External knowledge sourcing for R&D activities: antecedents and implications of governance mode choice

This paper investigates how internal and external factors affect the choice between alliances and joint ventures (A&;JVs) and mergers and acquisitions (M&;As) for the external sourcing of research and development (R&;D) activities, and whether or not such a choice is really contingent, that is, is it the best choice in terms of its impact on firms' innovative performance under those circumstances? We build a set of hypotheses based on both the transaction-cost theory and the resource-based view, and test them through a secondary data source analysis. We found that companies adopt either R&;D M&;A or A&;JV depending on internal (e.g. resources and capabilities, innovation experience) and external (e.g. degree of industry specialisation) factors. Surprisingly, this contingent choice turns to be effective on innovative performance only for the internal factors, rather than the external. This paper contributes to inter-firm relationships literature by presenting the real advantages of using integrated and contingency theoretical models to understand contingent decisions.     

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.     

A two-factor learning model for private sector industrial firms

ABSTRACT

The Cobb–Douglas form of the two-factor learning curve model has been the conventional choice in empirical studies of the relative importance of R&D versus capacity expansion for cost reduction in energy technologies. Most empirical studies have focused on the role of public R&D in the context of renewable energy technologies. In this study, we provide a rationale for considering a different model formulation of the tradeoff between R&D and production capacity expansion when studying technology development in the private sector and we compare it to the conventional Cobb–Douglas model. We then apply our model formulation to a particular emerging technology case study.     

Policy making and rent-dissipation: An experimental test

We present a transfer-seeking model of political economy that links the theory of Becker (1983) with Tullock-type models of politically contestable rents. In our model the size of the transfer is determined endogenously, and over-dissipation of rents is predicted even under conditions of risk-neutrality and perfect rationality. We implement an empirical test of this model by collecting behavioral data in a laboratory experiment. We confirm the existence of behavior that leads to over-dissipation of rents in games with both symmetric and asymmetric political power. To the extent that the transfer-seeking costs are social costs, our findings imply that the total costs of running government might be greatly underestimated if the value of the rent is used as a proxy for the rent-seeking cost. We also confirm the hypotheses that lowering the political power of one player can lead to smaller rent-seeking expenditures and to larger transfers Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C91, D72     

Are we nice(r) to nice(r) people?—An experimental analysis

We experimentally investigate whether individuals can reliably detect cooperators (the nice(r) people) in an anonymous decision environment involving “connected games.” Participants can condition their choices in an asymmetric prisoners’ dilemma and a trust game on past individual (their partner’s donation share to a self-selected charity) and social (whether their partner belongs to a group with high or low average donations) information. Thus, the two measures of niceness are the individual donation share in the donation task, and the cooperativeness of one’s choice in the two games. We find that high donors achieve a higher-than-average expected payoff by cooperating predominantly with other high donors. Group affiliation proved to be irrelevant. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C91, C72, D3     

The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency

ABSTRACT

This paper presents estimates of the impact of public R&D on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector agency data, we estimate the per-capita R&D elasticity of new patent applications using a knowledge production function framework model that is an expanded version of what other scholars have used with private sector data. New patent applications are an important step in the technology transfer activities of a federal agency. We estimate this elasticity to be about 2.0. This elasticity value represents an initial estimate of the impact of EPA’s R&D investments on its technology transfer activity.     

Framing the first-price auction

We revisit the result that, in laboratory independent private values auction, the first-price sealed bid and descending clock (or Dutch) implementations are not isomorphic. We investigate the hypothesis that this arises from framing and presentation effects. Our design focuses on a careful construction of subject interfaces that present the two environments as similarly as possible. Our sessions also consist of more auction periods to test whether any initial framing effects subsequently decrease over time. We find the difference between the implementations persists. To further investigate the difference, we report on an intermediate implementation which operates like the Dutch auction, but in which the clock continues to tick to the lowest price without informing bidders when others have bid on the object. JEL Classification D44, C90 Deceased     

Testing subgame perfection apart from fairness in ultimatum games

We present an experiment designed to separate the two commonplace explanations for behavior in ultimatum games—subjects’ concern for fairness versus the failure of subgame perfection as an equilibrium refinement. We employ a tournament structure of the bargaining interaction to eliminate the potential for fairness to influence behavior. Comparing the results of the tournament game with two control treatments affords us a clean test of subgame perfection as well as a measure fairness-induced play. We find after 10 iterations of play that about half of all non-subgame-perfect demands are due to fairness, and the rest to imperfect learning. However, as suggested by models of learning, we also confirm that the ultimatum game presents an especially difficult environment for learning subgame perfection. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C91, D64, J52     

R&D and patents: is it a two way street?

ABSTRACT

This paper provides empirical evidence on the link between firms’ R&D expenditure and patent registrations by applying the Granger causality test. We use a panel of Spanish manufacturing firms for the period 1990–2013. We first, examine the R&D-patents relationship in the manufacturing firms as a whole and subsequently, manufacturing was broken down into three groups of firms according to the technological level of the industries to which the firms belonged: high and medium-high (HMHT), low medium (LMT) and low (LT) technology firms. For the entire panel, our results provide support for a bidirectional relationship between R&D and patents, supporting both the traditional view and the reverse causality approach (patents cause R&D). When the sample is split into the three technology levels, we also find strong support for a bidirectional relationship in HMHT firms and weak support in LT ones. We found no evidence of this bidirectional link in LMT firms.     

The fragility of a discipline when a model has monopoly status

We consider the consequences of a scientific literature with only one model of an important phenomenon. The falsification of the model would mean falsification of the science. Scientists who would prefer not to have their discipline falsified will be tempted to find ad hoc explanations to excuse the failure. To test this hypothesis we propose a study of the economic forecasts of the comparative Soviet and American growth rates in the years before a public choice model of central planning was a viable alternative to the public interest model. JEL Code A11, B23 Earlier versions of the paper were presented at the University of Manitoba Economics Department Retreat in October 2005 and at the Center for Study of Public Choice Wednesday Seminar in November 2005. We thank the participants for their suggestions. All the remaining errors are our responsibility.     

Appropriability mechanisms,innovation, and productivity: evidence from the UK

ABSTRACT

We use an extended version of the well-established Crepon, Duguet, and Mairesse model [1998. “Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.” Economics of Innovation and New Technology 7 (2): 115–158] to model the relationship between appropriability mechanisms, innovation, and firm-level productivity. We enrich this model in three ways: (1) We compare estimates obtained using a broader definition of innovation spending to those that use R&D spending. (2) We assume that a firm simultaneously innovates and chooses among different appropriability methods to protect the innovation. (3) We estimate the impact of innovation output on firm productivity conditional on the choice of appropriability mechanism. We find that firms that innovate and rate formal methods for the protection of intellectual property highly are more productive than other firms, but that the same does not hold in the case of informal methods of protection, except possibly for large firms as opposed to SMEs. We also find that this result is strongest for firms in the services, trade, and utility sectors, and negative in the manufacturing sector.     

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.     

Extensive Form Implementation in Incomplete Information Environments

We study the implementation of social choice rules in incomplete information environments. A sufficiency condition calledposterior reversalis given for extensive form implementation. The condition has a natural interpretation in signaling terms: Consistent posterior distributions under truth-telling are different from consistent posteriors under deception. This variation in the distribution over player types leads to variation in the distribution over actions and outcomes (comparing truth-telling and deception). We exploit this feature to implement social choice rules.Journal of Economic LiteratureClassification Numbers: D78, D82.     

Contracting inside an organization: An experimental study

In this paper we propose and test a contracting mechanism, Multi-Contract Cost Sharing (MCCS), for use in the management of a sequence of projects. The mechanism is intended for situations where (1) the contractor knows more about the true costs of various projects than does the contracting agency (adverse selection), and (2) unobservable effort on the part of the contractor may lead to cost reductions (moral hazard). The proposed process is evaluated in an experimental environment that includes the essential economic features of the NASA process for the acquisition of Space Science Strategy missions. The environment is complex and the optimal mechanism is unknown. The design of the MCCS mechanism is based on the optimal contract for a simpler related environment. We compare the performance of the proposed process to theoretical benchmarks and to an implementation of the current NASA ‘cost cap’ procurement process. The data indicate that the proposed MCCS process generates significantly higher value per dollar spent than using cost caps, because it allocates resources more efficiently among projects and provides greater incentives to engage in cost-reducing innovations. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C72, C92, D82, L32     

A new test procedure for the choice of dependence structure in risk measurement: application to the US and UK stock market indices

The choice of an appropriate dependence structure in modelling multivariate risks is an important issue because different tail structure embedded in copula leads to a different capital requirement for the institution. We present how to select a well-specified dependence structure to given application data. Using a simple simulation technique, we develop a statistical test to assess the adequacy of a specific dependence structure. We examine the sensitivity of risk estimates to the choice of copulas using the S&P 500 and FTSE 100 stock indices.     

Quantile estimation of frontier production function

The purpose of the paper is to provide new information on the performance of frontier estimation methods, using data from Italian hotel industry. Quantile regression is also suggested as solution to frontier production function estimation. It is shown that, while the choice of estimation methods among conventional techniques significantly affects the economic analysis, quantile regression provides valuable new information by estimating the whole spectrum of production functions corresponding to different efficiency levels. In addition, the method makes available a coherent framework to analyze the performance of the conventional techiniques. Jel classification: C14, C16, D24We would like to thank the Co-Editor, the Associate Editor and an anonymous referee for comments and suggestions. The research was supported by the University Research Council and the National Research Council. The usual disclaimer applies.The estimates were computed using the Roger Koenker and StatLibS-Plus routine of quantile regression and the Tim Coelli and CEPA Web site FRONTIER 4.1 Program. The data set is provided by the Ho.Re.Ca. survey conducted by ISTAT in 1992.First version received: June 2001/Final version received: December 2002     

Mapping AcroQoL scores to EQ-5D to obtain utility values for patients with acromegaly

Aims: To estimate a preference-based single index for the disease-specific instrument (AcroQoL) by mapping it onto the EQ-5D to assist in future economic evaluations.

Materials and methods: A sample of 245 acromegaly patients with AcroQoL and EQ-5D scores was obtained from three previously published European studies. The sample was split into two: one sub-sample to construct the model (algorithm construction sample, n?=?184), and the other one to confirm it (validation sample, n?=?61). Various multiple regression models including two-part model, tobit model, and generalized additive models were tested and/or evaluated for predictive ability, consistency of estimated coefficients, normality of prediction errors, and simplicity.

Results: Across these studies, mean age was 50–60 years and the proportion of males was 36–59%. At overall level the percentage of patients with controlled disease was 37.4%. Mean (SD) scores for AcroQoL Global Score and EQ-5D utility were 62.3 (18.5) and 0.71 (0.28), respectively. The best model for predicting EQ-5D was a generalized regression model that included the Physical Dimension summary score and categories from questions 9 and 14 as independent variables (Adj. R²?=?0.56, with mean absolute error of 0.0128 in the confirmatory sample). Observed and predicted utilities were strongly correlated (Spearman r?=?0.73, p?<?.001) and paired t-Student test revealed non-significant differences between means (p?>?.05). Estimated utility scores showed a minimum error of ≤10% in 45% of patients; however, error increased in patients with an observed utility score under 0.2. The model’s predictive ability was confirmed in the validation cohort.

Limitations and conclusions: A mapping algorithm was developed for mapping of AcroQoL to EQ-5D, using patient level data from three previously published studies, and including validation in the confirmatory sub-sample. Mean (SD) utilities index in this study population was estimated as 0.71 (0.28). Additional research may be needed to test this mapping algorithm in other acromegaly populations.     

The combined estimator approach to model transferability and updating

The idea of transferability is to employ in model estimation, fitted model parameters computed from a different data set. Thecombined estimator approach to the transferability problem is expressed as a linear combination of the unbiased direct estimators on the two data sets. The major gain is in variance reduction. The combined estimator is shown to have superior accuracy, in a Mean Square Error sense, to a unbiased direct estimator whenever the transfer bias is relatively small. A test that indicates if the combined estimator is superior to the direct estimator is provided. Variances of the direct estimators are assumed to be known. Monte Carlo experiments are performed to assess the quality of the approximations. The results show that the approximations used are highly conservative. An empirical example of the combined estimator applied to a discrete choice problem is presented.     

Innovative growth: the role of market power and negative selection

ABSTRACT

This paper relies on register-based statistical data from Finland to measure broad research and development (R&D), organizational capital (OC) and information and communication technology (ICT) investments as innovation inputs in addition to formal survey-based R&D and CIS survey data on innovations. The linked panel data are appropriate for a comparison of low-market-share (small) and large-market-share (large) firms. We analyze the productivity growth and profitability of Finnish firms with varying market power. In contrast to high-market-share firms, low-market-share firms are characterized by low profit derived from new innovations. This study suggests that in addition to imitative growth, a ‘negative selection mechanism’ explains the high productivity growth relative to the low profits.     

Evaluation of a patient self-directed mealtime insulin titration algorithm: a US payer perspective

Objective To model the potential economic impact of implementing the AUTONOMY once daily (Q1D) patient self-titration mealtime insulin dosing algorithm vs standard of care (SOC) among a population of patients with Type 2 diabetes living in the US.

Methods Three validated models were used in this analysis: The Treatment Transitions Model (TTM) was used to generate the primary results, while both the Archimedes (AM) and IMS Core Diabetes Models (IMS) were used to test the veracity of the primary results produced by TTM. Models used data from a ‘real world’ representative sample of patients (2012 US National Health and Nutrition Examination Survey) that matched the characteristics of US patients enrolled in the randomized controlled trial ‘AUTONOMY’ cohort. The base-case time horizon was 10 years.

Results The modeling results from TTM demonstrated that total costs in the base-case were reduced by $1732, with savings predicted to occur as early as year 1. Results from the three models were consistent, showing a reduction in total costs for all sensitivity analyses.

Limitations Data from short-term clinical trials were used to develop long-term projections. The nature of such extrapolation leads to increased uncertainty.

Conclusion The results from all three models indicate that the AUTONOMY Q1D algorithm has the potential to abate total costs as early as the first year.