Analysis of Beijing Tianjin Hebei regional credit system from the perspective of big data credit reporting

Author(s):  
Cheng-yong Liu ◽  
Ling-Jan Chiou ◽  
Cheng-chung Li ◽  
Xiu-Wen Ye
2021 ◽  
Vol 50 (1) ◽  
pp. 39-62
Author(s):  
Christian Göbel ◽  
Jie Li

Why do Chinese governments at various levels set up public complaint websites where citizen petitions and government responses can be reviewed by the general public? We argue that it is the result of two factors: strong signals sent by the central government to improve governance, and the availability of new technologies to promote policy innovation. To impress their superiors, local officials adopted newly available commercial technology to innovate existing citizen feedback systems, which presented a developmental trajectory from “openness,” “integration,” to “big data-driven prediction.” Drawing on policy documents and interviews with local politicians and administrators, we provide a chronological perspective of how technical development, central government’s signals and local decision-making have interacted in the past two decades to bring forth today’s public complaint websites. The contingent and non-teleological nature of this development can also be applied to other policies such as the social credit system.


2020 ◽  
Vol 16 (3) ◽  
pp. 369-387 ◽  
Author(s):  
Abigail Devereaux ◽  
Linan Peng

AbstractIn 2014, the State Council of the Chinese Communist Party announced the institution of a social credit system by 2020, a follow-up to a similar statement on the creation of a social credit system issued by the State Council in 2007. Social credit ratings of the type being developed by the State Council in partnership with Chinese companies go beyond existing financial credit ratings in an attempt to project less-tangible personal characteristics like trustworthiness, criminal tendencies, and group loyalty onto a single scale. The emergence of personal credit ratings is enabled by Big Data, automated decision-making processes, machine learning, and facial recognition technology. It is quite likely that various kinds of personal and social credit ratings shall become reality in the near future. We explore China's version of its social credit system so far, compare the welfare and epistemological qualities of an ecology of personal ratings emanating from polycentric sources versus a social credit rating, and discuss whether a social credit system in an ideologically driven state is less a tool to maximize social welfare through trustworthiness provision and more a method of preventing and punishing deviance from a set of party-held ideological values.


2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Lianrui Jia

Background  China, with a population of 802 million internet users, a handful of the world’s largest internet companies, and an unfolding Social Credit System (SCS), is often criticized for exerting its data power to surveil and discipline its population. Analysis  This article first provides a historical and situated analysis of the SCS as a part of China’s informatization and datafication processes. It then highlights problems in the current legal and regulatory data-protection framework and discusses the self-regulation practices of the private sector. Conclusions and implications  Overall, this case study provides a historical and contextualized understanding of China’s SCS and related big data developments and assesses the implications of these development for the globalizing Chinese internet, technology companies and the Chinese public.Contexte  Avec une population de 802 million d’utilisateurs d’Internet, avec quelques des plus grandes sociétés Internet du monde, et une Système de Crédit Sociale (SCS) en pleine développement, La Chine est souvent critiqué pour utilizer son pouvoir de données pour surveiller et discipliner sa population. Analyse  Tout d’abord, cet article fournit une analyse historique et située de la SCS comme partie des processus de informatisation et datafication de la Chine. Ensuite, il souligne les problèmes du cadre juridique et régulatoire actuel en matière de protection des données et examine les pratiques d’autorégulation du secteur privé.Conclusions et implications  En global, cette étude de cas fournit une compréhension historique et contextualisée du SCS chinois et de l’évolution du Big Data, et évalue les implications de ce développement pour l’Internet chinois en pleine mondialisation, les entreprises technologiques et le public chinois.


2020 ◽  
Vol 2020 (4) ◽  
pp. 89-110
Author(s):  
Mo Chen ◽  
Jens Grossklags

AbstractThe Chinese Social Credit System (SCS), known as the first national digitally-implemented credit rating system, consists of two parallel arms: a government-run and a commercial one. The government-run arm of the SCS, especially efforts to blacklist and redlist individuals and organizations, has attracted significant attention worldwide. In contrast, the commercial part has been less often in the public spotlight except for discussions about Zhima Credit.The commercial arm of the SCS, also referred to as the Consumer Credit Reporting System (CCRS), has been under development for about two decades and took a major step forward in 2015 when 8 companies were granted permission to implement pilot consumer credit reporting programs. This development fundamentally increased the reach and impact of the SCS due to these companies’ sizable customer base and access to vast troves of consumer-related information.In this paper, we first map the Chinese CCRS to understand the actors in the credit reporting ecosystem. Then, we study 13 consumer credit reporting companies to examine how they collect and use personal information. Based on the findings, we discuss the relationship between the CCRS and the SCS including the changes in the power relationships between the government, consumer credit reporting companies and Chinese citizens.


2022 ◽  
pp. 168-186
Author(s):  
Filiz Resuloğlu

2020 has been marked by a ‘once in a century crisis' that influenced the dynamics of the globe deeply. Soon after the COVID-19 pandemic, most daily practices had to be transferred to online platforms as humanity was supposed to adopt social and physical distancing to avoid the risk of infection. Even technologically illiterate people were abruptly charged with online tasks as part of their jobs or responsibilities. It suddenly turned out to be high time to go online and have a digital identity to keep pace with the new normal life. Thus, internet has taken its place among the basic needs more specifically than before. This chapter is about the technology-driven supervisory social credit system which is said to have contributed to Chinese state to manage the COVID-19 crisis in a short time. Exploring the foundations, motives, and highlights of the system, this chapter proposes a framework for a potential digital governance model coined as the Cyber Leviathan and bears importance in terms of crisis management.


2014 ◽  
Vol 989-994 ◽  
pp. 5209-5212
Author(s):  
Shuang Liang Yao ◽  
Shuang Tong Wang

In order to solve the problem of the second class credit reporting in manual states, we use the system flow diagrams and case diagrams to analysis the needs of users, and use ER diagrams to introduce the SQL database。This article designs the system of the second class credit reporting based on the campus network. The system uses C # as the development language, SQL Server database as a background and Microsoft Visual Studio 2010 as the development environment, with high security and stability.


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