This paper is motivated by the aim to develop appropriate indicators capturing modes of innovation by UK enterprises, examine how such innovation practices vary across regions and industries and explore the extent to which they have an impact on productivity. There is an emphasis on identifying and examining the relevance of non-technological i...
In this work we test if persistent innovators, defined according to different innovation activities (R&D, product and process innovation, patenting) grow more than other firms, and if innovation persistence can contribute to explain the so far little evidence in favor of persistence in growth itself. We exploit a somewhat uniquely long-in-time data...
This study explores the potential of the innovation modes, a firm-level taxonomy of innovation behavior, to provide a reasonable treatment for the growing complexity and multidimensionality of company strategies, incentives, and demands. The data on the Russian manufacturing enterprises from two complementary surveys are used to estimate broader features of the firms pursuing particular innovation modes, including the intensity, efficiency, and impact of innovation activities, the importance of factors, hampering the performance and the heterogeneity of demand for the policy support measures. Resulting composition of the firm-level patterns and characteristics brings new facilities for the diagnosis-based policy-making in the field of innovation.
Green growth strategies thus need to be robust, what requires carefully designed tools. One of the prerequisites is the appropriate green growth measurement framework. It should allow discerning the effectiveness of policies in delivering green growth. This is where this paper tries to offer a new angle by searching for appropriate indicators that can capture different aspects of eco-innovation. Eco-innovation can be defined as innovation that results in a reduction of environmental impact. Country data from the 2008 Community Innovation Survey is used in the analysis. Dataset consist of 14 variables on environmental benefits and motivations. The aim of the presented study is to reduce the number of variables into factors to discover which of available variables form coherent subsets. It is argued here that such approach can help to construct appropriate indicators, that can capture different aspects of eco-innovation, that are crucial from the point of view of policy-making and policy evaluation.
The paper explores micro-level innovation survey data and examines the role – vis-à-vis traditional forms of science and technology related activities – which organisational and managerial changes, qualified staff and network capabilities play in determining business performance and the functioning of national systems of innovation. It follows a two-step strategy. First, measures, based on factor scores, of innovation modes are developed and linked to differences in the innovation environments of the OECD countries. Second, the relative importance for firm performance – turnover and value added per capita – of innovation modes (vis-à-vis one another) are tested. A key finding of the paper is that productivity measured by value added per capita is influenced more strongly by non-technological modes of innovation that prioritise internal enhancements to do with organisational and managerial techniques and methods, than it is by improved production processes. Whereas output per capita is relatively more strongly and significantly related to product, process and technology based innovation.