Impact du financement sur la production scientifique des chercheurs a l'echelle des individus en nanotechnologie au Quebec

This work measures the impact of public and private funding on scientific production of researchers in nanotechnology in Quebec. This impact is measured on the production quantity represented by the number of articles published, and the production quality expressed by the number of citations received.;Our quantitative statistical approach is based on information extracted from bibliometric databases: SCOPUS for publications, USPTO for patents and SIRU for funding data. Integration of different data sources was undertaken in order to achieve a uniform database that links an individual researcher to his received funding, publications and citations, and patents in a given year. In addition, we used the co-publishing relationships to build the network of co-authors and calculate the corresponding network measures. These measures are then inserted by year by a researcher in the uniform database.;Different time related statistical models were tested for binding the impact of funding to the number of publications and citations they receive, this per individual per year. We used several types of models to compare the different results depending on the econometric assumptions. In addition, different combinations of variables were tested to built the most robust models.;The results indicate that an effect of public funding exists on the quantity and quality of scientific production of researchers. This effect follows a J-curve or U-curve. This effect is mainly one of public funds for research operations. The funds for infrastructure increase the likelihood of a researcher to obtain operating funds; this effect is moderated by the presence of private funds. In particular, private financing has no effect on the scientific output of individuals. The patenting effect follows an inverted-U shaped curve. In addition, our models indicate that a more central position of the researcher in the co-publishing network increases both the number of articles published that the number of citations received. The effect of clique has an inverted U-shaped curve. Collaborating in networks where the cliques are denser is beneficial to the research production, but to a certain threshold. After which, more cliquish position reduces the productivity of individual researchers.