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on Technology and Industrial Dynamics |
| By: | MOTOHASHI Kazuyuki |
| Abstract: | This paper uses patent filings as an indicator of innovation and investigates the relationship between innovation and firms' survival, based on the linked dataset of the Census of Establishment and Enterprise and the Institute of Intellectual Property (IIP) Patent Database for Japanese firms. We have constructed the indicators on the organization of innovative activities, such as external collaboration in inventions and the type of collaborative partners, and disentangle two competing factors, i.e., technological capability (positive influence on firms' survival) and commercial risk (negative influence on firms' survival). We found that the risk factor surpasses the capability factor, thus the impact of patenting on survival has a negative correlation with firms' survival at the end. |
| Date: | 2012–05 |
| URL: | http://d.repec.org/n?u=RePEc:eti:dpaper:12036&r=tid |
| By: | Michelle Mongo (Université de Lyon, Lyon, F-69007, France ; CNRS, GATE Lyon St Etienne,Université Jean Monnet, Saint-Etienne, F-42000, France); Corinne Autant-Bernard |
| Abstract: | This article makes a study of the influence of innovation determinants on their ability to innovate and the different types of innovation (technological and non-technological) developed within service sector. The statistics are provided from the community Innovation Survey. The estimation method is a probit with selection from the framework proposed by Heckman (1979) and refined by Van De Ven and Van Praag (1981). The first equation explains the innovative capacity and the second explicates the implementation of different types of innovation (technological and / or non-technological). The analysis focuses on the comparison of innovation behaviors in service sector and industry. The results demonstrate that the determinants of innovation ability are similar for service sector and industry and the differences are issued from different forms of innovation developed. More precisely, it comes from the orientation of each sector towards more or less technological innovation. The results bring up the question of the appropriateness of current policies of innovation especially in R&D’ promotion. The author proposes to take into account the consideration of different types of activities and innovation for this policy and suggests to focus on the lowtechnological but innovative and non-technological activities like intellectual services. |
| Keywords: | Non-technological Innovation, Services, Community Innovation Survey |
| JEL: | O31 |
| Date: | 2014 |
| URL: | http://d.repec.org/n?u=RePEc:gat:wpaper:1214&r=tid |
| By: | Harhoff, Dietmar; Mueller, Elisabeth; Van Reenen, John |
| Abstract: | Innovation processes within corporations increasingly tap into international technology sources, yet little is known about the relative contribution of different types of innovation channels. We investigate the effectiveness of different types of international technology sourcing activities using survey information on German companies complemented with information from the European Patent Office. German firms with inventors based in the US disproportionately benefit from R&D knowledge located in the US. The positive influence on total factor productivity is larger if the research of the inventors results in co-applications of patents with US companies. Moreover, research cooperation with American suppliers also enables German firms to better tap into US R&D, but cooperation with customers and competitors does not appear to aid technology sourcing. The results suggest that the brain drain to the US can have upsides for corporations tapping into American know-how. -- |
| Keywords: | technology sourcing,knowledge spillovers,productivity,open innovation |
| JEL: | O32 O33 |
| Date: | 2012 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fsfmwp:187&r=tid |
| By: | Alessandro Caiani (Department of Economics and Business, University of Pavia) |
| Abstract: | The paper presents an Agent-Based extension of Nelson-Winter model of schumpeterian competition. The original version did not provide any insight about the direction of firms’ innovative activities and of technological change as a whole. As a result, it lacked an explicit structure governing firms interaction and the shape of externalities. We address these criticisms by taking explicitly into account the structure of technology in use in the industry, that we shape as a directed network of nodes and links: nodes represent technological skills to be learnt by firms looking for ’new combinations’ and links represent their reciprocal interdependencies. The network is created in order to reflect the defining properties of Technological Paradigms and Technological Trajectories, as they emerge by evolutive-neoschumpeterian literature. Firms’ ability to learn technological skills through imitation of competitors generates spillover effects related to the process of diffusion of innovation. The basic model presented here focuses on a particular aspect of schumpeterian competition: the relationship between industry initial concentration and its overall innovative performance and, vice-versa, between innovation process and the evolution of industry structure over time. In this same perspective we also analyze how firms’ interactions and the structure of technology concur in determining the success or failure of an innovative strategy. Finally we argue that the model presented here might constitute a flexible framework worthy of further applications in the study of innovation process and technological progress. |
| Date: | 2012–05 |
| URL: | http://d.repec.org/n?u=RePEc:pav:wpaper:176&r=tid |