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The Balance of Individual and Infrastructure Values in Decisions Regarding Advanced Science and Technology

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  • Shunichi Hienuki

    (Center for Creation of Symbiosis Society with Risk, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan)

  • Kazuhiko Noguchi

    (Center for Creation of Symbiosis Society with Risk, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan)

  • Tadahiro Shibutani

    (Center for Creation of Symbiosis Society with Risk, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan)

  • Takahiro Saigo

    (Mitsubishi Research Institute, Inc., 2-10-3, Nagatacho, Chiyoda-ku, Tokyo 100-8141, Japan)

  • Atsumi Miyake

    (Institute of Advanced Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan)

Abstract

A country’s scientific technology policy rarely reflects public opinion. In this study, we created a hierarchical model of societal well-being, comprising five value components for both individual and infrastructure well-being, to analyze the balance among these values. We conducted a survey in two stages; first, both individual and infrastructure well-being were investigated, and then the weights between pairs of value categories composing individual and infrastructure well-being were scored to assess which categories were most important. The analysis of the first stage used the score magnitudes, while that of the second stage used the analytic hierarchy process. The results showed that people value individual well-being more than infrastructure well-being. For both types of well-being, values related to the economy and safety were ranked as more important than the other values, but the weights were distributed over all value components. For individual well-being, the most important value category was the one related to safety, while for infrastructure well-being, it was economy. Therefore, people prioritize different values for themselves and for society as a whole. This suggests that when making decisions regarding technology, it is necessary to understand its effects on all fields and consider the balance between the value categories of well-being.

Suggested Citation

  • Shunichi Hienuki & Kazuhiko Noguchi & Tadahiro Shibutani & Takahiro Saigo & Atsumi Miyake, 2019. "The Balance of Individual and Infrastructure Values in Decisions Regarding Advanced Science and Technology," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3385-:d:241084
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    1. Hideyuki Mizobuchi, 2014. "Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 987-1007, September.
    2. Kablan, M. M., 2004. "Decision support for energy conservation promotion:: an analytic hierarchy process approach," Energy Policy, Elsevier, vol. 32(10), pages 1151-1158, July.
    3. M. Marković & S. Zdravković & M. Mitrović & A. Radojičić, 2016. "An Iterative Multivariate Post Hoc I-Distance Approach in Evaluating OECD Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 1-19, March.
    4. Assefa, G. & Frostell, B., 2007. "Social sustainability and social acceptance in technology assessment: A case study of energy technologies," Technology in Society, Elsevier, vol. 29(1), pages 63-78.
    5. Jan Lorenz & Christoph Brauer & Dirk Lorenz, 2017. "Rank-Optimal Weighting or “How to be Best in the OECD Better Life Index?”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 75-92, October.
    6. Felicia Huppert & Timothy So, 2013. "Erratum to: Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(3), pages 1245-1246, February.
    7. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    8. Rosso, M. & Bottero, M. & Pomarico, S. & La Ferlita, S. & Comino, E., 2014. "Integrating multicriteria evaluation and stakeholders analysis for assessing hydropower projects," Energy Policy, Elsevier, vol. 67(C), pages 870-881.
    9. Ahmad, Salman & Tahar, Razman Mat, 2014. "Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia," Renewable Energy, Elsevier, vol. 63(C), pages 458-466.
    10. Helliwell, John F., 2003. "How's life? Combining individual and national variables to explain subjective well-being," Economic Modelling, Elsevier, vol. 20(2), pages 331-360, March.
    11. Tajda Potrč Obrecht & Roman Kunič & Sabina Jordan & Mateja Dovjak, 2019. "Comparison of Health and Well-Being Aspects in Building Certification Schemes," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    12. Felicia Huppert & Timothy So, 2013. "Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(3), pages 837-861, February.
    13. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    14. Stein, Eric W., 2013. "A comprehensive multi-criteria model to rank electric energy production technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 640-654.
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    Cited by:

    1. Shunichi Hienuki & Yoshie Hirayama & Tadahiro Shibutani & Junji Sakamoto & Jo Nakayama & Atsumi Miyake, 2019. "How Knowledge about or Experience with Hydrogen Fueling Stations Improves Their Public Acceptance," Sustainability, MDPI, vol. 11(22), pages 1-12, November.
    2. Zsuzsanna Katalin Szabo & Zsombor Szádoczki & Sándor Bozóki & Gabriela C. Stănciulescu & Dalma Szabo, 2021. "An Analytic Hierarchy Process Approach for Prioritisation of Strategic Objectives of Sustainable Development," Sustainability, MDPI, vol. 13(4), pages 1-26, February.

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