Evaluating the distributional consequences of science and technology policies and programs
Most research evaluation has studied the process of innovation, not its outcomes in the wider society. Measurement of socioeconomic outcomes has focused on economic growth itself, rather than sustainable growth. The distributional consequences of S&T programs have been neglected. The authors of this article seek ways to design and evaluate S&T policies so that they reduce rather than increase inequalities. They present a framework for strengthening the use of research results through public institutions to spread benefits more widely. Copyright , Beech Tree Publishing.
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Volume (Year): 11 (2002)
Issue (Month): 2 (August)
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