Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic.
Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic.
复制标题
城市治理中政府的响应能力和公众对大数据技术的接受度：来自中国 COVID-19 大流行期间的证据
DOI：
10.1016/j.cities.2021.103536
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发表时间：
2022-03
期刊：
影响因子：
--
通讯作者：
Liu Z
中科院分区：
文献类型：
--
作者：
Guo Y;Chen J;Liu Z
COVID-19全球大流行为全球国家及城市带来前所未有的挑战。各国政府已采用信息和通信技术（ICT）来快速控制新型冠状病毒的传播。作为一种创新但有争议的基于ICT的工具，健康QR码通过协助快速追踪接触者发挥着至关重要的作用。然而，公民是否以及如何接受这一政策工具仍然是一个未知的理论和经验问题。本文研究了决定市民在城市治理中接受健康二维码的来源。基于一项覆盖中国28个主要省会城市的全国性在线调查，我们发现个人经历和政治身份会影响公民对QR码的接受程度。尽管公众对这一问题的看法各不相同，但政府对公民要求的回应在当前和未来阶段都对提高他们使用QR码的接受度起着至关重要的作用。具体而言，随着市民对城市政府响应水平的感知提高，他们对隐私泄露的担忧程度降低，更有可能感知到健康二维码在改善公共健康方面的有效性，从而导致更高的接受度。研究结果为智慧城市和城市治理提供了广泛的政策含义。
The COVID-19 global pandemic has posed unprecedented challenges to nations and cities worldwide. Governments have adopted Information and Communication Technologies (ICTs) to rapidly control the spread of a novel coronavirus. As an innovative but controversial ICT-based tool, health QR code plays a vital role by assisting rapid contact tracing. Yet, whether and how citizens accept this policy tool remains an unknown theoretical and empirical question. In this paper, we study the sources that determine citizens' acceptance of health QR code in city governance. Based on a nation-wide online survey covering 28 major provincial-capital cities in China, we find that individual experiences and political identities affect citizens' acceptance of QR code. Even though public opinion regarding this issue is diverse, the government's responses to citizens' requests play a critical role in enhancing their acceptance of using QR code both in the current and future stages. Specifically, as the citizens perceive a higher level of city government responsiveness, they are less worried about privacy leaks and more likely to perceive the effectiveness of health QR code in improving public health, thus resulting in a higher acceptance. The results offer broad policy implications for smart cities and urban governance.
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影响因子：
7.3
作者：
DAVIS, FD
通讯作者：
DAVIS, FD
影响因子：
4.2
作者：
Broockman, David E.
通讯作者：
Broockman, David E.
影响因子：
6.7
作者：
Lam, Patrick T. I.;Ma, Ruiqu
通讯作者：
Ma, Ruiqu
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影响因子：
3.3
作者：
Dai, Yixin;Li, Yuejiang;Meng, Tianguang
通讯作者：
Meng, Tianguang
DOI：
10.1073/pnas.2007658117
发表时间：
2020-07-07
影响因子：
11.1
作者：
Bonaccorsi, Giovanni;Pierri, Francesco;Pammolli, Fabio
通讯作者：
Pammolli, Fabio