  
        Figure 4-1. Women on scientific boards    in EU countries in 2004. Source: adapted from EC, 2006 
  
          Table 4-1. Percentage of female    professors in university faculties (different ranks, all disciplines).  
		  
        
          
            Countrya   | 
            Full professor   | 
            Associate professor   | 
            Assistant professor   | 
            Year   | 
           
          
            Turkey   | 
            21.5   | 
            30.7   | 
            28.0   | 
            1996/7   | 
           
          
            Finland   | 
            18.4   | 
            -   | 
            -   | 
            1998   | 
           
          
            Portugal   | 
            17.0   | 
            36.0   | 
            44.0   | 
            1997   | 
           
          
            France   | 
            13.8   | 
            34.2   | 
            -   | 
            1997/8   | 
           
          
            USA   | 
            13.8   | 
            30.0   | 
            43.1   | 
            1998   | 
           
          
            Spain   | 
            13.2   | 
            34.9   | 
            30.9   | 
            1995/6   | 
           
          
            Canada   | 
            12.0   | 
            -   | 
            -   | 
            1998   | 
           
          
            Norway   | 
            11.7   | 
            27.7   | 
            37.6   | 
            1997   | 
           
          
            Sweden   | 
            11.0   | 
            22.0   | 
            45.0   | 
            1997/8   | 
           
          
            Italy   | 
            11.0   | 
            27.0   | 
            40.0   | 
            1997   | 
           
          
            Greece   | 
            9.5   | 
            20.3   | 
            30.6   | 
            1997/8   | 
           
          
            UK   | 
            8.5   | 
            18.4   | 
            33.3   | 
            1996/7   | 
           
          
            Iceland   | 
            8.0   | 
            22.0   | 
            45.0   | 
            1996   | 
           
          
            Israel   | 
            7.8   | 
            16.0   | 
            30.8   | 
            1996   | 
           
          
            Belgium (Fr.)   | 
            7.0   | 
            7.0   | 
            18.0   | 
            1997   | 
           
          
            Denmark   | 
            7.0   | 
            19.0   | 
            32.0   | 
            1997   | 
           
          
            Ireland   | 
            6.8   | 
            7.5   | 
            16.3   | 
            1997/8   | 
           
          
            Austria   | 
            6.0   | 
            7.0   | 
            12.0   | 
            1999   | 
           
          
            Germany   | 
            5.9   | 
            11.3   | 
            23.8   | 
            1998   | 
           
          
            Switzerland   | 
            5.7   | 
            19.2   | 
            25.6   | 
            1996   | 
           
          
            Belgium (Fl.)   | 
            5.1   | 
            10.0   | 
            13.1   | 
            1998   | 
           
          
            Netherlands   | 
            5.0   | 
            7.0   | 
            20.0   | 
            1998   | 
           
         
        a Figures for Portugal include only academic    staff performing R&D activities. The French-speaking and the    Flemish-speaking parts of Belgium    keep separate statistics. Source: adapted from ETAN, 2000.   | 
       | 
    1995). In turn public science depends on industry for its    instrumentation and research materials. Countries in NAE today spend up to 4%    (Sweden) of their GDP on    research and development (US, 2.7%; EU15, 1.9%; Russian     Federation, 1.2%; Canada, 1.9%) (OECD, 2006a).  
           The increasing    importance of knowledge, innovation and technology development for the    economy together with globalization have made the world economy more dynamic.    Diffusion of knowledge relevant to innovations throughout the economy is extremely    important and here the traditional linear innovation model has shown    weaknesses (Stokes, 1997). The systemic or interactive model of innovation,    currently broadly accepted as a representative picture of how the    innovation-driven economy works, postulates the need for dynamic and flexible    structures and processes (OECD, 2002). While non-economic institutions often    continue to develop along the earlier path (OECD, 2005c), a third generation    of an innovation policy (going beyond the linear and interactive models) is    emerging. It calls attention to the process of accommodation, especially in    the area of governmental science, technology and innovation policy (OECD,    2005a, b and c). This horizontal process requires governments and    institutions to be more flexible and to integrate policy formulation and    implementation among ministries and across other institutional boundaries to    improve coherence. Despite the challenges associated with expanding    knowledge and science policy into a broader innovation policy, there seems to    be both a need and an opportunity for such a change, especially in the    context of sustainable development. Key barriers, based on case studies in    different OECD countries, are lack of recognition of innovation policy as a    key driver of sustainable development, separate "missions" and lack    of understanding of related policies between different ministries (OECD,    2005c). Countries in NAE have faced different obstacles in this context and    have proceeded on this path to different degrees.  
        4.3      General Trends of Paradigms in Societal Context  
      4.3.1 Paradigms in NAE AKST during the first half of the    period  
        During the past century, agriculture in NAE faced two persistent    challenges linked with industrialization: technology development and rising    real wage rates in the non-farm sector. The agricultural sector has    undergone a major economic and social change (see Chapter 2) as it has    adjusted to these forces and become more integrated into the national and    world economies. The wages available in non-farm employment represent an    opportunity cost to farm labor when the two labor markets are integrated.    Before 1933 farm input markets were poorly integrated with non-farm input    markets but by the 1970s they had become well integrated (Huffman, 1996). In    the US,    real manufacturing wage rates rose by a factor of 5 from 1890 to 1990; real    compensation rose faster, by a factor of 7.6. These large increases    represent a powerful force for drawing labor away from agriculture, made on    the other hand possible by, but also causing, labor saving technical change    in agriculture (for opposing views see Hayami and Ruttan, 1971; Busch et al.,    1984; Olmstead and Rhodes, 1994; Huffman, 1998a; Huff-   |