Technology Foresight Research on China’s Environmental Engineering Science and Technology to 2035

Zhigang Dan, Feifei Shi, Zhizeng Wang, Huieng Wang, Peilei Zhang, Jiming Hao, Ning Duan

Strategic Study of CAE ›› 2017, Vol. 19 ›› Issue (1) : 80-86.

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Strategic Study of CAE ›› 2017, Vol. 19 ›› Issue (1) : 80-86. DOI: 10.15302/J-SSCAE-2017.01.012
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Technology Foresight Research on China’s Environmental Engineering Science and Technology to 2035

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Abstract

The Delphi method is the most common method of technology foresight, which is a significant basis for establishing development strategies and policies of science and technology. This study proposes 45 alternative technologies in the field of environmental engineering science and technology through a literature survey, experts' advice, and discussion meetings. These technologies relate to air pollution prevention and control; water pollution prevention and control; soil pollution prevention and control; solid waste pollution prevention, control, and utilization; ecological protection and restoration; environmental monitoring, early warning, and risk control; resource utilization and cleaner production. Based on results that were obtained according to the Delphi method, this research analyzes the realization time, R&D level, and restriction factors for the key technologies, common technologies, and disruptive technologies that were determined for 2035. This study provides a reference for establishing development strategies and objectives for China’s environmental engineering science and technology over the next 20 years.

Keywords

environmental engineering science and technology / technology foresight / Delphi method / key technology / common technology / disruptive technology

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Zhigang Dan, Feifei Shi, Zhizeng Wang, Huieng Wang, Peilei Zhang, Jiming Hao, Ning Duan. Technology Foresight Research on China’s Environmental Engineering Science and Technology to 2035. Strategic Study of CAE, 2017, 19(1): 80‒86 https://doi.org/10.15302/J-SSCAE-2017.01.012

References

[1]
Ben R M. Matching social needs and technological capabilities: Research foresight and the implications for social sciences (paper presented at the OECD workshop on social sciences and innova-tion) [Z]. Tokyo: United Nations University, 2000.
[2]
袁志彬, 穆荣平, 陈锋. 中国未来20 年资源与环境技术预见研究[J]. 中国人口 · 资源与环境, 2008, 18 (6): 157–161.
[3]
中国未来20 年技术预见研究组. 中国未来20 年技术预见 [M]. 北京: 科学出版社, 2008.
[4]
陈德棉, 申期. 科学技术评估和预测引论 [M]. 合肥: 安徽科学技术出版社, 1996.
[5]
Linstone H A, Turoff M. The Delphi method-techniques and appli-cations [M]. New York: Addison -Wesley, 2001.
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