000			01675cam a2200145 4500
100	1		_aLI Lianjiang
245			_aDecoding political trust in China: _ba machine learning analysis/ _cLianjiang Li
260			_c2022
520			_aSurvey 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.
650			_aPOLITICAL TRUST _xTRUST IN THE CENTRE _xTRUST IN THE CENTRAL GOVERNMENT _xTRUST IN THE LOCAL GOVERNMENT _xMACHINE LEARNING _zCHINA
773			_aThe China Quarterly: _gMarch 2022, No.249, pp.1-20 (17)
598			_aCHINA, POLITICS
856			_uhttps://www.cambridge.org/core/journals/china-quarterly/article/decoding-political-trust-in-china-a-machine-learning-analysis/68800E4EDEB0E4EE58248D7464B82765 _zClick here for full text
945			_i67345.1001 _rY _sY
999			_c41407 _d41407