40 research outputs found

    Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance

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    Innovations, be they radical new products or technology improvements are widely recognized as a key factor of economic growth. To identify the factors triggering innovative activities is a main concern for economic theory and empirical analysis. As the number of hypotheses is large, the process of model selection becomes a crucial part of the empirical implementation. The problem is complicated by the fact that unobserved heterogeneity and possible endogeneity of regressors have to be taken into account. A new efficient solution to this problem is suggested, applying optimization heuristics, which exploits the inherent discrete nature of the problem. The model selection is based on information criteria and the Sargan test of overidentifying restrictions. The method is applied to Russian regional data within the framework of a log-linear dynamic panel data model. To illustrate the performance of the method, we also report the results of Monte-Carlo simulations

    Regional clusters of innovative activity in Europe: Are social capital and geographical proximity the key determinants?

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    Finding proper policy instruments to promote productivity growth features prominently on the Lisbon agenda and is central in many national as well as European policy debates. In view of the increased mobility of high-skilled workers in Europe, ongoing globalization and increased interregional and international co-operation, location patterns of innovative activity may be subject to drastic changes. A proper understanding of location patterns of innovative outputs can enhance the effectiveness and efficiency of national and European innovation policies. Building on the literature on the knowledge production function the aim of this paper is to explain the observed differences in the production of innovative output across European regions. Our main research question is whether geographical proximity and social capital are important vehicles of knowledge transmission for the production of innovative output in Europe. Several other variables are used to control for structural differences across European regions. We find support for the hypothesis that both social capital and geographical proximity are important factors in explaining the differences in the production of innovative output across European regions

    SOFTWARE PROCESS IMPROVEMENT: AWARENESS, USE, AND BENEFITS IN CANADIAN SOFTWARE DEVELOPMENT FIRMS

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    Since 1982, the software development community has been concerned with the delivery of quality systems. Software process improvement (SPI) is an initiative to avoid the delivery of low quality systems. However, the awareness and adoption of SPI is low. Thus, this study examines the rate of awareness, use, and benefits of SPI initiatives in Canadian software development firms. Using SPSS as the analytical tool, this study found that 59% of Canadian software development firms are aware of SPI programs and 43% of employees use a form of SPI programs to develop software products. Although the sample size is small and the results cannot be generalized, the sample firms that use SPI programs reported an improvement in software product quality as the greatest benefit. These findings confirm the importance of SPI programs as a means of producing higher-quality software products, which can increase the likelihood of software companies winning global contracts

    Proactive e-governance

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