Advocacy for knowledge sharing (KS) is increasing as it can improve novelty and agility in policy development and service delivery. To determine the combination of factors that best contributes to high-quality government-citizen KS, this study adopts necessary condition analysis (NCA) and a...

We extend previous research on factors related to workers stating that they would never retire, by analyzing the impact of financial knowledge variables on the expectation. The never retire rate is related to objective financial knowledge, with a 20% rate for those who missed all questions,...

Purpose - The authors enrich and extend the existing institutional anomie theory (IAT) in the hope of sharpening the understanding of the joint effects of selected cultural values and social institutional changes on women's pre-entrant entrepreneurial attempts. The authors theorize that women...

This study investigates the competitive strategies of the international Big 4 audit firms when faced with regional competition from the local Big 6 audit firms. We find that for the Big 4, competition reduces their audit fee premiums and forces them to recruit high-risk clients, while does not...

Purpose - This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing constraints, low-quality accounting information or less tangible assets. Design/methodology/approach -...

Abstract Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging. In addition, for clustered...

Abstract The problem of missingness in observational data is ubiquitous. When the confounders are missing at random, multiple imputation is commonly used; however, the method requires congeniality conditions for valid inferences, which may not be satisfied when estimating average causal treatment...

Abstract In the presence of heterogeneity between the randomized controlled trial (RCT) participants and the target population, evaluating the treatment effect solely based on the RCT often leads to biased quantification of the real-world treatment effect. To address the problem of lack of...

The rapid growth of China's financial technology has had a significant impact on businesses. The study of the relationship between macrofinancial technology and microbusinesses has important theoretical and practical implications. We empirically examined the relationship between FinTech,...