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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

Internet, employment, double helix structure, data-information-intelligence-solution (DIIS), mechanism-impact-policy-solution (MIPS)

Document Type

Application and Empirical Analysis of Think Tank Double Helix Methodology

Abstract

With the world-renowned development and proliferation of the Internet in China, we have seen the dawning of the IoE (Internet of everything) era, where there will be significant permeation into all corners of society. The new formats as Internet economy and digital economy become the new momentum for economic growth, and it will have profound impact on the demand for skills, which is considerably high on the agenda of social research. Accordingly, we need to grasp the law of development, have insight of trends, make predictions and give policy response. This study proposes to build a new think tank research system on employment in the Internet age, based on the Think Tank Double Helix Methodology. First of all, the necessity of constructing a new think tank research system on employment is expounded with theory and methodology. Then, this study summarizes the key elements to build a new think tank research system on employment from the perspective of research links and logic, based on the "Six Transitions" of the Think Tank Double Helix Methodology. Finally, we consider and explain the relationship between think tank research and academic research, furthermore, this forms academic and practical think tank research system by building up a connection between those two.

First page

765

Last Page

772

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 潘教峰. 智库研究的双螺旋结构. 中国科学院院刊. 2020, 35(7):907-916.

Pan J F. Double helix structure of think tank research. Bulletin of Chinese Academy of Sciences, 2020, 35(7):907-916. (in Chinese)

2 潘教峰. 智库DIIS理论方法. 北京:科学出版社, 2019.

Pan J F. DIIS Theory and Methodology in Think Tanks. Beijing:Science Press, 2019. (in Chinese)

3 潘教峰, 张凤, 鲁晓. 促进智库研究的"六个转变". 中国科学院院刊. 2021, 36(10):1226-1234.

Pan J F, Zhang F, Lu X. Promoting "Six Transitions" in think tank research. Bulletin of Chinese Academy of Sciences, 2021, 36(10):1226-1234. (in Chinese)

4 潘教峰, 杨国梁, 刘慧辉. 多规模智库问题DIIS理论方法. 中国科学院院刊. 2019, 34(7):785-796.

Pan J F, Yang G L, Liu H. DIIS theory and methodology for multi-scale think tank issues. Bulletin of Chinese Academy of Sciences, 2019, 34(7):785-796. (in Chinese)

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Xie M, Xia Y, Pan J F, et al. Artificial intelligence, technological change and low-skill employment-Empirical evidence from Chinese manufacturing firms. Chinese Journal of Management Science, 2020, 28(12):58-68. (in Chinese)

6 Xie M, Ding L, Xia Y, et al. Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms. Economic Modelling. 2021, 96:295-309.

7 Acemoglu D, Restrepo P. Low-skill and high-skill automation. Journal of Human Capital, 2018, 12(2):204-232.

8 夏炎, 王会娟, 张凤, 等. 数字经济对中国经济增长和非农就业影响研究——基于投入占用产出模型. 中国科学院院刊, 2018, 33(7):707-716.

Xia Y, Wang H J, Zhang F, et al. Impact of digital economy on China's economic and non-agricultural employment-based on input-occupancy-output model. Bulletin of Chinese Academy of Sciences, 2018, 33(7):707-716. (in Chinese)

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