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Structure of Social Attitudes to Science and Technology: National and Individual Determinants

Author

Listed:
  • Alexandra Savelkaeva

    (National Research University Higher School of Economics)

  • Valentina Poliakova

    (National Research University Higher School of Economics)

  • Konstantin Fursov

    (National Research University Higher School of Economics)

Abstract

Attitudes towards science and technology has been drawing the attention of many researchers focusing their search on specific aspects of public understanding of science, measuring risk perception associated with the development and wider dissemination of new technologies, engagement in decision making about controversial research issues. While some authors prefer to focus on the prevalence of particular attitudes towards S&T, trying to explain the differences between countries by variances in their economic development, others search for specific individual factors underpinning their development like values or beliefs. In our paper, we attempt to bring together these perspectives and comprehensively analyze both individual and national factors that define public opinion on S&T by considering the example of the attitude that characterizes optimistic or pessimistic perception. The method of multilevel regression analysis is used for this purpose. It was shown that inclusion into the model both micro and macro-level indicators is helpful to explain the differences between countries and allow us to better understand the “pure effects” of certain social determinants of public attitudes towards science and technology

Suggested Citation

  • Alexandra Savelkaeva & Valentina Poliakova & Konstantin Fursov, 2015. "Structure of Social Attitudes to Science and Technology: National and Individual Determinants," HSE Working papers WP BRP 52/STI/2015, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:52sti2015
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Science and society; public opinion on S&T; attitudes to S&T; multilevel regression analysis; individual determinants; national determinants.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

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