Who Benefits from Training and R&D,the Firm or the Workers?

The present paper offers a novel study of the effects of intangible assets on wages and productivity. Training, R&D and physical capital are all taken into account, and their joint effects are examined. We use panels of firms in order to control for unobserved fixed effects and the potential endogeneity of training and R&D, using data for France and Sweden. The estimation of productivity and wage equations allows us to show how the benefits of investment in physical capital, training and R&D are shared between the firm and the workers. We found that firms indeed obtain the largest part of the returns to their investments, but their share is relatively lower for intangible assets (R&D and training) than for physical capital.     

Vision 2023: Turkey's national Technology Foresight Program: A contextualist analysis and discussion

Likewise many other developed and developing countries, a national Technology Foresight Program was carried out in Turkey under the name of Vision 2023. This paper analyzes and discusses the Vision 2023 Technology Foresight Program from a contextualist perspective. The contextualist perspective suggests relationships between the context, content and process of change; and thus proposes that any change activity should be designed, organized and implemented by considering these relationships. This viewpoint is seen as a necessary condition for the achievement of change in organizations and society. In this respect, the Vision 2023 Program is considered in its own national and organizational contexts by discussing (i) how the factors in these contexts affected particular decisions taken on the content and approaches adopted in the process and (ii) how problems emerged when these relationships were dismissed. Through the analysis, the paper suggests that a Foresight program should be organized, designed and practised by considering the effects of the external contexts (e.g. national, regional and/or corporate contexts) and structural and behavioral factors stemming from these different context levels along with the nature of the issue being worked on, which constitute the content of the exercise.     

Local House Price Effects of Internal Migration in Queensland: Australia's Interstate Migration Capital

We examine the causal impact of internal migration on housing prices across 82 Statistical Areas Level 3 regions in Queensland, Australia from 2014–2019. The primary findings are: (i) an annual increase in the inflow of migrants equal to 1 per cent of a region's initial population leads to a 0.6 to 0.7 per cent annual increase in Queensland's house prices across different empirical specifications; (ii) this effect differs between the Greater Brisbane metropolitan area and Rest of State areas; (iii) migration from New South Wales fails to produce a significant influence on house price growth in Queensland.