Financial Sector Volatility,Banking Market Structure and Exports

This paper assesses the impacts of financial sector volatility and banking market structure on industrial exports. By utilising the specification of Rajan and Zingales (American Economic Review 1998; 88 , 559) on the cross‐country, cross‐industry data from Manova (Journal of International Economics 2008; 76 , 33), we find that financial sector volatility, measured as the standard deviation of the growth of private credit, and banking market structure, measured as the share of the three largest banks’ assets in a country, respectively exert significantly negative and positive impacts on industrial exports, particularly for those industries that are more externally financially dependent. The findings are robust to a variety of kinds of sensitivity analysis and thus lend support to the notion that a more stable and concentrated banking system is important to the exports of those industries that rely more on external finance.     

不同产地中试生产葡萄酒中白藜芦醇的含量测定

目的是建立中试生产葡萄酒中白藜芦醇的含量测定方法。方法系采用高效液相色谱法测定了白藜芦醇的含量,C_(18)色谱柱(250 mm×4.6 mm,5μm),流动相为甲醇∶水=40∶60,流速1mL/min,检测波长306 nm,柱温30℃。结果显示白藜芦醇与样品中其他组分分离效果较好,白藜芦醇在0.271 3~4.340 0μg范围具有良好线性关系,相关系数r=0.999 9;平均回收率为94.6%,RSD为1.97%(n=6)。结论为采用此法准确可靠,可用于该葡萄酒的质量控制。     

The Ethics of Meaningful Work: Types and Magnitude of Job-Related Harm and the Ethical Decision-Making Process

This research on the ethics of meaningful work examined how types of job-related harm (physical, economic, emotional, and cognitive) and their magnitude of consequences (MOC, low, high) influenced components of ethical decision-making (moral recognition, moral evaluations, and moral intentions). The research also investigated the moderating effects of individual differences (experience with carpal tunnel syndrome, experience with layoffs, ability to read others’ emotions, and intrinsic motivation orientation [IMO]) on the relation between the MOC and the ethical decision-making elements for each type of harm. Using a sample of 185 Chinese professionals, a between-subjects, fully crossed experimental scenario design revealed that physical and economic job-related harm were recognized as moral issues to a greater extent than cognitive or emotional harm. Second, physical job-related harm stimulated a higher level of moral evaluations than economic and cognitive harm. Third, individuals intended to act ethically when MOC was high versus low. Finally, experience with layoffs and IMO helped explain the relations between MOC and moral evaluations for economic and cognitive job-related harm, respectively. Implications for research and management are discussed.     

基于结构方程模型的物流企业品牌培育影响因素实证研究

通过专家咨询和行业访谈，设计了物流企业品牌培育影响因素的调查问卷，并开展了深度访谈和实地调研，基于结构方程原理构建了物流企业品牌培育影响因素模型，利用AMOS17.0软件和SPSS17.0软件对获得的数据进行了测量和分析。研究认为产业支撑和资源基础是物流企业品牌创建和成长的天然土壤，同时，政府扶持政策及行业协会对品牌的经营管理，对提高物流企业品牌的知名度和价值有着至关重要的作用。     

明清徽州土地字号的分配与使用实态

明清时代的徽州民间文书和赋役文献广泛使用土地字号。明初,土地字号的分配单元是保,万历清丈以后逐渐演变为以图为单位,显示出图甲组织在基层地籍编造管理中的作用。在图甲组织的地籍管理、民间社会的契约表述等实际使用场合,土地字号与基层单元的结合仍带有明显的都保痕迹。图甲的增减变动也对字号分配有较大影响。     

论制造业企业金融资产投资的影响

本文对制造业企业金融资产投资的基本含义进行概述，从金融资产投资的利弊方面引申出制造业企业金融资产投资的影响。研究发现，制 造业企业金融资产投资可以让企业从中获得高额的资产收益，但是伴随而来的也有经营风险增加和资金及资源供给不足的问题。     

The impact of environmental regulation on Chinese spatial development

We examine the relationship between environmental regulation and spatial development in China. Exploiting changes in national pollution standards for three industries, ammonia, paper and cement, we measure the impact of environmental regulation on industry productivity. Our results suggest that national pollution standards do not affect industry productivity, but they reallocate productivity spatially. We show that regulated industries located in developing cities increase their productivity compared to similar industries in other cities. This means that environmental regulation affects the spatial distribution of technology in China and might influence long‐term spatial development by reducing geographical disparities.     

Integration of network data envelopment analysis and decision-making trial and evaluation laboratory for the performance evaluation of the financial holding companies in Taiwan

Data envelopment analysis (DEA) has been constantly used to measure the technical efficiency of decision-making units (DMUs). However, the major problem of traditional DEA methods is that they do not consider the possible intermediate effects. Recently, many papers have applied network DEA models to evaluate the efficiency scores. However, the linking activity of DMUs is still hard to be recognized. Hence, we employ DEMATEL to obtain the linking activity of DMUs. Our empirical research shows that the proposed method can soundly deal with the purpose of identifying the relationship between variables and derive the reasonable result in network DEA.     

Analysing Systemic Risk in the Chinese Banking System

We examine systemic risk in the Chinese banking system by estimating the conditional value at risk (CoVaR), the marginal expected shortfall (MES), the systemic impact index (SII) and the vulnerability index (VI) for 16 listed banks in China for the 2007–2014 period. We find that these measures show different patterns, capturing different aspects of systemic risk of Chinese banks. However, rankings of banks based on these measures are significantly correlated. The time‐series results for the CoVaR and MES measures suggest that systemic risk in the Chinese banking system decreased after the global financial crisis but started rising in 2014.     

Pairs trading strategies in a cointegration framework: back-tested on CFD and optimized by profit factor

Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegration approach and ECM-DCC-GARCH to construct 98 pairs of 152 stocks of 3 currencies. Stocks trading is done by Contract for Difference (CFD), a financial derivative product which facilitates short selling and provides a leverage up to 25 times. To measure the performance of a leveraged strategy, we introduced the profit factor which is the annualized return rate per unit risk. And the historical risk is measured by maximum drawdown. We compared three main strategies: percentage, standard deviation of cointegration long-term residuals and Bollinger Bands (dynamic standard deviation), with and without double confirmation of short-term standard deviation modelled by ECM-DCC-GARCH. Each of the three main strategies is optimized by two optimizers: absolute profit and profit factor. The optimization period goes from 2012–01-01 to 2014–12-31, and validation period is from 2015–01-01 to 2016–06-01. Our results showed that the USD Bollinger Bands strategy without double confirmation and optimized by profit factor, outperformed other strategies and provided the highest annualized return rate per unit risk; 32% of our sample pairs ended up in loss, and 94% of which are explained by a cointegration break during the testing period.