillover effects. In the five other industrialized countries, the reverse observation is true: strong social rates of return to R&D counterbal ance the poor performances of direct R&D.     

The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence

Researchers have identified open innovation as two dimensions, external technology acquisition and external technology exploitation. This study explores the direct and interactive effects of these two dimensions on firm performance and further examines the moderation effects of two factors (i.e., internal R&D and environmental turbulence) on the relationship between both types of open innovation and firm performance. Based on Chesbrough's open innovation model, multi-item scales were developed to measure two dimensions of firm-level open innovation. Survey results of 176 Taiwanese high tech manufacturing firms provide support for most hypotheses. The result shows that external technology acquisition positively affects firm performance, whereas external technology exploitation does not. This study also finds that external technology acquisition strengthens the relationship between external technology exploitation and firm performance. Both external technology acquisition and external technology exploitation are positively related to firm performance under high internal R&D investment and a turbulent market environment. However, technological turbulence only positively affects the relationship between external technological acquisition, but not external technology exploitation, and firm performance. The findings contribute to enhanced understanding of how the degree of leveraging open innovation dimensions depends on their complementarity, internal R&D, and environmental turbulence.     

On the optimal mix of patent instruments

A special characteristic of the patent system is that it features multiple patent-policy levers that can be employed by policymakers. In this note, we develop an R&D-based growth model to analyze the optimal mix of patent instruments by considering patent breadth and the division of profit in research joint ventures. Our results are as follows. First, we analytically derive the optimal mix of patent breadth and the profit-division rule. Then, we calibrate the model to quantitatively evaluate the welfare gain from optimizing both patent instruments versus optimizing only patent breadth. We find that the welfare gain can be quantitatively significant.