Decoding Political Trust in China: A Machine Learning Analysis
The China Quarterly
; 249:1-20, 2022.
Article
Dans Anglais
| ProQuest Central | ID: covidwho-1805517
ABSTRACT
Survey results inflate political trust in China if the observed trust in the central government is mistaken for the latent trust in the Centre. The target of trust in the country is the Centre, which is ultimately the top leader. The critical issue domain for assessing the Centre's trustworthiness is policy implementation rather than policymaking. The Centre's trustworthiness has two dimensions commitment to good governance and the capacity to discipline local officials. Observed trust in the central government indicates trust in the Centre's commitment, while observed trust in the local government reflects confidence in the Centre's capacity. A machine learning analysis of a national survey reveals how much conventional reading overestimates political trust. At first glance, 85 per cent of the respondents trust the central government. Upon further inspection, 18 per cent have total trust in the Centre, 34 per cent have partial trust and 33 per cent are sceptical.
Political Science; political trust; trust in the Centre; trust in the central government; trust in the local government; machine learning; China; 政治信任; 对中央的信任; 对中央政府的信任; 对地方政府的信任; 机器学习; 中国; Credibility; Politics; Rule of law; Federal government; Policy making; Confidence; Local government; Democracy; COVID-19; Authoritarianism; Learning; Polls & surveys; Academic disciplines; Political leadership; Pandemics; Decision making; Central government; Sovereignty; Respondents; Trust; Policy implementation; Decoding; Governance; Coronaviruses; Mao Zedong (1893-1976); 81394:Political Organizations
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
ProQuest Central
langue:
Anglais
Revue:
The China Quarterly
Année:
2022
Type de document:
Article
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