家具企业核心竞争力评价体系研究

在激烈的市场竞争中,企业的核心竞争力成为管理界的研究热潮。在家具市场由卖方市场转为买方市场的今天,对家具企业的核心竞争力进行研究具有一定的现实意义。本文从以客户为中心的角度,将财务绩效融入核心竞争力的评价,构建了家具企业核心竞争力的评价体系。     

企业自主创新的财税政策研究

创新是一个民族进步的灵魂,是一个国家兴旺发达的不竭动力。本文在介绍自主创新概念的基础上分析了企业自主创新需要财税政策支持的必要性;给出了面向企业自主创新的财税政策框架体系;最后,从我国的国情出发提出了四点完善我国财税政策以鼓励企业自主创新的建议。     

制度创新与民营企业竞争力

制度是决定民营企业竞争力的重要因素。从新制度经济学角度看,制约民营企业竞争力的制度问题主要存在于交易费用、产权、制度构成、制度变迁、制度供求均衡等方面。制度创新能促进民营企业竞争力的提高,途径是：清晰企业产权、实行股权多元化、强化资本运作、完善公司法人治理结构、保护知识产权、放松产业准入限制等。     

跨越发展与制度创新

制度是发展的关键因素,跨越发展中的开放先导、结构优化、科技进步都依赖于制度创新。因此,不发达地区要实现跨越式发展,就必须进行大规模的经济、社会改革,完成一系列制度创新的工作和任务。     

深化市场改革是解决“三农”问题的根本途径

两千多年小农经济的传统观念,几十年来计划经济的制度框架和家庭承包责任制的现实因素,综合导致了我国目前农村市场经济制度环境的严重缺失和市场主体的发育不足,要从根本上解决"三农"问题必须深化市场改革,这种改革仅依靠农民自身的力量是难以实现的,必须在理论的指导下,走以强制性变迁入手再与诱致性变迁相结合的路子,有计划、有步骤的推进农村经济的市场化进程.我国农村经济是一个人造的社会系统,要实现其结构优化,只能通过社会实践和人工选择的途径,不可能由系统的自我进化来完成.     

关注调整中的国际货币体制权力结构

国际货币体系始终处于动荡之中,关键货币之间汇率冲突不断,导致这种状况的主要根源是美元危机。美元面临多方面挑战。美元体制基础弱化的征兆越来越明显。国际主导货币之间的竞争呈现新的特点。我国应注意发挥人民币潜在功能,完善外汇政策体系,维护金融稳定,在人民币国际化问题上宜立足于"不急不躁"战略。     

新型农村合作医疗的运行效率、筹资与基层政府行为

现阶段新型农村合作医疗制度试点的重点之一是如何在公平与效率之间找到新的均衡。这项制度在农村稳步推开,缓解了医疗服务中长期存在的公平效率问题。但自该项制度实施以来.调查点居民卫生可及性公平仍有待改善,筹资存在垂直不公平问题,卫生服务利用公平性有所增强,但改进余地很大。资源配置效率有所提高,但并不明显;医疗机构间缺乏竞争,成本软约束导致医疗机构低效率运行。因此新农合制度实施过程中的公平性,还有待政府进一步改善,同时以公平为前提,提高资源配置和服务效率。     

Dynamical macroprudential stress testing using network theory

The increasing frequency and scope of financial crises have made global financial stability one of the major concerns of economic policy and decision makers. This has led to the understanding that financial and banking supervision has to be thought of as a systemic task, focusing on the interdependent relations among the institutions. Using network theory, we develop a dynamic model that uses a bipartite network of banks and their assets to analyze the system’s sensitivity to external shocks in individual asset classes and to evaluate the presence of features underlying the system that could lead to contagion. As a case study, we apply the model to stress test the Venezuelan banking system from 1998 to 2013. The introduced model was able to capture monthly changes in the structure of the system and the sensitivity of bank portfolios to different external shock scenarios and to identify systemic vulnerabilities and their time evolution. The model provides new tools for policy makers and supervision agencies to use for macroprudential dynamical stress testing.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.     

Informed trading around earnings and mutual fund alphas

We examine whether informed trading around earnings announcements drives mutual fund performance. The measure is motivated by prior studies arguing that a mutual fund is skilled if it buys stocks with subsequent high earnings announcement returns. We find that this measure predicts future mutual fund returns. On average, after adjusting for Carhart’s four risk factors, the top decile of mutual funds outperforms the bottom decile by 44 basis points per quarter. By decomposing fund alphas into two components in their relations to earnings, we find that this measure is only associated with earnings-related fund alphas. This measure can also be used to predict stock returns at future earnings announcements.