• across countries
• R&D
• expenditure
• investment
• patent
• mapping
• sectoral analysis
• growth
• productivity
• innovative patterns

Effects of innovative patterns on productivity growth have been discussed in various perspective in literature. R&D expenditure, gross fixed investment and number of patents, as being part of innovative pattern, are empirically analysed and examined at macro level sector by sector under the framework of this thesis to demonstrate the positive correlation innovative patterns and productivity growth in short and mid-term level. Two-digit sectoral analysis is performed across six countries which are Germany, France, Italy, Spain, United Kingdom and United States. Just before demonstrations of regressions; decomposition of productivity as shift and share analysis is presented for sectors’ within and between effects where within effects overweighs significantly. During the study required data collected from OECD Stan data base where productivity calculated as value added volumes divided by number of total hours worked. Single variable regressions are used for each part each three innovative pattern variables. Each variable is normalized for scaling. In the part of regression analysis, patent classification to industrial classification convergence was required to obtain valid data for sectoral analysis where four-digit IPC to two-digit industrial classification mapping is applied. Finally, three different time range models were applied and repeated for all variables and presented.