Growth, Development and Structural Change of Innovator Networks - The Case of Jena

We attempt to extend the static analysis of innovator networks by providing case study based insights into the dynamic, developmental or evolutionary pattern of such networks. In the theoretical part, we develop some building blocs that are considered central to a theory of network evolution. Especially, we focus on the growth of innovator networks and their structural change over time, i.e. how new relationships come into existence and existing ties are cut, how new actors join the system, and other actors leave it. The factors shaping these structural properties, can explain how coherence might increase in some periods while it might decrease in others. We exemplify these patterns for the case of the Jena network of innovators during the period 1995-2001

Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective

Using multinational input–output data, we analyze how the productivity of countries adjusted for participation in global value chains affects their output growth in manufacturing sectors. Based on parametric and nonparametric methods, we find that value-chain linkages are critical to the productivity–growth nexus and help to explain cross-country differences in sectoral output growth rates compared to the situation where these linkages are ignored. Our results have implications for macroeconomics, where they point to peer effects in productivity as drivers of growth, and for economic development, where they illustrate how the participation in global value chains may outweigh disadvantages in productive performance at the level of individual countries. They may also encourage future empirical tests of replicator dynamics to verify whether global value chains can explain the weak evidence of selection forces at the firm level. © 2023 Oxford University Press. All rights reserved

Creative destruction over the business cycle: a stochastic frontier analysis

[[abstract]]This paper examines the within-industry distributions of jobs created and destructed across plants in terms of technical efficiency, technical efficiency change, scale effect, and technical change. It further investigates how these distributions vary with economic activity. By applying the stochastic frontier analysis to plant-level longitudinal data on Taiwan’s 23 two-digit manufacturing industries spanning the period 1992–2003, we find that jobs created (destructed) are disproportionately clustered at plants with lower technical efficiency but higher rate of technical change. A fall in economic activities is associated with a statistically significant decrease (increase) in the fraction of newly created (destructed) jobs accounted for by plants with a higher rate of technical change, indicating that creative destruction is more pronounced during economic contractions.[[journaltype]]國外[[incitationindex]]SSCI[[ispeerreviewed]]Y[[countrycodes]]US

Absorptive capacity and innovation: When is it better to cooperate?

Cooperation can benefit and hurt firms at the same time. An important question then is: when is it better to cooperate? And, once the decision to cooperate is made, how can an appropriate partner be selected? In this paper we present a model of inter-firm cooperation driven by cognitive distance, appropriability conditions and external knowledge. Absorptive capacity of firms develops as an outcome of the interaction between absorptive R&D and cognitive distance from voluntary and involuntary knowledge spillovers. Thus, we offer a revision of the original model by Cohen and Levinthal (Econ J 99(397):569-596, 1989), accounting for recent empirical findings and explicitly modeling absorptive capacity within the framework of interactive learning. We apply that to the analysis of firms' cooperation and R&D investment preferences. The results show that cognitive distance and appropriability conditions between a firm and its cooperation partner have an ambiguous effect on the profit generated by the firm. Thus, a firm chooses to cooperate and selects a partner conditional on the investments in absorptive capacity it is willing to make to solve the understandability/novelty trade-off. © 2014 Springer-Verlag Berlin Heidelberg

Prior Knowledge and Entrepreneurial Innovative Success

This paper is concerned with the relationship between innovative success of entrepreneurs and their prior knowledge at the stage of firm formation. We distinguish between different kinds of experience an entrepreneur can possess and find evidence that the innovative success subsequent to firm formation is enhanced by entrepreneurs prior technological knowledge but not by prior market and organizational knowledge. Moreover we find that prior technological knowledge gathered through embeddedness within a research community has an additionally positive influence on post start-up innovative success. This is a first hint towards the importance of collective innovation activities

Competition in Product Design: An Experiment Exploring Innovation Behavior

We experimentally investigate competition in innovation in a patent race scenario. Pairs of subjects compete as seller firms on a duopoly market, engaging in risky search investments. Successful innovation is rewarded through temporary monopoly rents. Throughout the interaction, subjects receive feedback on own and others search success and profit margin. Partitioning subjects into subgroups of investor types reveals that the majority of subjects condition investments on the degree of competition as measured by sales shares, while for others no correlation is ascertained. Heterogeneity in individual risk attitudes and differing experiences with related search tasks may explain this finding

Wages in high-tech start-ups - do academic spin-offs pay a wage premium?

Due to their origin from universities, academic spin‐offs operate at the forefront of the technological development. Therefore, spin‐offs exhibit a skill‐biased labour demand, i.e. spin‐offs have a high demand for employees with cutting edge knowledge and technical skills. In order to accommodate this demand, spin‐offs may have to pay a relative wage premium compared to other high‐tech start‐ups. However, neither a comprehensive theoretical assessment nor the empirical literature on wages in start‐ups unambiguously predicts the existence and the direction of wage differentials between spin‐offs and non‐spin‐offs. This paper addresses this research gap and examines empirically whether or not spin‐offs pay their employees a wage premium. Using a unique linked employer‐employee data set of German high‐tech start‐ups, we estimate Mincer‐type wage regressions applying the Hausman‐Taylor panel estimator. Our results show that spin‐offs do not pay a wage premium in general. However, a notable exception from this general result is that spin‐offs that commercialise new scientific results or methods provide higher wages to employees with linkages to the university sector – either as university graduates or as student workers