Part of "Deliberative Approaches to Inclusive Governance: An Essay Series Part of the Democratic Legitimacy for AI Initiative," produced by the Centre for Media, Technology and Democracy.
This paper examines how power lawyers shape judicial and economic outcomes by studying the “revolving door” between judges and lawyers in China’s judicial system—namely, former judges who quit the bench to practice law. In otherwise identical lawsuits, revolving-door lawyers deliver 8−23% higher win rate for their clients. Their performance in home versus away courts suggests these gains stem from both “know how” and “know who.” We extend the theoretical framework of Dewatripont and Tirole (1999) to show that revolving-door lawyers create countervailing forces in society: they enhance judicial decision-making through evidence and reasoning, but also exploit strategic arguments and connections to bias outcomes in favor of their clients. We estimate a structural model of the judicial process to quantify these trade-offs and find that increasing the supply of power lawyers can have a non-monotonic effect on equilibrium judicial quality.
Federal IT is a worthy target for Musk and his team of efficiency hackers. It’s overpriced with various estimates pegging the government’s costs at two to four.
Policy experiments are crucial for fostering innovation and mitigating risks and can serve as catalysts for transformative changes. This study investigates the governance of policy experiments in China, focusing on how political factors shape their outcomes. It emphasizes the need to consider concurrent trials—related policy trials implemented simultaneously in a locality that can influence outcomes—when selecting comparable cases for analysis. Such consideration is critical, especially when the policy issue spans multiple sectors and the level of difficulty differs across sectors. By comparing five cities engaged in the same three decarbonization pilots between 2010 and 2015, Hangzhou and Xiamen are identified to have had similar initial conditions and goals but achieved divergent outcomes. This research uncovers the critical role of political leadership in achieving varying levels of decarbonization progress and identifies policy coherence with broader local priorities to be the key explanation for continued leadership attention and efforts devoted to decarbonization despite turnover. The study contributes to the literature by addressing the under-studied impact of political factors and concurrent trials, offering a replicable procedure for future research and practical policy applications.
The effects of psychological factors on complementary feeding behavior have been widely described, yet the mechanisms underlying the complex relationships among personality traits, self-efficacy, and complementary feeding behavior remain unclear. This cross-sectional study was conducted using a multi-stage cluster sampling process to select caregiver-child dyads in Western rural China. Personality traits, self-efficacy, and complementary feeding behavior were evaluated respectively. Both multiple logistic regression and Bayesian network structure (BNs) were used to explore these associations. A total of 787 caregiver-child dyads were enrolled. Results from multiple logistic regression indicated that caregivers with medium (OR = 2.05, p < 0.001) or high (OR = 1.58, p = 0.04) levels of extraversion, as well as those with high self-efficacy recording complementary feeding (OR = 2.08, p < 0.001), significantly increased the likelihood of meeting the criteria for the Infant and Child Feeding Index (ICFI) qualification. Further, BNs were employed to elucidate the pathways of influence, revealing a direct association between the caregiver's level of extraversion, level of self-efficacy and the ICFI. Additionally, the analysis indicated that a caregiver's openness indirectly influenced the ICFI through its influence on self-efficacy regarding complementary feeding. This is one of few studies exploring associations between personality traits, self-efficacy, and complementary feeding behavior. The study highlights the importance of understanding individual differences in caregiving and suggests that interventions should focus on enhancing caregivers' self-efficacy, rather than solely targeting personality traits.
This paper examines whether education can play a role in mitigating gender inequality in the process of sectoral reallocation of labour. We exploit the exogenous variations in educational attainment induced by the implementation of the 1986 Compulsory Education Law (CEL) in China. Using data from the 2018 wave of the China Family Panel Studies (CFPS) and a cohort difference-in-differences (DID) approach, we find that the CEL narrowed the gender gap in education for rural residents, but it did not reduce gender inequality in labour market outcomes, such as wage labour participation and wage rate. Our analysis reveals that this persistent inequality in labour market outcomes can be attributed to gender differences in migration and occupational choices. Specifically, rural males exposed to the CEL were more likely to migrate outside local provinces and work in low-skilled manufacturing sectors, while rural females tended to stay within local counties and work in low-skilled service sectors. Furthermore, we provide evidence that their differential migration responses are driven by household labour divisions and social gender norms, rather than disparities in cognitive skills.
