夫妻共同持股、公司治理与家族企业社会责任

婚姻和家庭关系可以通过家庭成员的嵌入而深刻影响家族企业的公司治理及战略决策。文章采用手工搜集的2010-2018年中国A股上市家族企业实际控制人及其配偶持股数据，检验了夫妻共同持股的治理模式对家族企业社会责任的影响。结果发现：相比丈夫单独持股企业，夫妻共同持股家族企业的社会责任表现更差，其CSR总得分与CSR评级均显著更低。机制检验表明，夫妻共同持股时，双方家族成员会更多的介入企业经营治理并担任董监高职务、企业内部控制质量更差、大股东利益侵占更加严重，低效的公司治理水平抑制了家族企业的社会责任表现。文章结论在采用工具变量法、PSM、安慰剂检验、实际控制人婚变等一系列稳健性检验后仍然成立。文章研究表明女性“她力量”未能在家族企业社会责任领域发挥决定性作用。     

Improving risk classification and ratemaking using mixture-of-experts models with random effects

In the underwriting and pricing of nonlife insurance products, it is essential for the insurer to utilize both policyholder information and claim history to ensure profitability and proper risk management. In this paper, we apply a flexible regression model with random effects, called the Mixed Logit-weighted Reduced Mixture-of-Experts, which leverages both policyholder information and their claim history, to categorize policyholders into groups with similar risk profiles, and to determine a premium that accurately captures the unobserved risks. Estimates of model parameters and the posterior distribution of random effects can be obtained by a stochastic variational algorithm, which is numerically efficient and scalable to large insurance portfolios. Our proposed framework is shown to outperform the classical benchmark models (Logistic and Lognormal GL(M)M) in terms of goodness-of-fit to data, while offering intuitive and interpretable characterization of policyholders' risk profiles to adequately reflect their claim history.