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on Network Economics |
| By: | Coulibaly, Mantiaba; Sauvée, Loïc |
| Keywords: | Alliance; Brand; Governance; Network; Value; |
| JEL: | G34 |
| URL: | http://d.repec.org/n?u=RePEc:ner:dauphi:urn:hdl:123456789/2198&r=net |
| By: | Akerman, Anders (Dept. of Economics, Stockholm University); Larsson, Anna (Dept. of Economics, Stockholm University) |
| Abstract: | We study the evolution of the global arms trade network using a unique dataset on all international transfers of major conventional weapons over the period 1950-2007. First, we provide a careful description of the characteristics of global arms trade using tools from social network analysis. Second, we relate our …findings to political regimes by studying whether differences in polity scores affect the likelihood of arms trade by estimating an augmented gravity equation. Our findings from the network analysis are much in line with common views of the Cold War. We see a clear division between the Warsaw Pact and NATO, with the Soviet Union being more central to the former than the United States to the latter. We find that differences in polity has a significant, negative effect on the likelihood of arms trade between two countries. The relationship is remarkably robust throughout the sample period and does not hold for trade in any other good that we investigate. The result suggests that democracies are indeed more likely to trade arms with other democracies than with autocracies since the former are not perceived as potential adversaries. We view this finding as evidence in favour of the Democratic Peace Theory. |
| Keywords: | Arms Trade; Networks; Democracy; Autocracy; NATO; The Warsaw Pact |
| JEL: | F19 F51 F59 P51 |
| Date: | 2010–02–02 |
| URL: | http://d.repec.org/n?u=RePEc:hhs:sunrpe:2010_0002&r=net |
| By: | Ernest Miguelez (Faculty of Economics, University of Barcelona); Rosina Moreno (Faculty of Economics, University of Barcelona) |
| Abstract: | TWe investigate the importance of the labour mobility of inventors, as well as the scale, extent and density of their collaborative research networks, for regional innovation outcomes. To do so, we apply a knowledge production function framework at the regional level and include inventors’ networks and their labour mobility as regressors. Our empirical approach takes full account of spatial interactions by estimating a spatial lag model together, where necessary, with a spatial error model. In addition, standard errors are calculated using spatial heteroskedasticity and autocorrelation consistent estimators to ensure their robustness in the presence of spatial error autocorrelation and heteroskedasticity of unknown form. Our results point to the existence of a robust positive correlation between intra-regional labour mobility and regional innovation, whilst the relationship with networks is less clear. However, networking across regions positively correlates with a region’s innovation intensity. |
| Keywords: | Speed Limits; inventors’ mobility, networks of co-inventors, knowledge production function, spatial econometrics, European regions |
| Date: | 2009–11 |
| URL: | http://d.repec.org/n?u=RePEc:ira:wpaper:201001&r=net |