w88 casino News Network (provided by the w88 casino of Government)Recently, the research paper Slowing Down or Adapting to Technological Progress? Robot Replacement Risks and Policy Preferences, co-authored by Associate Professor Ning Jing of the w88 casino of Government, Professor Fan Ziteng of Fudan University, Hong Kong University of Science and Technology, and Professor Jingwei, was published online in Regulation & Governance, an internationally authoritative journal in the field of law and public administration. This article is based on the classic 2×2 scenario survey experimental design of behavioral public management, combined with the policy deservingness theory, to explore the multi-dimensional policy preferences of the Chinese people when faced with the risk of "machine substitution".

In recent years, Associate Professor Ning Jing’s research team has continued to study Chinese-style artificial intelligence governance from multiple theoretical perspectives such as risk expectations, policy feedback, and policy deservingness, based on China’s institutional scenario. During 2021-2024, a total of 4 research papers were published, and 1 National Natural Science Foundation Youth Project and 1 Beijing Teaching Reform and Innovation Project were approved.

[Research Paper]

1.Fan, Z., Ning, J., & He, A. (2024). Slowing Down or Adapting to Technological Progress? Robot Replacement Risks and Policy Preferences,Regulation & Governance, https://doi.org/10.1111/rego.12642, co-author

The relationship between automation risks and policy preferences is receiving increasing attention from the academic community, but existing discussions have shown divergent and even contradictory research results. This study aims to integrate existing research and contribute to the literature by exploring specific contexts in which citizens favor government intervention to reduce the risk of automation and their preferences for specific policy options. Based on the survey experiment design of robot applications in China, the study found that: compared with conventional workplaces, the public is more supportive of government intervention in automation risks in dangerous workplaces; when faced with such risks, the public is more inclined to choose social investment policies such as training projects, rather than tax policies such as robot taxes, control policies such as robot quotas, or compensation policies such as unemployment benefits. Research shows that only when the public believes that the beneficiary groups are "desertable" for social protection, and when relevant policies can balance technological progress and unemployment risks, will they support government policy intervention to reduce the risk of robot substitution.

2.Fan, Z., Ning, J., & He, A. (2022). How Does Automation Risk Shape Social Policy Preference? Employment Insecurity and Policy Feedback Effect in China.Social Policy and Society, https://doi:10.1017/S1474746422000513, co-author

Workplace automation driven by technological innovation is having significant social policy implications. This study refutes the mainstream view that "automation risks will cause employment insecurity and prompt individuals to support redistribution policies", but no relevant empirical evidence was found in the Chinese context. Through the analysis of national survey data, the study found that there is an extremely significant positive correlation between automation risks and people’s preference for the government to assume pension responsibilities. Further analysis shows that a more generous local welfare system will strengthen the association between automation risks and individual support for government intervention in pension security. In welfare systems where the main redistributive policies are not directly related to employment, automation risks may not necessarily trigger citizens’ preferences for short-term immediate protection through redistribution projects. Instead, they may prompt individuals to project their social security needs into mid- and long-term employment-related policies. The generosity of local welfare systems has a moderating effect on the formation of individual social policy preferences through policy feedback effects.

3. Ning Jing, Fan Ziteng*, Technological Change and Demographic Transformation—The Impact of Automation Substitution on Workers’ Willingness to Have a Second Child, "Comparative Economic and Social Systems", Issue 3, 2022, pp. 128-141.

China has entered the ranks of low-birth-rate countries and is in an important transition period for economic and industrial intelligence. This article uses the 2017 CGSS survey data to construct an index reflecting the intensity of routine occupational tasks to characterize the risk of occupational automation substitution faced by workers, and uses binary logistic regression to verify the impact of automation substitution on the willingness to have a second child. The study found that the automation of occupations will inhibit workers’ willingness to have a second child. Compared with the non-routine task group, the routine task group that is more likely to be replaced by automation has a lower willingness to have a second child. The inhibitory effect of automation substitution is more obvious among workers with higher socioeconomic status and smaller housing areas. The above findings enrich the academic community's diverse understanding of the generation mechanism of second-child fertility willingness during the period of intelligent economic and industrial transformation, and expand the application of the classic fertility cost path in the context of technological change.

4. Fan Ziteng, Ning Jing*, Changes in welfare attitudes during technological change: The impact of automation substitution on individual preferences for retirement responsibilities, "Sociological Research", Issue 1, 2021, pp. 160-179.

This article focuses on the replacement of occupational automation in the "machine substitution" movement, and is committed to revealing the formation mechanism of individual retirement responsibility preferences in the context of technological change. The study found that: first, the higher the possibility that individual occupations will be replaced by automation, the greater the preference for the government to assume the responsibility for pensions. Second, automation substitution strengthens individuals’ tendency to expect government support by increasing their risk expectations for the future. Third, the strengthening effect of automation substitution varies in degree among different groups, families and regions. Its strengthening effect is more obvious among high-income groups and groups participating in social pension insurance, as well as families with intergenerational companionship and areas with better public services.

[Scientific Research Project]

5. National Natural Science Foundation of China Youth Project "Artificial Intelligence Policy Narrative and Public Feedback Effect: An Empirical Study Based on Local Government" (72304066)

As a frontier policy field to promote the modernization of national governance, artificial intelligence has a "double-edged sword" effect. Therefore, how local governments “narrate” this emerging technology and gain public support for its promotion and development is crucial. Existing literature mainly studies artificial intelligence from the perspectives of adoption, diffusion and application impact. Few literatures go back to the front-end of the policy process to examine local governments’ artificial intelligence policy narratives. To this end, this project conducts theoretical and empirical research on scientific issues such as measurement methods, influencing factors, feedback effects and intermediary mechanisms of policy narratives. First, we extract the multi-dimensional characteristics of policy narratives, use big data text analysis to measure policy narratives, present the spatiotemporal distribution pattern at the overall level, and analyze the influencing factors of the formation of policy narratives. Secondly, based on the perspective of policy feedback theory, combined with the "robot +" policy scenario, we empirically explore the impact and mechanism of policy narratives on public attitudes and supporting behaviors. This project uniquely introduces the policy feedback perspective and the "big data + survey experiment" method to study artificial intelligence policy narratives, a phenomenon that exists widely but lacks systematic theoretical analysis, and provides policy inspiration and suggestions for promoting the construction of Digital China and the application of artificial intelligence in my country.

[Teaching Reform and Innovation Project]

6. Beijing Undergraduate Teaching Reform and Innovation Project "Teaching Reform and Effect Evaluation of Artificial Intelligence Empowering Ideological and Political Construction of Continuing Education Courses"

With the development of new technologies, artificial intelligence has become an important engine driving a new round of technological revolution. At present, artificial intelligence such as intelligent question and answer robots have been used in continuing education courses in some colleges and universities, which not only improves students' learning effects, but also saves manpower and material resources for continuing education. This topic will take universities in Beijing as an example to explore how artificial intelligence can empower the ideological and political construction of continuing education courses and evaluate its effects. This project plans to evaluate the current ideological and political situation of continuing education courses in Beijing, explore reform measures for the ideological and political construction of continuing education courses powered by artificial intelligence, evaluate their effects, and propose reform strategies for the ideological and political construction of continuing education courses in Beijing.