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A Systematic Initial Study of Civic Scientific Literacy in China: Cross-National Comparable Results from Scientific Cognition to Sustainable Literacy

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  • Sheng Wu

    (School of Mathematical Sciences, Faculty of Science, Zhejiang University, 4/F, Teaching Bldg. 1138 Zheda Road, Hangzhou 310027, Zhejiang, China)

  • Yi Zhang

    (School of Mathematical Sciences, Faculty of Science, Zhejiang University, 4/F, Teaching Bldg. 1138 Zheda Road, Hangzhou 310027, Zhejiang, China)

  • Zheng-Yun Zhuang

    (Department of Civil Engineering, College of Engineering, National Kaohsiung University of Science and Technology, 5/F, Civil Engr. Bldg. 1415 Jiangong Road, Sanmin Dist., Kaohsiung 80778, Taiwan
    Laboratorio de Pesquisa do Centro de Processamento de Dados, Faculty of Science and Technology, Universidade de Macau, G001, Bldg. N21, Avenida da Vitoria, Ilha da Montanha, Macau SAR, China)

Abstract

Civic scientific literacy (CSL) is an important factor for the development of any country, and this is especially true for a country which is under development and at the same time pursues sustainability. In this article, we conduct the firstly systematic study of CSL in China based on survey data in 2013. Under the multi-dimension CSL framework and by using item response theory, we assess the CSL level in China, which can be fairly compared with that in U.S. and Europe (US-EU). The comparable survey results provided a number of implicational findings: for example, the status of CSL of China in 2013 would have ranked as middling and poor compared to the CSL results for the various US-EU countries in 1995 and 2005, respectively. Some group-based analyses were also conducted to show how people’s attitudes to the environment and socio-environmental behaviours correlate with the CSL-qualified rate in China. The empirical results provided by this study not only can serve as references for improving CSL in China or other emerging countries that also address the sustainability issues during development, but could also serve as indicators for future studies (e.g., in causational modelling).

Suggested Citation

  • Sheng Wu & Yi Zhang & Zheng-Yun Zhuang, 2018. "A Systematic Initial Study of Civic Scientific Literacy in China: Cross-National Comparable Results from Scientific Cognition to Sustainable Literacy," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3129-:d:167298
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    1. CHEN Shiyi, 2009. "Engine or drag: Can high energy consumption and CO2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 4(4), pages 548-571, December.
    2. Hocine, Amine, 2018. "Meta goal programing approach for solving multi-criteria de Novo programing problemAuthor-Name: Zhuang, Zheng-Yun," European Journal of Operational Research, Elsevier, vol. 265(1), pages 228-238.
    3. Kristensen, Nicolai & Johansson, Edvard, 2008. "New evidence on cross-country differences in job satisfaction using anchoring vignettes," Labour Economics, Elsevier, vol. 15(1), pages 96-117, February.
    4. King, Gary & Murray, Christopher J. L. & Salomon, Joshua A. & Tandon, Ajay, 2003. "Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research," American Political Science Review, Cambridge University Press, vol. 97(4), pages 567-583, November.
    5. Li-Pin Chi & Zheng-Yun Zhuang & Chen-Hua Fu & Jen-Hung Huang, 2018. "A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product," Sustainability, MDPI, vol. 10(8), pages 1-37, August.
    6. King, Gary & Wand, Jonathan, 2007. "Comparing Incomparable Survey Responses: Evaluating and Selecting Anchoring Vignettes," Political Analysis, Cambridge University Press, vol. 15(1), pages 46-66, January.
    7. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
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    Cited by:

    1. Zheng-Yun Zhuang & Chi-Kit Ho & Paul Juinn Bing Tan & Jia-Ming Ying & Jin-Hua Chen, 2020. "The Optimal Setting of A/B Exam Papers without Item Pools: A Hybrid Approach of IRT and BGP," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    2. Teen-Hang Meen & Charles Tijus & Jui-Che Tu, 2019. "Selected Papers from the Eurasian Conference on Educational Innovation 2019," Sustainability, MDPI, vol. 11(23), pages 1-12, December.

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