Figure 4-29. Biomass    use in the different global energy scenarios, (range of different studies). Source: Dornburg et al., 2008. 
        should not be    underestimated. Obviously, transporting bio-energy across the world would    become a major new challenge as well. 
               While there is controversy on the size    of the effect, major bioenergy use certainly affects environmental resources    (e.g., water, land and biodiversity). Therefore, it is very important to understand    and quantify the impacts and performance of bioenergy systems for    determining how successful the use of biomass for energy (and materials) is,    how the benefits of biomass use can be optimized and how negative impacts can    be avoided. 
      4.4.5.5    Most important implications forAKST 
        Large scale    use of bioenergy could transform the agricultural system into a net producer    of energy. As indicated in latter parts of this assessment, the potential of    bioenergy is such that it requires data and information tools for decision    making based on solid technical, social and economic knowledge. The intrinsic    interdisciplinary character of bioenergy means that implications for AKST    will encompass areas as varied as agricultural and energy policies, natural    resources and biodiversity protection and rural development. Interaction    between the agricultural sector and the energy, environment and industrial    sectors as well as sustainability protocols will be vital for successful    bioenergy use. From the overall bioenergy chain point of view, it is    important to monitor and further improve systems with respect to (1)    implications for soil and water; (2) supply of agricultural inputs    (fertilizer, fuel, machinery); (3) increasing overall efficiency and (4)    minimizing effects on biodiversity. 
      4.4.6    Labor 
      4.4.6.1    Trends in employment of labor in agriculture 
        Hardly any    information on labor projections is found in the currently published scenario    studies. Therefore, historical trends are used here to assess future trends.    Over the last 10 years, there has been a global decline in the relative share    of employment in agriculture: from 46% in 1994 to 43% in 2004. However,    agriculture continued to be the largest  | 
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    source of    employment (around 60%) in sub-Saharan Africa, South Asia and East Asia. At the same time, the share of agriculture    in total employment in developed countries is small: only 4% in 2004 and    likely to decline further. As the trends observed above (both in time—and    across regions) are global, they are projected to continue, leading to ever    lower numbers employed in agriculture. This decline underlies many of the    economic projections of future scenarios. The share of agriculture in total    employment will decrease dramatically in developing countries and decline    more slowly in industrialized countries. 
        4.4.6.2    Labor productivity in agriculture 
          Future trends    in labor productivity are expected to increase, based on the evidence over    the past decade. Labor productivity in the world increased by almost 11 %    over the past ten years (ILO, 2005). This increase was primarily driven by    the impressive growth in labor productivity in Asia    and the industrialized economies. The transition economies have also    contributed to the world's recent growth in productivity. The Latin America    and the Caribbean realized productivity    increase of just over 1% over 10 years, mainly due to the economic crisis in    the beginning of the century. There were no changes in the Middle East and    North Africa, while sub-Saharan Africa    experienced declining productivity on average.      Similar trends in future productivity    are anticipated. Based on historical data for 71 countries from 1980 to 2001,    agricultural GDP per worker in sub-Saharan Africa on average grew at a rate    of 1.6% per year slower than for countries in Asia, Latin America, the    transition economies and the Mediterranean countries (Gardner, 2005). Agricultural GDP per    laborer and national GDP were positively correlated based on data for 85    countries for 1960-2001. Within each of the regional grouping (Africa, Asia,    and Latin America), the countries that grew fastest in national GDP per    capita also grew fastest in agricultural GDP per worker, with a few notable    exceptions, e.g., Brazil (Gardner, 2005; ILO, 2005). Levels of productivity    in Latin America are the highest in the developing world, followed by the    Middle East and North Africa and the    transition economies. East Asia, South Asia and sub-Saharan Africa,    where the majority of the poor live, have considerably lower average labor    productivity (World Bank, 2004a). 
               An increase in agricultural labor    productivity has a more significant direct effect on poverty reduction than    increases in total factor productivity (ILO, 2005) and there are indirect    effects on poverty from changes in food production and food prices (Dev,    1988; ILO, 2005).      Productivity    gains can lead to job losses, but productivity gains also lead to employment    creation, since technology also creates new products and new processes;    hence, the increasing trends in productivity could lead to expanded    employment in other sectors such as information and communications  technologies   (ILO,      2005).There  will   be      a critical need to provide adjustment strategies (financial assistance    and retraining) for displaced workers and to ensure growth in the    long-term.      While in the short run,    increased productivity might affect growth of employment in agriculture    adversely, this outcome may not hold in the long run. Economic history shows  |