Human resource management: when research confronts theory

Research exploring the relationship between human resource management (HRM) and outcomes such as corporate performance encounters a range of significant practical difficulties. Using two surveys as illustrative cases, this paper examines the practical challenges of operationalizing and measuring HRM, measuring the various outcomes and assessing the relationship between HRM and corporate performance. Despite the problems, it is suggested that significant progress has been made. While possible solutions to some of the problems are put forward, it is argued that a key requirement remains more clearly specified theory, particularly theory about the nature of HRM.     

中小板上市公司股权结构对融资偏好的影响研究

本文从代理成本和控制权收益角度分析了股权结构对融资偏好的影响,以2006年年底之前在中小企业板上市的102家公司2007至2009年的数据为样本进行了实证分析。研究结果表明,不同类型的股权结构对公司融资偏好的影响有着很大差异。法人股比例与股权融资率显著正相关,限售自然人持股比例和股权融资率呈负相关关系,国有股、高管持股比例、股权集中度、股权制衡度则对股权融资率影响不显著。中小板上市公司并未表现出主板上市公司偏好股权融资的特征,但高管持股比例过低、一股独大是中小板与主板上市公司的共性。我国中小板上市公司的高管持股比例需要提高,股权激励制度仍需进一步完善,股权集中度和股权制衡度应适度提高。     

会计信息责任的再认识

会计信息能引导社会经济资源的优化配置,进而影响整个国民经济的发展。因此,对会计信息质量有一定的要求。但是目前会计信息的质量状况令人堪忧。因而,有必要对保证会计信息质量的责任体系进行分析,以期对会计信息责任体系有全面的认识。     

A PRIMER ON GLOBAL GAMES APPLIED TO MACROECONOMICS AND FINANCE

This paper shows how to solve global games applied to macroeconomics and finance. We ascertain the roles of public and private information for the determination of a unique equilibrium, and discuss the informative role of market prices. We examine the impact of public information on social welfare, comparing models with and without complementarities at the aggregate level.     

Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Financial development,portfolio investments and the real economy in Africa

According to the conservative view, capital flows enhance economic growth. Focussing on Africa’s real economy, this study investigates the linkage between portfolio investments and real sector growth, and whether financial sector development strengthens this association. The study covers 30 countries over the period 1990–2017. We adopt the Lewbel instrumental variable general method of moments (IV-GMM) two-step robust estimator, which relies on heteroscedasticity for identification, while dealing with instrument insufficiency, unavailability, endogeneity and omitted variable bias. We found that portfolio equity has no growth impact on Africa’s real sector. Debt flows deter the growth of the overall real sector as well as the manufacturing and industrial sectors, but have no impact on agriculture and service growth. We found that financial development does strengthen the positive association between capital flows and economic growth, but this is dependent on the type of sector and portfolio investment, as well as on the degree of financial development. We control for known determinants of economic growth.     

Stochastic leader–follower DEA models for two-stage systems

Data envelopment analysis (DEA) is a non-parametric approach for measuring the relative efficiencies of peer decision making units (DMUs). In recent years, it has been widely used to evaluate two-stage systems under different organization mechanisms. This study modifies the conventional leader–follower DEA models for two-stage systems by considering the uncertainty of data. The dual deterministic linear models are first constructed from the stochastic CCR models under the assumption that all components of inputs, outputs, and intermediate products are related only with some basic stochastic factors, which follow continuous and symmetric distributions with nonnegative compact supports. The stochastic leader–follower DEA models are then developed for measuring the efficiencies of the two stages. The stochastic efficiency of the whole system can be uniquely decomposed into the product of the efficiencies of the two stages. Relationships between stochastic efficiencies from stochastic CCR and stochastic leader–follower DEA models are also discussed. An example of the commercial banks in China is considered using the proposed models under different risk levels.     

Government support and bank performance during the 2007–2008 financial crisis

Though previous studies suggest a state participation has a negative impact on banks, this paper highlights the potential benefits of state ownership for confidence and stability in the post-crisis period that can outweigh the inefficiencies and potential for corruption of political intervention. We find that the state guarantees are valuable during the crisis. The negative (positive) relation between state ownership and bank profitability (risk) is mitigated in the post-crisis period. Financially troubled banks that receive a transfer payment or capital injection experience improved performance during the post-bailout period.     

The impact of non-performing loans on bank lending in Europe: An empirical analysis

In the aftermath of the global financial crisis, considerable attention has been paid to the accumulation of non-performing loans in the balance sheet of European banks and to its potential negative effects on bank lending to the real economy. Using a dataset composed of bank-specific information and country aggregates, we study the impact of the stock and the flow of non-performing loans on the lending activities of a sample of 75 European banks between 2014 and 2018. In general, higher rates of non-performing loans, together with other variables, are associated with lower growth rates of performing loans. This effect persists across several econometric specifications and is more significant for those banks exhibiting lower growth rates of performing loans. Similarly, our econometric analysis suggests that banks with higher decreases in their rate of non-performing loans tend to lend more to the real economy, an effect which is particularly intense at the right tail of the distribution. The findings of our paper can be useful for policymakers when addressing the resolution of non-performing loans in banks.     

国际资金循环测度的统计方法及应用

研究目标：本文研究如何测量国际资金循环（Global Flow of Funds,GFF）,试图整合国际金融相关数据源,创建GFF统计矩阵。研究方法：讨论了GFF的基本概念,确定了国际资金循环的统计范围。按照2008SNA所提倡的From Whom to Whom 的统计基准,建立了GFF的统计框架,据此框架整合了国际金融组织之间的数据系统关系和现有的国际金融统计数据源。研究发现：利用相关统计创建了GFF矩阵模型表,试编了一个包含中国在内的由11个国家所构成的“国家×国家”的GFF统计矩阵表。研究创新：创建了GFF矩阵表,展开了以中国为主要观测对象的国际跨境资本比较分析。研究价值：建立了观测GFF统计,开辟了新的分析视野,客观揭示了中国在GFF中的状况及现存的主要问题。