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IJAT Vol.18 No.6 pp. 747-753
doi: 10.20965/ijat.2024.p0747
(2024)

Research Paper:

Time Framing and SDGs: Can Imaginary Future Generations Alter People’s Perceptions and Attitudes?

Michinori Uwasu*,†, Masashi Kuroda** ORCID Icon, Yukari Fuchigami*** ORCID Icon, and Keishiro Hara*** ORCID Icon

*Graduate School of Economics, Osaka University
1-7 Machikaneyama, Toyonaka, Osaka 560-0043, Japan

Corresponding author

**Faculty of Social and Environmental Studies, Tokoha University
Shizuoka, Japan

***Graduate School of Engineering, Osaka University
Suita, Japan

Received:
March 30, 2024
Accepted:
August 19, 2024
Published:
November 5, 2024
Keywords:
SDGs, imaginary future generation, perception, attitude
Abstract

This study verifies the effectiveness of Imaginary Future Generation (IFG) in promoting the Sustainable Development Goals (SDGs). Using data from an online survey, we calculated sustainable development component measurements to assess the understanding of SDGs and demonstrated whether IFG can influence futurability components. Statistical analysis shows that knowledge significantly impacts people’s attitudes towards SDGs, with informed individuals more likely to cooperate in addressing these issues. Comparing the treatment and control groups revealed that participants asked to envision themselves as residents of 2050 (IFG) better grasped the essence of Agenda 2030 and exhibited more cooperative attitudes toward sustainability. Regression analysis confirmed these effects after controlling for individual attributes and SDG knowledge. The study finds that while raising awareness is crucial, IFG makes people perceive sustainability problems as personal concerns. IFG enhances respondents’ futurability, encouraging positive attitudes and long-term thinking. Additionally, IFG promotes participation, inclusive ideas, and increased SDG knowledge.

Cite this article as:
M. Uwasu, M. Kuroda, Y. Fuchigami, and K. Hara, “Time Framing and SDGs: Can Imaginary Future Generations Alter People’s Perceptions and Attitudes?,” Int. J. Automation Technol., Vol.18 No.6, pp. 747-753, 2024.
Data files:
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Last updated on Dec. 13, 2024