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  • The productivity of innovation in Portugal
    Publication . Araújo, Nuno; Costa, Leonardo
    We view innovation as a productive process, with outputs and inputs. We aim at compare the productivity of innovation across the twenty seven Member States of the European Union (EU-27), having a particular focus on Portugal. The data on inputs and outputs of innovation were collected from the Innovation Union Scoreboard 2010 report and covers the EU-27 Member States, from 2006 to 2010. The Total Factor Productivity index (TFP index) was used as the technique for data analysis. The choice of this technique was mainly determined by its flexibility and by data constraints. Two types of TFP indexes were computed: i) TFPt (time), which compares the productivity of innovation in each Member State with its productivity in a base year; ii) TFPs (space), which compares the productivity of innovation in each Member State with the productivity of the EU-27 average. Results show larger TFPs differences across Member States than TFPt differences. Concerning TFPt, there is a reduction of productivity of most of the Member States during the time length, which can be explained by the recent world financial crisis. This was the case of Portugal, where average TFPt in the time length is slightly below 1. The seven Member States that did not lose any productivity are mostly from Eastern Europe, Member Sates which have entered the European Union and accede to its structural funds more recently. Concerning TFPs, Portugal presents average TFPs well above 1. The Portuguese average TFPs value is close to the one of Germany and higher than the one of Sweden. The Innovation Union Scoreboard 2010 report classifies Portugal as Moderate innovator and Germany and Sweden as innovation leaders. We conclude that productivity of innovation in Portugal is similar to the one of Germany and higher than the one of Sweden. Differences between Portugal and those Member States, such as the ones reported in the Innovation Union Scoreboard 2010, can be explained by the fact of Portugal having fewer resources allocated to innovation and thus fewer outputs from innovation than Germany or Sweden have.
  • A counting multidimensional innovation index for SMEs
    Publication . Pereira, Nuno Campos; Araújo, Nuno; Costa, Leonardo
    Purpose: The purpose of this paper is to develop a multidimensional innovation index (MII) framework for measuring and benchmarking multidimensional innovation of small and medium enterprises (SMEs) and groups of SMEs. Design/methodology/approach: A counting dual cut-off method is employed. First, output and input innovation profiles and composite scores of individual SMEs are computed. Second, a set of four composite innovation indices are generated characterizing the group of SMEs under analysis: MIIo and MIIi measure multidimensional output and input innovation, respectively; while MIIr and MIIa assess the ratio and average of MIIo and MIIi, respectively. To test the MII framework, a survey was conducted among SMEs of the metalworking industry in Portugal. Findings: In 2012, about 28.9 percent (42.2 percent) SMEs of the Portuguese metalworking industry were determined to be multidimensional output (input) innovative. The average percentage of dimensions for which output (input) innovative SMEs were innovative was 65.0 percent (66.0 percent). Thus, the industry MII vector was (MIIo; MIIi; MIIr; MIIa)¼ (0.188, 0.279, 0.674; 0.233). Significant differences were found across the industry, individual SMEs’ multidimensional output and input innovation scores, enabling the identification of groups of SMEs, which can be characterized and compared by computing the corresponding and specific MII vectors. Research limitations/implications: The research has limitations because of the small size of the sample and the benchmarking possibilities it provides. Originality/value The novelty of the MII framework lies in the counting dual cut-off method employed.