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 标    题: 城市治理数字化转型中的政府众包应用风险(2023 第2卷 第2期 12)
作       者

刘红波 彭晓清

文章栏目:
智慧城市
摘       要:

推动城市高质量发展是全面推进中国式现代化的必然要求,致力于汇聚利用大众资源的政府众包模式为提高市域社会治理现代化水平提供了新的着力点。本文运用扎根理论方法,以广东省禅城区城市治理众包为例,梳理政府众包在实施过程中所面临的核心风险因素。研究发现:政府众包的实施主要存在四方面风险,一是来自发包方的财政负担、象征性参与、管理混乱等风险,二是来自平台方的数据过载、流程不畅、隐私安全等风险,三是来自接包方的参与不足、参与过量、作弊欺诈等风险,四是来自外部环境的数字鸿沟和权责问题等风险;各风险因素之间存在内在的相互影响关系,其中财政资金是来自政府发包方的最大风险因素,公众作为接包方在参与数量和参与质量方面的不确定性会给政府发包带来影响,来自数字化平台和政策环境的风险会对双边市场的政府和公众主体造成影响。本研究通过因素梳理,提炼出政府众包风险模型,有利于推动政府众包研究的系统化发展,为提升城市治理效能指明改进方向。

关  键  词:

政府众包;城市治理;风险管理;数字治理;数字政府

Abstract: Promoting high-quality urban development is an inevitable requirement for comprehensively promoting Chinese path to modernization. The government crowdsourcing model, which is committed to gathering and utilizing public resources, provides a new focus for improving the modernization level of urban social governance. This paper uses the Grounded theory method, taking the urban governance crowdsourcing in Chancheng District, Guangdong Province as an example to sort out the risk factors faced by government crowdsourcing in the implementation process. Research has found that there are four risks in the implementation of government crowdsourcing: firstly, risks from task giver such as financial burden, symbolic participation, and management chaos; secondly, risks from crowdsourcing platform such as data overload, poor processes, and privacy security; thirdly, risks from problem solvers such as insufficient participation, excessive participation, and cheating; fourthly, risks from the environment such as digital divide and rights and responsibilities issues; There is an internal mutual influence relationship between various risk factors, among which financial funds are the largest risk factor from task giver. The uncertainty of the public as problem solvers in terms of participation quantity and quality will have an impact on task giver, and risks from crowdsourcing platform and policy environment will have an impact on the government and public entities in the bilateral market. This study extracts a government crowdsourcing risk model through factor analysis, which is conducive to promoting the systematic development of government crowdsourcing research and providing improvement directions for improving regional governance efficiency.
Keywords:

Government Crowdsourcing; Urban Governance; Risk Management; Digital Governance; Digital Government

作者简介:

刘红波(通讯作者),华南理工大学公共管理学院副教授,行政管理系主任,Email:paliuhongbo@scut.edu.cn;

彭晓清,华南理工大学公共管理学院硕士研究生,papengxiaoqing@mail.scut.edu.cn。

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