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2024-12-10 政府管理学院组织教师参加“以教育家精神铸魂强师”研究生导师专题培训班
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2024-12-10 青春告白祖国，热血绘就蓝图——政府管理学院成功举办纪念“一二·九”爱国主题朗诵大赛
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2024-12-09 政府管理学院成功举办“大变局背景下的国家和全球治理”学术研讨会
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06 Dec 政府管理学院2023-2024学年本科期末考试监考费公示
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21 Nov 政府管理学院专项工作劳务发放公示
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08 Jul 政府管理学院2024级研究生新生暑期提前培养工作方案
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Liu Weixing, Ma Liang, Wang Xuan, Yi Hongtao | Interlocal Learning Mechanisms and Policy Diffusion: The Case of New Energy Vehicles Finance
Policy diffusion based on learning mechanisms has fascinated political science and public administration scholars for a long time. A robust and growing body of studies have identified the existence and importance of learning mechanisms in policy diffusion. However, there are still some gaps that need to be further improved. First, scholars identify the learning mechanism mainly based on indirect evidence, such as geographical proximity and successful innovation policies adopted by other jurisdictions, which lacking direct and systematic evidence. Second, little is known about how the hierarchical power structure affects the leap from learning behavior to policy adoption. This study provides direct evidence for the promoting effect of intergovernmental learning on policy diffusion by analyzing case of Chinese local financial subsidy policies for new energy vehicles. The empirical results reveal that policy learning in the form of site visits among local governments significantly promotes the policy diffusion, but superior government policy strategy attenuates the influence of interlocal learning on policy diffusion. Also, the initiators and themes of policy learning affect the learning-diffusion linkage, portraying the conditional effects and nuanced dynamics of interlocal policy learning in eliciting policy diffusion.
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Yuhong Yan | Privacy and personal data risk governance for generative artificial intelligence: A Chinese perspective
The rapid development of generative artificial intelligence (AI) has attracted global attention and posed challenges to existing data governance frameworks. The increased technical complexity and expanded scale of data usage not only make it more difficult to regulate AI but also present challenges for the current legal system. This article, which takes ChatGPT’s training data and working principles as a starting point, examines specific privacy risks, data leakage risks, and personal data risks posed by generative AI. It also analyzes the latest practices in privacy and personal data protection in China. This article finds that while China’s governance on privacy and personal data protection takes a macro-micro integration approach and a private-and-public law integration approach, there are shortcomings in the legal system. Given that the current personal data protection system centered on individual control is unsuitable for the modes of data processing by generative AI, and that private law is insufficient in safeguarding data privacy, urgent institutional innovation is needed to achieve the objective of “trustworthy AI.”
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Chengwei Wang | Which survey design can serve as an authentic citizen satisfaction measurement? A cross-survey comparison
A considerable amount of literature has been published on increasing citizens’ satisfaction through satisfaction surveys. However, we know little about how to find the optimal design for a citizen satisfaction survey. Borrowing insights from dual-process theory, the study examines the effects of citizen satisfaction survey design on respondents’ effort and reported satisfaction. A fully randomized 23 between-subjects factorial experiment revealed a positive relationship between the number of anchors and the cognitive effort, while the effect of survey length is negative. Additionally, an increasing number of anchors will decrease the cognitive bias of participants. This study underscores the critical role of dual-process theory in understanding citizens’ evaluations and offers practical implications for survey design.
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Qing Liu，Ruosi Lu，Stephen Teng Sun，Meng Zhang | Unintended workplace safety consequences of minimum wages
We investigate the unintended impact of minimum wage increases on workplace safety. Using establishment-level data from the United States and a cohort-based stacked difference-in-differences design, we find that large increases in minimum wages have significant adverse effects on workplace safety. Our findings indicate that, on average, a large minimum wage increase results in a 4.6 percent increase in the total case rate. Event study estimates show that this adverse effect persists in the medium run. Furthermore, we find a more salient effect for firms more likely to be financially constrained or subject to a higher labor market rigidity in firing workers. We provide suggestive evidence that small minimum wage increases might reduce injury rates, highlighting the potential heterogeneity in the impact of minimum wage changes. We do not find evidence that capital-labor substitution could be behind the findings.
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政府管理学院举办“中外文数据库检索与利用”专题讲座——Explore Various Potential Sources of Data在对外经济贸易大学来华留学生教育70周年与政府管理学院50周年院庆之际，2024年11月28日，政府管理学院面向硕博留学生学术能力提升，举办了主题为“Explore Various Potential Sources of Data”的学术讲座。此次讲座是推进来华留学生高质量发展实施方案专题系列讲座的重要一环。 -
政府管理学院举办博士论文答辩专题讲座2024 年，学院喜逢五十周年校庆盛事，与此同时，对外经济贸易大学留学生教育也荣耀地走过了七十载光辉历程。值此双重庆典之际，为进一步强化中外学生趋同化管理，全力助推学子学术成长，2024 年 11 月 21 日下午，学院特别邀请了埃塞俄比亚学者、对外经济贸易大学深圳研究院研究员 Engidaw Abriham Ebabu 博士，为大家带来一场专题讲座，其主题为 “Preparing an Effective Dissertation: Ensuring Success through the Review Process”。 -
政府管理学院2024级来华硕博留学生“文化月”活动暨校史馆探访为庆祝贸大来华留学生教育开展70周年，10月11日，对外经济贸易大学政府管理学院博士留学生师生一行13人，在校史馆进行了一次深刻的文化探索之旅。留学生们不仅深入了解了中国贸易的发展历程，也亲身体验了贸大的独特魅力和深厚文化底蕴，标志着政府管理学院2024级来华硕博留学生“文化月”的正式开幕。 -
“中韩公共管理学术论坛·2024”成功举办2024年7月20日，在对外经济贸易大学迎来来华留学教育70周年、政府管理学院建院50周年之际，政府管理学院在行政楼222室成功举办“中韩公共管理学术论坛·2024”。此次论坛，学院邀请到韩国国立济州大学师生代表，共同探讨和交流公共管理领域的最新研究成果和实践经验。论坛的核心目标是通过深入的学术交流，促进双方在公共管理领域的合作，提升中外留学生的趋同化管理水平，提高中韩硕博研究生的学术素养和研究能力。