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on Intellectual Property Rights |
| By: | Krammer, Marius /S.S. |
| Abstract: | Innovation plays a crucial role in determining today’s economic growth patterns. But what enables some countries to innovate more than others? This paper employs in premiere a panel of sixteen Eastern European countries throughout their transition period exploring empirically the drivers of their innovative capacity using as a proxy the number of patent granted in the USA. The econometric analysis confirms the importance of R&D commitments and innovative tradition in the form of existing knowledge stock. Increased trade openness and intellectual rights protection determine higher international patenting, while the transition specific factors, such as structural industrial distortions or aggregated output drops, have a significant negative influence. Governmental funding and research performance of universities encourage more innovation at the technological frontier, while the business R&D funding in Eastern Europe is negatively correlated with it. |
| Keywords: | National innovative systems; Transitional Economies; Patents; Eastern Europe; |
| JEL: | P2 O57 O3 |
| Date: | 2008–03–07 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:7739&r=ipr |
| By: | Graziella Marzi |
| Abstract: | Software industry is a fast growing sector of the economy which is undergoing significant changes both for the presence of the open source mode of production and for the challenges of globalization and convergence with other industries. This paper analyses the role of open source software (OSS) on competition and innovation in the software industry and debates the economic rationales for promoting the adoption of OSS by national and local governments. |
| Keywords: | software industry, open source software, patent system |
| JEL: | L17 L |
| Date: | 2007–12 |
| URL: | http://d.repec.org/n?u=RePEc:mib:wpaper:133&r=ipr |
| By: | Thitima Puttitanun (Department of Economics, San Diego State University) |
| Abstract: | This paper studies the relationship between intellectual property rights (IPR) and the entry modes decision by multinational firms. When considering exports, foreign direct investment (FDI), and licensing as technology transfer channels, the empirical analysis of the 1995 U.S. data show that unlike the findings in the literature, strong IPR has a larger positive impact on FDI than on licensing. |
| Date: | 2007–05 |
| URL: | http://d.repec.org/n?u=RePEc:sds:wpaper:0027&r=ipr |
| By: | Takalo, Tuomas (Bank of Finland Research); Tanayama, Tanja (HECER, University of Helsinki); Toivanen, Otto (HECER, University of Helsinki) |
| Abstract: | This paper studies the welfare effects of R&D subsidies. We develop a model of continuous optimal treatment with outcome heterogeneity where the treatment outcome depends on applicant investment. The model takes into account heterogeneous application costs and identifies the treatment effect on the public agency running the programme. Under the assumption of a welfare-maximizing agency, we identify general equilibrium treatment effects. Applyiing our model to R&D project-level data we find substantial treatment effect heterogeneity. Agency-specific treatment effects are smaller than private treatment effects. We find that the rate of return on subsidies for the agency is 30–50%. |
| Keywords: | applications; effort; investment; R&D; selection; subsidies; treatment programme; treatment effects; welfare |
| JEL: | C31 L53 O31 O38 |
| Date: | 2008–03–11 |
| URL: | http://d.repec.org/n?u=RePEc:hhs:bofrdp:2008_007&r=ipr |
| By: | Uwe Cantner (Friedrich-Schiller-University Jena, Department of Economics); Andreas Meder (Friedrich-Schiller-University Jena, Department of Economics) |
| Abstract: | In this paper we investigate the determinants of cooperative innovation and put our main focus on the regional or spatial and on the technological or sectoral dimension. We suggest a method to disentangle these two factors and to extract differential regional effects. The latter can be used to identify and evaluate the strength of regional innovation systems. Applying this method to German patent data we find evidence that regional differences in the degree of cooperative innovation are not only due to the technological/sectoral composition of the region but also due to a specific regional effect. |
| Keywords: | Cooperative innovation, regional innovation system, technological proximity, spatial proximity |
| JEL: | O31 P25 Q55 |
| Date: | 2008–02–25 |
| URL: | http://d.repec.org/n?u=RePEc:jrp:jrpwrp:2008-014&r=ipr |
| By: | N. Lacetera; L. Zirulia |
| Date: | 2008–01 |
| URL: | http://d.repec.org/n?u=RePEc:bol:bodewp:624&r=ipr |
| By: | Antonelli Cristiano (University of Turin); Pierpaolo Patrucco (University of Turin); Rossi Federica |
| Date: | 2008–02 |
| URL: | http://d.repec.org/n?u=RePEc:uto:labeco:200802&r=ipr |