Instituto de Políticas y Bienes Públicos (IPP) CSIC, Working Paper 2013-03
José L. Oviedo & Alejandro Caparrós
We investigate transitions among crop, grass and forest land uses in Andalusia (Spain) through an econometric model that uses individual land use decisions observed in the Corine Land Cover database as dependent variable, and net income, subsidies and biophysical and environmental factors as explanatory variables. Using multinomial logit models (fixed and random parameters), we identify both monetary and environmental and biophysical variables as significant in explaining land use decisions, but model performance significantly improves with the latter variables. We also identify the role...
Instituto de Políticas y Bienes Públicos (IPP) CSIC, Working Paper 2013-02
Stéphane Maraut & Catalina Martínez
The aim of this paper is to describe a matching and disambiguation methodology for the identification of author-inventors located in the same country. It aims to maximize precision and recall rates by taking into account national name writing customs in the name matching stage and by including a recursive validation step in the person disambiguation stage. An application to the identification of Spanish author-inventors is described in detail, where all SCOPUS 2003-2008 publications of Spanish authors are matched to all 1978-2009 EPO applications with Spanish inventors. Using this data, we...
Instituto de Políticas y Bienes Públicos (IPP) CSIC, Working Paper 2013-01
Luis Sanz-Menéndez, Gregg Van Ryzin & Eloísa Del Pino
This paper analyses public support for government spending on science and technology (S&T) and its determinants. It constructs hypotheses based on previous findings from two streams of research: public preferences for government spending and public understanding of science. Using data from a large national survey in Spain, it develops multivariate models to test the relevance of various predictors of public support for government spending on S&T. Findings identify several variables that are clear and consistent predictors of public support for government spending on science and...